CN114789557B - Multi-nozzle printing method of 3d printer - Google Patents
Multi-nozzle printing method of 3d printer Download PDFInfo
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- CN114789557B CN114789557B CN202210530523.1A CN202210530523A CN114789557B CN 114789557 B CN114789557 B CN 114789557B CN 202210530523 A CN202210530523 A CN 202210530523A CN 114789557 B CN114789557 B CN 114789557B
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- 238000007639 printing Methods 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000007921 spray Substances 0.000 claims abstract description 37
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000012549 training Methods 0.000 claims description 20
- 238000012545 processing Methods 0.000 claims description 14
- 239000000463 material Substances 0.000 claims description 13
- 238000012360 testing method Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 10
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 239000010421 standard material Substances 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 5
- 238000010224 classification analysis Methods 0.000 claims description 4
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 claims description 2
- 230000000007 visual effect Effects 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 8
- 238000013461 design Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000010146 3D printing Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000012255 powdered metal Substances 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012800 visualization Methods 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
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
- G06F3/1229—Printer resources management or printer maintenance, e.g. device status, power levels
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
- G06F3/1237—Print job management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Materials Engineering (AREA)
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- Human Computer Interaction (AREA)
- Software Systems (AREA)
- Optics & Photonics (AREA)
- Mechanical Engineering (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
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Abstract
The invention discloses a multi-nozzle printing method of a 3d printer, which comprises the following specific steps: (1) collecting and analyzing printing drawings; (2) collecting and recording 3d printer information; (3) designing a printing scheme and optimizing; (4) Collecting working information of each group of spray heads and performing control analysis; (5) feeding back each group of information to a worker for checking; the invention can ensure the data receiving efficiency of the 3d printer, screen the collected scheme data, improve the data transmission efficiency, avoid transmission blockage caused by data redundancy, optimize the original printing scheme by self by constructing an optimized learning model, greatly improve the printing efficiency, reduce the workload of staff and improve the use experience of the staff.
Description
Technical Field
The invention belongs to the technical field of 3D printers, and particularly relates to a multi-nozzle printing method of a 3D printer.
Background
3D printing, also known as additive manufacturing, is a technology for constructing objects by layer-by-layer printing using a bondable material such as powdered metal or plastic based on digital model files, and 3D printing is usually implemented by using a digital technology material printer. Often in the fields of mould manufacture, industrial design, etc., are used to manufacture models, and later gradually in the direct manufacture of some products, parts have been printed using this technique. The technology is applied to the fields of jewelry, footwear, industrial design, construction, engineering and construction, automobiles, aerospace, dental and medical industries, education, geographic information systems, civil engineering, guns and other fields, the printing process is to firstly model through computer modeling software, then divide the built three-dimensional model into sections layer by layer, namely slices, so as to guide a printer to print layer by layer, small articles can be printed out by the desktop printer because the desktop printer does not need to be operated in a factory, and the design ideas can be automatically and quickly quantized into prototypes with certain structures and functions or parts can be directly manufactured, so that the product design can be quickly evaluated and modified, the market demand response of enterprises is ensured, and the competitive capacity of the enterprises is improved.
The existing 3d printer multi-nozzle printing method has low data transmission efficiency, reduces the data receiving efficiency of the 3d printer, and influences the use experience of staff due to the low printing efficiency of the existing 3d printer multi-nozzle printing method.
Disclosure of Invention
The invention aims to provide a multi-nozzle printing method of a 3d printer, which solves the problems of low data transmission efficiency, low data receiving efficiency of the 3d printer and influence on the use experience of staff in the prior art.
The aim of the invention can be achieved by the following technical scheme:
a3 d printer multi-nozzle printing method comprises the following specific steps:
(1) Collecting and analyzing the printing drawing: the computer receives one or more groups of printing drawings uploaded by staff, and performs classification analysis on each group of collected printing drawings;
(2) Collecting and recording 3d printer information: the computer is in communication connection with the 3d printer, and simultaneously collects all groups of information of the 3d printer, and constructs a parameter recording table to record the information;
(3) Designing a printing scheme and optimizing: the computer is in communication connection with the cloud database and the Internet, collects scheme data of each group, screens and classifies the collected data, and optimizes a printing scheme set by default or a user of the system;
(4) Collecting working information of each group of spray heads and performing control analysis: when the 3d printer works, the computer collects the working states of all groups of spray heads in the work in real time, and meanwhile, analysis and judgment are carried out according to the collected working states of all groups of spray heads;
(5) Feeding back each group of information to a worker for checking: and the related application program processes the data of each group of information acquired and feeds back and displays each group of information after processing.
