WO2019105046A1

WO2019105046A1 - Detection system and method, and applicable 3d print device

Info

Publication number: WO2019105046A1
Application number: PCT/CN2018/096320
Authority: WO
Inventors: 于清晓; 荣左超; 王金成
Original assignee: 上海联泰科技股份有限公司
Priority date: 2017-11-28
Filing date: 2018-07-19
Publication date: 2019-06-06
Also published as: CN107756814A

Abstract

The present application provides a detection system and method, and an applicable 3D print device. The detection system comprises a photography device placed in a 3D print device, and a detection device connected to the photography device. A detection image photographed by the photography device during the operation of the 3D print device is analyzed to detect the manufacturing process of manufacturing a three-dimensional object by the 3D print device. Key parts of the 3D print device in the present application are not required to be modified, thereby carrying out real-time detection during the three-dimensional object manufacturing process.

Description

Detection system, method and applicable 3D printing device

Technical field

The present application relates to the field of 3D printing, and in particular, to a detection system, method, and applicable 3D printing device.

Background technique

3D printing is a kind of rapid prototyping technology. It is a technique for constructing objects by layer-by-layer printing based on digital model files using adhesive materials such as powder metal, plastic and resin. A 3D printing device manufactures a 3D object by performing such a printing technique. 3D printing equipment has a wide range of applications in the fields of molds, customized goods, medical fixtures, and prostheses due to high molding precision. Among them, the 3D printing device based on the bottom exposure has more material saving than the top surface exposure because it only needs to be provided with less material at the bottom of the container, and thus is favored by many individual product manufacturers.

The bottom exposed 3D printing apparatus is provided with a container having a transparent bottom surface for holding a material to be molded; the energy radiation system radiates energy to the material of the bottom surface of the container facing the transparent floor, so that the material located on the bottom surface of the container is solidified into The same cured layer as the radiation; in order to fill the new material, the cured layer is attached to the component platform by the Z-axis drive mechanism to fill the gap between the bottom surface of the container and the solidified layer, repeating the above process To create three-dimensional objects. During the manufacture of a three-dimensional object by a 3D printing apparatus, each device or system therein may experience a decline or an abnormality, and therefore, it is necessary to monitor the process of manufacturing a three-dimensional object by the 3D printing apparatus.

Summary of the invention

The present application provides a detection system, method, and applicable 3D printing apparatus for solving a monitoring problem during manufacture of a three-dimensional object by a 3D printing apparatus of a bottom exposure.

To achieve the above and other objects, the present application provides, in a first aspect, a detection system for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiant system and a component platform on a bottom surface of the molding chamber, wherein And the component platform is cumulatively adhered to the solidified layer selectively cured in the molding chamber by the energy radiation system, wherein the detecting system comprises: a photographing device, configured to: when the component platform drives the cumulative adhesion curing layer After the bottom surface of the molding chamber is peeled off, an image of the molding chamber is photographed to obtain a detection image; and a detecting device is connected to the photographing device for detecting a process of manufacturing the three-dimensional object by the 3D printing device by analyzing the detected image.

The present application provides, in a second aspect, a detection system for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiation system, and a component platform, wherein the component platform is cumulatively attached to the molding chamber a curing layer selectively curable by an energy radiation system, wherein the detecting system comprises: a photographing device for photographing when a solidified layer attached to the component platform is attached to or close to a printing reference surface in the molding chamber An image of the molding chamber to obtain a detection image; and a detecting device connected to the photographing device for detecting a process of manufacturing the three-dimensional object by the 3D printing device by analyzing the detected image.

The present application provides, in a third aspect, a detection system for detecting an energy radiation system of a 3D printing device, wherein the detection system comprises: imaging means for during an image projection of the energy radiation system into the molding chamber And projecting the projected image to obtain a detection image; and detecting means connected to the imaging device for detecting energy of the energy radiation system by analyzing the detection image.

A fourth aspect of the present application provides a 3D printing apparatus comprising: a molding chamber for holding a material to be molded; an energy radiation system located on a bottom surface of the molding chamber for selectively curing the data according to the received slice pattern a material to form a solidified layer; a component platform for cumulatively attaching the solidified layer; a Z-axis driving mechanism coupled to the component platform for adjusting a spacing between the component platform and a bottom surface of the molding chamber; The detection system according to any one of the preceding aspects, for detecting a manufacturing process of a three-dimensional object accumulated by a solidified layer; and control means for controlling the Z-axis drive based on a detection result of the detection system Mechanism and energy radiation system.

A fifth aspect of the present application provides a 3D printing apparatus comprising: a molding chamber for holding a material to be molded; an energy radiation system located at a bottom surface of the molding chamber for selectively curing the material according to the data of the received slice pattern Forming a solidified layer; a member platform located in the molding chamber for cumulatively attaching the solidified layer; a Z-axis driving mechanism connected to the member platform for adjusting the member platform and the bottom surface of the molding chamber A spacing system according to any one of the preceding claims, for detecting a manufacturing process of a three-dimensional object accumulated by a solidified layer; and a control device for controlling the detection result based on the detection result of the detection system The Z-axis drive mechanism and the energy radiation system.

A sixth aspect of the present application provides a 3D printing apparatus comprising: an energy radiation system located on a bottom surface of the molding chamber for selectively curing a material according to data of the received slice pattern to form a solidified layer; A detection system for detecting an image illuminated by the energy radiation system.

A seventh aspect of the present application provides a detecting method for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiation system and a component platform located on a bottom surface of the molding chamber, wherein the component platform is cumulatively attached thereto a curing layer selectively cured by the energy radiation system in a molding chamber, wherein the detecting method comprises: when the component platform drives the cumulative adhesion curing layer to be peeled off from the bottom surface of the molding chamber, and photographing the molding chamber The image is obtained to obtain a detected image; and the process of manufacturing the three-dimensional object by the 3D printing device is detected by analyzing the detected image.

The eighth aspect of the present application provides a detecting method for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiation system, and a component platform, wherein the component platform is cumulatively attached to the molding chamber a cured layer selectively cured by an energy radiant system, wherein the detecting method comprises: when the accumulated cured layer on the member platform is close to or located on a printing reference surface in the molding chamber, photographing the molding chamber The image is obtained to obtain a detected image; and the process of manufacturing the three-dimensional object by the 3D printing device is detected by analyzing the detected image.

A ninth aspect of the present application provides a detecting method for detecting an energy radiation system of a 3D printing device, wherein the detecting method includes: capturing a projected image during an image projected by the energy radiation system into the molding chamber To obtain a detected image; detecting energy of the energy radiation system by analyzing the detected image.

A tenth aspect of the present application provides an electronic device, comprising: a memory for storing a detected image from a photographing device and at least one computer program; at least one processor; when the one or more computer programs are the one or more The processor, when executed, causes the one or more processors to perform the method of any one of the preceding sixth aspects, the method of any of the preceding seventh aspects, or A method as described.

The detection system, method and applicable 3D printing apparatus provided by the present application determine whether the peeling operation causes a drop by taking a detection image after performing a peeling operation on the 3D printing apparatus, and detecting whether the detected image has a residual pattern. Or a break event; evaluating the image by curing a solidified layer thickness in the 3D printing device and evaluating the pattern of the cured layer in the detected image in conformity with the corresponding slice pattern; and using the image gray scale versus energy radiation system presented by the cured layer The energy is monitored. Thus, it is not necessary to modify the key parts of the 3D printing device to achieve real-time detection during the manufacture of the three-dimensional object.

DRAWINGS

1 is a schematic structural view of a 3D printing apparatus in an embodiment.

2 is a schematic structural view of a 3D printing apparatus including the detection system of the present application in an embodiment.

3 is a flow chart of an embodiment of the detection method of the present application.

4 is a flow chart of a detection method of the present application in still another embodiment.

FIG. 5 is a schematic diagram showing the distribution of the gradation difference between the standard image and the acquired detected image.

FIG. 6 is a flowchart of a detection method of the present application in still another embodiment.

FIG. 7 is a schematic structural diagram of a 3D printing apparatus including the detection system of the present application in still another embodiment.

Detailed ways

The embodiments of the present application are described below by specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present application by the contents disclosed in the present specification. The present invention may be embodied or applied in various other specific embodiments, and various modifications and changes may be made without departing from the spirit and scope of the invention.

It should be noted that the structures, the proportions, the sizes, and the like of the drawings in the present specification are only used to cooperate with the content disclosed in the specification for understanding and reading by those skilled in the art, and are not intended to limit the present application. The qualifications that can be implemented are not technically meaningful. Any modification of the structure, change of the proportional relationship or adjustment of the size should be continued without affecting the effects and objectives of the application. It is within the scope of the technical content disclosed in the present application. In the meantime, the terms "upper", "lower", "left", "right", "intermediate" and "one" as used in this specification are also for convenience of description, and are not intended to limit the present. The scope of the application can be implemented, and the change or adjustment of the relative relationship is considered to be within the scope of the application.

The quality factor of the finished product of the 3D printing device that affects the bottom exposure is affected by the energy distribution of the energy radiation system, the energy output stability, the missing parts, and the broken parts. This is related to the structure of the 3D printing device with a bottom exposure. Here, the 3D printing apparatus of the bottom surface exposure is classified based on the light radiation direction of the optical system of the 3D printing apparatus, and the 3D printing apparatus of the bottom surface exposure refers to the light energy selectivity using bottom-up radiation in the vertical direction. The material is cured to obtain a cross section corresponding to the manufactured three-dimensional object. Please refer to FIG. 1, which is a schematic structural diagram of a 3D printing apparatus. The 3D printing apparatus includes a molding chamber 11, an energy radiation system 14, a component platform 12, a Z-axis driving mechanism 13, and a control device 15. Wherein, the molding chamber 11 contains materials, and in some application scenarios, the molding chamber is also referred to as a resin tank. Such materials include, but are not limited to, photosensitive materials such as photosensitive resins, or photosensitive resins mixed with other materials to enhance the physical and chemical properties of the manufactured three-dimensional object. The bottom surface of the molding chamber is transparent to transmit radiant energy such as light energy, electromagnetic energy, and the like. The energy radiant system 14 is located on the bottom surface of the molding chamber and radiates energy toward the transparent ground, including but not limited to: surface exposed energy radiation devices, or scanning radiation energy radiation devices, and the like. The material utilizing the surface of the irradiated energy forming chamber will be selectively cured, and the cured layer after curing is attached to the member platform. In order to accumulate layer by layer to obtain a three-dimensional object, the Z-axis drive mechanism 13 drives the component platform 12 to peel the cured layer from the bottom surface of the molding chamber and provide a new cured layer with a high spacing to accumulate the layers of the cured layer on the component platform. The control device 15 is connected to the energy radiation system 14 and the Z-axis drive mechanism 13, respectively, and controls the two to work in coordination to realize layer-by-layer manufacturing of three-dimensional objects. The control device 15 is generally an electronic device including a processor, including but not limited to: a computer device, an industrial computer, an electronic device based on an embedded operating system, and the like. Taking a 3D printing device based on the bottom surface exposure as an example, it is easy to cause a problem that the manufactured three-dimensional object is defective when performing operations such as energy radiation and peeling. Therefore, in some 3D printing devices, a sensing device is provided for detecting 3D printing. Anomalies that occur during the operation of the device. However, in order to provide a sensing device, not only does the 3D printing device need to be modified, but a sensing device typically only provides a detection for the 3D printing device. For example, a pressure sensor mounted on the Z-axis drive mechanism detects whether a drop abnormality occurs during peeling. As another example, an energy abnormality or the like outputted by the energy radiation system is detected by a light intensity sensor installed in the energy radiation system.

