CN117058154B - Defect identification method, system and medium for 3DP metal printing powder spreading process - Google Patents

Defect identification method, system and medium for 3DP metal printing powder spreading process Download PDF

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Publication number
CN117058154B
CN117058154B CN202311325739.5A CN202311325739A CN117058154B CN 117058154 B CN117058154 B CN 117058154B CN 202311325739 A CN202311325739 A CN 202311325739A CN 117058154 B CN117058154 B CN 117058154B
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defect
personal computer
industrial personal
defect area
powder spreading
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CN117058154A (en
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杨艳艳
贺一轩
陈武涛
刘朝
陈佳杰
李庆
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Xi'an Aerospace Electromechanical Intelligent Manufacturing Co ltd
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Xi'an Aerospace Electromechanical Intelligent Manufacturing Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B22—CASTING; POWDER METALLURGY
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    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8883—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges involving the calculation of gauges, generating models
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    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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Abstract

The embodiment of the invention discloses a defect identification method, a system and a medium for a 3DP metal printing powder spreading process, wherein the method is applied to the defect identification system for the 3DP metal printing powder spreading process, and the method comprises the following steps: the acquisition equipment receives an acquisition instruction sent by the monitoring system industrial personal computer, acquires a substrate image according to the acquisition instruction and sends the substrate image to the monitoring system industrial personal computer; the monitoring system industrial personal computer receives a powder spreading completion signal sent by the printer industrial personal computer, sends an acquisition command to the acquisition equipment, receives a substrate image returned by the acquisition equipment, judges whether a defect area exists in the substrate image, generates a corresponding defect detection result if the defect area exists, and sends the defect detection result to the printer industrial personal computer; and the printer industrial personal computer sends a powder spreading completion signal to the monitoring system industrial personal computer and receives a defect detection result sent by the monitoring system industrial personal computer. By implementing the method provided by the embodiment of the invention, the problem that the powder laying process and the powder laying quality cannot be monitored in real time can be solved.

Description

Defect identification method, system and medium for 3DP metal printing powder spreading process
Technical Field
The invention relates to the field of additive manufacturing, in particular to a defect identification method, a defect identification system and a defect identification medium for a 3DP metal printing powder spreading process.
Background
Along with the development of industrial technology, 3D printing (also called additive manufacturing) gradually appears in the field of vision of people, and the 3D printing can realize complex structural parts which are difficult to process and produce by the traditional process without a traditional model, so that the production process is effectively simplified, and the production period is shortened. Among them, 3DP (binder jetting) printing is a technique for constructing an object by layer-by-layer printing by bonding and molding material powder using a binder based on a digital model file. The drops are selectively sprayed on the surface of the powder bed in the printing process, and then the powder mixed with the binder and the curing agent is paved on the powder bed, so that the selected area is cured and molded. However, in the powder spreading process of actual printing, abnormal powder spreading can occur, powder is accumulated layer by layer due to the abnormal situation, and damage to parts is easy to cause, but the defect of powder spreading in the prior art is mainly monitored by naked eyes of staff, so that the task amount of the staff is increased, and the defect of powder spreading is easy to miss.
Disclosure of Invention
The embodiment of the invention provides a defect identification method, a defect identification system and a defect identification medium for a 3DP metal printing powder spreading process, which are used for solving the problems that the powder spreading process cannot be monitored in real time and the powder spreading quality cannot be ensured by human eye detection.