As a further aspect of the invention: the classification analysis in the step (1) specifically comprises the following steps:
step one: after receiving each group of printing drawings uploaded by a worker, the computer searches whether the same drawing exists in each group of drawings;
step two: if the same drawing exists, counting the number of the drawing, screening out redundant drawing, counting the number of spray heads required by printing each group of drawing paper after the redundant drawing is screened out, and classifying the spray heads according to 1-N, wherein N is the total number of spray heads of the 3d printer.
As a further aspect of the invention: the screening and classifying in the step (3) comprises the following specific steps:
the first step: when the related application software receives each set of scheme data, a data filter is built by itself, and meanwhile, the collected scheme data of each set is imported into the data filter;
and a second step of: the data filter classifies data sources corresponding to each group of scheme data, exports each group of scheme data of different data sources into text files with specified formats, and extracts the obtained scheme data;
and a third step of: and processing scheme data with missing data, repeated data and inconsistent data, and classifying each group of scheme data according to the number of required spray heads.
As a further aspect of the invention: the specific steps of the printing scheme optimization in the step (3) are as follows:
s1.1: constructing an optimized learning model, and simultaneously receiving each group of scheme data and a printing scheme set by default or a user of the system;
s1.2: the optimized learning model integrates and generalizes each group of scheme data into a group of test data sets, processes the original printing scheme into a training data set at the same time, and repeatedly uses the test data sets for multiple times to verify the accuracy of the optimized learning model;
s1.3: predicting each group of data in the test data set once, and outputting the data with the best prediction result as the optimal parameter;
s1.4: carrying out standardized processing on the training data set according to the optimal parameters, and finally conveying the training sample into an optimal learning model, and simultaneously carrying out real-time iterative training on the optimal learning model;
s1.5: drawing a graph according to the training result of the optimized learning model, and carrying out replacement modification on the printing step with abnormality.
As a further aspect of the invention: the analysis and judgment in the step (4) specifically comprises the following steps:
s2.1: the related application programs record corresponding printing schemes into a 3d printer according to the printing drawings of each group, each group of printing spray heads carries out mobile printing according to a printing path designed by the printing scheme, and meanwhile, each group of application programs carry out numbering and marking on each printing spray head;
s2.2: and (3) monitoring the material amount of each group of printing spray heads in real time, comparing the material amount with the standard material amount set by a worker, and judging that the printing spray heads are in an abnormal working state and stopping running the printing spray heads if the standard material amount is exceeded.
As a further aspect of the invention: the feedback in step (5) shows the specific steps as follows:
p1: the application program receives the running path of the printing nozzle, the material consumption, the optimized printing scheme and the printing time of each printing scheme in the running process of the 3d printer;
p2: converting non-binary data in each group of collected data into binary data, and simultaneously carrying out filtering noise reduction and normalization processing on each group of data;
p3: and performing visual processing on each set of processed data, feeding corresponding bar charts, line charts and pie charts back to staff, feeding back abnormal printing nozzle numbers to the staff, and giving an alarm.
The invention has the beneficial effects that:
1. compared with the prior printing scheme, the method and the device have the advantages that whether the same drawing exists in each group of drawings or not is searched, if the same drawing exists, the number of the drawings is counted, the redundant drawing is screened out, after the redundant drawing is screened out, the number of spray heads required by printing each group of drawing is counted and classified, when related application software receives each group of scheme data, a data screener is automatically built, meanwhile, the collected each group of scheme data is imported into the data screener, the data screener classifies data corresponding to each group of scheme data, each group of scheme data of different data sources is exported into text files in a specified format, the obtained scheme data is extracted, then the scheme data with missing data, repeated data and inconsistent data are processed, meanwhile, each group of scheme data is classified according to the number of spray heads required, multiple groups of schemes can be extracted automatically, the redundant data is screened out, the data receiving efficiency of a 3d printer can be ensured, meanwhile, the data transmission efficiency of the collected scheme data can be improved, and transmission blockage caused by data screening is avoided.
2. According to the invention, an optimized learning model is constructed through an application program, meanwhile, each set of scheme data and a printing scheme set by default or a user are received, then the optimized learning model integrates each set of scheme data into a set of test data set, meanwhile, the original printing scheme is processed into a training data set, the test data set is repeatedly used for verifying the precision of the optimized learning model, each set of data in the test data set is predicted once, the data with the best predicted result is output as optimal parameters, the training data set is standardized according to the optimal parameters, finally, a training sample is conveyed into the optimized learning model, meanwhile, the optimized learning model is subjected to real-time iterative training, a graph is drawn according to the training result of the optimized learning model, and abnormal printing steps are replaced and modified.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block flow diagram of a method for printing with multiple nozzles in a 3d printer according to the present invention.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention is a multi-nozzle printing method of a 3d printer, which comprises the following specific steps:
collecting and analyzing the printing drawing: and the computer receives one or more groups of printing drawings uploaded by the staff and performs classification analysis on each group of collected printing drawings.
