CN117382168A - High-precision positioning device for composite material additive manufacturing - Google Patents
High-precision positioning device for composite material additive manufacturing Download PDFInfo
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- CN117382168A CN117382168A CN202311310830.XA CN202311310830A CN117382168A CN 117382168 A CN117382168 A CN 117382168A CN 202311310830 A CN202311310830 A CN 202311310830A CN 117382168 A CN117382168 A CN 117382168A
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 40
- 239000000654 additive Substances 0.000 title claims abstract description 29
- 230000000996 additive effect Effects 0.000 title claims abstract description 29
- 239000002131 composite material Substances 0.000 title claims abstract description 16
- 238000007639 printing Methods 0.000 claims abstract description 67
- 239000007921 spray Substances 0.000 claims abstract description 67
- 230000003287 optical effect Effects 0.000 claims abstract description 21
- 238000013527 convolutional neural network Methods 0.000 claims abstract description 18
- 238000003384 imaging method Methods 0.000 claims abstract description 8
- 239000002994 raw material Substances 0.000 claims description 46
- 239000000463 material Substances 0.000 claims description 38
- 238000000034 method Methods 0.000 claims description 29
- 238000007711 solidification Methods 0.000 claims description 18
- 230000008023 solidification Effects 0.000 claims description 18
- 238000010438 heat treatment Methods 0.000 claims description 12
- 230000000694 effects Effects 0.000 claims description 7
- 239000003086 colorant Substances 0.000 claims description 5
- 230000009286 beneficial effect Effects 0.000 description 10
- 238000005507 spraying Methods 0.000 description 7
- 238000010146 3D printing Methods 0.000 description 6
- 238000005259 measurement Methods 0.000 description 6
- 230000000903 blocking effect Effects 0.000 description 5
- 238000000465 moulding Methods 0.000 description 4
- 230000032683 aging Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000002844 melting Methods 0.000 description 2
- 230000008018 melting Effects 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/10—Processes of additive manufacturing
- B29C64/106—Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/20—Apparatus for additive manufacturing; Details thereof or accessories therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/20—Apparatus for additive manufacturing; Details thereof or accessories therefor
- B29C64/205—Means for applying layers
- B29C64/209—Heads; Nozzles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
- B29C64/393—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y30/00—Apparatus for additive manufacturing; Details thereof or accessories therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
- B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
Landscapes
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Materials Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
Abstract
The invention discloses a high-precision positioning device for composite material additive manufacturing in the field of additive manufacturing, which comprises an additive manufacturing device body, wherein the additive manufacturing device body comprises a printing platform, a printing spray head, a spray head moving driving device and a grating projector; the spray head moving driving device is provided with a spray head mounting seat, the spray head mounting seat is provided with a positioning beam emitter, the spray head mounting seat is provided with a stereoscopic microscope, a microscope head of the stereoscopic microscope is provided with a camera, and a signal of the camera is connected with a controller; the controller is used for acquiring an imaging image of the stereoscopic microscope, a trained convolutional neural network is arranged in the controller and used for identifying an optical grid in the imaging image and positioning a light beam striking point, and the spray head moving driving device is controlled to adjust the position of the spray head mounting seat until the light beam striking point is positioned on a cross intersection point of the optical grid. By adopting the technical scheme of the invention, the optical grid and the positioning light beam are used for positioning, so that the movement precision of the printing nozzle is improved.
Description
Technical Field
The invention belongs to the field of additive manufacturing, and particularly relates to a high-precision positioning device for composite material additive manufacturing.
Background
The material manufacturing technology (commonly called 3D printing) is a rapid prototyping technology, which is a three-dimensional prototyping technology for constructing objects by using various types of bondable materials such as metal powder, fluid materials, plastics and the like based on a digital model through computer software program control and in a mode of stacking the materials layer by layer. In the prior art, the three-axis main movement mechanism of the 3D printer has a certain return stroke difference, the Z-axis positioning precision of vertical movement is lower, the effective stroke range is smaller and is limited by the structure, the 3D printer in the prior art has single function, and the additive manufacturing function can only be completed generally. The coordinate measurement technique is mainly applied to geometric quantity measurement. An object of any shape is composed of spatial points, and geometric measurements of the object can be attributed to measurements of spatial points. In the additive manufacturing process, the coordinate data of the space points of the constructed object can be obtained by accurately acquiring the coordinates of the space points and processing the coordinates of the space points by computer data.
