CN107855687B - 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
CN107855687B
CN107855687B CN201710966381.2A CN201710966381A CN107855687B CN 107855687 B CN107855687 B CN 107855687B CN 201710966381 A CN201710966381 A CN 201710966381A CN 107855687 B CN107855687 B CN 107855687B
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fusion penetration
welding
penetration
theoretical
material manufacturing
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CN107855687A (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 checkings and control method and system, wherein is welded according to technological parameter to a position to be welded;The infrared image for acquiring molten bath carries out image procossing 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 maximum temperature difference of theoretical fusion penetration, molten wide and fusion penetration direction is inputted into trained artificial neural network, artificial neural network exports practical fusion penetration;The difference for calculating practical fusion penetration and preset need fusion penetration, when difference is more than preset range, according to difference adjusting process parameter, then to the welding of next position to be welded.On-line real-time measuremen welding penetration is realized, on line real time control welding penetration realizes intelligent increasing material manufacturing, high degree of automation.

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 penetrations to detect and control field, more particularly, to a kind of increasing material manufacturing fusion penetration on-line checking and Control method and system.
Background technique
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 aerospace, 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 penetration survey penetrating detection system and disclose utilization The method of ultrasound examination weld penetration, but ultrasound examination needs device to contact with workpiece, influences product size precision;Together When, mobile with position while welding, device is also required to move, it is difficult to realize that process is synchronous, 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.
Currently, occurring the method for a kind of energy fine on-line real-time measuremen and on line real time control weld penetration not yet.
Summary 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 solve above-mentioned technical problem in the prior art.
To reach above-mentioned technical purpose, technical solution of the present invention provides a kind of increasing material manufacturing fusion penetration on-line checking and control Method, comprising:
S1, one position to be welded is welded according to technological parameter;
S2, acquisition crater image, crater image are the infrared image at the molten bath position of welding, carry out image to crater image Processing, obtains topographical information, temperature distribution information, the pixel value of crater image;Establish temperature value and pixel value first is corresponding Relationship establishes the second corresponding relationship of distance value and pixel value;Molten bath is obtained according to the first corresponding relationship and the second corresponding relationship 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 maximum temperature difference of theoretical fusion penetration, molten wide and fusion penetration direction is inputted to trained artificial neural network, artificial mind Practical fusion penetration is exported through network;
S5, the difference for calculating practical fusion penetration and preset need fusion penetration, when difference is in preset range, to next to be welded Position executes step S1-S5;When difference is more than preset range, according to difference adjusting process parameter, then to next socket part to be welded Position executes step S1-S5.
The present invention also provides a kind of increasing material manufacturing fusion penetration on-line checking and control systems, comprising:
Welding module: one position to be welded is welded according to technological parameter;
Image obtains and processing module: acquisition crater image, crater image is the infrared image at the molten bath position of welding, 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 relationship of pixel value establishes the second corresponding relationship of distance value and pixel value;According to the first corresponding relationship and second Corresponding relationship 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;
Practical fusion penetration computing module: the maximum temperature difference input of theoretical fusion penetration, molten wide and fusion penetration direction is trained artificial Neural network, artificial neural network export practical fusion penetration;
Technical arrangement plan module: the difference of practical fusion penetration and preset need fusion penetration is calculated, when difference is in preset range It is interior, welding module is successively executed 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 is more than preset range, according to difference adjusting process parameter, Then welding module is successively executed 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, it the beneficial effect comprise that acquiring crater image and handling image, establishes Theoretical fusion penetration computation model, obtains theoretical fusion penetration, obtains practical fusion penetration using artificial neural network, accomplishes that on-line real-time measuremen welds Connect fusion penetration;When the difference for welding practical fusion penetration and preset need fusion penetration is more than preset range, adjusting process parameter, then to subsequent Position to be welded is welded, and on line real time control welding penetration is realized, and realizes intelligent increasing material manufacturing.