In addition, the quality factor of the finished product of the 3D printing device that affects the top exposure is mainly the energy distribution of the energy radiation system, the energy output stability, and the like. Here, the top exposed 3D printing apparatus is classified based on the light radiation direction of the optical system of the 3D printing apparatus, and the top exposed 3D printing apparatus refers to the light energy radiated from the top down in the vertical direction. The material is selectively cured to obtain a cross section corresponding to the manufactured three-dimensional object. Please refer to FIG. 7, which is a schematic structural view of a top exposure 3D printing apparatus. The 3D printing apparatus includes a molding chamber 31, an energy radiation system 34, a Z-axis drive mechanism 33, and a doctor blade device 36. Unlike the bottom exposed 3D printing device, the energy radiant system 31 is located above the opening of the molding chamber and faces the surface of the material in the molding chamber (ie, the printing reference surface) radiating energy, including but not limited to: surface exposed energy radiation device, Or scanning a radiation type energy radiating device or the like. The material utilizing the surface of the irradiated energy forming chamber will be selectively cured, and the cured layer after curing is attached to the member platform. In order to accumulate layer by layer to obtain a three-dimensional object, the Z-axis driving mechanism 33 drives the member platform 32 downward by a high distance so that the material contained in the molding chamber 31 covers the cured solidified layer. The doctor device 36 is moved from one side of the molding chamber to the other to smooth the surface of the material in the molding chamber 31. The control device 35 is connected to the energy radiation system 34, the Z-axis drive mechanism 33 and the scraper device 36, respectively, to control the three to coordinate the work to realize the layer-by-layer manufacturing of the three-dimensional object. The control device 35 is generally an electronic device including a processor, including but not limited to: a computer device, an industrial computer, an embedded operating system-based electronic device, or the like.

Taking a 3D printing device based on top exposure as an example, it is easy to cause a problem that the manufactured three-dimensional object is defective when performing energy radiation and pacing operation. Therefore, in some 3D printing devices, a sensing device is provided for detecting Anomalies that occur in 3D printing devices during these operations. However, in order to provide a sensing device, not only does the 3D printing device need to be modified, but a sensing device typically only provides a detection for the 3D printing device. For example, an energy abnormality or the like outputted by the energy radiation system is detected by a light intensity sensor installed in the energy radiation system.

The printing abnormality of the 3D printing device for the bottom exposure and the 3D printing device for the top exposure, and pushing to other 3D printing devices in which any one or more of the above abnormalities occur, in order to facilitate 3D printing more conveniently The device performs detection, and the present application provides a detection system that performs detection operations for different detection purposes at appropriate times during the operation of the 3D printing device. Wherein, the detection system comprises a photographing device and a detecting device.

The photographing device includes, but is not limited to, a camera, a video camera, a camera module integrated with a lens and a CCD, or a camera module integrated with a lens and a CMOS. Wherein, according to the structure of the 3D printing apparatus, the photographing apparatus can be installed at the bottom of the molding chamber or the upper side of the opening of the molding chamber. For example, the 3D printing apparatus is a top-exposed 3D printing apparatus, and the photographing apparatus is mounted on the upper side of the molding chamber opening and takes a detection image toward the opening of the molding chamber. As another example, please refer to FIG. 2, which is a schematic structural view of a 3D printing apparatus including a bottom surface exposure of a detection system in an embodiment. The photographing device 21 is mounted outside the molding chamber 11. In some specific examples, the camera 21 is mounted at the bottom of the molding chamber and does not affect the location at which the energy radiant system 14 performs the curing operation. For example, the side bottom of the molding chamber 11 is also a transparent structure, and the photographing device 21 can be supported near the side bottom. As another example, the camera 21 is supported below the transparent bottom surface of the molding chamber and does not affect the location at which the energy radiation system 14 illuminates energy. The imaging device 21 is photographed toward the molding chamber 11. In order to be able to satisfy various detection schemes for a 3D printing apparatus, the photographing device 21 can be mounted on the bottom surface of the molding chamber 11.

The detecting device is connected to the photographing device through a data line, which is an electronic device capable of performing digital calculation and logic operation, including but not limited to: an embedded electronic device, a computer device including one or more processors, and a single chip microcomputer including the processor. Wait. The detecting device may share an electronic device with the aforementioned control device or be separately configured, and the detecting device and the control device may implement data communication through a data line or a program interface. Taking FIG. 2 as an example, the control device 15 simultaneously transmits control commands to the Z-axis drive mechanism 13 and the detection device 22. For example, still taking FIG. 2 as an example, the control device 15 simultaneously sends the same control command to the imaging device 21 and the detecting device 22; the control device 15 can also separately send some control commands to the detecting device 22, The detecting device 22 controls the photographing device 21 to perform photographing based on the control command.

It should be noted that, in the top exposure 3D printing apparatus, the detecting means can control the shooting timing of the photographing apparatus by the above example. It will not be repeated here.

The detecting system may acquire the detection image at any time during the operation of the 3D printing device, and use the image data captured in the detection image in combination with the working state of the corresponding moment of the 3D printing device to detect the three-dimensionally manufactured by the 3D printing device. Whether the object is abnormal.

According to the working process of the above 3D printing apparatus, when the material of the bottom surface of the molding chamber is selectively cured by the energy radiation system, the material which is selectively solidified changes from a liquid state to a solid state due to a change in physical form. When the Z-axis drive mechanism drives the component platform to separate the accumulated solidified layers from the bottom surface of the molding chamber, the reverse action between the adhesion of the cured layer and the bottom surface of the molding chamber and the tensile force generated by the Z-axis driving mechanism, the Z-axis The driving mechanism drives the component platform and the attached cured layer to complete the separation by overcoming the adhesion of the cured layer to the bottom surface of the molding chamber. This process is called a peeling operation process. An image of the detection system during the stripping operation can be utilized to detect whether a three-dimensional object has a missing or broken event during the manufacturing process.

To this end, the photographing device takes an image of the molding chamber to obtain a detection image when the component platform drives the cumulative adhesion curing layer to peel off from the bottom surface of the molding chamber.

In some embodiments, the photographing device can be controlled by a control device in the 3D printing device. Wherein, the control device is connectable with the Z-axis drive mechanism and the energy radiation system for cooperatively controlling the Z-axis drive mechanism and the energy radiation system to perform a layer-by-layer curing operation. When the control device controls the Z-axis drive mechanism to move upward during the upward movement, a photographing instruction is issued to the photographing device, and the photographing device photographs the detected image in the molding chamber after the peeling operation. For example, the control device issues a photographing instruction to the photographing device upon detecting completion of the peeling operation. For another example, when the control device controls the Z-axis drive mechanism to move to the highest point, a photographing instruction is issued to the photographing device. For another example, when the control device controls the movement of the Z-axis driving mechanism such that the gap between the lower bottom surface of the upper solidified layer and the bottom surface of the molding chamber is higher than the solidified layer to be solidified, a photographing instruction is issued to the photographing device.

It should be noted that the timing of issuing the above-mentioned photographing instruction is merely an example and not a limitation of the present application. In fact, the photographing instructions can be issued during any of the two timing intervals of the above examples. The purpose is to provide an image of the gap between the bottom surface of the molding chamber and the solidified layer to the detecting device.

In other embodiments, the photographing device captures the detected image after the component platform drives the cumulative adhesion curing layer to peel off from the bottom surface of the molding chamber based on the photographing instruction of the detecting device. In a specific example, the detecting device acquires a control instruction of the control device to the Z-axis driving mechanism or the energy radiation system, and can issue a photographing instruction to the photographing device according to the control command. For example, the detecting device issues a photographing instruction to the photographing device after receiving a delay of the upward movement control command. The delay is limited to the time interval from the completion of the stripping operation to the next energy irradiation.

The detecting device is connected to the photographing device for detecting a process of manufacturing a three-dimensional object by the 3D printing device by analyzing the detected image.

Here, when the material of the bottom surface of the molding chamber is selectively cured by the energy radiation system, the physical shape changes, the selectively cured material changes from a liquid state to a solid state, and the contour shape of the solidified layer formed on the bottom surface of the molding chamber can be photographed. The device was photographed. To this end, the detecting device can determine the 3D printing device by analyzing the contour shape, even the contour sharpness, etc. in the detected image taken after the component platform drives the cumulative adhesion curing layer to be peeled off from the bottom surface of the molding chamber. Whether the manufactured three-dimensional object has a missing or broken event.

In order to more accurately determine that the identified contour, shape corresponds to an event of a drop or a break, the detecting means detects a pattern at a gap between the bottom surface of the molding chamber and the solidified layer depicted in the detected image. And determining whether the manufactured three-dimensional object is abnormal when it is determined that the manufactured three-dimensional object is defective based on the detection result, that is, when it is determined whether the manufactured three-dimensional object has a falling or broken event.

Wherein, in order to improve the detection accuracy and the detection speed, the detecting device focuses on detecting an area in the detected image corresponding to the gap between the bottom surface of the molding chamber and the solidified layer.

In one embodiment, the detecting device detects a region in the detected image according to a preset bottom surface of the molding chamber, and detects a pattern located at a gap between the bottom surface of the molding chamber and the solidified layer in the detection region, and determines whether based on the detection result A lost or broken event has occurred. Wherein, the photographing device can be positioned at a mounting position on the 3D printing device before leaving the factory, and correspondingly, the detecting device can pre-acquire and save the region of the bottom surface of the molding chamber corresponding to the image in the image. If it is detected that the detection feature includes the contour feature, it is determined that a falling or broken event occurs, and vice versa, it is determined that the corresponding event does not occur, and waits for detecting the detected image after the next peeling operation. Alternatively, if the detecting device detects that the pattern ambiguity in the detection area falls within the preset alarm threshold range, it is determined that a falling or broken event occurs, and vice versa, it is determined that the corresponding event does not occur, and waits for detecting the next peeling operation. Detection image.

In another embodiment, the detecting means determines the detection area by recognizing the contour of the bottom surface of the molding chamber in the detection image, in which the pattern located at the gap between the bottom surface of the molding chamber and the solidified layer is detected, and whether or not the occurrence occurs based on the detection result Drop or broken event. In order to facilitate the determination of the contour of the bottom surface of the molding chamber, marking information may be provided in a region that is not radiated from the bottom surface of the molding chamber. For example, a calibration mark on the bottom surface of the molding chamber or a mark point on the bottom edge of the molding chamber. The detecting means determines the detection area in the detected image by detecting the mark information, and detects a pattern located at a gap between the bottom surface of the molding chamber and the solidified layer in the detection area, and determines whether a drop or a break event occurs based on the detection result. If it is detected that the detection feature includes the contour feature, it is determined that a falling or broken event occurs, and vice versa, it is determined that the corresponding event does not occur, and waits for detecting the detected image after the next peeling operation. Alternatively, if the detecting device detects that the pattern ambiguity in the detection area falls within the preset alarm threshold range, it is determined that a falling or broken event occurs, and vice versa, it is determined that the corresponding event does not occur, and waits for detecting the next peeling operation. Detection image.

In order to reduce the interference of the external environment on the detection result, for example, the change of the intensity of the external ambient light during the shooting, the occlusion of the figure, etc. may affect the accuracy of the detection device detecting the missing or broken event. The detection system also includes a light environment providing device disposed about the energy radiation system for providing a stable light environment during the photographing of the camera. The light environment providing device can be externally placed on the 3D printing device. For example, the light environment providing device may provide an optical environment for the photographing device using an external light source such as an LED light.

In some embodiments, the light environment providing device includes an isolation barrier and a light source. Wherein the isolation barrier is used to isolate at least the illumination range of the energy radiation system from the external environment. The light source is disposed within the isolation barrier for providing a stable light environment for the camera.

Here, the isolation barrier mainly functions as a light blocking or reflecting light. For example, the light shielding barrier is a visor, a reflector, a light shielding cloth, a reflective cloth, or a hood. The light source can always provide a light environment during operation of the 3D printing device. Or depending on the principle of the flash, the light source provides a light environment when the camera is taking a picture to ensure a stable exposure of the camera. The light source may be an LED light source, or a flash lamp or the like.

The detecting system determines whether the peeling operation causes a drop or a break event by taking a detected image after performing the peeling operation on the 3D printing apparatus and detecting whether the detected image has a residual pattern. Thus, there is no need to modify the critical parts of the 3D printing device to enable real-time detection of missing or broken events during manufacture of the three-dimensional object. When detecting the occurrence of the event, the detection system further includes a prompting device coupled to the detection device for indicating the detection information. For example, the prompting device can be a display device on a 3D printing device. When the detecting device detects the event, a prompt message is displayed on the display device. As another example, the prompting device can be a smart terminal of a technician. When the detecting device detects the event, the corresponding prompt message is sent to the corresponding smart terminal by using a short message or a network, and the smart terminal can prompt by using a short message tone or a message window. For another example, the prompting device may be a technician's email server and a mailbox configuration terminal. When the detecting device detects the event, the corresponding prompt message is sent by e-mail to the mailbox server and the mailbox configuration terminal.

