CN107598370A - A kind of technique optimization method of steel/aluminium laser welding - Google Patents
A kind of technique optimization method of steel/aluminium laser welding Download PDFInfo
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- CN107598370A CN107598370A CN201710749553.0A CN201710749553A CN107598370A CN 107598370 A CN107598370 A CN 107598370A CN 201710749553 A CN201710749553 A CN 201710749553A CN 107598370 A CN107598370 A CN 107598370A
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Abstract
The invention discloses a kind of technique optimization method of steel/aluminium laser welding, carries out analog simulation to steel/aluminium laser beam welding using finite element analysis software SYSWELD, obtains steel/aluminum dissimilar metal laser welding temperature field cloud charts, fusion penetration and molten wide.Response phase method, which is tested, using field cause for gossip sets up mapping relations between each laser technical parameterses and fusion penetration and molten wide, so as to be predicted to fusion penetration under different technical parameters and molten wide, consider appearance of weld it is good under conditions of obtain preferable weld penetration, and then obtain preferably laser welding process parameter, the present invention is applied to the selection of steel/aluminium laser welding process parameter, overcome the difficulty that steel/aluminium laser welding process parameter must rely on worker's rich experience and substantial amounts of experiment to be chosen, and then save substantial amounts of time and consumptive material, make the selection of technological parameter simpler reliable, improve production efficiency, production cost is saved.
Description
Technical field
The present invention relates to welding technology field, more particularly to a kind of technique optimization method of steel/aluminium laser welding.
Background technology
Lightweight of the lightweight of vehicle body for vehicle plays very important effect, be improve automobile fuel ecomomy,
Reduce one of maximally efficient means of noxious emission.And steel/aluminium mixing material vehicle body takes material replacement mutually to be tied with structure improvement
The method of conjunction, comply fully with the Development Technology route of body lightening.But its application is at present also in starting stage, steel/aluminium
Laser welding is an extremely complex process, the no unified regulation of evaluation for steel/aluminium welding quality, and weighing at present
The parameter of amount weldquality has a lot, and fusion penetration and molten wide etc. are all the important parameters for weighing weldquality, but each technique is joined
Several have extremely important influence on fusion penetration and molten wide again, but is difficult simultaneously directly to going to work in steel/aluminium laser beam welding
Relation between skill parameter and fusion penetration and molten wide, so just considerably increasing the difficulty that steel/aluminium laser welding process is formulated.
It is therefore desirable to optimize the technique of steel/aluminium laser welding by computer technology, welding quality is improved.
The content of the invention
Technical problem to be solved of the embodiment of the present invention is, there is provided a kind of efficient steel of welding efficiency/aluminium Laser Welding
The technique optimization method connect, this method are based on simulation analysis of computer, and-response phase method method and numerical simulation are tested using field oral examination
Technology is combined, and realizes automation and the efficiency of optimization process, saves experimentation cost.
To achieve the above object, the technical scheme is that a kind of technique optimization method of steel/aluminium laser welding, it is special
Sign is：Tested using finite element analysis and field oral examination-combination of response phase method obtains the molten bath fusion penetration of steel aluminium laser welding and molten
Wide forecast model, obtained Polynomical regressive equation be used for predict steel under different condition/aluminium laser welding molten bath fusion penetration and
Molten wide, specifically include following steps：
(1) L is selected16(45) orthogonal trial testing program, and using molten bath fusion penetration and molten wide as index, choose laser work(
Rate, speed of welding, defocusing amount and shield gas flow rate welding condition are influence factor；
(2) experimental simulation is carried out using the orthogonal arrage in step (1), is carried out not using finite element analysis software SYSWELD
With the analog simulation of the steel under the conditions of technological parameter/aluminium laser welding, the fusion penetration and molten wide of weld seam are calculated, records result data；
(3) using the experimental data obtained by step (2), laser technical parameterses is set up using response phase method and molten bath is melted
Polynomial equation between deep, molten wide；
(4) polynomial equation established using step (3) carries out the prediction of steel/aluminium laser welding fusion penetration, molten wide, so as to refer to
Lead simultaneously optimizing welding process parameter.
