CN101118430A - On-line monitoring and optimizing method of processing parameter during process of aluminium alloy fusion welding - Google Patents
On-line monitoring and optimizing method of processing parameter during process of aluminium alloy fusion welding Download PDFInfo
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- CN101118430A CN101118430A CNA2007100497885A CN200710049788A CN101118430A CN 101118430 A CN101118430 A CN 101118430A CN A2007100497885 A CNA2007100497885 A CN A2007100497885A CN 200710049788 A CN200710049788 A CN 200710049788A CN 101118430 A CN101118430 A CN 101118430A
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Abstract
The present invention discloses an optimization method of online monitor and technological parameter in the welded process of the aluminium alloy fusing soldering. The physical dimension and the clearance information of the divided edge of the aluminium alloy waiting for welding are detected instantly online by a visual sensor and converted into the electronic signals, and the electronic signals are converted into the image information through an image grabbing card and then transferred into a process computer. The process computer processes the image information and outputs the control signals to control automatically a welding gun. When the aluminium alloy fusing soldering is in the welded process, the present invention can work automatically out the optimized precise control of the position and the welding parameter of the welding gun according to the specific situation, thereby realizing not only the welding process with high quality and greatly improving the welding quality, but also realizing the automatization, and reducing the influence of the man-made factors.
Description
Technical field
The present invention relates to a kind of on-line monitoring and parameter optimizing method of process of aluminium alloy fusion welding, belong to aluminium alloy welding manufacture field.
Background technology
Aluminium alloy melting welding has obtained using widely in the Aeronautics and Astronautics production as a kind of high efficiency welding method.In aviation, in the production of space product, a small defective all may be brought a huge disaster, and in practical operation, the smoothness of aluminium sheet edge of materials to be welded, angle and the gap between them are not duplicate, all welded by identical welding parameter and welding torch position in the past, perhaps judge by technician's experience, welding parameters and welding torch position are suitably adjusted in welding process, welding quality can not obtain the essence change all the time like this, and efficient is lower, if do over again, not only waste time and energy, and can increase cost because of off quality.Also do not have a kind of efficient ways to address the above problem in front, comprise all reports of relevant solution also such as scientific paper, patent documentation.
Summary of the invention
Purpose of the present invention provides a kind of on-line monitoring and parameter optimizing method that can effectively improve the process of aluminium alloy fusion welding of welding quality with regard to being in order to address the above problem.
The present invention realizes above-mentioned purpose by the following method:
The present invention detects the groove physical dimension and the gap information of aluminium alloy to be welded and is translated into electric signal by the vision sensor online in real time, described electric signal is transferred to industrial computer after being converted into image information by image pick-up card, industrial computer is through handling and export control signal to described image information, and Butt welding gun is controlled automatically.
Concrete optimal technical scheme of the present invention is: described industrial computer handled and exported control signal to image information method is: industrial computer at first carries out accurate Calculation to groove physical dimension in the image information and gap information, where should be in according to scheme accurate Calculation welding gun default in the knowledge base then, and output offset amount signal; Simultaneously, according to default welding parameter model, be optimization aim with the pre-set dimension and the consistance thereof of appearance of weld, the online in real time welding parameter is optimized, and the welding parameter signal that comprise arc voltage, welding current and wire feed rate of output after optimizing.
The method that described industrial computer Butt welding gun is controlled automatically is: Butt welding gun was realized the accurate control of its position after the offset signal of industrial computer output was converted into mechanical motion through stepper motor; The welding parameter signal of industrial computer output transforms the accurate control that the back Butt welding gun is realized its welding parameter through the source of welding current.
Described vision sensor mainly comprises laser instrument and photoelectric commutator.System adopts real-time laser imaging measuring technique, has advantages such as rapid, accurate.
Described industrial computer also carries out the man-machine communication by keyboard, mouse, display and operator.
Described industrial computer is in operational process, also make up the welding cell that comprises information such as processing parameter matching information, groove status information, defect characteristic information and statistic of attribute information, and described welding cell stored, in order to on-line parameter optimization and the quality of weld seam molding monitoring of supporting welding process, and form the process of important welding product and " can write down ", the managerial ability of " can review " of quality thereof.
Beneficial effect of the present invention is:
Because in process of aluminium alloy fusion welding, the present invention can be as the case may be automatically the position of Butt welding gun and welding parameter make accurate control after the optimization, so can realize the high quality welding process, improve welding quality greatly; Can realize robotization again, reduce artificial factor and reduce cost.
Description of drawings
Accompanying drawing is a system constructing block diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is further described in detail:
As shown in drawings, adopt soft, the hardware platform of computing machine of present international standard in " information---knowledge " robotization is handled, the software systems of being developed can be applicable to the on-line optimization of interrupted or continuous production run quality monitoring and technological parameter.Hardware provides the support of data acquisition, processing, storage and demonstration based on industrial computer (comprising sensor, connection interface etc.).
Vision sensor mainly comprises laser instrument and photoelectric commutator (being CCD).System adopts real-time laser imaging measuring technique, has advantages such as rapid, accurate.