It should be noted that the detecting device can obtain not only the occurrence of the event by analyzing the detected image, but also detecting that a defective three-dimensional object is generated when the manufactured three-dimensional object is incomplete based on the detection result.

In some embodiments, the detecting device may also take a reference image containing all of the three-dimensional object contours produced before the end of the stripping operation. When it is determined that the manufactured three-dimensional object is incomplete based on the detection result, the detecting means may determine the correspondingly-deficient three-dimensional object according to the position in the reference image corresponding to the contour of the falling part. For example, the detecting means detects the position of the transparent bottom surface area in the detected image by the contour of the falling part in the detected image, and the positional relationship between the falling piece outline and the bottom surface image of the molding chamber, the detecting means The regional position and positional relationship correspond to the reference image and determine the location of the missing three-dimensional object.

In still other embodiments, the detecting device may utilize a correspondence relationship between a preset image pixel and an actual transparent bottom surface unit size, and may use a coordinate system when determining a position of the falling portion in detecting a position of the transparent bottom surface region in the image. The conversion results in the actual position of the defective three-dimensional object manufactured by the 3D printing device.

The detecting device can provide the positioned defective three-dimensional object as a detection result to a technician and/or a 3D printing device. Alternatively, when the detecting device is connected to the control device of the 3D printing device, the detecting device may further provide the defective three-dimensional object to the control device. When the detecting device provides the detection result to the technician, the technician can obtain the missing or broken event and the corresponding position in time. When the detecting means supplies the detection result to the control means of the 3D printing apparatus, the control means may adjust the printing policy based on the detection result. For example, when the 3D printing apparatus manufactures a plurality of three-dimensional objects, it is possible to adjust to continue printing the remaining three-dimensional objects or to suspend printing by using the determined position of the abnormal object.

The detection systems provided by the above examples can be separately configured on a 3D printing device or sold as part of a 3D printing device.

Please refer to FIG. 2, which is a structural diagram of a 3D printing device configured with a detection system in an embodiment. The 3D printing apparatus includes a molding chamber, an energy radiation system, a component platform, a Z-axis drive mechanism, a control device, and any of the detection systems provided by the examples above.

The molding chamber is used to hold the material to be formed. The forming chamber is exemplified by a container holding the material, the container having a transparent bottom surface. In some embodiments, the transparent bottom surface is further provided with a transparent film that facilitates peeling. Materials to be contained include, but are not limited to, photosensitive materials such as photosensitive resins, or photosensitive resins mixed with other materials to enhance the physical and chemical properties of the manufactured three-dimensional object.

The energy radiant system is located below the transparent bottom surface and radiates energy to the transparent bottom surface, the radiated energy solidifies a portion of the material of the transparent bottom surface to the range of energy radiation, and the cured thickness and the material located on the transparent bottom surface The thicknesses are matched and the resulting cured layer is the cured layer formed by selective curing.

In some embodiments, the energy radiation system includes a face exposure based projection device. For example, the projection device includes a DMD chip, a controller, and a memory module. The storage module stores a slice graphic layering the 3D component model. After receiving the control signal from the controller, the DMD chip irradiates each pixel on the layered image corresponding to the slice pattern to the bottom surface of the container. Among them, the appearance of the DMD chip looks like a small mirror, which is enclosed in a confined space composed of metal and glass. In fact, this mirror is composed of hundreds of thousands or even millions of micromirrors, each of which is micromirror. Representing a pixel, the projected layered image is composed of these pixels. The DMD chip can be simply described as a semiconductor optical switch and microlens corresponding to a pixel, the controller allowing or disabling the reflected light of each microchip by controlling each optical switch in the DMD chip, thereby passing the corresponding layered image through the container The transparent bottom is irradiated onto the photocurable material such that the material corresponding to the image shape is cured and a patterned cured layer is obtained.

In still other embodiments, the energy radiation system includes a radiation system based on energy beam scanning. Here, the energy radiation system includes a beam emitter, a beam transmitting mirror group, a galvanometer group, a controller, and the like. Wherein, the beam emitter is exemplified by a laser emitter. The beam emitter adjusts the energy of the output beam based on the material used and the received layer height data. For example, the beam emitter is controlled to emit a beam of predetermined power and to stop emitting a corresponding beam. As another example, the beam emitter is controlled to increase the power of the beam and reduce the power of the beam. The lens group is used to adjust the focus position of the laser beam so that the spot size radiated onto the material can be controlled in a controlled manner. The galvanometer group is configured to control the scanning of the light beam in a two-dimensional space of the transparent bottom surface, and the material scanned by the light beam is solidified into a corresponding solidified layer.

The component platform is for cumulatively attaching the cured layer. The component platform includes a component plate and a connecting component that is coupled to the Z-axis drive mechanism. The component platform generally accumulates the solidified layers solidified on the bottom surface of the container with a transparent bottom surface as a starting position to obtain a corresponding three-dimensional object.

The Z-axis drive mechanism is coupled to the component platform for adjusting a spacing between the component platform and a bottom surface of the molding chamber. Here, the Z-axis driving mechanism includes a driving unit and a vertical moving unit, and the driving unit is configured to drive the vertical moving unit such that the vertical moving unit drives the member platform to move up and down. For example, the drive unit is a drive motor. The drive unit is controlled by a control command. The control command includes: a directional command for indicating the rise, fall, or stop of the component platform, and may even include parameters such as a speed/speed acceleration, or a torque/torque force. This is advantageous for accurately controlling the rising distance of the vertical moving unit to achieve precise adjustment of the Z-axis. Here, the vertical moving unit includes, for example, a fixing rod fixed to the member platform at one end, and a snap-type moving assembly fixed to the other end of the fixing rod, wherein the snap-on moving assembly is driven by the driving unit to drive The fixed rod is vertically moved, and the snap-on moving assembly is exemplified by a limit moving component that is engaged by a tooth structure, such as a rack or the like. For another example, the vertical moving unit includes: a screw rod and a positioning moving structure screwing the screw rod, wherein both ends of the screw rod are screwed to the driving unit, and the extension end of the positioning moving structure is fixedly connected to On the component platform, the positioning movement structure may include a nut-shaped structure of the ball and the clamp.

The camera in the detection system can be positioned at a position below the transparent bottom before leaving the factory. The detection means in the detection system can be integrated with the control device or configured separately.

The control device is coupled to the Z-axis drive mechanism and the energy radiation system for controlling the Z-axis drive mechanism and the energy radiation system based on the detection result of the detection system.

For example, the control device and the detection device share one or more processors, memory, and the like for performing mathematical, data, and logic operations, and share data interfaces with the camera and the Z-axis drive mechanism and the energy radiation system. The control interface, the control device and the detecting device transmit the detection result through the program interface, the program in the detecting device monitors and acquires the detection image provided by the data interface, and outputs a corresponding control command to the control interface by using the program in the control device. The control command includes, but is not limited to, outputting the next data for describing the slice pattern (such as layered image, or scan vector data, etc.), controlling commands for driving the motor, and controlling the Z-axis drive mechanism and energy. The radiation system stops, starts, pauses, etc.

In some specific examples, when the detecting system detects a falling event, the control device outputs a pause command to the Z-axis driving mechanism and the energy radiation system based on the received detection result, so that the technician can clean the lost product. .

In still another specific example, when printing a plurality of three-dimensional objects, the control device adjusts a subsequent printing policy and controls the Z according to the adjusted printing policy when it is determined that there is an abnormality in the manufactured three-dimensional object based on the detection result. Shaft drive mechanism and / or energy radiation system.

Here, the detection result includes the detected position of the defective three-dimensional object, and the control device adjusts data for outputting the slice pattern of the corresponding product to the energy radiation system based on the determined position. For example, data of a subsequent slice pattern corresponding to a defective three-dimensional object is not output to the energy radiation system. For another example, the layer heights of the corresponding 3D component models are not considered when controlling the movement of the Z-axis drive mechanism. In this way, the normal printing of the remaining three-dimensional objects can be ensured, and the meaningless curing operation of the dropped parts can be avoided.

Please refer to FIG. 3, which shows a flow chart of the detection method in one embodiment. The detection method may be performed using the above detection system or other detection system capable of performing the detection method. The detecting method is for detecting a manufacturing process of a 3D printing device, wherein the 3D printing device may be a 3D printing device with a bottom exposure. The detecting method detects whether a missing or broken event occurs in the manufactured three-dimensional object by detecting a peeling operation in the manufacturing process.

Wherein, the 3D printing apparatus for bottom surface exposure comprises: a molding chamber, an energy radiation system and a component platform located on a bottom surface of the molding chamber, wherein the component platform is cumulatively attached to the molding chamber and is selectively selected by the energy radiation system Cured cured layer. The energy radiation system radiates energy to the bottom surface of the molding chamber such that the material within the illuminated range of the bottom surface of the molding chamber is cured into a solidified layer that is cumulatively attached to the component platform. When the component platform is peeled off from the bottom surface of the molding chamber by the Z-axis driving mechanism, the upward pulling force of the Z-axis driving mechanism and the adhesion of the solidified layer to the bottom surface of the molding chamber when being peeled off are attached. Some may have a missing or broken event. In order to detect the event and determine the defective problem of the manufactured three-dimensional object in time, the detection method comprises the following steps:

In step S110, after the component platform drives the cumulative adhesion curing layer to be peeled off from the bottom surface of the molding chamber, an image of the molding chamber is imaged to obtain a detection image.

Here, the detection system can be connected to the control device of the 3D printing device through a data line or a program interface to acquire a control command of the control device, and determine, based on the control command, that the component platform drives the cumulative adhesion solidified layer to be peeled off from the bottom surface of the molding chamber. Operation. For example, the control device simultaneously transmits control commands to the Z-axis drive mechanism and the detection system. As another example, the control device simultaneously transmits the same control command to the photographing device and the detection system. The control device may also separately transmit certain control commands to the detection system, and the detection system controls the camera to perform photographing based on the control commands.

The detecting system may further acquire the detection image at any time during the operation of the 3D printing device, and determine the detection after the corresponding stripping operation by using the image data captured in the detected image in combination with the performed operation of the corresponding moment of the 3D printing device. image.

In some embodiments, the photographing device in the detection system can be controlled by the control device in the 3D printing device. Wherein, the control device is connectable with the Z-axis drive mechanism and the energy radiation system for cooperatively controlling the Z-axis drive mechanism and the energy radiation system to perform a layer-by-layer curing operation. When the control device controls the Z-axis drive mechanism to move upward during the upward movement, a photographing instruction is issued to the photographing device, and the photographing device photographs the detected image in the molding chamber after the peeling operation. For example, the control device issues a photographing instruction to the photographing device upon detecting completion of the peeling operation. For another example, when the control device controls the Z-axis drive mechanism to move to the highest point, a photographing instruction is issued to the photographing device. For another example, when the control device controls the movement of the Z-axis driving mechanism such that the gap between the lower bottom surface of the upper solidified layer and the bottom surface of the molding chamber is higher than the solidified layer to be solidified, a photographing instruction is issued to the photographing device.

In other embodiments, the photographing device is only controlled by the detecting device in the detecting system, and the photographing device drives the cumulative adhesion curing layer to peel off from the bottom surface of the molding chamber on the component platform based on the photographing instruction of the detecting device. After shooting the detection image. In a specific example, the detecting device acquires a control instruction of the control device to the Z-axis driving mechanism or the energy radiation system, and can issue a photographing instruction to the photographing device according to the control command. For example, the detecting device issues a photographing instruction to the photographing device after receiving a delay of the upward movement control command. The delay is limited to the time interval from the completion of the stripping operation to the next energy irradiation.

In step S120, a process of manufacturing the three-dimensional object by the 3D printing apparatus is detected by analyzing the detected image.

Here, the detecting device can determine the 3D printing device by analyzing a contour shape, even a contour definition, etc. in a detected image taken after the component platform drives the cumulative adhesion solidified layer to be peeled off from the bottom surface of the molding chamber. Whether the manufactured three-dimensional object has a missing or broken event.

