CN109816633A - A kind of defect monitoring method based on 3D printing system, device and terminal device - Google Patents

A kind of defect monitoring method based on 3D printing system, device and terminal device Download PDF

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Publication number
CN109816633A
CN109816633A CN201811609206.9A CN201811609206A CN109816633A CN 109816633 A CN109816633 A CN 109816633A CN 201811609206 A CN201811609206 A CN 201811609206A CN 109816633 A CN109816633 A CN 109816633A
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China
Prior art keywords
layer
defect
slice
image data
sliced
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CN201811609206.9A
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Chinese (zh)
Inventor
刘鹏宇
许建波
张海东
董银
龙雨
刘旭飞
陈根余
陈焱
高云峰
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Han s Laser Technology Industry Group Co Ltd
Hans Laser Smart Equipment Group Co Ltd
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Han s Laser Technology Industry Group Co Ltd
Hans Laser Smart Equipment Group Co Ltd
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Priority to CN201811609206.9A priority Critical patent/CN109816633A/en
Publication of CN109816633A publication Critical patent/CN109816633A/en
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Abstract

The present invention is suitable for 3D printing technique field, provide a kind of defect monitoring method based on 3D printing system, device and terminal device, method includes obtaining target part to be sliced in i-th layer of verification, and verification is sliced the flat digital slice obtained after the layered slicing treatment of mathematical model for target part;Obtain part slice image data of the target part when being printed for i-th layer;It is sliced according to i-th layer of verification, detects the part defect of i-th layer of part slice image data;Part defect if it exists then obtains the defect type of part defect;It according to defect type, adjusts the first parameter and adjusts curve, defect modification is carried out to i-th layer of part slice, and obtain the image data of modified i-th layer of part slice, detect the part defect of modified i-th layer of part slice image data again.It can be improved defect monitoring precision through the invention, realize that part defect in cycles is actively modified, guarantee the part print quality of 3D printing system.

Description

A kind of defect monitoring method based on 3D printing system, device and terminal device
Technical field
The present invention relates to 3D printing technique field more particularly to a kind of defect monitoring methods based on 3D printing system, dress It sets and terminal device.
Background technique
3D printing technique is to utilize spherical or subsphaeroidal powdery metal or plastic etc. based on threedimensional model file Adhesive material constructs a kind of advanced technology of entity by way of printing layer by layer.Combine computer graphics process, The advantage of the multinomial high-tech such as digital information and control, laser technology, mechanical & electrical technology and material technology, does not need traditional machine Bed, cutter, fixture and other multi-step process can rapidly produce the zero of arbitrarily complicated shape on one device Part, so that part freely quickly manufacture is realized, the difficult problems of many parts with complex structures moldings of effective solution, and reduce Unnecessary cumbersome manufacturing procedure shortens the process-cycle.
Currently, the product of 3D printing is applied to the field of metal processing more and more, it inevitably will appear shadow in print procedure The defect of part performance is rung, in view of the foregoing drawbacks, existing defect monitoring method mostly uses the modes such as image synthesis, gray scale identification It is identified to detect, still, above-mentioned defect monitoring method precision is not high, the specific type of defect cannot be provided, so can not essence It is quasi- according to the automatic adjusting parameter of defect kind, guarantee the product quality of 3D printing.
Summary of the invention
It is a primary object of the present invention to propose that a kind of defect monitoring method based on 3D printing system, device and terminal are set It is standby, it is not high to solve existing 3D printing system defect monitoring precision, the specific type of defect cannot be detected, thus can not essence It is quasi- according to the automatic adjusting parameter of defect kind, guarantee the problem of product quality of 3D printing.
To achieve the above object, first aspect of the embodiment of the present invention provides a kind of defect monitoring side based on 3D printing system Method, comprising:
The verification that target part is obtained at i-th layer is sliced, and the verification slice is that the mathematical model of the target part passes through The flat digital slice obtained after hierarchy slicing processing, wherein i is the positive integer less than or equal to N, and N is mathematical model layering The flat digital obtained after slicing treatment is sliced total number of plies;
Obtain part slice image data of the target part when being printed for i-th layer;
It is sliced according to i-th layer of the verification, detects the part defect of i-th layer of part slice image data;
Part defect if it exists then obtains the defect type of the part defect;
It according to the defect type, adjusts the first parameter and adjusts curve, progress defect is sliced to i-th layer of part and is repaired Change, and obtain the image data of modified i-th layer of part slice, detects modified i-th layer of part slice map again As the part defect of data.
