CN107855687A - A kind of increasing material manufacturing fusion penetration on-line checking and control method and system - Google Patents

A kind of increasing material manufacturing fusion penetration on-line checking and control method and system Download PDF

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Publication number
CN107855687A
CN107855687A CN201710966381.2A CN201710966381A CN107855687A CN 107855687 A CN107855687 A CN 107855687A CN 201710966381 A CN201710966381 A CN 201710966381A CN 107855687 A CN107855687 A CN 107855687A
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fusion penetration
penetration
welded
theoretical
material manufacturing
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CN107855687B (en
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夏卫生
龚福建
万柴志
杨帅
夏盼盼
黄增涛
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Huazhong University of Science and Technology
Ezhou Institute of Industrial Technology Huazhong University of Science and Technology
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Huazhong University of Science and Technology
Ezhou Institute of Industrial Technology Huazhong University of Science and Technology
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K37/00Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K9/00Arc welding or cutting
    • B23K9/095Monitoring or automatic control of welding parameters
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K9/00Arc welding or cutting
    • B23K9/32Accessories

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Plasma & Fusion (AREA)
  • Optics & Photonics (AREA)
  • Butt Welding And Welding Of Specific Article (AREA)

Abstract

The invention discloses a kind of increasing material manufacturing fusion penetration on-line checking and control method and system, wherein, one position to be welded is welded according to technological parameter;The infrared image in molten bath is gathered, image procossing is carried out to crater image, obtains the molten wide at molten bath position and the maximum temperature difference in fusion penetration direction;Theorize fusion penetration computation model, by calculating parameter input hypothesis fusion penetration computation model, obtains theoretical fusion penetration;The artificial neural network that the maximum temperature difference input of theoretical fusion penetration, molten wide and fusion penetration direction is trained, artificial neural network export actual fusion penetration;The difference of actual fusion penetration and preset need fusion penetration is calculated, when difference exceedes preset range, according to difference adjusting process parameter, then next position to be welded is welded.On-line real-time measuremen welding penetration is realized, on line real time control welding penetration realizes intelligent increasing material manufacturing, and automaticity is high.