In another embodiment, the detecting means determines the detection area by recognizing the contour of the bottom surface of the molding chamber in the detection image, in which the pattern located at the gap between the bottom surface of the molding chamber and the solidified layer is detected, and whether or not the occurrence occurs based on the detection result Drop or broken event. In order to facilitate the determination of the contour of the bottom surface of the molding chamber, marking information may be provided in a region that is not radiated from the bottom surface of the molding chamber. For example, a calibration mark on the bottom surface of the molding chamber or a mark point on the bottom edge of the molding chamber. The detecting means determines the detection area in the detection image by detecting the mark information, and detects a pattern located at a gap between the bottom surface of the molding chamber and the solidified layer in the detection area, and determines whether a drop or a break event occurs based on the detection result. If it is detected that the detection feature includes the contour feature, it is determined that a falling or broken event occurs, and vice versa, it is determined that the corresponding event does not occur, and waits for detecting the detected image after the next peeling operation. Alternatively, if the detecting device detects that the pattern ambiguity in the detection area falls within the preset alarm threshold range, it is determined that a falling or broken event occurs, and vice versa, it is determined that the corresponding event does not occur, and waits for detecting the next peeling operation. Detection image.

The detecting method determines whether the peeling operation causes a drop or a broken event by taking a detected image after performing the peeling operation on the 3D printing apparatus and detecting whether the detected image has a residual pattern. Thus, there is no need to modify the critical parts of the 3D printing device to enable real-time detection of missing or broken events during manufacture of the three-dimensional object. The detecting method further includes the step of prompting the detection information when the occurrence of the event is detected.

When the event is detected, a prompt message is displayed on the display device on the 3D printing device or other data connection to the detection system. Or, when the event is detected, the corresponding prompt message is sent to the smart terminal by using a short message or a network, and the smart terminal can prompt by using a short message tone or a message window. Or, when the event is detected, the corresponding prompt message is emailed to the mailbox server and the mailbox configuration terminal.

It should be noted that the detection method can not only obtain whether the above event occurs by analyzing the detected image, but also locate a defective three-dimensional object when determining that the manufactured three-dimensional object is defective based on the detection result.

The detection system installed on the 3D printing device can also detect whether the energy radiation system is abnormal or whether the energy radiated meets the layer height requirement. For example, whether the cured cured layer profile is broken or distorted or the like. This may be caused by a decrease in the energy radiated by the energy radiation system, an uneven energy distribution, or a deviation of the energy center due to long-term uncalibrated. For example, the energy radiation system includes a surface exposure-based projection device, and when the layered image projected by the projection device is missing or the energy distribution is uneven and the cured layer is missing, the contour of the corresponding cured layer is broken. As another example, the energy radiant system includes a scanning-based beam emitter that exhibits contour distortion at the solidified position in the corresponding cured layer when the angle of inclination of the beam emitter is too large to cause the spot to over-deform.

Therefore, it is necessary to detect the cross section of the three-dimensional object formed by the entire solidified layer. For a 3D printing device with a bottom exposure, in order to detect the full profile of the cured layer, the imaging device in the detection system is located below the bottom surface of the molding chamber. For example, located in close proximity to the energy radiation system in the 3D printing device. As another example, it is located at a predetermined interval from the energy radiation system.

In some embodiments, as shown in FIG. 2, the photographing device 21 is configured to photograph the molding chamber when the accumulated solidified layer on the component platform 12 is close to or located on the printing reference surface in the molding chamber. The image within 11 is used to obtain a detected image. Wherein, for the 3D printing device with the bottom surface exposure, the printing reference surface is the bottom surface of the molding chamber.

Similar to the manner of detecting the missing member, in some specific examples, the photographing device can be controlled by the control device in the 3D printing device. Wherein, the control device is connectable with the Z-axis drive mechanism and the energy radiation system for cooperatively controlling the Z-axis drive mechanism and the energy radiation system to perform a layer-by-layer curing operation. When the control device controls the energy radiant system to obtain a solidified layer and has not controlled the Z-axis drive mechanism for peeling, or when the control device controls the Z-axis drive mechanism to move the component platform toward the bottom surface of the molding chamber to be spaced apart from the bottom surface of the molding chamber by a solid layer interval, A photographing instruction is issued to the photographing device, and the photographing device captures an image in the molding chamber to obtain a detected image. For example, the control device issues a photographing instruction to the photographing device upon detecting that the data radiation of the slice pattern is completed. For another example, when the control device controls the Z-axis drive mechanism to move to a solidified layer distance from the bottom surface of the molding chamber, a photographing instruction is issued to the photographing device.

It should be noted that the timing of issuing the above-mentioned photographing instruction is merely an example and not a limitation of the present application. In fact, the purpose of issuing the photographing command is to control the photographing device to provide an image containing the contour of the solidified layer that has been solidified closest to the bottom surface of the molding chamber and provide it to the detecting device.

In still other specific examples, the photographing device is controlled only by the detecting device in the detecting system, and the photographing device takes a detected image based on the photographing instruction of the detecting device. In a specific example, the detecting device acquires a control instruction of the control device to the Z-axis driving mechanism and the energy radiation system, and can issue a photographing instruction to the photographing device according to the control command. For example, the detecting device issues a photographing instruction to the photographing device upon receiving a control command to end the energy radiation of the control device. For another example, the detecting device sends a photographing instruction to the photographing device upon receiving a control command for ending the vertical movement of the control device or after a short delay, and acquires a corresponding detected image.

As shown in FIG. 2, the detecting means 22 is for detecting a process of manufacturing a three-dimensional object by the 3D printing apparatus by analyzing the detected image. Wherein, the detecting device 22 can read data describing each slice pattern in the 3D component model stored in the 3D printing device through a data line or a program interface, and the energy radiation system 14 accumulates 3D by radiating data of each slice pattern one by one. The component model is a corresponding three-dimensional object. Wherein, the data is exemplified by pixel data of a layered image or vector data for indicating energy beam scanning.

Here, the detecting device acquires data of a slice pattern corresponding to the detected solidified layer contour of the 3D printing device in advance, and extracts the contour A drawn by the data of the obtained slice pattern and the corresponding three-dimensional object in the captured detected image. The contour B of the cross-sectional pattern (i.e., the cured layer pattern) was evaluated for the degree of conformity. Wherein, the evaluation of the degree of coincidence includes, but is not limited to, whether the maximum deviation value of the contour A and the contour B, or the average deviation value falls within the corresponding error tolerance range, and the features of the contour A and the contour B (such as an inflection point, a corner point, and an arc) Whether the magnitude value, positional deviation, etc. of the line, etc., fall within the corresponding tolerance tolerance range. If the obtained detection result is that the two contours match, the next detection image and the corresponding slice pattern are continuously received; otherwise, the three-dimensional object abnormality manufactured by the 3D printing device is detected. Taking FIG. 2 as an example and pushing it to other detection systems similar to 3D printing devices, the positional relationship between the energy radiation system and the imaging device in the actual physical space affects the degree of conformance cannot be ignored due to the above positional relationship. error. Thus, in some embodiments, the detection means in the detection system need to correct the contour B or contour A in the received detected image to eliminate the above error. The detecting device then performs the evaluation of the degree of coincidence based on the two contours after the correction.

In other embodiments, the detection system further includes a calibration mark disposed on a bottom surface of the molding chamber. The calibration mark is located outside of the range radiated by the energy radiation system. The calibration mark is exemplified by a dot shape, a block mark, and is attached to the bottom surface of the molding chamber. The calibration mark is included in the detection image captured by the imaging device. The detecting device is further configured to correct the detected image based on the calibration mark. For example, a positional relationship between the shape of the calibration mark and the plurality of calibration marks is preliminarily provided, and the detecting means corrects the entire detected image by recognizing the calibration mark and by correcting the positional relationship between the calibration marks in the detected image. Further, based on the contour of the cross-sectional pattern extracted in the corrected detection image, the degree of conformity of the contour of the slice pattern corresponding to the cured layer is evaluated.

In order to identify the cross-sectional pattern from the detected image more quickly, the detecting means focuses on detecting the area of the detected image corresponding to the bottom surface of the molding chamber.

In one embodiment, the detecting device detects a region in the detected image according to a preset printing reference plane, acquires a cross-sectional pattern in the detected region, and performs a similarity evaluation. Wherein, the photographing device can be positioned at a mounting position on the 3D printing device before leaving the factory, and correspondingly, the printing reference plane range can be obtained and saved in the detecting device to correspond to an area in the image. For example, the detecting device may only correct the region of the corresponding printing reference plane range preset in the detected image, and then extract and conform the contour in the corrected region, and determine the manufactured three-dimensional according to the obtained degree of coincidence. If the object is not abnormal, it waits to receive the next detected image when the new solidified layer is close to or located on the printing reference plane, and vice versa to determine the manufactured three-dimensional object abnormality.

In another embodiment, the detecting means may determine the detection area in the detection image by using the calibration mark of the printing reference surface, and detect the cross-sectional pattern in the detection area, and determine whether the manufactured three-dimensional object is abnormal based on the detection result. For example, the detecting device only corrects and detects the contour of the cross-sectional pattern in the area enclosed by the calibration mark in the detected image, and if it is determined that the manufactured three-dimensional object has no abnormality according to the obtained degree of coincidence, it waits for the next time to receive the new one. The detected image taken when the cured layer is close to or located on the bottom surface of the molding chamber, and vice versa, determines the abnormality of the manufactured three-dimensional object.

In order to reduce the interference of the external environment on the detection result, for example, the change of the intensity of the external ambient light during the shooting, the occlusion of the human figure, etc. may affect the accuracy of detecting the abnormality by the detecting device. The detection system also includes a light environment providing device disposed about the energy radiation system for providing a stable light environment during the photographing of the camera. The light environment providing device can be externally placed on the 3D printing device. For example, the light environment providing device may provide an optical environment for the photographing device using an external light source such as an LED light.

The detecting system determines the radiation of the energy radiation system by taking a detection image when the accumulated solidified layer on the component platform is close to or located on the printing reference surface in the molding chamber, and detecting the degree of conformity of the detected image. Whether the operation causes the manufactured three-dimensional object to be abnormal. Thereby, it is not necessary to modify the key parts of the 3D printing apparatus, and it is possible to realize real-time detection of the manufactured object during the manufacture of the three-dimensional object.

The detection system further includes a prompting device coupled to the detection device data for prompting the detection information. For example, the prompting device can be a display device on a 3D printing device. When the detecting device detects the abnormality, a prompt message is displayed on the display device. As another example, the prompting device can be a smart terminal of a technician. When the detecting device detects the abnormality, the corresponding prompt message is sent to the corresponding smart terminal by using a short message or a network, and the smart terminal may prompt by using a short message tone or a message window. For another example, the prompting device may be a technician's email server and a mailbox configuration terminal. When the detecting device detects the abnormality, the corresponding prompt message is sent by email to the mailbox server and the mailbox configuration terminal.

It should be noted that the detecting device can not only obtain whether the abnormality occurs by analyzing the detected image, but also locate the corresponding three-dimensional object when determining that the manufactured three-dimensional object is abnormal based on the detection result.

In some embodiments, when the 3D printing device simultaneously manufactures the plurality of three-dimensional objects, when determining the three-dimensional object abnormality therein based on the detection result, the detecting device may according to the position of the contour of the abnormal portion in the object corresponding to each cross section, Determine the corresponding anomalous three-dimensional object. For example, the detecting means determines the position of the three-dimensional object in which the abnormality has occurred by detecting the arrangement position of each contour in the detected image.

In still other embodiments, the detecting device may utilize a correspondence between a preset image pixel and an actual printing reference plane unit size, and an abnormal contour may be used when printing a position in the reference plane region in the detected image. The correspondence converts the abnormal position in the detected image to the actual position of the abnormal three-dimensional object manufactured by the 3D printing apparatus.

The detecting device can provide the located defective or distorted three-dimensional object as a detection result to a technician and/or a 3D printing device. Alternatively, when the detecting device is connected to the control device of the 3D printing device, the detecting device may also provide the disabled or distorted three-dimensional object to the control device. When the detecting device provides the detection result to the technician, the technician can obtain the abnormal three-dimensional object and the corresponding position in time. When the detecting means supplies the detection result to the control means of the 3D printing apparatus, the control means may adjust the printing policy based on the detection result. For example, when the 3D printing apparatus manufactures a plurality of three-dimensional objects, it is possible to adjust to continue printing the remaining three-dimensional objects or to suspend printing by using the determined position of the abnormal object.