In conjunction with first aspect present invention, in the first embodiment of first aspect present invention, target part is being obtained i-th Before the verification slice of layer, comprising:
The mathematical model is obtained, and obtains the N layer plane number obtained after the layered slicing treatment of the mathematical model Slice, N are positive integer.
In conjunction with first aspect present invention, in the second embodiment of first aspect present invention, obtains the target part and exist After i-th layer of part slice image data when being printed, comprising:
It is sliced according to i-th layer of the verification, detects the scale error of i-th layer of part slice image data;
If the scale error is more than preset range, the second parameter adjustment curve is adjusted, the scale error is reduced, and The image data for obtaining modified i-th layer of part slice detects after the modification i-th layer of part slice image data again Scale error.
In conjunction with the first embodiment and second embodiment of first aspect present invention, the third of first aspect present invention is real It applies in mode, the part defect can not adjust curve adjustment or the scale error by first parameter to be passed through When the second parameter adjustment curve adjustment, stop printing of the target part at i-th layer.
In conjunction with first aspect present invention, in the 4th embodiment of first aspect present invention, obtains the target part and exist I-th layer of part slice image data when being printed, comprising:
According to principle of triangulation, i-th layer of part is sliced using line laser and is carried out by point and line, by line and face Scanning;
The quantity and spacing of scanning element are adjusted, the point cloud data that i-th layer of part is sliced each surface is obtained;
The 3-D image of i-th layer of part slice is synthesized according to the point cloud data;
Wherein, the 3-D image is the image data of i-th layer of part slice.
In conjunction with first aspect present invention, in the 5th embodiment of first aspect present invention, the part defect includes flat Planar defect and stereo defects.
Second aspect of the embodiment of the present invention provides a kind of defect monitoring device based on 3D printing system, comprising:
Verification slice obtains module, is sliced for obtaining target part in i-th layer of verification, the verification slice is described The flat digital slice obtained after the layered slicing treatment of the mathematical model of target part, wherein i is just whole less than or equal to N Number, N are that the flat digital obtained after the mathematical model hierarchy slicing is handled is sliced total number of plies;
Image data acquisition module, for obtaining part sectioning image of the target part when being printed for i-th layer Data;
Detection module detects i-th layer of part slice image data for being sliced according to i-th layer of the verification Part defect;
Judgment module then obtains the defect type of the part defect for part defect if it exists;
Defect modified module, for adjusting the first parameter and adjusting curve, to described i-th layer zero according to the defect type Part slice carries out defect modification, and obtains the image data of modified i-th layer of part slice, detects again described modified The part defect of i-th layer of part slice image data.
It further include flat digital slice in the first embodiment of second aspect of the present invention in conjunction with second aspect of the present invention Obtain module;
The flat digital slice obtains module, for obtaining the mathematical model, and obtains the mathematical model through dividing The N layer plane digital slices obtained after layer slicing treatment, wherein N is positive integer.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in In above-mentioned memory and the computer program that can be run on above-mentioned processor, when above-mentioned processor executes above-mentioned computer program The step of realizing method provided by first aspect as above.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, above-mentioned computer-readable storage Media storage has computer program, and above-mentioned computer program realizes method provided by first aspect as above when being executed by processor The step of.
The embodiment of the present invention proposes a kind of defect monitoring method based on 3D printing system, by by the number of target part Multilayer planar digital slices are obtained after the layered slicing treatment of model, flat digital is sliced as verification slice;It obtains simultaneously Part slice image data of the target part when being printed for i-th layer is sliced in conjunction with i-th layer of verification, detects i-th layer of part The part defect of slice image data is using i-th layer of verification since flat digital slice is nearly identical to physical plane When the part defect of slice i-th layer of part slice image data of verification, it is high that defect monitors precision, and logarithm is not necessarily in checking procedure Word slice is filled and path planning, can directly detect i-th layer of part slice with the presence or absence of part defect and this zero The type of part defect initiatively adjusts the first parameter and adjusts curve, cut to i-th layer of part according to the type of part defect in time Piece carries out defect modification;And the part defect of modified i-th layer of part slice image data is detected again, confirm part defect It is successfully modified, to expeditiously realize that part defect in cycles is actively modified, guarantee the part printing of 3D printing system Quality.