Detect the groove physical dimension and the gap information of aluminium alloy to be welded and be translated into electric signal by the vision sensor online in real time, described electric signal is transferred to industrial computer after being converted into image information by image pick-up card.
Next, industrial computer at first carries out accurate Calculation to groove physical dimension in the image information and gap information, where should be in according to scheme accurate Calculation welding gun default in the knowledge base then, and output offset amount signal, Butt welding gun was realized the accurate control (generally speaking for accurately aiming at the centre position in space between the aluminium alloy plate) of its position after this offset signal was converted into mechanical motion through stepper motor (its mechanical motion realizes by crosshead shoe); Simultaneously, industrial computer is according to default welding parameter model, pre-set dimension and consistance thereof with appearance of weld are optimization aim, the online in real time welding parameter is optimized, and the welding parameter signal that comprises arc voltage, welding current and wire feed rate after the output optimization, this welding parameter signal transforms back Butt welding gun through source of welding current and realizes the accurate control of its welding parameter (being arc voltage, welding current and wire feed rate).
Industrial computer carries out the man-machine communication by keyboard, mouse, display and operator.
Industrial computer is in operational process, can make up the welding cell that comprises information such as processing parameter matching information, groove status information, defect characteristic information and statistic of attribute information according to the instruction that predefined scheme or operator send, and described welding cell stored, in order to on-line parameter optimization and the quality of weld seam molding monitoring of supporting welding process, and form the process of important welding product and " can write down ", the managerial ability of " can review " of quality thereof.
Claims (6)
1. the on-line monitoring of a process of aluminium alloy fusion welding and parameter optimizing method, it is characterized in that: detect the groove physical dimension and the gap information of aluminium alloy to be welded and be translated into electric signal by the vision sensor online in real time, described electric signal is transferred to industrial computer after being converted into image information by image pick-up card, industrial computer is through handling and export control signal to described image information, and Butt welding gun is controlled automatically.
2. the on-line monitoring of process of aluminium alloy fusion welding according to claim 1 and parameter optimizing method, it is characterized in that: described industrial computer handled and exported control signal to image information method is: industrial computer at first carries out accurate Calculation to groove physical dimension in the image information and gap information, where should be in according to scheme accurate Calculation welding gun default in the knowledge base then, and output offset amount signal; Simultaneously, according to default welding parameter model, be optimization aim with the pre-set dimension and the consistance thereof of appearance of weld, the online in real time welding parameter is optimized, and the welding parameter signal that comprise arc voltage, welding current and wire feed rate of output after optimizing.
3. the on-line monitoring of process of aluminium alloy fusion welding according to claim 1 and parameter optimizing method, it is characterized in that: the method that described industrial computer Butt welding gun is controlled automatically is: Butt welding gun was realized the accurate control of its position after the offset signal of industrial computer output was converted into mechanical motion through stepper motor; The welding parameter signal of industrial computer output transforms the accurate control that the back Butt welding gun is realized its welding parameter through the source of welding current.
4. the on-line monitoring of process of aluminium alloy fusion welding according to claim 1 and parameter optimizing method, it is characterized in that: described vision sensor mainly comprises laser instrument and photoelectric commutator.
5. the on-line monitoring of process of aluminium alloy fusion welding according to claim 1 and parameter optimizing method, it is characterized in that: described industrial computer also carries out the man-machine communication by keyboard, mouse, display and operator.
6. the on-line monitoring of process of aluminium alloy fusion welding according to claim 1 and parameter optimizing method, it is characterized in that: described industrial computer is in operational process, also make up the welding cell that comprises information such as processing parameter matching information, groove status information, defect characteristic information and statistic of attribute information, and described welding cell is stored.
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2007100497885A CN101118430A (en) | 2007-08-20 | 2007-08-20 | On-line monitoring and optimizing method of processing parameter during process of aluminium alloy fusion welding |