The above-described detection system for performing a three-dimensional object manufacturing process using a detected image taken when a solidified layer attached to the component platform is attached to or located in a printing reference surface in the molding chamber, may be used alone or in combination with the aforementioned missing component detecting system It is also configured in a 3D printing device. The 3D printing device can still be as shown in FIG. 2, and therefore, details are not described herein again.

Wherein, the photographing device 21 in any of the above detection systems can be positioned at the position of the print reference plane before leaving the factory. The detection device 22 in the detection system can be integrated with the control device 15 or configured separately.

The control device 15 is coupled to the Z-axis drive mechanism 13 and the energy radiation system 14 for controlling the Z-axis drive mechanism 13 and the energy radiation system 14 based on the detection results of the detection system.

In some specific examples, when the detection system detects that the latest cross-sectional profile is missing or distorted, the control device outputs a pause command to the Z-axis drive mechanism and the energy radiation system based on the received detection result for the technician to The corresponding product is cleaned up.

In still another specific example, when simultaneously printing a plurality of three-dimensional objects, the control device adjusts a subsequent printing policy and controls the according to the adjusted printing policy when it is determined that there is an abnormality in the manufactured three-dimensional object based on the detection result. Z-axis drive mechanism and / or energy radiation system.

Here, the detection result includes the detected position of the defective three-dimensional object, and the control device adjusts data for outputting the slice pattern of the corresponding product to the energy radiation system based on the determined position. For example, data of a subsequent slice pattern corresponding to a defective three-dimensional object is not output to the energy radiation system. For another example, the layer heights of the corresponding 3D component models are not considered when controlling the movement of the Z-axis drive mechanism. In this way, the normal printing of the remaining three-dimensional objects can be ensured, and the meaningless curing operation of the three-dimensional objects that have abnormalities can be avoided.

The detection system described above can also be applied to a top exposed 3D printing device. The difference from the aforementioned detection system is that, as shown in FIG. 7, the photographing device 41 in the detecting system is located at a photographing position above the molding chamber 31 and faces the surface of the material held in the molding chamber 31. In order to reduce the delay caused by the photographing of the photographing device 41, the photographing device 41 performs at least one photographing to obtain at least one detected image during the flattening operation of the scraper device 36. Wherein, the starting time during the smoothing operation of the scraper device can be traced back to the last selective curing end time, and the end time during the smoothing operation of the scraper device can be extended to the current layer selective curing start time. The photographing device 41 can take at least one detected image at any time during the above period. For example, when the blade unit 36 is moved from the side of the molding chamber 31 to the central portion of the molding chamber 31, the photographing device 41 takes a detected image. For another example, after the blade unit 36 is moved from one side of the molding chamber 31 to the other side of the molding chamber 31, the photographing device 41 takes a detected image.

Here, the detecting device 42 monitors the movement command sent by the control device 35 to the blade device 36, or monitors signals such as a sensing signal, a moving position signal generated during the movement of the blade device 36, and monitors the blade device 36. During the smoothing operation of the printing reference plane, the photographing device 41 is controlled to take at least one detected image to acquire a detected image including the newly cured cured layer pattern, and to detect the detected image to detect the 3D printing device to manufacture a three-dimensional object . The manner in which the detecting device 42 detects the detected image may be similar to the detecting manner of the 3D printing device based on the bottom surface exposure, and will not be described in detail herein.

In other specific examples, for a top-exposure 3D printing device, when the energy radiated by the energy radiant system 34 is insufficient or unevenly distributed, it may cause the cured all or part of the cured layer to fail to adhere to the previous one. On the solidified layer, as the doctor apparatus moves, the portion of the unattached solidified layer will drift as the doctor apparatus moves. Therefore, the detecting means 42 detects the position of the cross section of the three-dimensional object in each detected image to determine whether the manufactured three-dimensional object is abnormal. Here, the detecting device 42 detects whether the solidified three-dimensional object portion is abnormal according to the spatial position of the patterned solidified layer or according to the spatial position of the patterned solidified layer according to the time series, and determines when the spatial position of the detected patterned solidified layer changes. The manufactured three-dimensional object is abnormal, and vice versa, the detection is continued until the three-dimensional object is printed.

For example, the detecting device 42 detects whether there is a change in the region where the pattern solidified layer is located in the adjacent detected image taken during the smoothing of the doctor blade device, and if so, determines that the manufactured three-dimensional object is a defective three-dimensional object and instructs the control of the 3D printing device. The device stops printing and performs an automatic alarm (such as sending an alarm message), and vice versa.

For another example, the detecting device 42 detects the position of the pattern solidified layer in the area where the pattern solidified layer is located and the actual physical space in each detected image by using the correspondence between the preset physical space coordinates and the pixel point coordinates of the image. Whether the areas are consistent, if not, determining that the manufactured three-dimensional object is a defective three-dimensional object, and instructing the control device 35 of the 3D printing device to stop printing, and performing an automatic alarm (such as an operation of transmitting an alarm message), and vice versa.

When the 3D printing device simultaneously prints a plurality of three-dimensional objects, the detecting device 42 can also determine the position of the ornaments of the defective three-dimensional object by using the detection manners of the above examples, and control the control device 35 of the 3D printing device to stop printing the corresponding defective three-dimensional objects. . For example, when the detecting device 42 determines the manufactured three-dimensional object abnormality by any of the above methods, the detecting device 42 determines the defect by matching the contour of the patterned solidified layer of the defective three-dimensional object in the captured image with each slice pattern of the corresponding layer. The position of the three-dimensional object, thereby instructing the control device 35 to stop printing the defective three-dimensional object. For another example, when the detecting device 42 determines the manufactured three-dimensional object abnormality by using any one of the above manners, the detecting device 42 determines the decoration of the defective three-dimensional object by using the correspondence between the preset physical space coordinates and the pixel point coordinates of the image. The position, thereby instructing the control device 35 to stop printing the defective three-dimensional object.

Similar to the aforementioned detection system, the detection system of the 3D printing apparatus applied to the top exposure may further include a calibration mark, a light environment providing device, a prompting device, and the like. The function and structure of each device are similar or similar to those described above and will not be described in detail herein. In contrast to the aforementioned detection system, the calibration mark is located within the field of view between the print reference plane and the camera for use in the calibration of the detection device. For example, the calibration mark is located at the outer edge of the opening on the molding chamber or the like.

Please refer to FIG. 4, which is a flowchart of a detection method in still another embodiment. The detecting method is for detecting a manufacturing process of a 3D printing device, wherein the 3D printing device may be a 3D printing device with a bottom exposure. The detecting method may take a detection image when the accumulated solidified layer on the component platform is close to or located on the printing reference surface in the molding chamber, and detect whether the currently manufactured three-dimensional object is detected by analyzing the captured detection image. An exception occurs. Wherein, the detection method may be performed by the above detection system or by other detection systems capable of performing the following steps.

Wherein, the 3D printing apparatus for bottom surface exposure comprises: a molding chamber, an energy radiation system and a component platform located on a bottom surface of the molding chamber, wherein the component platform is cumulatively attached to the molding chamber and is selectively selected by the energy radiation system Cured cured layer. The energy radiation system radiates energy to the bottom surface of the molding chamber such that the material within the illuminated range of the bottom surface of the molding chamber is cured into a solidified layer that is cumulatively attached to the component platform. When the energy radiating system is abnormal due to a decrease in output power, long-term use misalignment, uneven energy radiation distribution, etc., the solidified layer being cured is abnormal, and a certain section or a plurality of cross-sections of the manufactured three-dimensional object are missing or distortion. In order to detect the above abnormality, the detection method includes the following steps:

In step S210, when the accumulated solid layer accumulated on the member platform is close to or located on the printing reference surface in the molding chamber, an image of the molding chamber is photographed to obtain a detection image.

Here, the detection image is acquired by the imaging device. The photographing device can be controlled by a control device in the 3D printing device to take a picture. Wherein, the control device is connectable to the Z-axis drive mechanism and the energy radiation system for cooperatively controlling the Z-axis drive mechanism and the energy radiation system to perform a layer-by-layer curing operation. When the control device controls the energy radiant system to obtain a solidified layer and has not controlled the Z-axis drive mechanism for peeling, or when the control device controls the Z-axis drive mechanism to move the component platform toward the bottom surface of the molding chamber to be spaced apart from the bottom surface of the molding chamber by a solid layer interval, A photographing instruction is issued to the photographing device, and the photographing device captures an image in the molding chamber to obtain a detected image. For example, the control device issues a photographing instruction to the photographing device upon detecting that the data radiation of the slice pattern is completed. For another example, when the control device controls the Z-axis drive mechanism to move to a solidified layer distance from the bottom surface of the molding chamber, a photographing instruction is issued to the photographing device.

It should be noted that the timing of issuing the above-mentioned photographing instruction is merely an example and not a limitation of the present application. In fact, the purpose of issuing the photographing command is to control the photographing device to provide an image containing the contour of the solidified layer that has been cured closest to the printing reference surface and provide it to the detecting device.

In other embodiments, the photographing device is only controlled by the detecting device in the detecting system, and the photographing device takes a detected image based on the photographing instruction of the detecting device. In a specific example, the detecting device acquires a control instruction of the control device to the Z-axis driving mechanism and the energy radiation system, and can issue a photographing instruction to the photographing device according to the control command. For example, the detecting device issues a photographing instruction to the photographing device upon receiving a control command to end the energy radiation of the control device. For another example, the detecting device sends a photographing instruction to the photographing device upon receiving a control command for ending the vertical movement of the control device or after a short delay, and acquires a corresponding detected image.

In step S220, a process of manufacturing the three-dimensional object by the 3D printing apparatus is detected by analyzing the detected image. Among them, it can be performed by using a detecting device in the detecting system. The detecting device can read data describing each slice pattern in the 3D component model stored in the 3D printing device through a data line or a program interface, and the energy radiation system can accumulate the 3D component model by radiating data of each slice pattern one by one. Three-dimensional object. Wherein, the data is exemplified by pixel data of a layered image or vector data for indicating energy beam scanning.

Here, the detecting device acquires data of a slice pattern corresponding to the detected solidified layer contour of the 3D printing device in advance, and extracts the contour A drawn by the data of the obtained slice pattern and the corresponding three-dimensional object in the captured detected image. The contour B of the cross-sectional pattern (i.e., the cured layer pattern) was evaluated for the degree of conformity. Wherein, the evaluation of the degree of coincidence includes, but is not limited to, whether the maximum deviation value of the contour A and the contour B, or the average deviation value falls within the corresponding error tolerance range, and the features of the contour A and the contour B (such as an inflection point, a corner point, and an arc) Whether the magnitude value, positional deviation, etc. of the line, etc., fall within the corresponding tolerance tolerance range. If the obtained detection result is that the two contours match, the next detection image and the corresponding slice pattern are continuously received; otherwise, the three-dimensional object abnormality manufactured by the 3D printing device is detected.

In some embodiments, the error caused by the positional relationship cannot be ignored in the evaluation of the degree of conformance affected by the positional relationship of the energy radiation system and the imaging device in the actual physical space. Therefore, it is necessary to correct the contour B or the contour A in the received detected image to eliminate the above error. The detecting device then evaluates the degree of conformance based on the corrected two contours.

In other embodiments, the calibration mark is included in the captured image being captured. Wherein the calibration mark is placed on the bottom surface of the molding chamber. The calibration mark is located outside of the range radiated by the energy radiation system. The calibration mark is exemplified by a dot shape, a block mark, and is attached to the bottom surface of the molding chamber. The detecting method further includes the step of correcting the detected image based on the calibration mark. For example, a positional relationship between the shape of the calibration mark and the plurality of calibration marks is preliminarily provided, and the detecting means corrects the entire detected image by recognizing the calibration mark and by correcting the positional relationship between the calibration marks in the detected image. Further, based on the contour of the cross-sectional pattern extracted in the corrected detection image, the degree of conformity of the contour of the slice pattern corresponding to the cured layer is evaluated.