Detailed description of the invention
Fig. 1 is the defect monitoring method implementation process schematic diagram based on 3D printing system that the embodiment of the present invention one provides;
Fig. 2 is the detailed implementation process schematic diagram of step S102 in Fig. 1;
Fig. 3 is the defect monitoring method implementation process schematic diagram provided by Embodiment 2 of the present invention based on 3D printing system;
Fig. 4 is the defect apparatus structure schematic diagram based on 3D printing system that the embodiment of the present invention three provides.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do There is also other identical elements in the process, method of element, article or device.
Herein, using the suffix for indicating such as " module ", " component " or " unit " of element only for advantageous In explanation of the invention, there is no specific meanings for itself.Therefore, " module " can be used mixedly with " component ".
In subsequent description, inventive embodiments serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
Embodiment one
As shown in Figure 1, the embodiment of the invention provides the defect monitoring method based on 3D printing system, including following step It is rapid:
S101, verification slice of the target part at i-th layer is obtained, the verification slice is the digital mould of the target part The flat digital slice obtained after the layered slicing treatment of type, wherein wherein i is the positive integer less than or equal to N, and N is the number The flat digital obtained after the processing of word model hierarchy slicing is sliced total number of plies.
In above-mentioned steps S101, available N layer plane number after the layered slicing treatment of the mathematical model of target part Word is sliced, and selects i-th layer therein in this step.
In one embodiment, before above-mentioned steps S101, may include:
The mathematical model is obtained, and obtains the N layer plane number obtained after the layered slicing treatment of the mathematical model Slice, wherein N is positive integer.
In a particular application, flat digital slice is to carry out slicing treatment hierarchical model obtained to mathematical model, Thickness is smaller, therefore flat digital slice is nearly identical to plane, also can be more even if not being filled to it and path planning Accurately a certain planar structure feature in characterization mathematical model.
S102, part slice image data of the target part when being printed for i-th layer is obtained.
In above-mentioned steps S102, i-th layer of part slice image data when being printed can be for arbitrarily can be anti- Reflect the data of part piece cutting structure.
As shown in Fig. 2, the embodiment of the present invention schematically illustrates the detailed implementation process of above-mentioned steps S102, step S102 may include:
S1021, according to principle of triangulation, i-th layer of part is sliced using line laser and is carried out by point and line, by line And the scanning in face.
In above-mentioned steps S1021, line laser can be blue light.
S1022, the quantity and spacing for adjusting scanning element obtain the point cloud data that i-th layer of part is sliced each surface.
In above-mentioned steps S1022, the quantity and spacing of scanning element can be set according to demand, as part is more multiple When miscellaneous, the quantity of scanning element is increased, spacing reduces, and is sliced each surface in i-th layer of part and forms scanning element, obtains i-th layer zero Part is sliced the point cloud data on each surface.
S1023, the 3-D image that i-th layer of part slice is synthesized according to the point cloud data.
In above-mentioned steps S1023, the 3-D image of point cloud data synthesis can really reflect that i-th layer of part is cut The case where each surface of piece, and the difference in height that i-th layer of part is sliced each surface any part can be read out, thus auxiliary judgement I layers of part are sliced the Forming Quality on each surface.
In a particular application, the 3-D image synthesized by point cloud data can also monitor to be sliced each surface in i-th layer of part The quality of powdering technique.
In above-mentioned steps S1021 into step S1023, the 3-D image is the image of i-th layer of part slice Data.
S103, it is sliced according to i-th layer of the verification, detects the part defect of i-th layer of part slice image data.
In above-mentioned steps S103, on the basis of i-th layer of part of acquisition is sliced the Forming Quality on each surface, by i-th layer Part slice is sliced with i-th layer of verification to be compared, and can detect i-th layer of part slice image data from another point of view Part defect.
In a particular application, the 3-D image synthesized according to point cloud data obtains the image data of i-th layer of part slice, It can intuitively see the surface forming of part slice.Based on this image data, print i-th layer of part can be sliced each table Face individually extracts, and compares with i-th layer of verification slice, the comparison of realization theory model and practical printing effect, thus On the basis of identifying that i-th layer of part is sliced the Forming Quality on each surface, to identify the defect in structure.
In one embodiment, i-th layer of part is sliced each surface and individually extracts, and is sliced and carries out pair with i-th layer of verification Than when, the images operation logic mathematical algorithm such as fitting operation, Boolean calculation can be used.