In a first aspect, an embodiment of the present invention provides a defect identification method for a 3DP metal printing and powder spreading process, which is applied to a defect identification system for a 3DP metal printing and powder spreading process, where the defect identification system for a 3DP metal printing and powder spreading process includes an acquisition device, a monitoring system industrial personal computer and a printer industrial personal computer, and includes: the acquisition equipment receives an acquisition instruction sent by the monitoring system industrial personal computer, acquires a substrate image of the powder bed according to the acquisition instruction, and sends the substrate image to the monitoring system industrial personal computer; the monitoring system industrial personal computer receives a powder spreading completion signal sent by the printer industrial personal computer, sends the acquisition command to the acquisition equipment, receives the substrate image returned by the acquisition equipment, detects whether a defect area exists in the substrate image, generates a corresponding defect detection result if the defect area exists, and sends the defect detection result to the printer industrial personal computer; and the printer industrial personal computer sends the powder laying completion signal to the monitoring system industrial personal computer and receives the defect detection result sent by the monitoring system industrial personal computer.
In a second aspect, an embodiment of the present invention further provides a defect identification system for a 3DP metal printing powder spreading process, including: the acquisition equipment is used for receiving an acquisition instruction sent by the monitoring system industrial personal computer, acquiring a substrate image of the powder bed according to the acquisition instruction, and sending the substrate image to the monitoring system industrial personal computer; the monitoring system industrial personal computer is used for receiving a powder spreading completion signal sent by the printer industrial personal computer, sending the acquisition command to the acquisition equipment, receiving the substrate image returned by the acquisition equipment, detecting whether a defect area exists in the substrate image, generating a corresponding defect detection result if the defect area exists, and sending the defect detection result to the printer industrial personal computer; the printer industrial personal computer is used for sending the powder laying completion signal to the monitoring system industrial personal computer and receiving the defect detection result sent by the monitoring system industrial personal computer.
In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the method when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, implement the above-described method.
The embodiment of the invention provides a defect identification method, a defect identification system and a defect identification medium for a 3DP metal printing powder spreading process. The defect identification system applied to the 3DP metal printing powder spreading process comprises acquisition equipment, a monitoring system industrial personal computer and a printer industrial personal computer, and the method comprises the following steps: the acquisition equipment receives an acquisition instruction sent by the monitoring system industrial personal computer, acquires a substrate image of the powder bed according to the acquisition instruction, and sends the substrate image to the monitoring system industrial personal computer; the monitoring system industrial personal computer receives a powder spreading completion signal sent by the printer industrial personal computer, sends the acquisition command to the acquisition equipment, receives the substrate image returned by the acquisition equipment, detects whether a defect area exists in the substrate image, generates a corresponding defect detection result if the defect area exists, and sends the defect detection result to the printer industrial personal computer; and the printer industrial personal computer sends a powder spreading completion signal to the monitoring system industrial personal computer and receives the defect detection result sent by the monitoring system industrial personal computer. According to the embodiment of the invention, the substrate image after powder spreading is obtained through the acquisition equipment, the monitoring system industrial personal computer detects defects of the substrate image to generate an image detection result, and the printer industrial personal computer controls the powder spreading equipment to operate according to the defect information displayed by the image detection result, so that the powder spreading quality is monitored in real time, the manual monitoring is replaced, and the problems of poor printing quality, part printing failure and the like caused by incapability of monitoring the printing powder spreading process in real time are solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system structure of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 3 is a schematic sub-flowchart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 4 is a schematic sub-flowchart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 5 is a schematic sub-flowchart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 6 is a defect type diagram of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 7 is a schematic sub-flowchart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 8 is a schematic sub-flowchart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 9 is a flowchart of a defect identification system for a 3DP metal printing powder spreading process according to an embodiment of the present invention;
FIG. 10 is a schematic block diagram of a defect identification system for a 3DP metal printing powder spreading process provided by an embodiment of the invention;
fig. 11 is a schematic block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. Embodiments of the present invention are intended to be within the scope of the present invention as defined by the appended claims.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1, fig. 1 is a schematic system structure diagram of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention. The defect identification method of the 3DP metal printing powder spreading process in the embodiment is applied to a defect identification system of the 3DP metal printing powder spreading process, the defect identification system of the 3DP metal printing powder spreading process comprises an acquisition device 1, a powder spreading device 3, a substrate 4, a printer industrial personal computer 5, a display 6, a monitoring system industrial personal computer 7 and a printer cabin 8, the acquisition device 1 comprises an industrial camera 2, the powder spreading device 3 comprises a powder spreading roller, the substrate 4 and the industrial camera 2 are arranged in the printer cabin 8, the printer industrial personal computer 5 is respectively connected with the powder spreading roller and the monitoring system industrial personal computer 7, and the monitoring system industrial personal computer 7 is connected with the industrial camera 2. According to the defect recognition system applied to the 3DP metal printing powder spreading process, the problem that in the prior art, frame loss defect detection is inaccurate and the forming quality of printed parts cannot be guaranteed can be solved.