In one embodiment, the detecting device detects a region in the detected image according to a preset bottom surface of the molding chamber, acquires a cross-sectional pattern in the detection region, and performs a similarity evaluation. Wherein, the photographing device can be positioned at a mounting position on the 3D printing device before leaving the factory, and correspondingly, the detecting device can pre-acquire and save the region of the bottom surface of the molding chamber corresponding to the image in the image. For example, the detecting device may only correct the region of the detected image in the range corresponding to the bottom surface of the molding chamber, and then extract and conform the contour in the corrected region, and determine the manufactured three-dimensional according to the obtained degree of coincidence. If the object is not abnormal, it waits for the next detected image when the new solidified layer is close to or located on the bottom surface of the molding chamber, and vice versa to determine the abnormality of the manufactured three-dimensional object.

In another embodiment, the detecting device may determine the detection area in the detection image by using the calibration mark on the bottom surface of the molding chamber, and detect the cross-sectional pattern in the detection area, and determine whether the manufactured three-dimensional object is abnormal based on the detection result. For example, the detecting device only corrects and detects the contour of the cross-sectional pattern in the area enclosed by the calibration mark in the detected image, and if it is determined that the manufactured three-dimensional object has no abnormality according to the obtained degree of coincidence, it waits for the next time to receive the new one. The detected image taken when the cured layer is close to or located on the bottom surface of the molding chamber, and vice versa, determines the abnormality of the manufactured three-dimensional object.

The detecting method determines the radiation of the energy radiation system by taking a detection image when the accumulated solidified layer on the component platform is close to or located on the printing reference surface in the molding chamber, and detecting the degree of conformity of the detected image. Whether the operation causes the manufactured three-dimensional object to be abnormal. Thereby, it is not necessary to modify the key parts of the 3D printing apparatus, and it is possible to realize real-time detection of the manufactured object during the manufacture of the three-dimensional object.

The detecting method further includes the step of prompting the detection information. For example, when the abnormality is detected, a prompt message is displayed on the display device. For another example, when the abnormality is detected, the corresponding prompt message is sent to the corresponding smart terminal by using a short message or a network, and the smart terminal can prompt by using a short message sound or a message window. For another example, when the abnormality is detected, the corresponding prompt message is sent by e-mail to the mailbox server and the mailbox configuration terminal.

It should be noted that the detecting method can not only obtain whether the abnormality occurs by analyzing the detected image, but also includes the step of positioning the corresponding three-dimensional object when determining the abnormality of the manufactured three-dimensional object based on the detection result.

In still other embodiments, the detecting device may utilize a correspondence between a preset image pixel and an actual transparent bottom surface unit size, and an abnormal contour may be used to detect a position in a transparent bottom surface region of the image. The abnormal position in the detected image is converted to the actual position of the abnormal three-dimensional object manufactured by the 3D printing apparatus.

The detection method described above can also be applied to a detection system of a top exposed 3D printing device. The difference from the aforementioned detection system is that, as shown in FIG. 7, the photographing device 34 in the detecting system is located at a photographing position above the molding chamber 31 and faces the surface of the material held in the molding chamber 31. In order to reduce the delay caused by the photographing by the photographing device 34, the step S210 in the detecting method further includes performing at least one photographing to obtain at least one detected image during the flattening operation of the scraper device 36. Here, the detecting device 42 monitors the movement command sent by the control device 35 to the blade device 36, or monitors signals such as a sensing signal, a moving position signal generated during the movement of the blade device 36, and monitors the blade device 36. During the smoothing operation of the printing reference plane, the photographing device 41 is controlled to take at least one detected image to acquire a detected image including the newly cured cured layer pattern, and to detect the detected image to detect the 3D printing device to manufacture a three-dimensional object the process of. The manner of detecting the cured layer contour and the slice pattern of the image is similar to that of the foregoing 3D printing device based on the bottom exposure, and will not be described in detail herein.

In other specific examples, for the top exposed 3D printing device, when the energy radiated by the energy radiant system 34 is insufficient or unevenly distributed, it may cause the cured all or part of the cured layer to fail to adhere to the previous curing. On the layer, as the doctor apparatus 36 moves, the portion of the unattached solidified layer will drift as the doctor apparatus 36 moves. Therefore, the detecting method further includes a step S230 of detecting a position of a cross section of the three-dimensional object in each of the detected images to determine whether the manufactured three-dimensional object is abnormal. Here, the detecting device 42 detects whether the solidified three-dimensional object portion is abnormal according to the spatial position of the patterned solidified layer or according to the spatial position of the patterned solidified layer according to the time series, and determines when the spatial position of the detected patterned solidified layer changes. The manufactured three-dimensional object is abnormal, and vice versa, the detection is continued until the three-dimensional object is printed.

For example, the detecting device 42 detects whether there is a change in the area where the pattern solidified layer is present in the adjacent detected image taken during the flattening of the doctor device 36, and if so, determines that the manufactured three-dimensional object is a defective three-dimensional object and instructs the 3D printing device The control device 35 stops printing, and vice versa.

For another example, the detecting device 42 detects the position of the pattern solidified layer in the area where the pattern solidified layer is located and the actual physical space in each detected image by using the correspondence between the preset physical space coordinates and the pixel point coordinates of the image. Whether the areas are consistent, and if not, it is determined that the manufactured three-dimensional object is a defective three-dimensional object, and the control device 35 of the 3D printing apparatus is instructed to stop printing, and vice versa.

When the 3D printing device simultaneously prints a plurality of three-dimensional objects, the detecting device 42 can also determine the position of the ornaments of the defective three-dimensional object by using the detection manners of the above examples, and control the control device 35 of the 3D printing device to stop printing the corresponding defective three-dimensional objects. . For example, when the detecting device 42 determines the manufactured three-dimensional object abnormality by any of the above manners, the detecting device determines the missing three-dimensional shape by matching the contour of the patterned solidified layer of the missing three-dimensional object in the captured image with each slice pattern of the corresponding layer. The position of the object's ornaments, thereby instructing the control device 35 to stop printing the defective three-dimensional object. For another example, when the detecting device 42 determines the manufactured three-dimensional object abnormality by using any one of the above manners, the detecting device 42 determines the decoration of the defective three-dimensional object by using the correspondence between the preset physical space coordinates and the pixel point coordinates of the image. The position, thereby instructing the control device 35 to stop printing the defective three-dimensional object.

Using the structure of the detection system shown in Figure 2, the present application also provides a detection system for detecting an energy radiation system. The imaging device 21 in the detection system is configured to capture the projected image to obtain a detection image during the projection of the image by the energy radiation system 14 to the molding chamber. Detection device 22 is operative to detect the energy of said energy radiation system 14 by analyzing said detected image. Here, the 3D printing device detected by the detection system is typically placed in a fixed, viewable ambient light. To this end, the detection system can determine the energy radiated by the energy radiation system by analyzing the image. In some embodiments, in order to ensure that the detection system has stable ambient light during the automatic detection, the gray scale of the image detected by the previous detection system is not affected by the ambient light change. Here, the detection system further includes a light environment providing device disposed around the energy radiation system for providing a stable light environment during the photographing of the photographing device. The light environment providing device can be externally placed on a 3D printing device. For example, the light environment providing device may provide an optical environment for the photographing device using an external light source such as an LED light.

The camera in the detection system can be placed in any position where it can be radiated by the energy radiation system. Taking a top-exposed 3D printing apparatus as an example, the photographing apparatus can be mounted on the side of the energy radiation system and take a detection image toward the surface of the material (ie, the printing reference plane). Taking a top-exposed 3D printing apparatus as an example, the photographing apparatus can be mounted on the side of the energy radiation system and take a detection image to the bottom surface of the molding chamber (ie, the printing reference surface). In order to achieve the items that can be detected by each of the above detection systems, the imaging device is located below the bottom surface of the molding chamber. For example, located in close proximity to the energy radiation system in the 3D printing device. As another example, it is located at a predetermined interval from the energy radiation system.

To this end, the photographing device is configured to take an image of the molding chamber to obtain a detection image when the accumulated solidified layer on the member platform is close to or located on the printing reference surface in the molding chamber. Wherein, for the 3D printing device with the bottom surface exposure, the printing reference surface is the bottom surface of the molding chamber.

Similar to the foregoing detection methods, the photographing device can be controlled by the control device in the 3D printing device. Wherein, the control device is connectable with the Z-axis drive mechanism and the energy radiation system for cooperatively controlling the Z-axis drive mechanism and the energy radiation system to perform a layer-by-layer curing operation. When the control device controls the energy radiant system to obtain a solidified layer and has not controlled the Z-axis drive mechanism for peeling, or when the control device controls the Z-axis drive mechanism to move the component platform toward the bottom surface of the molding chamber to be spaced apart from the bottom surface of the molding chamber by a solid layer interval, Still further, when the control device controls the energy radiant system to radiate energy to the calibration plate located on the bottom surface of the molding chamber, the photographing device issues a photographing instruction, and the photographing device takes an image of the molding chamber to obtain a detected image. For example, the control device issues a photographing instruction to the photographing device upon detecting that the data radiation of the slice pattern is completed. For another example, when the control device controls the Z-axis drive mechanism to move to a solidified layer distance from the bottom surface of the molding chamber, a photographing instruction is issued to the photographing device.

It should be noted that the timing of issuing the above-mentioned photographing instruction is merely an example and not a limitation of the present application. In fact, the purpose of issuing the photographing instruction is to control the photographing device to take a detection image for detecting the energy output by the energy radiation system and provide it to the detecting device.

In other embodiments, the photographing device is only controlled by the detecting device in the detecting system, and the photographing device takes a detected image based on the photographing instruction of the detecting device. In a specific example, the detecting device acquires a control instruction of the control device to the Z-axis driving mechanism and the energy radiation system, and can issue a photographing instruction to the photographing device according to the control command. For example, the detecting device issues a photographing instruction to the photographing device upon receiving a control command to end the energy radiation of the control device. For another example, the detecting device sends a photographing instruction to the photographing device upon receiving a control command for ending the vertical movement of the control device or after a short delay, and acquires a corresponding detected image. For another example, after receiving a delay of the control command of the emitted energy radiation of the control device, the detecting device issues a photographing instruction to the photographing device and acquires a corresponding detection image. Wherein, the delay is used to ensure that the energy radiation is stable.

The detecting device is configured to detect energy of the energy radiation system by analyzing the detected image.

Here, the detected image captured by the photographing device includes a cross-sectional pattern selectively cured by an energy radiation system or a layered image for forming a cured layer. The detecting means obtains the energy output by the energy radiation system by analyzing the gray scale change of the cross-sectional pattern or the layered image in the detected image. For example, detecting the gray scale deviation of the two detected images at intervals of time, and determining whether the energy output by the energy radiation system has decayed based on whether the gray scale gap exceeds a preset gray threshold. For another example, detecting a gray scale deviation distribution of two detected images at intervals of time, and determining whether the energy distribution output by the energy radiation system is abnormal based on whether the gray scale deviation distribution exceeds a preset distribution gradient. The time interval may be set in units of day, month, and year. The cross-sectional patterns included in the two detected images are not necessarily the same, and the degree of attenuation of the energy output by the energy radiation system can be detected based on the gray-scale deviation of the overlapping regions in the two detected images.

In order to more accurately detect the energy radiated by the energy radiation system, the detection device is required to pre-store standard images. Wherein, the standard image may mark the gray value of each radiation position within a range that the energy radiation system can radiate initially. The standard image can be pre-stored in the detection device before leaving the factory.

In some embodiments, the detecting device and the photographing device are subsequently mounted on the 3D printing device, so that the standard image is not easily acquired in advance and stored in the detecting device. Therefore, during operation of the 3D printing apparatus, the detecting means collects the gradation of each pixel in the acquired detected image to fill the gradation of each pixel in the standard image.

Here, the acquired detection image is not necessarily used to detect the output energy of the energy radiation system, and can also be used to detect manufacturing abnormalities such as missing parts, cross-sectional defects or distortions. The detecting device adds the gray value of the previously detected detection image to the standard image in the case where the gray value of each pixel point is incomplete in the standard image, so as to perfect the gray level of each pixel in the standard image in a short time. . During the collection of the gray levels of the pixels of the standard image, the detection device determines that the attenuation of the energy radiation system is within a tolerable error range. When the collected detection image includes an unassigned region in the standard image, in other words, the collected standard image and the standard image include non-overlapping regions, and the grayscale values of the pixels of the non-overlapping region are given to the standard image. In the corresponding area, the assigned area in the standard image is not reassigned.