S104, if it exists part defect then obtain the defect type of the part defect.
In a particular application, the part defect includes planar disfigurement and stereo defects.
In practical applications, planar disfigurement includes crackle, unfused, superfusion;Stereo defects include warpage, nodularization, splashing Excessively, it is serious to glue powder for boundary and surface.
In one embodiment, part defect if it does not exist then returns and obtains target part and cut in the verification of i+1 layer Piece obtains part slice image data of the target part when i+1 layer is printed, and continues to test i+1 layer part slice The part defect of image data.
In embodiments of the present invention, when i-th layer of part slice does not print and modify completion, i+1 layer part slice is not beaten Print.
S105, the first parameter adjustment curve is adjusted according to the defect type, i-th layer of part is sliced and is carried out Defect modification, and the image data of modified i-th layer of part slice is obtained, modified i-th layer of part is detected again The part defect of slice image data.
In above-mentioned steps S105, different defect types, corresponding the first different parameter adjusts curve, when part slice When defect type is mismatched with the first parameter adjustment curve set at this time, then the ginseng in the first parameter adjustment curve is adjusted Number makes this first parameter adjustment curve be suitable for current defect type.
Part is sliced after carrying out defect modification, obtains the image data of modified part slice, return step S103, Continue to test the part defect of i-th layer of part slice image data.
Defect monitoring method provided in an embodiment of the present invention based on 3D printing system, by by the digital mould of target part Multilayer planar digital slices are obtained after the layered slicing treatment of type, are sliced the i-th layer plane digital slices as verification;It obtains simultaneously Part slice image data of the target part when being printed for i-th layer is taken, is sliced in conjunction with i-th layer of verification, detects i-th layer zero The part defect of part slice image data is using i-th layer of school since flat digital slice is nearly identical to physical plane When testing the part defect of slice i-th layer of part slice image data of verification, high checking precision, and nothing in checking procedure can achieve Digital slices need to be filled and path planning, can directly detect i-th layer of part slice with the presence or absence of part defect, with And the type of this part defect, it initiatively adjusts the first parameter according to the type of part defect in time and adjusts curve, to i-th layer Part slice carries out defect modification;And the part defect of modified i-th layer of part slice image data is detected again, confirmation zero Part defect is successfully modified, to expeditiously realize that part defect in cycles is actively modified, guarantees the zero of 3D printing system Part print quality.
Embodiment two
As shown in figure 3, the defect monitoring method provided in an embodiment of the present invention based on 3D printing system, including walk as follows It is rapid:
S201, verification slice of the target part at i-th layer is obtained, the verification slice is the digital mould of the target part The flat digital slice obtained after the layered slicing treatment of type, wherein i is the positive integer less than or equal to N, and N is the mathematical model The flat digital obtained after hierarchy slicing processing is sliced total number of plies.
S202, part slice image data of the target part when being printed for i-th layer is obtained.
S2031, it is sliced according to i-th layer of the verification, the part of i-th layer of part slice image data of detection lacks It falls into.
S2041, if it exists part defect then obtain the defect type of the part defect.
S2051, according to the defect type, adjust the first parameter and adjust curve, i-th layer of part slice is carried out scarce Modification is fallen into, and obtains the image data of modified i-th layer of part slice, modified i-th layer of part is detected again and cuts The part defect of picture data.
Above-mentioned steps S201, S202, S2031 are identical as the step S101 to S105 in embodiment one to S2051, the present invention It is repeated no more in embodiment.
In embodiments of the present invention, after above-mentioned steps S202, including step S2032 and step S2042:
S2032, it is sliced according to i-th layer of the verification, the size for detecting i-th layer of part slice image data is missed Difference.
If S2042, the scale error are more than preset range, the second parameter adjustment curve is adjusted, to the reduction ruler Very little error, and the image data of modified i-th layer of part slice is obtained, modified i-th layer of part is detected again to be cut The scale error of picture data.
In above-mentioned steps S2031 and step 2041, i-th layer of part slice image data is obtained by line laser structured light , the image data of i-th layer of verification slice is directly obtained by data slicer, by comparing i-th layer of part slice and i-th layer of verification The image data of slice can be detected out the scale error of i-th layer of part slice.
When scale error size be more than limit range, then need by adjusting the second parameter adjust curve in parameter, subtract Small error.
Part is sliced after carrying out defect modification, return step S2032 detects the size of part slice image data again Error.