Specifically, after receiving each group of printing drawings uploaded by a worker, the computer searches whether the same drawing exists in each group of drawings, if so, counts the number of the drawings, screens out redundant drawings, counts the number of nozzles required for printing each group of the drawings after the redundant drawings are screened out, and classifies the number of nozzles required for printing each group of the drawings according to 1-N, wherein N is the total number of the nozzles of the 3d printer.
Collecting and recording 3d printer information: the computer is in communication connection with the 3d printer, and simultaneously collects information of each group of the 3d printer, and constructs a parameter record table to record information.
Referring to fig. 1, the invention is a multi-nozzle printing method of a 3d printer, which comprises the following specific steps:
designing a printing scheme and optimizing: the computer is in communication connection with the cloud database and the Internet, collects scheme data of each group, screens and classifies the collected data, and optimizes a printing scheme set by default or a user.
Specifically, when the related application software receives each set of scheme data, a data filter is built by itself, meanwhile, the collected scheme data of each set are imported into the data filter, the data filter classifies data sources corresponding to the scheme data of each set, each set of scheme data of different data sources is exported to form a text file in a specified format, the obtained scheme data is extracted, then scheme data with missing data, repeated data and inconsistent data are processed, meanwhile, each set of scheme data is classified according to the number of required spray heads, the data receiving efficiency of a 3d printer can be guaranteed, meanwhile, the collected scheme data can be filtered, the data transmission efficiency of the system is improved, and transmission blockage caused by data redundancy is avoided.
Specifically, the application program builds an optimized learning model, receives scheme data of each group and a printing scheme set by default or a user, integrates the scheme data of each group into a set of test data set, processes the original printing scheme into a training data set, and repeatedly uses the test data set to verify the accuracy of the optimized learning model, predicts each group of data in the test data set once, outputs the data with the best prediction result as optimal parameters, performs standardized processing on the training data set according to the optimal parameters, finally transmits a training sample to the optimized learning model, performs real-time iterative training on the optimized learning model, draws a graph according to the training result of the optimized learning model, performs replacement modification on printing steps with abnormality, and can optimize the original printing scheme by itself by building the optimized learning model, thereby greatly improving the printing efficiency, reducing the workload of staff and improving the use experience of the staff.
Collecting working information of each group of spray heads and performing control analysis: when the 3d printer works, the computer collects the working states of all groups of spray heads in the work in real time, and meanwhile, analysis and judgment are carried out according to the collected working states of all groups of spray heads.
Specifically, the related application program inputs the corresponding printing scheme into the 3d printer according to each group of printing drawings, each group of printing spray heads carries out mobile printing according to the printing path designed by the printing scheme, meanwhile, each group of application program carries out numbering and marking on each printing spray head, then the material consumption of each group of printing spray heads is monitored in real time, meanwhile, the material consumption of each group of printing spray heads is compared with the standard material consumption set by a worker, if the standard material consumption is exceeded, the printing spray heads are judged to be in an abnormal working state, and meanwhile, the printing spray heads are stopped to operate.
Feeding back each group of information to a worker for checking: and the related application program processes the data of each group of information acquired and feeds back and displays each group of information after processing.