The embodiment provides a defect identification system of 3DP metal printing shop powder process, its characterized in that, the system includes acquisition facility, shop's powder equipment, base plate, printer industrial computer, display, monitored control system industrial computer, printer cabin, acquisition facility includes the industry camera, shop's powder equipment includes shop's powder stick, shop's powder stick base plate with the industry camera is located the printer cabin, printer industrial computer respectively with shop's powder stick with monitored control system industrial computer is connected, monitored control system industrial computer is connected with the industry camera.
Specifically, as shown in fig. 1, the collecting device 1 includes the industrial camera 2, the industrial camera performs image collecting operation after laying powder, in this embodiment, the industrial camera 2 selects a camera of the metacin DMK33G002, and the lens selects the metacin BW1222M. According to the technical index requirement that the resolution of the image is more than or equal to 2000W, after the model camera and the lens are combined, as the chip of the camera is square, when the distance from the substrate to the lens is 571mm and the field of view of the lens is 630mm by 430.4mm, so as to meet the minimum field of view requirement, the minimum field of view requirement is not limited, and the image of the substrate 4 can be clearly acquired. The industrial personal computer 7 of the monitoring system is a grinding industrial personal computer. The acquisition equipment 1 is connected with the monitoring system industrial personal computer 7 through a USB interface, and the monitoring system industrial personal computer 7 is responsible for sending an image acquisition command to the acquisition equipment 1 and analyzing and processing the acquired substrate image; the monitor system display 6 is connected to the monitor system industrial personal computer 7, and can display the pictures shot by the industrial camera 2 and the defect results processed by the image algorithm; the printer industrial personal computer 5 is connected with the monitoring system industrial personal computer 7, the printer industrial personal computer 5 is responsible for sending a command after powder spreading to the monitoring industrial personal computer 7, and the monitoring industrial personal computer 7 is responsible for sending a defect detection analysis result to the printer industrial personal computer 5; the printer industrial control computer 5 controls the powder spreading equipment 3 and is responsible for sending powder spreading commands to the powder spreading rollers; the printer chamber 8 houses the powder roller 3 and the printer substrate 4. Through the defect identification system of the 3DP metal printing powder spreading process, the function of checking the powder spreading quality in the 3DP metal printing process in real time can be realized, and the powder spreading accuracy can be ensured by re-spreading or alarming when the powder spreading is defective.
Fig. 2 is a schematic flow chart of a defect identification method in a 3DP metal printing powder spreading process according to an embodiment of the present invention. As shown, the method includes the following steps S110-S130.
S110, the acquisition equipment receives an acquisition instruction sent by the monitoring system industrial personal computer, acquires a substrate image of the powder bed according to the acquisition instruction, and sends the substrate image to the monitoring system industrial personal computer.
In this embodiment, the collecting device is used to collect the image of the powder spread on the substrate, where the collecting device includes the industrial camera, and the industrial camera is a special image collecting device, and is used to collect the image data with high resolution, and can transmit the image data to the computer system for processing. Specifically, after the printer industrial personal computer sends a powder spreading command to the powder spreading roller and powder spreading of the powder spreading roller is completed, the monitoring system industrial personal computer sends an acquisition command to the industrial camera, wherein the acquisition command is a photographing command. The industrial camera shoots and collects images on the substrate, and after the image collection is completed, the industrial camera sends the substrate images to the industrial personal computer of the monitoring system. The substrate image on the substrate is acquired to know the powder spreading condition on the substrate, so that whether the powder spreading condition is defective or not can be conveniently identified.