Detailed description of the invention
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 attached drawing: 1, increasing material manufacturing fusion penetration on-line checking and control system, 11, welding module, 12, image acquisition and processing Module, 13, theoretical fusion penetration computing module, 14, practical fusion penetration computing module, 15, technical arrangement plan module.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right 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 present invention provides a kind of increasing material manufacturing fusion penetration on-line checking and control methods, comprising:
S1, one position to be welded is welded according to technological parameter;
S2, acquisition crater image, crater image are the infrared image at the molten bath position of welding, carry out image to crater image Processing, obtains topographical information, temperature distribution information, the pixel value of crater image;Establish temperature value and pixel value first is corresponding Relationship establishes the second corresponding relationship of distance value and pixel value;Molten bath is obtained according to the first corresponding relationship and the second corresponding relationship 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 maximum temperature difference of theoretical fusion penetration, molten wide and fusion penetration direction is inputted to trained artificial neural network, artificial mind Practical fusion penetration is exported through network;
S5, the difference for calculating practical fusion penetration and preset need fusion penetration, when difference is in preset range, to next to be welded Position executes step S1-S5;When difference is more than preset range, according to difference adjusting process parameter, then to next socket part to be welded Position executes 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 preset several physical quantitys for influencing welding quality;
Specifically, technological parameter includes welding condition and auxiliary welding condition, welding condition includes weldering The combination of process parameters of the had an impact welding quality such as electric current, weldingvoltage, speed of welding is connect, auxiliary welding condition includes The combination of process parameters of the had an impact welding qualities such as joint environment temperature, welding water cooling amount, the flow of process gas and pressure.
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 acquisition molten bath position, digital signal is converted by picture 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 model and welding heat transfer mathematical model are to establish the theoretical fusion penetration computation model;
Specifically, theoretical fusion penetration computation model includes that all can utilize welding heat source mathematical model and welding heat transfer model will The combination that fusion penetration is solved by way of calculating;Preferably, Gauss heat source welding mathematical model and semi-infinite body wink can be combined When heat point source welding heat transfer mathematical model to theorize fusion penetration computation model;The theory that theoretical fusion penetration computation model solves The error of fusion penetration and practical fusion penetration should be within the scope of reasonable.
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 Into all BP artificial neural networks that can be solved to fusion penetration later.
Increasing material manufacturing fusion penetration on-line checking of the present invention and control method, in step S5:
When a position to be welded practical fusion penetration and preset need fusion penetration difference be more than 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 practical fusion penetration of the position to be welded Within a preset range with the difference of preset need fusion penetration.
The present invention also provides a kind of increasing material manufacturing fusion penetration on-line checking and control systems 1, comprising:
Welding module 11: one position to be welded is welded according to technological parameter;
Image obtains and processing module 12: acquisition crater image, and crater image is the infrared image at the molten bath position of welding, 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 relationship of pixel value, the second corresponding relationship of distance value and pixel value is established;According to the first corresponding relationship and Two corresponding relationships obtain the molten wide at molten bath position and the maximum temperature difference in fusion penetration direction;
Theoretical fusion penetration computing module 13: theorize fusion penetration computation model, and calculating parameter input hypothesis fusion penetration is calculated mould Type obtains theoretical fusion penetration;
Practical fusion penetration computing module 14: the maximum temperature difference of theoretical fusion penetration, molten wide and fusion penetration direction is inputted into trained people Artificial neural networks, artificial neural network export practical fusion penetration;
Technical arrangement plan module 15: calculating the difference of practical fusion penetration and preset need fusion penetration, when difference is in default model In enclosing, welding module is successively executed 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 is more than preset range, according to difference adjusting process ginseng Number, welding module is successively then executed to next position to be welded, image obtain with processing module, theoretical fusion penetration computing module, The operation of practical 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 preset several physical quantitys for influencing welding quality;
Specifically, technological parameter includes welding condition and auxiliary welding condition, welding condition includes weldering The combination of process parameters of the had an impact welding quality such as electric current, weldingvoltage, speed of welding is connect, auxiliary welding condition includes The combination of process parameters of the had an impact welding qualities such as joint environment temperature, welding water cooling amount, the flow of process gas and pressure.