Description

A kind of increasing material manufacturing fusion penetration on-line checking and control method and system
Technical field
The present invention relates to welding penetration detection and control field, more particularly, to a kind of increasing material manufacturing fusion penetration on-line checking and Control method and system.
Background technology
The it is proposed of increasing material manufacturing concept starts from the late 1980s, and China then begins one's study the beginning of the nineties.By The time in short more than 20 year, this technology have achieved rapid development, in Aero-Space, minute manufacturing, biomedical engineering etc. The application prospect of numerous areas is very wide.Amount of penetration in electric arc increasing material manufacturing is an important ginseng for being related to welding quality Number.On line real time control fusion penetration is studied, it is significant for increasing material manufacturing automation, intelligent development.
The method and a kind of ultrasound of a kind of ultrasonic phase array measurement U rib weld penetrations survey penetrating detection system and disclose utilization The method of ultrasound examination weld penetration, but ultrasound examination needs device to be contacted with workpiece, influences product size precision;Together When, moved with position while welding, device is also required to move, it is difficult to which implementation process is synchronous, and intelligent manufacturing is difficult.A kind of weld penetration Detection method discloses the method using magnetic induction signal intensity detection fusion penetration, and the method is difficult to high temperature weld seam detection.
At present, also without the method for a kind of fine on-line real-time measuremen of energy and on line real time control weld penetration occur.
The content of the invention
It is an object of the invention to overcome above-mentioned technical deficiency, a kind of increasing material manufacturing fusion penetration on-line checking and controlling party are proposed Method and system, solves above-mentioned technical problem of the prior art.
To reach above-mentioned technical purpose, technical scheme provides a kind of increasing material manufacturing fusion penetration on-line checking and control Method, including:
S1, according to technological parameter one position to be welded is welded;
S2, collection crater image, crater image are the infrared image at the molten bath position of welding, and image is carried out to crater image Processing, obtain topographical information, temperature distribution information, the pixel value of crater image;Establish the first correspondence of temperature value and pixel value Relation, establish the second corresponding relation of distance value and pixel value;Molten bath is obtained according to the first corresponding relation and the second corresponding relation The molten wide at position and the maximum temperature difference in fusion penetration direction;
S3, theorize fusion penetration computation model, by calculating parameter input hypothesis fusion penetration computation model, obtains theoretical fusion penetration;
S4, the artificial neural network for training the maximum temperature difference input of theoretical fusion penetration, molten wide and fusion penetration direction, artificial god Actual fusion penetration is exported through network;
S5, the difference for calculating actual fusion penetration and preset need fusion penetration, when difference is in preset range, to next to be welded Position performs step S1-S5;When difference exceedes preset range, according to difference adjusting process parameter, then to next socket part to be welded Position performs step S1-S5.
The present invention also provides a kind of increasing material manufacturing fusion penetration on-line checking and control system, including:
Welding module:One position to be welded is welded according to technological parameter;
Image obtains and processing module:Crater image is gathered, crater image is the infrared image at the molten bath position welded, right Crater image carries out image procossing, obtains topographical information, temperature distribution information, the pixel value of crater image;Establish temperature value and First corresponding relation of pixel value, establish the second corresponding relation of distance value and pixel value;According to the first corresponding relation and second Corresponding relation obtains the molten wide at molten bath position and the maximum temperature difference in fusion penetration direction;
Theoretical fusion penetration computing module:Theorize fusion penetration computation model, by calculating parameter input hypothesis fusion penetration computation model, Obtain theoretical fusion penetration;
Actual fusion penetration computing module:The maximum temperature difference input of theoretical fusion penetration, molten wide and fusion penetration direction is trained artificial Neutral net, artificial neural network export actual fusion penetration;
Technical arrangement plan module:The difference of actual fusion penetration and preset need fusion penetration is calculated, when difference is in preset range It is interior, perform welding module successively to next position to be welded, image obtains and processing module, theoretical fusion penetration computing module, reality The operation of fusion penetration computing module, technical arrangement plan module;When difference exceedes preset range, according to difference adjusting process parameter, Then welding module is performed successively to next position to be welded, image obtains and processing module, theoretical fusion penetration computing module, reality The operation of fusion penetration computing module, technical arrangement plan module.
Compared with prior art, beneficial effects of the present invention include:Collection crater image is simultaneously handled image, is established Theoretical fusion penetration computation model, obtains theoretical fusion penetration, and actual fusion penetration is obtained using artificial neural network, accomplishes that on-line real-time measuremen welds Connect fusion penetration;When the difference for welding actual fusion penetration and preset need fusion penetration exceedes preset range, adjusting process parameter, then to follow-up Position to be welded is welded, and realizes on line real time control welding penetration, realizes intelligent increasing material manufacturing.
Brief description of the drawings
Fig. 1 is a kind of increasing material manufacturing fusion penetration on-line checking provided by the invention and control method flow chart;
Fig. 2 is a kind of increasing material manufacturing fusion penetration on-line checking and Control system architecture block diagram provided by the invention.
In accompanying drawing:1st, increasing material manufacturing fusion penetration on-line checking and control system, 11, welding module, 12, image obtains and processing Module, 13, theoretical fusion penetration computing module, 14, actual fusion penetration computing module, 15, technical arrangement plan module.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
The invention provides a kind of increasing material manufacturing fusion penetration on-line checking and control method, including:
S1, according to technological parameter one position to be welded is welded;
S2, collection crater image, crater image are the infrared image at the molten bath position of welding, and image is carried out to crater image Processing, obtain topographical information, temperature distribution information, the pixel value of crater image;Establish the first correspondence of temperature value and pixel value Relation, establish the second corresponding relation of distance value and pixel value;Molten bath is obtained according to the first corresponding relation and the second corresponding relation The molten wide at position and the maximum temperature difference in fusion penetration direction;
S3, theorize fusion penetration computation model, by calculating parameter input hypothesis fusion penetration computation model, obtains theoretical fusion penetration;
S4, the artificial neural network for training the maximum temperature difference input of theoretical fusion penetration, molten wide and fusion penetration direction, artificial god Actual fusion penetration is exported through network;