S120, the monitoring system industrial personal computer receives a powder spreading completion signal sent by the printer industrial personal computer, sends the collection instruction to the collection equipment, receives the substrate image returned by the collection equipment, detects whether a defect area exists in the substrate image, generates a corresponding defect detection result if the defect area exists, and sends the defect detection result to the printer industrial personal computer.
In this embodiment, the monitoring system industrial personal computer is responsible for sending an acquisition instruction and analyzing and processing the acquisition instruction. Specifically, the industrial personal computer is a special computer device for industrial control, is widely applied to various industrial occasions, such as an automatic production line, a robot, logistics transportation and the like, and helps operators to monitor and control the production process. In this embodiment, a grinding industrial personal computer may be selected, which is not limited thereto. The defect detection result is an analysis result of the defect area, wherein the defect detection result includes: the location, size, and type of defect area. After the powder spreading equipment finishes powder spreading, the monitoring system industrial personal computer receives a signal of powder spreading completion, sends an acquisition instruction to an industrial camera, and receives the substrate image returned by the acquisition equipment. And the monitoring system industrial personal computer analyzes the defects of the substrate image by using a detection algorithm according to preset software so as to detect whether the defect area exists in the substrate image, if so, a corresponding defect detection result is generated according to the position, the size and the type of the defect area, and the defect detection result is sent to the printer industrial personal computer. And detecting whether the substrate image has a defect area or not by detecting the substrate image so as to judge whether the powder spreading is successful or not, and generating a corresponding defect detection result, thereby facilitating the subsequent processing of the defects by a system.
In one embodiment, as shown in FIG. 3, the step S120 includes steps S1201-S1202;
s1201, preprocessing of noise reduction, gray level conversion and size adjustment is carried out on the substrate image;
s1202, acquiring the preprocessed substrate image.
In this embodiment, the noise reduction refers to a method for removing interference of the digital image from the imaging device or external environmental noise in transmission, and the common noise reduction methods include: the methods such as the mean filter, the median filter, and the wavelet denoising are not limited thereto. The gray level conversion is a method for changing the gray level value of each pixel in the source image point by point according to a certain target condition and a certain conversion relation, the gray level conversion method comprises gray level linear conversion, nonlinear conversion and other methods, the display effect of the glue spraying image to be identified is finally clearer, and the method is not limited. The resizing refers to unifying the size of the substrate image with the size in a preset algorithm model applied later, wherein the resizing includes but is not limited to image normalization and vectorization. The embodiment further includes converting the processed substrate image into the substrate image with a preset format, specifically converting the preprocessed substrate image into a 4D Tensor format and loading the converted substrate image onto a GPU. In summary, a pre-processed substrate image in the 4D Tensor format is finally obtained, where the pre-processed substrate image is a Tensor. The substrate image is subjected to gray level conversion, image homogenization, size adjustment pretreatment and format conversion, so that defect information in the substrate image is locally improved, the recognition degree is improved, and defect detection is conveniently carried out according to the acquired substrate image.
In one embodiment, as shown in fig. 4, the step S120 further includes steps S121-S122;
s121, detecting a defect area of the preprocessed substrate image according to a preset detection algorithm;
s122, if the defect area exists, generating a defect detection result according to the defect area.