To solve the above-mentioned problems, patent publication No. CN108515696a discloses an additive manufacturing apparatus and a high-precision positioning method thereof, including a 3D printing unit, a positioning unit, a measuring unit, and a control system. The 3D printing unit comprises a feeding mechanism and one or more 3D printing spray heads, and the feeding mechanism is used for conveying printing consumables to the 3D printing spray heads to print objects; the positioning unit is arranged on the base, the 3D printing spray head is arranged on the positioning unit, the positioning unit comprises an air floatation guide rail mechanism, and the air floatation guide rail mechanism drives the positioning unit to move in a three-dimensional direction relative to the base; the measuring unit is used for measuring the space position of the printing object and measuring the movement position of the positioning unit; the control system is used for receiving and processing the measurement result of the measurement unit and controlling the corresponding movement of the air floatation guide rail mechanism based on the measurement result.
According to the material increase manufacturing equipment and the high-precision positioning method thereof, the air floatation guide rail mechanism is adjusted to move correspondingly by measuring the spatial position of the printed object, but the precision is high in the printing process, the relative position of the printed object and the printing spray head is difficult to position with high precision due to technical limitations, and the air floatation guide rail mechanism receives temperature thermal expansion and contraction or aging after long-term use and can generate precision errors.
Disclosure of Invention
In order to solve the problem that the relative positions of a printing object and a printing spray head in the prior art are difficult to position with high precision, the invention aims to provide the high-precision positioning device for additive manufacturing of composite materials, and the positioning is performed through an optical grid and positioning beams, so that the movement precision of the printing spray head is improved.
In order to achieve the above object, the technical scheme of the present invention is as follows: the high-precision positioning device for composite material additive manufacturing comprises an additive manufacturing device body, wherein the additive manufacturing device body comprises a printing platform, a printing spray head, a spray head moving driving device and a grating projector;
the spray head moving driving device is provided with a spray head mounting seat, the spray head mounting seat is provided with a feeding component, the printing spray head is fixedly connected to the spray head mounting seat, the printing spray head is communicated with the feeding component, the spray head mounting seat is provided with a positioning light beam emitter, the spray head mounting seat is provided with a stereoscopic microscope, a light source and a microscopic lens of the stereoscopic microscope are respectively positioned at two sides of the printing spray head, the microscopic lens of the stereoscopic microscope is provided with a camera, and a signal of the camera is connected with a controller;
the grating projector is positioned above the side of the printing platform and is used for projecting the grating grid onto the printing platform;
the controller is used for acquiring an imaging image of the stereoscopic microscope, a trained convolutional neural network is arranged in the controller and used for identifying an optical grid and a positioning beam striking point in the imaging image, judging the relative positions of the cross intersection point of the optical grid and the positioning beam striking point and controlling the spray head moving driving device to adjust the position of the spray head mounting seat until the beam striking point is located on the cross intersection point of the optical grid.
After the scheme is adopted, the following beneficial effects are realized: the printing nozzle can be used for manufacturing a workpiece in an additive manufacturing mode on the printing platform. When manufacturing is started, the grating projector projects the light grating on the printing platform, and then the printing nozzle starts to perform additive manufacturing under the driving of the nozzle moving driving device.
The stereoscopic microscope is used for acquiring an enlarged image of the spraying position, and the distance between the printing nozzle and the workpiece is stable when the printing nozzle is used, so that the image of the spraying position can be obtained by fixing the focusing of the stereoscopic microscope. The workpiece is illuminated by the grating, so that the grating appears on the surface of the workpiece, and the positioning beam emitted by the positioning beam emitter impinges on the surface of the workpiece. The controller identifies the image at the spraying position, judges whether the striking point of the positioning light beam and the cross intersection point of the grating lattice coincide, and controls the spray head moving driving device to adjust the position of the printing spray head through negative feedback adjustment when the striking point of the positioning light beam and the cross intersection point of the grating lattice do not coincide, so that the positioning light beam is aligned to the cross intersection point of the grating lattice. The distance of the print head from the positioning beam emitter is a fixed value, so the ejection position of the print head is also calibrated.