In one embodiment, the scale error of i-th layer of part slice within a preset range when, according to described i-th+ 1 layer of verification slice, detects the scale error of the i+1 layer part slice image data.
In conjunction with above-mentioned steps S201, S202, S2031 to S2051;Step S201, S202, S2032 and S2042;The present invention The defect monitoring method based on 3D printing system that embodiment provides, further includes:
S206, the defect type curve adjustment can not be adjusted by first parameter or the scale error can not When adjusting curve by second parameter, stop printing of the target part at i-th layer.
In above-mentioned steps S206, if i-th layer of part slice still has defect after the adjustment curve adjustment of the first parameter, Then explanation adjusts curve by the first parameter and can not overcome one's shortcomings;Or the error of i-th layer of part slice is adjusted through the second parameter Still exceed preset range after curve adjustment, then explanation, which adjusts curve by the second parameter, can not reduce error, should stop printing work Make.
In one embodiment, when stopping print job, by signal an alert.
Defect monitoring method provided in an embodiment of the present invention based on 3D printing system, can accurately identify part defect Type, detecting size error take appropriate measures correction of modifying according to part defect type and scale error, and will repair Part slice after changing is put into detecting step again, it is ensured that part defect is able to reparation, scale error meets preset range, together When, when that can not modify correction part defect and reduce error, stop print job in time, finds solution.
Embodiment three
As shown in figure 4, the embodiment of the invention provides a kind of defect monitoring device 40 based on 3D printing system, comprising:
Verification slice obtains module 41, is sliced for obtaining target part in i-th layer of verification, the verification slice is institute The flat digital slice obtained after the layered slicing treatment of mathematical model of target part is stated, wherein i is just whole less than or equal to N Number, N are that the flat digital obtained after the mathematical model hierarchy slicing is handled is sliced total number of plies;
Image data acquisition module 42, for obtaining part slice map of the target part when being printed for i-th layer As data;
Detection module 43 detects i-th layer of part slice image data for being sliced according to i-th layer of the verification Part defect;
Judgment module 44 then obtains the defect type of the part defect for part defect if it exists;
Defect modified module 45, for adjusting the first parameter and adjusting curve, to described i-th layer according to the defect type Part slice carries out defect modification, and obtains the image data of modified i-th layer of part slice, after detecting the modification again I-th layer of part slice image data part defect.
In one embodiment, the above-mentioned defect monitoring device 40 based on 3D printing system further includes flat digital slice Obtain module;
The flat digital slice obtains module, for obtaining the mathematical model;And the mathematical model is obtained through dividing The N layer plane digital slices obtained after layer slicing treatment, wherein N is positive integer.
The embodiment of the present invention also provide a kind of terminal device include memory, processor and storage on a memory and can be The computer program run on processor when the processor executes the computer program, is realized such as embodiment one and is implemented Each step in the defect monitoring method based on 3D printing system in example two.
The embodiment of the present invention also provides a kind of storage medium, and the storage medium is computer readable storage medium, thereon It is stored with computer program, when the computer program is executed by processor, realizes that embodiment one such as neutralizes in embodiment two Each step in defect monitoring method based on 3D printing system.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations;Although previous embodiment Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation Technical solution documented by example is modified or equivalent replacement of some of the technical features;And these modification or Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all include Within protection scope of the present invention.

Claims (10)

1. a kind of defect monitoring method based on 3D printing system characterized by comprising
The verification that target part is obtained at i-th layer is sliced, and the verification slice is that the mathematical model of the target part is layered The flat digital slice obtained after slicing treatment, wherein i is the positive integer less than or equal to N, and N is the mathematical model hierarchy slicing The flat digital obtained after processing is sliced total number of plies;
Obtain part slice image data of the target part when being printed for i-th layer;
It is sliced according to i-th layer of the verification, detects the part defect of i-th layer of part slice image data;
Part defect if it exists then obtains the defect type of the part defect;
It according to the defect type, adjusts the first parameter and adjusts curve, i-th layer of part is sliced and carries out defect modification, and The image data for obtaining modified i-th layer of part slice, detects modified i-th layer of part slice image data again Part defect.
2. as described in claim 1 based on the defect monitoring method of 3D printing system, which is characterized in that obtaining target part Before i-th layer of verification slice, comprising:
The mathematical model is obtained, and obtains the N layer plane digital slices obtained after the layered slicing treatment of the mathematical model, Its N is positive integer.