Specifically, the application program receives the running path of the printing nozzle, the material consumption, the optimized printing scheme and the printing time of each printing scheme in the running process of the 3d printer, converts non-binary data in each group of collected data into binary data, simultaneously carries out filtering noise reduction and normalization processing on each group of data, simultaneously carries out visualization processing on each group of processed data, feeds back corresponding bar graphs, line graphs and pie graphs to staff, feeds back abnormal printing nozzle numbers to the staff, and gives out an alarm.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (3)
1. A3 d printer multi-nozzle printing method is characterized in that: the printing method comprises the following specific steps:
(1) Collecting and analyzing the printing drawing: the computer receives one or more groups of printing drawings uploaded by staff, and performs classification analysis on each group of collected printing drawings; comprising the following steps:
step one: after receiving each group of printing drawings uploaded by a worker, the computer searches whether the same drawing exists in each group of drawings;
step two: if the same drawing exists, counting the number of the drawing, screening out redundant drawing, counting the number of spray heads required by printing each group of drawing paper after the redundant drawing is screened out, and classifying the spray heads according to 1-N, wherein N is the total number of spray heads of the 3d printer;
(2) Collecting and recording 3d printer information: the computer is in communication connection with the 3d printer, and simultaneously collects all groups of information of the 3d printer, and constructs a parameter recording table to record the information;
(3) Designing a printing scheme and optimizing: the computer is in communication connection with the cloud database and the Internet, collects scheme data of each group, screens and classifies the collected data, and optimizes a printing scheme set by default or a user of the system; wherein screening categorizing comprises:
the first step: when the related application software receives each set of scheme data, a data filter is built by itself, and meanwhile, the collected scheme data of each set is imported into the data filter;
and a second step of: the data filter classifies data sources corresponding to each group of scheme data, exports each group of scheme data of different data sources into text files with specified formats, and extracts the obtained scheme data;
and a third step of: processing scheme data with missing data, repeated data and inconsistent data, and classifying each group of scheme data according to the number of required spray heads;
the printing scheme optimization includes:
s1.1: constructing an optimized learning model, and simultaneously receiving each group of scheme data and a printing scheme set by default or a user of the system;
s1.2: the optimized learning model integrates and generalizes each group of scheme data into a group of test data sets, processes the original printing scheme into a training data set at the same time, and repeatedly uses the test data sets for multiple times to verify the accuracy of the optimized learning model;
s1.3: predicting each group of data in the test data set once, and outputting the data with the best prediction result as the optimal parameter;
s1.4: carrying out standardized processing on the training data set according to the optimal parameters, and finally conveying the training sample into an optimal learning model, and simultaneously carrying out real-time iterative training on the optimal learning model;
s1.5: drawing a graph according to the training result of the optimized learning model, and carrying out replacement modification on the printing step with abnormality;
(4) Collecting working information of each group of spray heads and performing control analysis: when the 3d printer works, the computer collects the working states of all groups of spray heads in the work in real time, and meanwhile, analysis and judgment are carried out according to the collected working states of all groups of spray heads;
(5) Feeding back each group of information to a worker for checking: and the related application program processes the data of each group of information acquired and feeds back and displays each group of information after processing.
2. The method for printing by using multiple nozzles of a 3d printer according to claim 1, wherein: the analysis and judgment in the step (4) specifically comprises the following steps:
s2.1: the related application programs record corresponding printing schemes into a 3d printer according to the printing drawings of each group, each group of printing spray heads carries out mobile printing according to a printing path designed by the printing scheme, and meanwhile, each group of application programs carry out numbering and marking on each printing spray head;
s2.2: and (3) monitoring the material amount of each group of printing spray heads in real time, comparing the material amount with the standard material amount set by a worker, and judging that the printing spray heads are in an abnormal working state and stopping running the printing spray heads if the standard material amount is exceeded.
3. The method for printing by using multiple nozzles of a 3d printer according to claim 2, wherein: the feedback in step (5) shows the specific steps as follows:
p1: the application program receives the running path of the printing nozzle, the material consumption, the optimized printing scheme and the printing time of each printing scheme in the running process of the 3d printer;
p2: converting non-binary data in each group of collected data into binary data, and simultaneously carrying out filtering noise reduction and normalization processing on each group of data;
p3: and performing visual processing on each set of processed data, feeding corresponding bar charts, line charts and pie charts back to staff, feeding back abnormal printing nozzle numbers to the staff, and giving an alarm.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105751512A (en) * | 2016-04-20 | 2016-07-13 | 深圳市洛众科技有限公司 | Multi-nozzle high-speed 3D printing apparatus and printing method thereof |
| CN109902379A (en) * | 2019-02-26 | 2019-06-18 | 电子科技大学 | A kind of screening system and its screening technique of ternary solar battery active layer material |
| CN110815812A (en) * | 2018-08-08 | 2020-02-21 | 严铜 | Parallel printing method of multi-nozzle 3D printer |
| CN111688192A (en) * | 2020-06-24 | 2020-09-22 | 西安文理学院 | Selective laser melting main process parameter matching optimization method |
| CN114091131A (en) * | 2021-12-08 | 2022-02-25 | 中国矿业大学 | Optimal scheme decision system for cloth mask support design based on cloud platform |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105751512A (en) * | 2016-04-20 | 2016-07-13 | 深圳市洛众科技有限公司 | Multi-nozzle high-speed 3D printing apparatus and printing method thereof |
| CN110815812A (en) * | 2018-08-08 | 2020-02-21 | 严铜 | Parallel printing method of multi-nozzle 3D printer |
| CN109902379A (en) * | 2019-02-26 | 2019-06-18 | 电子科技大学 | A kind of screening system and its screening technique of ternary solar battery active layer material |
| CN111688192A (en) * | 2020-06-24 | 2020-09-22 | 西安文理学院 | Selective laser melting main process parameter matching optimization method |
| CN114091131A (en) * | 2021-12-08 | 2022-02-25 | 中国矿业大学 | Optimal scheme decision system for cloth mask support design based on cloud platform |
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