In this embodiment, the preset detection algorithm is a basic algorithm model based on a uiet++ algorithm model, where the uiet++ algorithm model is formed by adopting a classical encoder and decoder structure, and the preset detection algorithm model based on the uiet++ algorithm model can enable the preset detection algorithm model to have better feature extraction capability, so that a detection result is also more accurate. Specifically, the pre-processed substrate image is subjected to algorithm detection, and firstly, the substrate image is subjected to image enhancement by an algorithm, so that defect information in the substrate image is locally improved, the recognition degree is improved, the next feature extraction is facilitated, the feature extraction can be understood as mapping from a high-dimensional image space to a low-dimensional feature space, and the effectiveness of the feature extraction has great influence on the recognition precision, the calculation complexity, the robustness and the like of the follow-up defect target. Feature extraction and multi-layer feature fusion are carried out to obtain feature graphs with different scales, the feature graphs are sent to a detection module in the preset detection algorithm to detect a defect area, the mask graph of the defect area is obtained, and a Json file of the defect area information is obtained according to the mask graph of the defect area. And determining the defect detection result according to the Json file. For example, if the substrate image has no defect, the defect detection result may display "0" and send the result to the printer industrial personal computer, and the printer industrial personal computer may notify the powder spreading device to perform the next layer of powder spreading, and if the substrate image has a defect, the defect detection result may display "1" and send the determined defect detection result to the printer industrial personal computer. And detecting the defect area of the preprocessed substrate image according to a preset detection algorithm, and generating a defect detection result according to the defect area, so that the next step is conveniently executed according to the defect area judgment, the whole process does not need manual judgment, and the detection efficiency of the powder spreading image is improved.
In one embodiment, as shown in fig. 5, the step S122 further includes steps S1221 to S1223;
s1221, generating the defect area mask map according to the preset detection algorithm;
s1222, determining defect information of the defect area according to the defect area mask map;
s1223, generating the defect detection result according to the defect information.
In this embodiment, the defect Mask pattern is a Mask pattern, which is a binary image having the same size as the substrate image. Each pixel in the defect mask map is either 0, or 1, 2 or 3, wherein 0 indicates that the pixel point is a background, that is, the powder spreading image to be detected at the position has no defect, and other pixel values indicate the corresponding defect. As shown in the defect type diagram of fig. 6, the preset pixel value of the scratch defect is 1, the pixel value 2 represents the powder pile defect, the pixel value 3 represents the defect surface defect, for example, the preset detection algorithm model judges that the defect is the scratch defect, and the defect mask diagram is composed of pixels 0 and 1. The defect information is information of the defect area, the defect information comprises positions, sizes and types of the defect area of the defect, the defect information of the defect area can be determined according to pixel values and the number of the pixel values in the mask map of the defect area and the positions of the pixel points, and the defect detection result is generated according to the defect information. If the defect area exists, a corresponding defect detection result is generated according to the defect area, the defect detection result is sent to the printer industrial personal computer, visual data is sent to the printer industrial personal computer, and the printer industrial personal computer can conveniently and quickly know the defect area.
In one embodiment, as shown in FIG. 7, the step S1222 further includes steps S12221-S12222;
s12221, acquiring a contour coordinate set of the defect area according to the defect area mask map;
s12222, determining the defect information according to the contour coordinate set and a preset standard image.
In this embodiment, the preset standard image is a powder paving image to be printed by the powder paving device. The contour coordinate set of the defect area refers to a set of coordinates of a position where the contour of the defect area is located. It should be noted that the defect area mask map should be consistent with the coordinate system and the size of the preset standard image. For example, a relative coordinate system is established with the bottom right corner of the substrate as the origin of coordinates. Since the substrate image is resized, the obtained defect region mask pattern is also resized, and thus the substrate image and the defect region mask pattern need to be resized to a size before the preprocessing step, for example, the substrate image is scaled by one time in the preprocessing stage, and the size of the substrate image and the defect region mask pattern should be enlarged by one time when the contour coordinate set of the defect region is obtained. After unifying the size and the coordinates, mapping the outline coordinate set of the defect area to the preset standard image, so as to obtain the information of the defect area, such as the position, the size and the like of the defect. And determining the defect information according to the contour coordinate set and a preset standard image, so that the obtained defect information is more accurate, and defect information errors caused by factors such as size adjustment and the like are avoided.