S5, the difference for calculating actual fusion penetration and preset need fusion penetration, when difference is in preset range, to next to be welded Position performs step S1-S5;When difference exceedes preset range, according to difference adjusting process parameter, then to next socket part to be welded Position performs step S1-S5.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S1:
The technological parameter is the default some physical quantitys for influenceing welding quality;
Specifically, technological parameter includes welding condition and auxiliary welding condition, welding condition includes weldering The combination of process parameters that electric current, weldingvoltage, speed of welding etc. have an impact welding quality is connect, auxiliary welding condition includes Joint environment temperature, welding water cooling amount, the flow of process gas and pressure etc. have an impact the combination of process parameters of welding quality.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S2:
Using the picture signal at infrared image acquisition device collection molten bath position, picture signal is converted into data signal Afterwards, then image procossing is carried out, obtains topographical information, temperature distribution information, the pixel value of crater image.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S3:
Joint welding heat source mathematical modeling and welding heat transfer mathematical modeling are so as to establishing the theoretical fusion penetration computation model;
It can utilize welding heat source mathematical modeling and welding heat transfer model will specifically, theoretical fusion penetration computation model includes all The combination that fusion penetration is solved by way of calculating;Preferably, Gauss thermal source welding mathematical modeling and semi-infinite body wink can be combined When heat point source welding heat transfer mathematical modeling so as to the fusion penetration computation model that theorizes;The theory that theoretical fusion penetration computation model solves The error of fusion penetration and actual fusion penetration should be within the scope of rational.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S3:
The calculating parameter includes wlding, the detail parameters of welding equipment, and predetermined physical parameter.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S4:
Artificial neural network can be BP (back propagation) artificial neuron primitive network, or optimization changes All BP artificial neural networks that fusion penetration can be solved after entering.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S5:
When the actual fusion penetration of a position to be welded and the difference of preset need fusion penetration exceed preset range, generated according to difference Data are adjusted, can continue to weld the position to be welded according to adjustment data so that the actual fusion penetration of the position to be welded With the difference of preset need fusion penetration within a preset range.
The present invention also provides a kind of increasing material manufacturing fusion penetration on-line checking and control system 1, including:
Welding module 11:One position to be welded is welded according to technological parameter;
Image obtains and processing module 12:Crater image is gathered, crater image is the infrared image at the molten bath position welded, Image procossing is carried out to crater image, obtains topographical information, temperature distribution information, the pixel value of crater image;Establish temperature value With the first corresponding relation of pixel value, the second corresponding relation of distance value and pixel value is established;According to the first corresponding relation and Two corresponding relations obtain the molten wide at molten bath position and the maximum temperature difference in fusion penetration direction;
Theoretical fusion penetration computing module 13:Theorized fusion penetration computation model, and calculating parameter input hypothesis fusion penetration is calculated into mould Type, obtain theoretical fusion penetration;
Actual fusion penetration computing module 14:The people that the maximum temperature difference input of theoretical fusion penetration, molten wide and fusion penetration direction is trained Artificial neural networks, artificial neural network export actual fusion penetration;
Technical arrangement plan module 15:The difference of actual fusion penetration and preset need fusion penetration is calculated, when difference is in default model In enclosing, welding module is performed successively to next position to be welded, image obtains and processing module, theoretical fusion penetration computing module, reality The operation of border fusion penetration computing module, technical arrangement plan module;When difference exceedes preset range, joined according to difference adjusting process Number, then next position to be welded is performed successively welding module, image obtain with processing module, theoretical fusion penetration computing module, The operation of actual fusion penetration computing module, technical arrangement plan module.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control system 1, in welding module 11:
The technological parameter is the default some physical quantitys for influenceing welding quality;
Specifically, technological parameter includes welding condition and auxiliary welding condition, welding condition includes weldering The combination of process parameters that electric current, weldingvoltage, speed of welding etc. have an impact welding quality is connect, auxiliary welding condition includes Joint environment temperature, welding water cooling amount, the flow of process gas and pressure etc. have an impact the combination of process parameters of welding quality.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control system 1, in theoretical fusion penetration computing module 13:
Joint welding heat source mathematical modeling and welding heat transfer mathematical modeling are so as to establishing the theoretical fusion penetration computation model;
It can utilize welding heat source mathematical modeling and welding heat transfer model will specifically, theoretical fusion penetration computation model includes all The combination that fusion penetration is solved by way of calculating;Preferably, Gauss thermal source welding mathematical modeling and semi-infinite body wink can be combined When heat point source welding heat transfer mathematical modeling so as to the fusion penetration computation model that theorizes;The theory that theoretical fusion penetration computation model solves The error of fusion penetration and actual fusion penetration should be within the scope of rational.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control system 1, in theoretical fusion penetration computing module 13:
The calculating parameter includes wlding, the detail parameters of welding equipment, and predetermined physical parameter.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control system 1, in actual fusion penetration computing module 14:
Artificial neural network can be BP (back propagation) artificial neuron primitive network, or optimization changes All BP artificial neural networks that fusion penetration can be solved after entering.
Compared with prior art, beneficial effects of the present invention include:Collection crater image is simultaneously handled image, is established Theoretical fusion penetration computation model, obtains theoretical fusion penetration, and actual fusion penetration is obtained using artificial neural network, accomplishes that on-line real-time measuremen welds Connect fusion penetration;When the difference for welding actual fusion penetration and preset need fusion penetration exceedes preset range, adjusting process parameter, then to follow-up Position to be welded is welded, and realizes on line real time control welding penetration, realizes intelligent increasing material manufacturing.
The embodiment of present invention described above, is not intended to limit the scope of the present invention..Any basis The various other corresponding changes and deformation that the technical concept of the present invention is made, should be included in the guarantor of the claims in the present invention In the range of shield.