Compared with the prior art, the optical grid is projected by the grating projector to serve as a reference system, the stereoscopic microscope amplifies an image at the material spraying position, the relative position of the positioning light beam and the optical grid is judged by the convolutional neural network, the relative position of the positioning light beam and the optical grid can be detected by the convolutional neural network, the moving position of the spray head moving driving device is subjected to negative feedback adjustment, the precision is guaranteed, the requirement of image pickup equipment is reduced by the stereoscopic microscope, and the moving difference of the spray head moving driving device is displayed in a lens of the stereoscopic microscope by the light beam.
Further, the grid of the optical grid is square, and the distance from the positioning beam emitter to the center of the printing nozzle is a multiple of the length of the grid.
The beneficial effects are that: the distance between the positioning beam emitter and the center of the printing spray head is a multiple of the length of the grid, so that the position of the printing spray head can be calculated more conveniently, and the printing spray head can be operated more conveniently according to the grid.
Further, the feed subassembly is including trading the material wheel, and the material wheel rotates with the shower nozzle mount pad to be connected, and the last circumference intercommunication of material wheel has a plurality of feed pipes, and the lower part outside of material wheel is equipped with the insection, is equipped with the motor in the shower nozzle mount pad, fixedly connected with gear on the output shaft of motor, gear and insection meshing are equipped with the raw materials heater in the shower nozzle mount pad, and the material wheel is used for rotatory switching to get into the raw materials type of raw materials heater, raw materials heater and printing shower nozzle intercommunication.
The beneficial effects are that: the device can drive the gear to rotate through the motor so as to drive the material changing wheel to rotate, and the material sprayed by the printing spray head is switched to manufacture the composite material workpiece.
Further, the controller is in signal connection with the raw material heater, a relation function of the number of the feed pipe, the rotation angle of the motor and the number of the feed pipe communicated with the raw material heater and the rated heating temperature of each raw material are stored in the controller, and the controller obtains the temperature of the material to be preheated currently through the relation function and controls the raw material heater to change the temperature.
The beneficial effects are that: the heating temperatures of materials with different textures are different, and the problems that the raw materials are solidified before being molded or the molding quality is poor due to too slow solidification caused by improper temperatures are easy to occur. By identifying the types of raw materials and heating, the materials in different lands can obtain better solidification effect.
Further, the convolutional neural network is also used for identifying the solidification process after the raw materials are sprayed out, grading the solidification effect and adjusting the heating temperature of the raw materials by the raw material heater according to the grading result.
The beneficial effects are that: the process of raw materials, the indoor temperature and the aging of a raw material heater can influence the melting and solidification of the raw materials, the image during solidification is analyzed through a convolutional neural network, the heating temperature of the raw materials is continuously adjusted according to the molding shape and the solidification time, the solidification effect of each material is further improved, and the microscopic quality of a workpiece is improved.
Further, the controller is used for recording the process data for controlling the nozzle mounting seat to the control of the cross point of the light grid at the light beam striking point, and when the same process data is recorded for a plurality of times, the control parameters of the nozzle moving driving device are corrected according to the process data.
The beneficial effects are that: the accuracy can be ensured through negative feedback adjustment, but the processing time is prolonged, the control parameters of the spray head moving driving device are corrected by recording the process data in the adjustment process, the adjustment amount in subsequent processing is reduced, and the processing speed is improved.
Further, the colors of the beams produced by the grating projector and the positioning beam emitter are different.
The beneficial effects are that: the different colors of the light beams are beneficial to the identification of the convolutional neural network, so that the light beams generated by the grating projector and the positioning light beam emitter have more characteristics, and the identification and judgment speed of the convolutional neural network is increased.
Further, a baffle for shielding natural light is arranged on the printing platform.
The beneficial effects are that: the blocking curtain can reduce the interference of natural light on the light beam, so that the light beam is not obvious, the interference of the natural light on the light beam can be reduced by blocking the natural light, and the recognition and judgment speed of the convolutional neural network is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the present invention.
Fig. 2 is a schematic structural view of the nozzle mount.