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 model and welding heat transfer mathematical model are to establish the theoretical fusion penetration computation model;
Specifically, theoretical fusion penetration computation model includes that all can utilize welding heat source mathematical model and welding heat transfer model will The combination that fusion penetration is solved by way of calculating;Preferably, Gauss heat source welding mathematical model and semi-infinite body wink can be combined When heat point source welding heat transfer mathematical model to theorize fusion penetration computation model;The theory that theoretical fusion penetration computation model solves The error of fusion penetration and practical fusion penetration should be within the scope of reasonable.
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 practical fusion penetration computing module 14:
Artificial neural network can be BP (back propagation) artificial neuron primitive network, or optimization changes Into all BP artificial neural networks that can be solved to fusion penetration later.
Compared with prior art, it the beneficial effect comprise that acquiring crater image and handling image, establishes Theoretical fusion penetration computation model, obtains theoretical fusion penetration, obtains practical fusion penetration using artificial neural network, accomplishes that on-line real-time measuremen welds Connect fusion penetration;When the difference for welding practical fusion penetration and preset need fusion penetration is more than preset range, adjusting process parameter, then to subsequent Position to be welded is welded, and on line real time control welding penetration is realized, and realizes intelligent increasing material manufacturing.
The above described specific embodiments of the present invention are not intended to limit the scope of the present invention..Any basis Any other various changes and modifications that technical concept of the invention is made should be included in the guarantor of the claims in the present invention It protects in range.

Claims (10)

1. a kind of increasing material manufacturing fusion penetration on-line checking and control method characterized by comprising
S1, one position to be welded is welded according to technological parameter;
S2, acquisition crater image, the crater image are the infrared image at the molten bath position of welding, are carried out to the crater image Image procossing obtains topographical information, temperature distribution information, the pixel value of the crater image;Establish temperature value and pixel value First corresponding relationship establishes the second corresponding relationship of distance value and pixel value;According to first corresponding relationship and described second Corresponding relationship obtains the molten wide at molten bath position and the maximum temperature difference in fusion penetration direction;
S3, theorize fusion penetration computation model, and calculating parameter is inputted the theoretical fusion penetration computation model, obtains theoretical fusion penetration;
S4, the theoretical fusion penetration, molten wide and the maximum temperature difference in fusion penetration direction are inputted into trained artificial neural network, artificial mind Practical fusion penetration is exported through network;
S5, the difference for calculating the practical fusion penetration and preset need fusion penetration, when difference is in preset range, to next to be welded Position executes step S1-S5;When difference is more than preset range, according to difference adjusting process parameter, then to next socket part to be welded Position executes step S1-S5.
2. increasing material manufacturing fusion penetration on-line checking as described in claim 1 and control method, which is characterized in that in step S1:
The technological parameter is the preset several physical quantitys for influencing welding quality, wherein, several physical quantitys include welding Electric current, weldingvoltage and speed of welding.
3. increasing material manufacturing fusion penetration on-line checking as described in claim 1 and control method, which is characterized in that in step S3:
Joint welding heat source mathematical model and welding heat transfer mathematical model are to establish the theoretical fusion penetration computation model.
4. increasing material manufacturing fusion penetration on-line checking as described in claim 1 and control method, which is characterized 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 described in claim 1 and control method, which is characterized 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 characterized by comprising
Welding module: one position to be welded is welded according to technological parameter;
Image obtains and processing module: acquisition crater image, the crater image is the infrared image at the molten bath position of welding, right The crater image carries out image procossing, obtains topographical information, temperature distribution information, the pixel value of the crater image;It establishes First corresponding relationship of temperature value and pixel value establishes the second corresponding relationship of distance value and pixel value;According to described first pair It should be related to the maximum temperature difference of molten wide and fusion penetration direction that molten bath position is obtained with second corresponding relationship;
Theoretical fusion penetration computing module: theorize fusion penetration computation model, and calculating parameter is inputted the theoretical fusion penetration computation model, Obtain theoretical fusion penetration;
Practical fusion penetration computing module: the theoretical fusion penetration, molten wide and the maximum temperature difference input in fusion penetration direction is trained artificial Neural network, artificial neural network export practical fusion penetration;
Technical arrangement plan module: the difference of the practical fusion penetration and preset need fusion penetration is calculated, when difference is in preset range It is interior, welding module is successively executed 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 is more than preset range, according to difference adjusting process parameter, Then welding module is successively executed 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, which is characterized in that in welding module:
The technological parameter is the preset several physical quantitys for influencing welding quality, wherein, several physical quantitys include welding Electric current, weldingvoltage and speed of welding.