Claims (10)

1. a kind of increasing material manufacturing fusion penetration on-line checking and control method, it is characterised in that including:
S1, according to technological parameter one position to be welded is welded;
S2, collection crater image, the crater image are the infrared image at the molten bath position of welding, and the crater image is carried out Image procossing, obtain topographical information, temperature distribution information, the pixel value of the crater image;Establish temperature value and pixel value First corresponding relation, establish the second corresponding relation of distance value and pixel value;According to first corresponding relation and described second Corresponding relation obtains the molten wide at molten bath position and the maximum temperature difference in fusion penetration direction;
S3, theorized fusion penetration computation model, and calculating parameter is inputted into the theoretical fusion penetration computation model, obtains theoretical fusion penetration;
S4, the artificial neural network for training the input of the theoretical fusion penetration, molten wide and the maximum temperature difference in fusion penetration direction, artificial god Actual fusion penetration is exported through network;
S5, the difference for calculating the actual fusion penetration and preset need fusion penetration, when difference is in preset range, to next to be welded Position performs step S1-S5;When difference exceedes preset range, according to difference adjusting process parameter, then to next socket part to be welded Position performs step S1-S5.
2. increasing material manufacturing fusion penetration on-line checking as claimed in claim 1 and control method, it is characterised in that in step S1:
The technological parameter is the default some physical quantitys for influenceing welding quality.
3. increasing material manufacturing fusion penetration on-line checking as claimed in claim 1 and control method, it is characterised in that in step S3:
Joint welding heat source mathematical modeling and welding heat transfer mathematical modeling are so as to establishing the theoretical fusion penetration computation model.
4. increasing material manufacturing fusion penetration on-line checking as claimed in claim 1 and control method, it is characterised in that in step S3:
The calculating parameter includes wlding, the detail parameters of welding equipment, and predetermined physical parameter.
5. increasing material manufacturing fusion penetration on-line checking as claimed in claim 1 and control method, it is characterised in that in step S4:
The artificial neural network uses BP (back propagation) artificial neural network.
6. a kind of increasing material manufacturing fusion penetration on-line checking and control system, it is characterised in that including:
Welding module:One position to be welded is welded according to technological parameter;
Image obtains and processing module:Crater image is gathered, the crater image is the infrared image at the molten bath position welded, right The crater image carries out image procossing, obtains topographical information, temperature distribution information, the pixel value of the crater image;Establish First corresponding relation of temperature value and pixel value, establish the second corresponding relation of distance value and pixel value;According to described first pair The maximum temperature difference in the molten wide that molten bath position is obtained with second corresponding relation and fusion penetration direction should be related to;
Theoretical fusion penetration computing module:Theorized fusion penetration computation model, and calculating parameter is inputted into the theoretical fusion penetration computation model, Obtain theoretical fusion penetration;
Actual fusion penetration computing module:The input of the theoretical fusion penetration, molten wide and the maximum temperature difference in fusion penetration direction is trained artificial Neutral net, artificial neural network export actual fusion penetration;
Technical arrangement plan module:The difference of the actual fusion penetration and preset need fusion penetration is calculated, when difference is in preset range It is interior, perform welding module successively to next position to be welded, image obtains and processing module, theoretical fusion penetration computing module, reality The operation of fusion penetration computing module, technical arrangement plan module;When difference exceedes preset range, according to difference adjusting process parameter, Then welding module is performed successively to next position to be welded, image obtains and processing module, theoretical fusion penetration computing module, reality The operation of fusion penetration computing module, technical arrangement plan module.
7. increasing material manufacturing fusion penetration on-line checking as claimed in claim 6 and control system, it is characterised in that in welding module:
The technological parameter is the default some physical quantitys for influenceing welding quality.
8. increasing material manufacturing fusion penetration on-line checking as claimed in claim 6 and control system, it is characterised in that theoretical fusion penetration calculates In module:
Joint welding heat source mathematical modeling and welding heat transfer mathematical modeling are so as to establishing the theoretical fusion penetration computation model.
9. increasing material manufacturing fusion penetration on-line checking as claimed in claim 6 and control system, it is characterised in that theoretical fusion penetration calculates In module:
The calculating parameter includes wlding, the detail parameters of welding equipment, and predetermined physical parameter.
10. increasing material manufacturing fusion penetration on-line checking as claimed in claim 6 and control system, it is characterised in that actual fusion penetration meter Calculate in module:
The artificial neural network uses BP (back propagation) artificial neural network.
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Cited By (9)