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| CNA2007100497885A CN101118430A (en) | 2007-08-20 | 2007-08-20 | On-line monitoring and optimizing method of processing parameter during process of aluminium alloy fusion welding |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101862874A (en) * | 2010-05-25 | 2010-10-20 | 中国第一汽车集团公司 | Laser brazing clearance compensation method |
| CN103192165A (en) * | 2013-03-20 | 2013-07-10 | 黑龙江科技学院 | Visual-tracking based six-degree-of-freedom welding robot |
| CN103226579A (en) * | 2013-04-03 | 2013-07-31 | 易明辉 | Automobile product welding database system |
| CN105479029A (en) * | 2015-12-30 | 2016-04-13 | 中北大学 | Automatic tracking and monitoring system of direct welding machine |
| CN105729475A (en) * | 2016-04-28 | 2016-07-06 | 迈力（北京）机器人科技有限公司 | Method for establishing tin soldering process libraries and system applied to same |
| CN105855757A (en) * | 2016-05-12 | 2016-08-17 | 中车青岛四方机车车辆股份有限公司 | Real-time welding defect on-line monitoring method and device |
| CN106001849A (en) * | 2016-06-24 | 2016-10-12 | 中车南京浦镇车辆有限公司 | Environment self-adaption welding system and method for intercity rail train bogie |
| CN106425025A (en) * | 2016-11-30 | 2017-02-22 | 湘潭大学 | Automatic fillet weld welding control method and device for laser displacement sensor |
| CN108067714A (en) * | 2017-11-30 | 2018-05-25 | 清华大学 | A kind of thin-walled circumferential weld termination quality on-line monitoring and defect positioning system and method |
| CN108890135A (en) * | 2018-09-21 | 2018-11-27 | 吉林大学 | Laser-vision sensing weld gap detection device and method |
| CN109249167A (en) * | 2018-10-17 | 2019-01-22 | 山西米亚索乐装备科技有限公司 | Encapsulating film welds positioning device |
| CN109530955A (en) * | 2018-12-03 | 2019-03-29 | 江苏科技大学 | The welding technological properties evaluating apparatus and method of gas shield welding wire |
| CN110625628A (en) * | 2019-10-24 | 2019-12-31 | 四川智能创新铸造有限公司 | Method and device for removing nondestructive testing defects of large steel castings |
| CN111037174A (en) * | 2019-12-09 | 2020-04-21 | 中建钢构有限公司 | Welding control method and welding control system |
| CN111822855A (en) * | 2020-05-27 | 2020-10-27 | 南京航空航天大学 | Systematic regulation and control method for double-laser-beam double-side synchronous welding defect suppression of titanium alloy skin-stringer wallboard |
| CN113182651A (en) * | 2021-04-25 | 2021-07-30 | 中建钢构天津有限公司 | H-shaped steel welding method without back chipping |
| CN113664431A (en) * | 2021-08-23 | 2021-11-19 | 河北先行者机器人科技有限公司 | Steel structural part welding arm capable of adjusting posture in real time and adjusting method |
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2007
- 2007-08-20 CN CNA2007100497885A patent/CN101118430A/en active Pending
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101862874A (en) * | 2010-05-25 | 2010-10-20 | 中国第一汽车集团公司 | Laser brazing clearance compensation method |
| CN103192165A (en) * | 2013-03-20 | 2013-07-10 | 黑龙江科技学院 | Visual-tracking based six-degree-of-freedom welding robot |
| CN103226579A (en) * | 2013-04-03 | 2013-07-31 | 易明辉 | Automobile product welding database system |
| CN105479029A (en) * | 2015-12-30 | 2016-04-13 | 中北大学 | Automatic tracking and monitoring system of direct welding machine |
| CN105729475A (en) * | 2016-04-28 | 2016-07-06 | 迈力（北京）机器人科技有限公司 | Method for establishing tin soldering process libraries and system applied to same |
| CN105729475B (en) * | 2016-04-28 | 2017-11-21 | 迈力（北京）机器人科技有限公司 | Soldering tin technique storehouse method for building up and the system applied to the soldering tin technique storehouse |
| CN105855757A (en) * | 2016-05-12 | 2016-08-17 | 中车青岛四方机车车辆股份有限公司 | Real-time welding defect on-line monitoring method and device |
| CN106001849A (en) * | 2016-06-24 | 2016-10-12 | 中车南京浦镇车辆有限公司 | Environment self-adaption welding system and method for intercity rail train bogie |
| CN106425025A (en) * | 2016-11-30 | 2017-02-22 | 湘潭大学 | Automatic fillet weld welding control method and device for laser displacement sensor |
| CN108067714A (en) * | 2017-11-30 | 2018-05-25 | 清华大学 | A kind of thin-walled circumferential weld termination quality on-line monitoring and defect positioning system and method |
| CN108890135A (en) * | 2018-09-21 | 2018-11-27 | 吉林大学 | Laser-vision sensing weld gap detection device and method |
| CN109249167A (en) * | 2018-10-17 | 2019-01-22 | 山西米亚索乐装备科技有限公司 | Encapsulating film welds positioning device |
| CN109530955A (en) * | 2018-12-03 | 2019-03-29 | 江苏科技大学 | The welding technological properties evaluating apparatus and method of gas shield welding wire |
| CN110625628A (en) * | 2019-10-24 | 2019-12-31 | 四川智能创新铸造有限公司 | Method and device for removing nondestructive testing defects of large steel castings |
| CN110625628B (en) * | 2019-10-24 | 2023-08-25 | 四川智能创新铸造有限公司 | Method and device for removing nondestructive testing defects of large steel castings |
| CN111037174A (en) * | 2019-12-09 | 2020-04-21 | 中建钢构有限公司 | Welding control method and welding control system |
| CN111822855A (en) * | 2020-05-27 | 2020-10-27 | 南京航空航天大学 | Systematic regulation and control method for double-laser-beam double-side synchronous welding defect suppression of titanium alloy skin-stringer wallboard |
| CN111822855B (en) * | 2020-05-27 | 2022-01-25 | 南京航空航天大学 | Systematic regulation and control method for inhibiting welding defects |
| CN113182651A (en) * | 2021-04-25 | 2021-07-30 | 中建钢构天津有限公司 | H-shaped steel welding method without back chipping |
| CN113664431A (en) * | 2021-08-23 | 2021-11-19 | 河北先行者机器人科技有限公司 | Steel structural part welding arm capable of adjusting posture in real time and adjusting method |
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