After the completion of the standard image, the detecting device detects the energy change of the energy radiation system at a preset time interval.

Here, the detecting device first detects a grayscale deviation between the grayscale of the cross-sectional pattern in the acquired detected image and the grayscale of the constructed standard image, and the detecting manner includes, but is not limited to, at least one of the following: 1) Detecting the gray level difference of the gray level mean in the two images, 2) detecting the gray level difference of each pixel point in the two images, 3) detecting the gray level mean of the overlapping areas of the two images or the gray level difference of each pixel point .

Next, the detecting device calculates an energy change value corresponding to the detected gray scale deviation according to a preset correspondence between each gradient gray level change and energy change (or power change). When it is determined that the energy output by the energy radiation system is attenuated based on the energy change value, the detecting means determines that the energy radiation system is abnormal, and otherwise waits for the next detected image for the energy radiation system.

Here, taking a scanning energy radiation system as an example, the energy radiation system comprises a beam emitter and a galvanometer, and the detecting device uses the deviation of the gray mean value to determine when the beam emitter cures the solid layer of the unit layer high The corresponding energy attenuation. Taking the surface exposure energy radiation system as an example, the energy radiation system includes a projection device that can obtain the energy attenuation and energy distribution of the projection device by using the gray difference of each pixel point. For example, please refer to FIG. 5 , which is a schematic diagram showing a distribution of gray scale differences between the standard image and the acquired detected image. According to the description of the schematic diagram, the detecting device analyzes the overlapping area of the detected image with the standard image (P1+P2). The gradation difference of each pixel of the region is obtained: the gradation difference mean value in the P1 region and the gradation difference mean value in the P2 region. The detecting device may further determine energy distribution data corresponding to the projections P1 and P2 regions of the projection device in the energy radiation system according to the grayscale difference mean values of the P1 and P2 regions and the corresponding corresponding distribution relationship between the grayscale and the energy.

The detecting device provides the detection result to the control device of the 3D printing device for adjusting the subsequent energy radiation of the energy radiation system according to the detection result when the obtained detection result does not conform to the energy radiation law of the preset energy radiation system the way.

For example, for a 3D printing device including a scanning energy radiation system, it compensates the output energy of the subsequent radiation unit layer thickness according to the detection result according to a preset beam energy attenuation and compensation scheme. For another example, for a 3D printing device including a surface exposure type energy radiation system, according to the detection result and according to a preset energy distribution and a gray compensation scheme, the gray level of the area covered by the subsequent layered image is performed. Adjustment.

The resulting test results can also be sent to the technician, for which purpose the detection system also includes a prompting device. The prompting device is connected to the detecting device data for presenting the obtained detecting information. For example, the prompting device can be a display device on a 3D printing device. When the detecting means detects the abnormality, a prompt message is displayed on the display means. As another example, the prompting device can be a smart terminal of a technician. When the detecting device detects the abnormality, the corresponding prompt message is sent to the corresponding smart terminal by using a short message or a network, and the smart terminal may prompt by using a short message tone or a message window. For another example, the prompting device may be a technician's email server and a mailbox configuration terminal. When the detecting device detects the energy change, the corresponding prompt message is sent by e-mail to the mailbox server and the mailbox configuration terminal.

The above-described detection of the energy radiation system using the detected image taken during the radiation of the energy radiation system may be disposed in the 3D printing device either alone or in conjunction with the aforementioned detection system for the missing member detection system and/or the abnormality of the cross section. The 3D printing device can still be as shown in FIG. 2, and therefore, details are not described herein again.

Wherein, the photographing device in any of the above detection systems can be positioned at a position below the transparent bottom before leaving the factory. The detection means in the detection system can be integrated with the control device or separately configured in the 3D printing device.

In some specific examples, for the scanning energy radiation system, when the detection system detects an energy abnormality of the energy radiation system radiating to the bottom surface of the molding chamber, the control device adjusts the energy abnormality data according to the detection result. The amount of energy output by the energy radiation system. The energy anomaly includes, but is not limited to, at least one of the following: energy attenuation, energy distribution asymmetry, energy distribution unevenness, and the like. The energy anomaly data may be described by a gray scale deviation or by an energy value (or power value) obtained by converting a pixel value and an energy value. For example, the detecting device determines an energy abnormality when detecting that the grayscale deviation is greater than or equal to a preset grayscale deviation threshold, or when the detected attenuation amount of the energy value reaches or exceeds a preset energy attenuation threshold; The gray scale deviation or energy abnormality data is supplied as a detection result to the control device of the 3D printing apparatus. The control device compensates the output energy of the subsequent radiation unit layer thickness according to the preset beam energy attenuation and compensation scheme according to the gray scale deviation in the detection result. The grayscale deviation threshold and the energy attenuation threshold may be values greater than or equal to zero.

In still another specific example, when it is determined that the energy distribution output by the energy radiation system is abnormal based on the detection result, the control means adjusts the grayscale distribution of the layered image according to the grayscale deviation distribution in the detection result. The abnormality of the energy distribution includes: an abnormality of the gradient of the gray distribution or the energy distribution, a gray distribution of the detected image, and a gray distribution of the preset standard image. For example, the gradient difference of the detected image with respect to adjacent grayscale distribution regions in the standard image is greater than one gradient. The detecting device, when detecting that the distribution of the energy attenuation data does not meet the preset energy distribution condition, is used to represent the grayscale deviation mean, the grayscale (or energy) distribution level or the energy attenuation data of each energy distribution, and the respective The corresponding projection range is provided as a detection result to the control device. The control device adjusts the gradation of the region covered by the subsequent layered image according to the gradation difference distribution information in the detection result and according to a preset energy attenuation and gradation compensation scheme.

The above-described energy adjustment method for the energy radiant system can also be based on the energy and gradation adjustment schemes mentioned in another patent application of the present specification No. 107 053 663 A, which is incorporated herein in its entirety. It will not be described in detail here. With the above-described detection system for the energy of the energy radiation system, the 3D printing device can extend the working life of the energy radiation system.

Please refer to FIG. 6, which shows a flow chart of another detection method of the present application. The detection method is for detecting an energy change of an energy radiation system during use of the 3D printing device. Wherein, the 3D printing device can be a 3D printing device with a bottom exposure or a 3D printing device with a top exposure. The detection method may be performed by the above-described detection system or by other detection systems capable of performing the following steps.

In step S310, when the accumulated solid layer accumulated on the member platform is close to or located on the printing reference surface in the molding chamber, an image of the molding chamber is photographed to obtain a detection image.

Here, the detection image can be acquired by the photographing device in the detection system. Wherein, the photographing device can be placed at any position where the energy radiation system can be obtained. Taking a top-exposed 3D printing apparatus as an example, the photographing apparatus can be mounted on the side of the energy radiation system and take a detection image toward the surface of the material (ie, the printing reference plane). Taking a top-exposed 3D printing apparatus as an example, the photographing apparatus can be mounted on the side of the energy radiation system and take a detection image to the bottom surface of the molding chamber (ie, the printing reference surface). In order to achieve the items that can be detected by each of the above detection systems, the imaging device is located below the bottom surface of the molding chamber. For example, located in close proximity to the energy radiation system in the 3D printing device. As another example, it is located at a predetermined interval from the energy radiation system.

Similar to the manner of detecting the missing member, the photographing device can be controlled by the control device in the 3D printing device. Wherein, the control device is connectable with the Z-axis drive mechanism and the energy radiation system for cooperatively controlling the Z-axis drive mechanism and the energy radiation system to perform a layer-by-layer curing operation. When the control device controls the energy radiant system to obtain a solidified layer and has not controlled the Z-axis drive mechanism for peeling, or when the control device controls the Z-axis drive mechanism to move the component platform toward the bottom surface of the molding chamber to be spaced apart from the bottom surface of the molding chamber by a solid layer interval, Still further, when the control device controls the energy radiant system to radiate energy to the calibration plate located on the bottom surface of the molding chamber, the photographing device issues a photographing instruction, and the photographing device takes an image of the molding chamber to obtain a detected image. For example, the control device issues a photographing instruction to the photographing device upon detecting that the data radiation of the slice pattern is completed. For another example, when the control device controls the Z-axis drive mechanism to move to a solidified layer distance from the bottom surface of the molding chamber, a photographing instruction is issued to the photographing device.

In step S320, the energy of the energy radiation system is detected by analyzing the detected image.

Here, it can be performed using a detection device in the detection line system. Wherein, the detected image captured by the photographing device includes a cross-sectional pattern selectively cured by an energy radiation system or a layered image for forming a solidified layer. The detecting means obtains the energy output by the energy radiation system by analyzing the gray scale change of the cross-sectional pattern or the layered image in the detected image. For example, detecting the gray scale deviation of the two detected images at intervals of time, and determining whether the energy output by the energy radiation system has decayed based on whether the gray scale gap exceeds a preset gray threshold. For another example, detecting a gray scale deviation distribution of two detected images at intervals of time, and determining whether the energy distribution output by the energy radiation system is abnormal based on whether the gray scale deviation distribution exceeds a preset distribution gradient. The time interval may be set in units of day, month, and year. The cross-sectional patterns included in the two detected images are not necessarily the same, and the energy variation output by the energy radiation system can be detected based on the gray-scale deviation of the overlapping regions in the two detected images.

The detecting method further includes the step of providing the detection result to the control device of the 3D printing device when the obtained detection result does not conform to the energy radiation law of the preset energy radiation system, so that the control device adjusts the energy according to the detection result. Subsequent energy radiation of the radiation system. Wherein, the energy radiation law includes but is not limited to: an energy distribution law and/or an output energy law. Wherein, the energy distribution rule includes: an energy distribution determined based on a grayscale distribution of a standard image. Examples of the energy law that is output include that the energy attenuation does not reach or exceeds a preset energy attenuation threshold, or the grayscale deviation does not reach or exceeds a preset grayscale deviation threshold. The grayscale deviation threshold and the energy attenuation threshold may be values greater than or equal to zero. Taking the scanning energy radiation system as an example, when the output energy abnormality is detected, the output energy of the subsequent radiation unit layer thickness is compensated according to the detection result according to a preset beam energy attenuation and compensation scheme. Taking the surface exposure energy radiation system as an example, when the energy distribution is abnormal, according to the detection result and according to the preset energy attenuation and gray compensation scheme, the gray level of the area covered by the subsequent layered image is adjusted. . The detection result includes the detected data for describing the abnormality of the energy radiation system, such as gray scale deviation, energy attenuation data, and the like.

The detecting method further includes transmitting the obtained detection information to a prompting device of a corresponding technician. For example, the prompting device can be a display device on a 3D printing device. When the detecting device detects the abnormality, a prompt message is displayed on the display device. As another example, the prompting device can be a smart terminal of a technician. When the detecting device detects the abnormality, the corresponding prompt message is sent to the corresponding smart terminal by using a short message or a network, and the smart terminal may prompt by using a short message tone or a message window. For another example, the prompting device may be a technician's email server and a mailbox configuration terminal. When the detecting device detects the energy attenuation, the corresponding prompt message is sent by e-mail to the mailbox server and the mailbox configuration terminal.

The detection of the 3D printing device by using any one or more of the above detection systems can effectively improve the yield of the 3D printing device and prolong the service life.

It should be noted that, through the description of the above embodiments, those skilled in the art can clearly understand that some or all of the application can be implemented by software and in combination with a necessary general hardware platform. Based on such understanding, portions of the technical solution of the present application that contribute in essence or to the prior art may be embodied in the form of a software product, which may include one or more of the executable instructions for storing the machine thereon. A machine-readable medium that, when executed by one or more machines, such as a computer, computer network, or other electronic device, can cause the one or more machines to perform operations in accordance with embodiments of the present application. The machine-readable medium can include, but is not limited to, a floppy disk, an optical disk, a CD-ROM (Compact Disk-Read Only Memory), a magneto-optical disk, a ROM (Read Only Memory), a RAM (Random Access Memory), an EPROM (erasable) In addition to programmable read only memory, EEPROM (Electrically Erasable Programmable Read Only Memory), magnetic or optical cards, flash memory, or other types of media/machine readable media suitable for storing machine executable instructions.