3. as described in claim 1 based on the defect monitoring method of 3D printing system, which is characterized in that obtain the target zero After part slice image data of the part when being printed for i-th layer, comprising:
It is sliced according to i-th layer of the verification, detects the scale error of i-th layer of part slice image data;
If the scale error is more than preset range, the second parameter adjustment curve is adjusted, reduces the scale error, and obtain The image data of modified i-th layer of part slice, detects the size of i-th layer of part slice image data after the modification again Error.
4. the defect monitoring method as described in any one of claims 1 to 3 based on 3D printing system, which is characterized in that described Part defect can not adjust curve adjustment or the scale error by first parameter can not pass through the second parameter tune When whole curve adjusts, stop printing of the target part at i-th layer.
5. as described in claim 1 based on the defect monitoring method of 3D printing system, which is characterized in that obtain the target zero Part slice image data of the part when being printed for i-th layer, comprising:
According to principle of triangulation, i-th layer of part is sliced using line laser and swept by point and line, by line and face It retouches;
The quantity and spacing of scanning element are adjusted, the point cloud data that i-th layer of part is sliced each surface is obtained;
The 3-D image of i-th layer of part slice is synthesized according to the point cloud data;
Wherein, the 3-D image is the image data of i-th layer of part slice.
6. as described in claim 1 based on the defect monitoring method of 3D printing system, which is characterized in that the part defect packet Include planar disfigurement and stereo defects.
7. a kind of defect monitoring device based on 3D printing system characterized by comprising
Verification slice obtains module, is sliced for obtaining target part in i-th layer of verification, the verification slice is the target The flat digital slice obtained after the layered slicing treatment of the mathematical model of part, wherein i is the positive integer less than or equal to N, and N is The flat digital obtained after the mathematical model hierarchy slicing processing is sliced total number of plies;
Image data acquisition module, for obtaining part slice image data of the target part when being printed for i-th layer;
Detection module detects the part of i-th layer of part slice image data for being sliced according to i-th layer of the verification Defect;
Judgment module then obtains the defect type of the part defect for part defect if it exists;
Defect modified module, for adjusting the first parameter and adjusting curve, cut to i-th layer of part according to the defect type Piece carries out defect modification, and obtains the image data of modified i-th layer of part slice, detects described modified i-th again The part defect of layer part slice image data.
8. the defect monitoring device based on 3D printing system as claimed in claim 7, which is characterized in that further include flat digital Slice obtains module;
Flat digital slice obtains module, for obtaining the mathematical model, and obtains that the mathematical model is layered to be cut The N layer plane digital slices obtained after piece processing, wherein N is positive integer.
9. a kind of terminal device, which is characterized in that on a memory and can be on a processor including memory, processor and storage The computer program of operation, which is characterized in that when the processor executes the computer program, realize such as claim 1 to 6 Each step in described in any item defect monitoring methods based on 3D printing system.
10. a kind of storage medium, the storage medium is computer readable storage medium, is stored thereon with computer program, It is characterized in that, when the computer program is executed by processor, realizes and beaten as claimed in any one of claims 1 to 6 based on 3D Each step in the defect monitoring method of print system.
CN201811609206.9A 2018-12-27 2018-12-27 A kind of defect monitoring method based on 3D printing system, device and terminal device Pending CN109816633A (en)

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CN112596981A (en) * 2020-12-24 2021-04-02 深圳市汉森软件有限公司 Method, device and equipment for monitoring three-dimensional printing process and storage medium
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CN114863012A (en) * 2022-03-23 2022-08-05 广州赛隆增材制造有限责任公司 Additive manufacturing model information establishing method, device, equipment and storage medium
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CN116540955A (en) * 2023-04-21 2023-08-04 成都飞机工业(集团)有限责任公司 Printing interruption fault processing method, medium and equipment for additive manufacturing
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CN116540955A (en) * 2023-04-21 2023-08-04 成都飞机工业(集团)有限责任公司 Printing interruption fault processing method, medium and equipment for additive manufacturing
CN117372665A (en) * 2023-10-13 2024-01-09 山东创瑞激光科技有限公司 Online repair method for defect model data in additive manufacturing and forming process
CN117372665B (en) * 2023-10-13 2024-04-16 山东创瑞激光科技有限公司 Online repair method for defect model data in additive manufacturing and forming process

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Application publication date: 20190528