List of reference numerals:
the printing device comprises a printing platform 1, a printing spray head 2, a spray head moving driving device 3, a grating projector 4, a spray head mounting seat 5, a feeding component 6, a positioning beam emitter 7, a stereoscopic microscope 8, a camera 9, a controller 10, a material changing wheel 11, a feeding pipe 12, a tooth pattern 13, a motor 14, a gear 15, a raw material heater 16 and a blocking curtain 17.
Detailed Description
The present invention is further illustrated in the following drawings and detailed description, which are to be understood as being merely illustrative of the invention and not limiting the scope of the invention. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the drawings, and the words "inner" and "outer" refer to directions toward or away from, respectively, the geometric center of a particular component.
Example 1
An example is substantially as shown in figures 1 and 2:
the high-precision positioning device for composite material additive manufacturing comprises an additive manufacturing device body, wherein the additive manufacturing device body comprises a printing platform 1, a printing spray head 2, a spray head moving driving device 3 and a grating projector 4, the model of the printing spray head 2 is Ender-3, and the model of the grating projector 4 is DBF6;
the spray head moving driving device 3 is an electric lead screw, the model of the electric lead screw is 6mEMG6y5, the spray head moving driving device 3 is connected with a spray head mounting seat 5 in a sliding manner, a feeding component 6 is mounted on the spray head mounting seat 5, a printing spray head 2 is fixed on the spray head mounting seat 5 through screws, the printing spray head 2 is communicated with the feeding component 6, a positioning light beam emitter 7 is fixed on the spray head mounting seat 5 through screws, the light beam emitter is a laser pen, the model of the light beam emitter is TIP-015, a stereoscopic microscope 8 is mounted on the spray head mounting seat 5, a light source and a microscopic lens of the stereoscopic microscope 8 are respectively positioned on two sides of the printing spray head 2, a camera 9 is fixed on a microscopic head of the stereoscopic microscope 8 through bolts, the model of the camera 9 is DV255K, a controller 10 is connected with signals of the camera 9, and the model of the controller 10 is CLB-SMP01;
the grating projector 4 is positioned above the side of the printing platform 1, and the grating projector 4 is used for projecting the grating grid onto the printing platform 1;
the controller 10 is used for acquiring an imaging image of the stereoscopic microscope 8, a trained convolutional neural network is arranged in the controller 10, the convolutional neural network is used for identifying an optical grid and a positioning beam striking point in the imaging image, judging the relative positions of the cross intersection point of the optical grid and the positioning beam striking point, and controlling the nozzle moving driving device 3 to adjust the position of the nozzle mounting seat 5 until the beam striking point is located on the cross intersection point of the optical grid.
The specific implementation process is as follows: the printing nozzle 2 can perform additive manufacturing on the printing platform 1 to manufacture a workpiece. When manufacturing is started, the raster projector 4 projects the optical raster on the printing platform 1, and then the printing nozzle 2 starts additive manufacturing under the drive of the nozzle moving drive device 3.
The stereoscopic microscope 8 is used for acquiring an enlarged image of the spraying position, and the distance between the printing nozzle 2 and the workpiece is stable when the printing nozzle 2 is printed, so that the image of the spraying position can be acquired by fixing the focusing of the stereoscopic microscope 8. The workpiece is illuminated by the grating, so that the grating appears on the surface of the workpiece, and the positioning beam emitted by the positioning beam emitter 7 impinges on the surface of the workpiece. The controller 10 recognizes the image at the position of the material to judge whether the striking point of the positioning beam coincides with the cross intersection point of the grating lattice, and when the striking point of the positioning beam does not coincide with the cross intersection point of the grating lattice, the nozzle moving driving device 3 is controlled to adjust the position of the printing nozzle 2 through negative feedback adjustment, so that the positioning beam is aligned with the cross intersection point of the grating lattice. The distance of the printing head 2 from the positioning beam emitter 7 is a fixed value, and thus the ejection position of the printing head 2 is also calibrated.