This application can be used in a variety of general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor based systems, set-top boxes, programmable consumer electronics devices, network PCs, small computers, mainframe computers, including A distributed computing environment of any of the above systems or devices.

The application can be described in the general context of computer-executable instructions executed by a computer, such as a program module. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform particular tasks or implement particular abstract data types. The present application can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network. In a distributed computing environment, program modules can be located in both local and remote computer storage media including storage devices.

The present application has been disclosed in the above preferred embodiments, but it is not intended to limit the present application. Any person skilled in the art can use the methods and technical contents disclosed above to apply to the present application without departing from the spirit and scope of the present application. The technical solutions make possible changes and modifications. Therefore, any simple modifications, equivalent changes, and modifications made to the above embodiments in accordance with the technical spirit of the present application are not included in the technical solutions of the present application. protected range.

Claims

A detection system for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiant system and a component platform on a bottom surface of the molding chamber, wherein the component platform is cumulatively attached to the molding chamber A cured layer selectively curable by an energy radiation system, wherein the detection system comprises:

a photographing device, configured to capture an image of the molding chamber to obtain a detection image after the component platform drives the cumulative adhesion curing layer to be peeled off from the bottom surface of the molding chamber;

And a detecting device connected to the photographing device for detecting a process of manufacturing the three-dimensional object by the 3D printing device by analyzing the detected image.
The detecting system according to claim 1, wherein said detecting means detects a pattern at a gap between a bottom surface of the molding chamber and the solidified layer in said detected image, and determines a manufactured three-dimensional object based on the detection result The three-dimensional object anomaly produced is determined at the time of the defect.
The detecting system according to claim 1, wherein said detecting means locates a defective three-dimensional object when determining that the manufactured three-dimensional object is defective based on the detection result.
The detection system of claim 1 further comprising: a light environment providing device disposed about said energy radiation system for providing a stable light environment during said camera capture.
The detecting system according to claim 4, wherein the light environment providing device comprises:

An isolation barrier for isolating at least the illumination range of the energy radiation system from an external environment;

A light source disposed within the isolation barrier for providing a stable light environment for the camera.
The detection system of claim 1 further comprising a prompting device coupled to said detecting device for prompting the detection information.
A detection system for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiation system, and a component platform, wherein the component platform is cumulatively attached to the molding chamber and selectively cured by the energy radiation system The cured layer is characterized in that the detection system comprises:

a photographing device, configured to photograph an image of the molding chamber to obtain a detection image when the solidified layer attached to the component platform is close to or located on the printing reference surface in the molding chamber;

And a detecting device connected to the photographing device for detecting a process of manufacturing the three-dimensional object by the 3D printing device by analyzing the detected image.
The inspection system of claim 7 further comprising: a calibration mark disposed on the molding chamber;

The calibration image captured by the imaging device includes the calibration mark;

The detecting device is further configured to correct the detected image based on the calibration mark.
The detecting system according to claim 7 or 8, wherein said detecting means detects the degree of coincidence of the sectional pattern of said detected image with the slice pattern of the same solidified layer to determine whether the manufactured three-dimensional object is abnormal.
The detecting system according to claim 7, wherein said 3D printing device is a top exposure based 3D printing device, said photographing device performing at least one time during a doctor blade leveling operation in said 3D printing device Shoot to get at least one detected image.
The detecting system according to claim 10, wherein said detecting means determines whether the manufactured three-dimensional object is abnormal by detecting a position of a cross section of the three-dimensional object in each of the detected images.
The detection system of claim 7 further comprising: a light environment providing device disposed about said energy radiation system for providing a stable light environment during said camera capture.
The detecting system according to claim 12, wherein the light environment providing device comprises:

An isolation barrier for isolating at least the illumination range of the energy radiation system from an external environment;

A light source disposed within the isolation barrier for providing a stable light environment for the camera.
The detection system of claim 7 further comprising a prompting device coupled to said detection device for presenting said obtained detection information.
The detecting system according to claim 7, wherein said detecting means positions the corresponding three-dimensional object when it is determined that the manufactured three-dimensional object is abnormal based on the detection result.
A detection system for detecting an energy radiation system of a 3D printing device, wherein the detection system comprises:

a photographing device for photographing the projected image to obtain a detected image during the image projection of the energy radiation system to the molding chamber;

A detecting device is coupled to the photographing device for detecting energy of the energy radiation system by analyzing the detected image.
The detecting system according to claim 16, wherein said detecting means detects a gray-scale deviation between a gradation of a cross-sectional pattern in said detected image and a gradation of a preset standard image to determine said energy Whether the energy output by the radiation system is abnormal.
The detecting system according to claim 16, wherein said detecting means collects the gradation of each pixel in the acquired detected image to fill the gradation of each pixel in the standard image.
The detecting system according to claim 16, wherein said detecting means determines said gradation deviation by comparing gradations of overlapping areas in said standard image and said detected image.
The detection system of claim 16 further comprising: a light environment providing device disposed about said energy radiation system for providing a stable light environment during said camera capture.
The detecting system according to claim 20, wherein the light environment providing device comprises:

An isolation barrier for isolating at least the illumination range of the energy radiation system from an external environment;

A light source disposed within the isolation barrier for providing a stable light environment for the camera.
The detection system of claim 16 further comprising a prompting device coupled to said detection device for presenting said obtained detection information.
A 3D printing device, comprising:

a molding chamber for holding a material to be formed;

An energy radiant system, located on a bottom surface of the molding chamber, for selectively curing the material according to data of the received dicing pattern to form a solidified layer;

a component platform for cumulatively attaching the cured layer;

a Z-axis driving mechanism connected to the component platform for adjusting a spacing between the component platform and a bottom surface of the molding chamber;

A detecting system according to any one of claims 1 to 6 for detecting a manufacturing process of a three-dimensional object accumulated by a solidified layer;

And a control device for controlling the Z-axis drive mechanism and the energy radiation system based on the detection result of the detection system.
The 3D printing apparatus according to claim 21, wherein the control means is further configured to: when determining that there is an abnormality in the manufactured three-dimensional object based on the detection result, adjusting a subsequent printing policy and controlling according to the adjusted printing policy The Z-axis drive mechanism and/or the energy radiation system.
A 3D printing device, comprising:

a molding chamber for holding a material to be formed;

An energy radiant system, located on a bottom surface of the molding chamber, for selectively curing a material according to data of the received dicing pattern to form a solidified layer;

a component platform located in the molding chamber for cumulatively attaching the cured layer;

a Z-axis driving mechanism connected to the component platform for adjusting a spacing between the component platform and a bottom surface of the molding chamber;

A detection system according to any one of claims 7 to 15 for detecting a manufacturing process of a three-dimensional object accumulated by a solidified layer;

And a control device for controlling the Z-axis drive mechanism and the energy radiation system based on the detection result of the detection system.
The 3D printing apparatus according to claim 23, wherein the control means is further configured to: when determining that there is an abnormality in the manufactured three-dimensional object based on the detection result, adjusting a subsequent printing policy and controlling according to the adjusted printing policy The Z-axis drive mechanism and/or the energy radiation system.
A 3D printing device, comprising:

An energy radiant system, located on a bottom surface of the molding chamber, for selectively curing a material according to data of the received dicing pattern to form a solidified layer;

A detection system according to any of claims 16-22 for detecting an image illuminated by said energy radiation system.
The 3D printing apparatus according to claim 25, further comprising control means for performing the following steps:

When it is determined that there is an abnormality in the energy output by the energy radiation system based on the detection result, adjusting an energy value output by the energy radiation system according to the energy abnormality data in the detection result; and/or

When it is determined that the energy distribution output by the energy radiation system is abnormal based on the detection result, the grayscale distribution of the layered image is adjusted according to the grayscale deviation distribution in the detection result.
A detecting method for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiation system and a component platform located on a bottom surface of the molding chamber, wherein the component platform is cumulatively attached to the molding chamber A cured layer selectively cured by an energy radiation system, characterized in that the detection method comprises:

After the component platform drives the cumulative adhesion curing layer to peel off from the bottom surface of the molding chamber, the image in the molding chamber is photographed to obtain a detection image;

The process of manufacturing the three-dimensional object by the 3D printing apparatus is detected by analyzing the detected image.
The detecting method according to claim 29, wherein the detecting the image detecting the abnormality of the process of manufacturing the three-dimensional object by the 3D printing device comprises: detecting the bottom surface of the molding chamber and the component platform in the detection image The pattern at the gap between the gaps, and when the manufactured three-dimensional object is determined to be defective based on the detection result, the manufactured three-dimensional object abnormality is determined.
The detecting method according to claim 29, wherein when determining the manufactured three-dimensional object abnormality based on the detection result, the method further comprises: locating the abnormal three-dimensional object.
The detecting method according to claim 29, further comprising the step of presenting the detected detection information.
A detection method for a 3D printing apparatus, the 3D printing apparatus comprising: a molding chamber, an energy radiation system, and a component platform, wherein the component platform is cumulatively attached to the molding chamber and selectively cured by the energy radiation system The cured layer is characterized in that the detecting method comprises:

When the accumulated solid layer attached to the component platform is close to or located on the printing reference surface in the molding chamber, the image in the molding chamber is photographed to obtain a detection image;

The process of manufacturing the three-dimensional object by the 3D printing apparatus is detected by analyzing the detected image.
The detecting method according to claim 33, wherein the detection image captured by the photographing device includes the calibration mark;

The method also includes the step of correcting the detected image based on the calibration mark.
The detecting method according to claim 33, wherein the means for detecting the process of manufacturing the three-dimensional object by the 3D printing device by analyzing the detected image comprises: detecting a cross-sectional pattern in the detected image and a slice pattern of the same solidified layer The degree of coincidence to determine if the manufactured three-dimensional object is abnormal.
The detecting method according to claim 33, further comprising the step of presenting the detected detection information.
The detecting method according to claim 33, wherein when determining the manufactured three-dimensional object abnormality based on the detection result, the method further comprises: locating the abnormal three-dimensional object.
The detecting method according to claim 33, wherein said 3D printing apparatus further comprises a doctor blade device, and said step of capturing an image of the molding chamber to obtain a detected image includes: during said doctor blade device flattening the printing reference surface Perform at least one shot to obtain at least one detected image.
The detecting method according to claim 38, wherein the step of detecting the process of manufacturing the three-dimensional object by the 3D printing apparatus by analyzing the detected image comprises: detecting a cross section of the manufactured three-dimensional object in each detected image The location of the process of detecting the 3D printing device to manufacture a three-dimensional object.
A detection method for detecting an energy radiation system of a 3D printing device, wherein the detection method comprises:

During projection of the image by the energy radiant system into the molding chamber, the projected image is taken to obtain a detected image; the energy of the energy radiant system is detected by analyzing the detected image.
The detecting method according to claim 40, wherein the detecting the energy of the energy radiating system by analyzing the detected image comprises: detecting a grayscale and a preset of a cross-sectional pattern in the detected image The gray scale deviation between the gray levels of the standard image to determine if the energy output by the energy radiation system is abnormal.
The detecting method according to claim 40, further comprising the step of collecting the gradation of each pixel in the acquired detected image to fill the gradation of each pixel in the standard image.
The detecting method according to claim 40, wherein the manner of detecting the gradation deviation between the gradation of the cross-sectional pattern in the image and the gradation of the preset standard image comprises: comparing the standard image And the step of detecting the gradation of the overlapping area in the image to determine the gradation deviation.
The detecting method according to claim 40, further comprising the step of presenting the obtained detection information.
An electronic device, comprising:

a memory for storing a detected image from the photographing device and at least one computer program;

At least one processor;

When the one or more computer programs are executed by the one or more processors, causing the one or more processors to perform the method of any one of claims 29-32, such as claim 33 The method of any of the preceding claims, or the method of any of claims 40-44.
A computer storage medium characterized by storing a detected image from a photographing device and at least one computer program;

When the one or more computer programs are executed by one or more processors, the method of any one of claims 27-30, such as the method of any one of claims 29-32, such as The method of any of claims 33-39, or the method of any of claims 40-44.