S130, the printer industrial personal computer sends a powder spreading completion signal to the monitoring system industrial personal computer and receives the defect detection result sent by the monitoring system industrial personal computer.
In this embodiment, the printer industrial personal computer is a computer device that controls the powder paving device. According to the technological parameters of the to-be-printed process input by a worker, the printer industrial personal computer sends a powder spreading command to the powder spreading equipment to command the powder spreading roller to start powder spreading, when the powder spreading roller finishes powder spreading, the printer industrial personal computer sends a powder spreading completion signal to the monitoring system industrial personal computer so that the monitoring system industrial personal computer can acquire the powder spreading image and detect defects of the powder spreading image, and the printer industrial personal computer receives the defect detection results. And knowing whether the powder spreading defect exists or not according to the defect detection result. The powder paving quality is monitored in real time, manual monitoring is effectively replaced, and the problems of poor printing quality, part printing failure and the like caused by incapability of monitoring the printing powder paving process in real time are solved.
In one embodiment, as shown in FIG. 8, the step S130 includes steps S131-S132;
s131, judging whether to execute powder spreading again or not according to the received defect detection result and the part to be printed;
and S132, if the powder spreading is not performed again, an alarm is sent.
In this embodiment, the received defect detection result and the part to be printed determine whether to perform powder spreading again, specifically, the position, size and type of the defect area can be known according to the defect detection result, for example, when the part to be printed is a high-precision part, if a defect exists, the part to be printed is affected, and the printing device is controlled to send an alarm to inform a staff to perform investigation; if the equipment to be printed is a non-high-precision part and can receive defects in a preset range, the size of the defect area is in the preset range, and the printing equipment can be controlled to continue laying powder; or the defect area and the inside of the part to be printed can influence the quality of the part to be printed, and the printing equipment is controlled to send out an alarm to inform a worker to check. According to the defect detection result, whether the defect area affects the quality of the part to be printed can be judged, and workers can be timely informed of adjusting process parameters to avoid printing quality defects.
In order to further clearly understand the process of defect identification in the 3DP metal printing powder spreading according to the embodiment of the present invention, the following description is made by a workflow:
fig. 9 is a flowchart of a defect recognition system in a 3DP metal printing powder spreading process according to an embodiment of the present invention. As shown in fig. 9, the printer industrial personal computer receives the input configuration parameters to control the powder paving device to perform powder paving, if powder paving is completed, a powder paving completion signal is sent to the monitoring system industrial personal computer, the monitoring system industrial personal computer sends an acquisition instruction to the industrial camera, the industrial camera acquires a powder paving image on the substrate, acquires the substrate image and sends the substrate image to the monitoring system industrial personal computer, the monitoring system industrial personal computer performs defect detection on the substrate image, generates a defect detection result and sends the defect detection result to the printer industrial personal computer, and the printer industrial personal computer judges whether the substrate image has a powder paving defect according to the defect detection result, if the powder paving defect does not exist, controls the powder paving device to perform powder paving again, and if the powder paving defect exists, the powder paving is stopped, and an alarm is sent to wait for a worker to check. The powder paving quality is monitored in real time, manual monitoring is effectively replaced, and the problems of poor printing quality, part printing failure and the like caused by incapability of monitoring the printing powder paving process in real time are solved.
Fig. 10 is a schematic block diagram of a defect identification system 200 for a 3DP metal printing powder spreading process according to an embodiment of the present invention. As shown in fig. 10, the present invention further provides a defect identification method system for the 3DP metal printing powder spreading process, corresponding to the defect identification method for the 3DP metal printing powder spreading process. The defect recognition system of the 3DP metal printing powder spreading process comprises a unit for executing the defect recognition method of the 3DP metal printing powder spreading process, and the system can be configured in a desktop computer, a tablet computer, a portable computer, and other terminals. Specifically, referring to fig. 10, the defect recognition system for the 3DP metal printing powder spreading process includes an acquisition device 210, a monitoring system industrial personal computer 220 and a printer industrial personal computer 230.