8. increasing material manufacturing fusion penetration on-line checking as claimed in claim 6 and control system, which is characterized in that theoretical fusion penetration calculates In module:
Joint welding heat source mathematical model and welding heat transfer mathematical model are to establish the theoretical fusion penetration computation model.
9. increasing material manufacturing fusion penetration on-line checking as claimed in claim 6 and control system, which is characterized 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, which is characterized in that practical fusion penetration meter It calculates in module:
The artificial neural network uses BP (back propagation) artificial neural network.
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Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110490866B (en) * 2019-08-22 2020-05-15 四川大学 Metal additive forming size real-time prediction method based on depth feature fusion
CN110472698B (en) * 2019-08-22 2020-05-29 四川大学 Metal additive forming penetration real-time prediction method based on depth and transfer learning
US11651587B2 (en) 2019-12-27 2023-05-16 Siemens Aktiengesellschaft Method and apparatus for product quality inspection
CN112719528B (en) * 2020-12-23 2022-11-11 深圳市兴科瑞拓科技有限公司 Intelligent welding method and device based on gas shielded welding machine
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
CN113369697B (en) * 2021-06-22 2023-06-09 深圳信息职业技术学院 Laser polishing online detection system and method
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CN115781077B (en) * 2022-12-28 2023-07-25 日照鸿本机械制造有限公司 Deformation-preventing control method and system for long-axis 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

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6084205A (en) * 1997-03-14 2000-07-04 Sandia Corporation Method for enhanced control of welding processes
JP4597040B2 (en) * 2005-11-17 2010-12-15 Dxアンテナ株式会社 Intrusion detection method and intrusion detection system
CN100457353C (en) * 2006-04-25 2009-02-04 南京理工大学 Weld seam appearance, fused bath and seam near-infrared vision integral sensing checkout gear
JP2009125790A (en) * 2007-11-27 2009-06-11 Kobe Steel Ltd Monitoring apparatus of arc welding
CN102323756B (en) * 2011-08-16 2013-08-21 上海交通大学 Laser cladding-based dilution rate uniformity control method and device thereof
EP2851154B1 (en) * 2012-05-15 2019-08-28 Toyota Jidosha Kabushiki Kaisha Welding method, welding device, and battery manufacturing method
JP6108962B2 (en) * 2013-05-30 2017-04-05 日立造船株式会社 Laser welding apparatus having groove monitoring device and groove monitoring method for laser welding device
CN103521890B (en) * 2013-10-12 2015-09-30 王晓宇 Two-sided pair of arc vertical position welding near infrared vision sensing and penetration control device and method
JP2017113789A (en) * 2015-12-24 2017-06-29 アイシン精機株式会社 Laser welding apparatus
CN205342169U (en) * 2016-01-26 2016-06-29 唐山英莱科技有限公司 Open arc welding monitored control system
CN106583927B (en) * 2016-12-13 2018-03-02 苏州大学 A kind of hybrid Laser-Arc Welding on-line monitoring method
CN106909727B (en) * 2017-02-20 2020-05-05 武汉理工大学 Laser welding temperature field finite element simulation method based on BP neural network and genetic algorithm GA
CN107081503A (en) * 2017-05-31 2017-08-22 温州大学 The infrared nondestructive detection device and its Infrared Non-destructive Testing method of a kind of arc-welding quality

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