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CN110472698A (en) * 2019-08-22 2019-11-19 四川大学 Increase material based on the metal of depth and transfer learning and shapes fusion penetration real-time predicting method
CN110490866A (en) * 2019-08-22 2019-11-22 四川大学 Metal based on depth characteristic fusion increases material forming dimension real-time predicting method
CN112719528A (en) * 2020-12-23 2021-04-30 深圳市兴科瑞拓科技有限公司 Intelligent welding method and device based on gas shielded welding machine
CN112916987A (en) * 2021-02-02 2021-06-08 北京理工大学 Arc additive manufacturing online monitoring and real-time control method and system
WO2021128343A1 (en) * 2019-12-27 2021-07-01 Siemens Aktiengesellschaft Method and apparatus for product quality inspection
CN113369697A (en) * 2021-06-22 2021-09-10 深圳信息职业技术学院 Laser polishing online detection system and method
CN114799594A (en) * 2022-04-01 2022-07-29 中国第一汽车股份有限公司 Welding quality control method for square module bus
CN115781077A (en) * 2022-12-28 2023-03-14 日照鸿本机械制造有限公司 Deformation prevention control method and system for long-shaft multi-point welding
CN116586761B (en) * 2023-05-11 2023-11-03 广州卫亚汽车零部件有限公司 Method and system for on-line monitoring and controlling laser welding penetration

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110472698A (en) * 2019-08-22 2019-11-19 四川大学 Increase material based on the metal of depth and transfer learning and shapes fusion penetration real-time predicting method
CN110490866A (en) * 2019-08-22 2019-11-22 四川大学 Metal based on depth characteristic fusion increases material forming dimension real-time predicting method
WO2021128343A1 (en) * 2019-12-27 2021-07-01 Siemens Aktiengesellschaft Method and apparatus for product quality inspection
US11651587B2 (en) 2019-12-27 2023-05-16 Siemens Aktiengesellschaft Method and apparatus for product quality inspection
CN112719528A (en) * 2020-12-23 2021-04-30 深圳市兴科瑞拓科技有限公司 Intelligent welding method and device based on gas shielded welding machine
CN112916987A (en) * 2021-02-02 2021-06-08 北京理工大学 Arc additive manufacturing online monitoring and real-time control method and system
CN112916987B (en) * 2021-02-02 2022-02-15 北京理工大学 Arc additive manufacturing online monitoring and real-time control method and system
CN113369697A (en) * 2021-06-22 2021-09-10 深圳信息职业技术学院 Laser polishing online detection system and method
CN114799594A (en) * 2022-04-01 2022-07-29 中国第一汽车股份有限公司 Welding quality control method for square module bus
CN115781077A (en) * 2022-12-28 2023-03-14 日照鸿本机械制造有限公司 Deformation prevention control method and system for long-shaft multi-point welding
CN116586761B (en) * 2023-05-11 2023-11-03 广州卫亚汽车零部件有限公司 Method and system for on-line monitoring and controlling laser welding penetration

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