The collection device 210 is configured to receive a collection instruction sent by the monitoring system industrial personal computer, collect a substrate image of the powder bed according to the collection instruction, and send the substrate image to the monitoring system industrial personal computer.
The monitoring system industrial personal computer 220 is configured to receive a powder spreading completion signal sent by the printer industrial personal computer, send the collection instruction to the collection device, receive the substrate image returned by the collection device, detect whether a defect area exists in the substrate image, generate a corresponding defect detection result if the defect area exists, and send the defect detection result to the printer industrial personal computer.
In an embodiment, the monitoring system industrial personal computer 220 includes a preprocessing unit and an obtaining unit.
The preprocessing unit is used for preprocessing noise reduction, gray level conversion and size adjustment of the substrate image;
and the acquisition unit is used for acquiring the preprocessed substrate image.
In an embodiment, the monitoring system industrial personal computer 220 includes a detection unit and a generation unit.
The detection unit is used for detecting the defect area of the preprocessed substrate image according to a preset detection algorithm;
and the generating unit is used for generating the defect detection result according to the defect area if the defect area exists.
In an embodiment, the generating unit includes a mask map generating unit, a determining unit, and a generating subunit.
A mask map generating unit, configured to generate the defect area mask map according to the preset detection algorithm;
a determining unit configured to determine defect information of the defect area according to the defect area mask map;
and the generation subunit is used for generating the defect detection result according to the defect information.
In an embodiment, the determining unit comprises a set acquisition unit and a determining subunit.
A set acquisition unit, configured to acquire a set of contour coordinates of the defect area according to the mask map of the defect area;
and the determining subunit is used for determining the defect information according to the contour coordinate set and a preset standard image.
The printer industrial personal computer 230 is configured to send a powder spreading completion signal to the monitoring system industrial personal computer, and receive the defect detection result sent by the monitoring system industrial personal computer.
In one embodiment, the printer console 230 includes a judging unit and an alarm unit.
The judging unit is used for judging whether to execute powder spreading again or not according to the received defect detection result and the part to be printed;
and the alarm unit is used for sending an alarm if the powder spreading is not performed again.
It should be noted that, as those skilled in the art can clearly understand, the defect recognition system 200 and the specific implementation process of each device and each unit in the 3DP metal printing powder spreading process can refer to the corresponding descriptions in the foregoing method embodiments, and for convenience and brevity of description, the description is omitted here.
The defect recognition system of the 3DP metallic printing powder spreading process described above may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 11.
Referring to fig. 11, fig. 11 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a server, and the server may be a stand-alone server or may be a server cluster formed by a plurality of servers.
With reference to FIG. 11, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a defect identification method for a 3DP metallic printing powder laying process.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform a defect identification method for a 3DP metal printing powder laying process.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device 500 to which the present application is applied, and that a particular computer device 500 may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 502 is adapted to run a computer program 5032 stored in a memory for implementing the steps of the above method.