The invention uses the grating projector 4 to project the light grid as a reference system, the stereoscopic microscope 8 amplifies the image of the material spraying position, and uses the convolution neural network to judge the relative position of the positioning light beam and the light grid, so that the relative position of the positioning light beam and the light grid can be detected, the negative feedback adjustment can be carried out to ensure the precision, the requirement of the image pickup equipment is reduced through the stereoscopic microscope 8, and the movement difference of the nozzle movement driving device 3 is displayed in the lens of the stereoscopic microscope 8 through the light beam.
Example two
The difference from the above embodiment is that: the grid of the optical grid is square, and the distance from the positioning beam emitter 7 to the center of the printing head 2 is a multiple of the grid length.
The specific implementation process is as follows: positioning the beam emitter 7 a distance from the center of the printing head 2 that is a multiple of the length of the grid facilitates calculation of the position of the printing head 2 and facilitates operation in accordance with the grid.
Example III
The difference from the above embodiment is that: the feed assembly 6 comprises a feed wheel 11, the feed wheel 11 is rotationally connected with a nozzle mounting seat 5, a plurality of feed pipes 12 are circumferentially communicated on the feed wheel 11, a tooth pattern 13 is integrally formed on the outer side of the lower part of the feed wheel 11, a motor 14 is fixedly arranged in the nozzle mounting seat 5 through screws, the model of the motor 14 is GSR120-L i, a gear 15 is fixedly welded on an output shaft of the motor 14, the gear 15 is meshed with the tooth pattern 13, a raw material heater 16 is fixedly arranged in the nozzle mounting seat 5 through screws, the model of the raw material heater 16 is OLOEY yy8, the feed wheel 11 is used for rotationally switching the raw material type entering the raw material heater 16, and the raw material heater 16 is communicated with the printing nozzle 2.
The specific implementation process is as follows: the device can drive the gear 15 to rotate through the motor 14 so as to drive the material changing wheel 11 to rotate, and the material ejected by the printing nozzle 2 is switched to manufacture the composite material workpiece.
Example IV
The difference from the above embodiment is that: the controller 10 is in signal connection with the raw material heater 16, a relation function of the number of the feeding pipe 12, the rotation angle of the motor 14 and the number of the feeding pipe 12 communicated with the raw material heater 16 and the rated heating temperature of each raw material are stored in the controller 10, and the controller 10 obtains the temperature of the material to be preheated currently through the relation function and controls the raw material heater 16 to change the temperature.
The specific implementation process is as follows: the heating temperatures of materials with different textures are different, and the problems that the raw materials are solidified before being molded or the molding quality is poor due to too slow solidification caused by improper temperatures are easy to occur. By identifying the types of raw materials and heating, the materials in different lands can obtain better solidification effect.
Example five
The difference from the above embodiment is that: the convolutional neural network is also used for identifying the solidification process after the raw material is sprayed out, grading the solidification effect, and adjusting the heating temperature of the raw material by the raw material heater 16 according to the grading result.
The specific implementation process is as follows: the process of the raw materials, the indoor temperature and the aging of the raw material heater 16 all affect the melting and solidification of the raw materials, the image during solidification is analyzed through a convolutional neural network, the heating temperature of the material is continuously adjusted according to the molding shape and the solidification time, the solidification effect of each material is further improved, and the microscopic quality of the workpiece is improved.
Example six
The difference from the above embodiment is that: the controller 10 is used for recording process data for controlling the nozzle mount 5 to control the position of the beam striking point to the cross point of the optical grid, and correcting the control parameters of the nozzle moving driving device 3 according to the process data when the same process data is recorded for a plurality of times.
The specific implementation process is as follows: the accuracy can be ensured through negative feedback adjustment, but the processing time is prolonged, the control parameters of the spray head moving driving device 3 are corrected by recording the process data in the adjustment process, the adjustment amount in subsequent processing is reduced, and the processing speed is improved.
Example seven
The difference from the above embodiment is that: the colors of the beams generated by the grating projector 4 and the positioning beam emitter 7 are different.
The specific implementation process is as follows: the different colors of the light beams are beneficial to the identification of the convolutional neural network, so that the light beams generated by the grating projector 4 and the positioning light beam emitter 7 have more characteristics, and the identification and judgment speed of the convolutional neural network is increased.
Example eight
The difference from the above embodiment is that: the printing platform 1 is connected with a baffle 17 for shielding natural light in a sliding way.
The specific implementation process is as follows: the blocking curtain 17 can reduce the interference of natural light on the light beam, so that the light beam is not obvious, the blocking curtain 17 can shield the natural light, the interference of the natural light on the light beam can be reduced, and the recognition and judgment speed of the convolutional neural network is improved.
The technical means disclosed by the scheme of the invention is not limited to the technical means disclosed by the embodiment, and also comprises the technical scheme formed by any combination of the technical features.
Claims (8)
1. A high accuracy positioner for combined material vibration material disk, its characterized in that: the material adding and manufacturing device comprises a material adding and manufacturing device body, wherein the material adding and manufacturing device body comprises a printing platform, a printing spray head, a spray head moving driving device and a grating projector;
the spray head moving driving device is provided with a spray head mounting seat, the spray head mounting seat is provided with a feeding component, the printing spray head is fixedly connected to the spray head mounting seat, the printing spray head is communicated with the feeding component, the spray head mounting seat is provided with a positioning light beam emitter, the spray head mounting seat is provided with a stereoscopic microscope, a light source and a microscopic lens of the stereoscopic microscope are respectively positioned at two sides of the printing spray head, the microscopic lens of the stereoscopic microscope is provided with a camera, and a signal of the camera is connected with a controller;
the grating projector is positioned above the side of the printing platform and is used for projecting the grating grid onto the printing platform;
the controller is used for acquiring an imaging image of the stereoscopic microscope, a trained convolutional neural network is arranged in the controller and used for identifying an optical grid and a positioning beam striking point in the imaging image, judging the relative positions of the cross intersection point of the optical grid and the positioning beam striking point and controlling the spray head moving driving device to adjust the position of the spray head mounting seat until the beam striking point is located on the cross intersection point of the optical grid.
2. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the grid of the optical grid is square, and the distance between the positioning beam emitter and the center of the printing spray head is a multiple of the length of the grid.
3. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the feed subassembly is including trading the material wheel, and the material wheel rotates with the shower nozzle mount pad to be connected, and the last circumference intercommunication of material wheel has a plurality of feed pipes trades the lower part outside of material wheel and is equipped with the insection, is equipped with the motor in the shower nozzle mount pad, fixedly connected with gear on the output shaft of motor, gear and insection meshing are equipped with the raw materials heater in the shower nozzle mount pad, and the material wheel is used for rotatory switching to get into the raw materials type of raw materials heater, raw materials heater and printing shower nozzle intercommunication.
4. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the controller is in signal connection with the raw material heater, a relation function of the number of the feed pipe, the rotation angle of the motor and the number of the feed pipe communicated with the raw material heater and the rated heating temperature of each raw material are stored in the controller, and the controller obtains the temperature of the material to be preheated currently through the relation function and controls the raw material heater to change the temperature.
5. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the convolutional neural network is also used for identifying the solidification process after the raw materials are sprayed out, grading the solidification effect and adjusting the heating temperature of the raw materials by the raw material heater according to the grading result.
6. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the controller is used for recording the process data for controlling the nozzle mounting seat to control the light beam striking point to the cross intersection point of the light grid, and when the same process data are recorded for a plurality of times, the control parameters of the nozzle moving driving device are corrected according to the process data.
7. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the grating projector and the positioning beam emitter produce different colors of the beams.
8. The high precision positioning apparatus for composite additive manufacturing of claim 1, wherein: the printing platform is provided with a baffle for shielding natural light.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311310830.XA CN117382168A (en) | 2023-10-11 | 2023-10-11 | High-precision positioning device for composite material additive manufacturing |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311310830.XA CN117382168A (en) | 2023-10-11 | 2023-10-11 | High-precision positioning device for composite material additive manufacturing |
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| Publication Number | Publication Date |
|---|---|
| CN117382168A true CN117382168A (en) | 2024-01-12 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311310830.XA Pending CN117382168A (en) | 2023-10-11 | 2023-10-11 | High-precision positioning device for composite material additive manufacturing |
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| Country | Link |
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| CN (1) | CN117382168A (en) |
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2023
- 2023-10-11 CN CN202311310830.XA patent/CN117382168A/en active Pending
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