It should be appreciated that in embodiments of the present application, the processor 502 may be a central processing unit (Central Processing Unit, CPU), the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions, when executed by a processor, cause the processor to perform the steps of the method as described above.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (3)

1. The defect identification method for the 3DP metal printing powder spreading process is characterized by being applied to a defect identification system for the 3DP metal printing powder spreading process, wherein the defect identification system for the 3DP metal printing powder spreading process comprises acquisition equipment, a monitoring system industrial personal computer and a printer industrial personal computer, and the method comprises the following steps:
the acquisition equipment receives an acquisition instruction sent by the monitoring system industrial personal computer, acquires a substrate image of the powder bed according to the acquisition instruction, and sends the substrate image to the monitoring system industrial personal computer;
the monitoring system industrial personal computer receives a powder spreading completion signal sent by the printer industrial personal computer, sends the acquisition command to the acquisition equipment, receives the substrate image returned by the acquisition equipment, carries out pretreatment of noise reduction, gray level conversion and size adjustment on the substrate image to obtain the substrate image in the pretreated 4D Tensor format, wherein the size adjustment refers to unifying the size of the substrate image with the size required by the preset detection algorithm, detects whether a defect area exists in the substrate image, generates a corresponding defect detection result if the defect area exists, and sends the defect detection result to the printer industrial personal computer, and the step of detecting whether the defect area exists in the substrate image comprises the following steps: performing defect area detection on the preprocessed substrate image according to a preset detection algorithm, and if the defect area exists, generating a defect detection result according to the defect area, wherein the step of generating the defect detection result according to the defect area comprises the following steps: generating a defect area mask map according to the preset detection algorithm; determining defect information of the defect area according to the defect area mask map, generating the defect detection result according to the defect information, and determining the defect information of the defect area according to the defect area mask map comprises the following steps: acquiring a contour coordinate set of the defect area according to the defect area mask map, determining the defect information according to the contour coordinate set and a preset standard image, wherein the preset standard image is a powder paving image to be printed by powder paving equipment, the contour coordinate set of the defect area is a set of coordinates of a position where a contour of the defect area is located, the coordinate system and the size of the defect area mask map are consistent, and mapping the contour coordinate set of the defect area to the preset standard image after the coordinate system and the size are unified to acquire the defect information of the defect area;
the printer industrial personal computer sends the powder spreading completion signal to the monitoring system industrial personal computer, receives the defect detection result sent by the monitoring system industrial personal computer, and judges whether to perform powder spreading again according to the received defect detection result and the part to be printed; if the powder spreading is not performed again, an alarm is sent out.
2. The defect identification system for the 3DP metal printing powder spreading process is characterized by comprising acquisition equipment, a monitoring system industrial personal computer and a printer industrial personal computer; wherein,
the acquisition equipment is used for receiving an acquisition instruction sent by the monitoring system industrial personal computer, acquiring a substrate image of the powder bed according to the acquisition instruction, and sending the substrate image to the monitoring system industrial personal computer;
the monitoring system industrial personal computer is configured to receive a powder spreading completion signal sent by the printer industrial personal computer, send the collection instruction to the collection device, receive the substrate image returned by the collection device, perform pretreatment of noise reduction, gray level conversion and size adjustment on the substrate image to obtain the substrate image in the pretreated 4D Tensor format, wherein the size adjustment refers to unifying the size of the substrate image with the size required by the preset detection algorithm, detect whether a defect area exists in the substrate image, generate a corresponding defect detection result if the defect area exists, and send the defect detection result to the printer industrial personal computer, and the step of detecting whether the defect area exists in the substrate image includes: performing defect area detection on the preprocessed substrate image according to a preset detection algorithm, and if the defect area exists, generating a defect detection result according to the defect area, wherein the step of generating the defect detection result according to the defect area comprises the following steps: generating a defect area mask map according to the preset detection algorithm; determining defect information of the defect area according to the defect area mask map, generating the defect detection result according to the defect information, and determining the defect information of the defect area according to the defect area mask map comprises the following steps: acquiring a contour coordinate set of the defect area according to the defect area mask map, determining the defect information according to the contour coordinate set and a preset standard image, wherein the preset standard image is a powder paving image to be printed by powder paving equipment, the contour coordinate set of the defect area is a set of coordinates of a position where a contour of the defect area is located, the coordinate system and the size of the defect area mask map are consistent, and mapping the contour coordinate set of the defect area to the preset standard image after the coordinate system and the size are unified to acquire the defect information of the defect area;
the printer industrial personal computer is used for sending the powder spreading completion signal to the monitoring system industrial personal computer, receiving the defect detection result sent by the monitoring system industrial personal computer, and judging whether to perform powder spreading again or not according to the received defect detection result and the part to be printed; if the powder spreading is not performed again, an alarm is sent out.
3. A storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of claim 1.
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