Further setting is that the polynomial equation described in step (3) uses following laser welding process parameter：Bonding power
1300~1400w, 25~40mm/s of speed of welding, defocusing amount -2~1mm, 25~40min/L of shield gas flow rate.
In addition, further, each technological parameter is conventional in steel/aluminium laser welding orthogonal experiment described in step (1)
Within processing range.
Further, used by the analog simulation of the steel described in step (2)/aluminium laser welding technological parameter and scope with
Step (1) is described consistent.
Further, the polynomial equation between the laser technical parameterses described in step (3) and molten bath fusion penetration, molten wide need through
Variance test, the equation is notable, has statistical significance.
Compared with prior art, the beneficial effects of the invention are as follows：The invention provides a kind of more efficient steel/aluminium to swash
The performance optimization method of photocoagulation, tested using finite element software analog simulation and field oral examination-response phase method method is combined, calculate
Speed, the simulation of steel/aluminium welding process is more accurately carried out, has greatlyd save experimentation cost and time, and intend
It is high to close regression equation precision of prediction out, steel of sening as an envoy to/aluminium welding point can be rapidly solved using obtained response surface
Fusion penetration and molten wide, so as to obtain optimal welding point, it is suitable for the formulation and optimization of steel/aluminium laser welding process parameter.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, according to
These accompanying drawings obtain other accompanying drawings and still fall within scope of the invention.
Fig. 1 is a kind of technique optimization method flow chart of steel/aluminium laser welding of the present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made into one below in conjunction with accompanying drawing
It is described in detail on step ground.
The direction and position term that the present invention is previously mentioned, for example, " on ", " under ", "front", "rear", "left", "right", " interior ", "
Outside ", " top ", " bottom ", " side " etc., only it is the direction or position of refer to the attached drawing.Therefore, the direction used and position term
It is to illustrate and understand the present invention, rather than limiting the scope of the invention.
As shown in figure 1, in the embodiment of the present invention, to illustrate the specific reality of this method by taking steel/aluminium laser welding as an example below
Apply scheme：
(1) L is selected16(45) orthogonal trial testing program, and using molten bath fusion penetration and molten wide as index, choose laser work(
Rate, speed of welding, defocusing amount and shield gas flow rate welding condition are influence factor.
(2) simulation of welding process, the thermal source school carried by software are carried out by finite element analysis software SYSWELD and
Kernel function changes each technological parameter of laser welding to obtain different melting pool shapes, so as to draw under each technological parameter
Corresponding fusion penetration and molten wide, it is desirable to which each technological parameter collects experimental result data in conventional processing range.
(3) result data collected by above-mentioned simulated experiment, it is established that steel/aluminium laser welding process parameter
Polynomial equation between fusion penetration and molten wide.
(4) variance analysis is carried out to the multiple target regression equation set up using Design-Expert softwares and examined, it is right
Steel/fusion penetration of aluminium laser welding and being predicted for molten wide, welding condition need to be only inputted when formulating welding procedure, can be with
The fusion penetration and molten wide of tapping/aluminium laser welding are directly predicted, meanwhile, model can also be carried out using Design-Expert softwares
Anti- prediction, set fusion penetration and molten wide desired value can reverse go out to need the welding condition inputted, so as to efficiently rapidly
To design and formulate welding procedure.
The situation of emulation experiment is as follows：
(1) specimen size：100 × 50 × 1mm of steel, 100 × 50 × 1mm of aluminium；
(2) welding method：Steel plate is upper, and aluminium sheet is under, using the form of overlap joint；
(3) technological parameter：1300~1400w of bonding power, 25~40mm/s of speed of welding, defocusing amount -2~1mm, protection
25~40min/L of gas flow；
(4) experiment content：Measure the fusion penetration and molten wide of steel/aluminium welding point under different technical parameters；
(5) experimental result：Experiment Data Records such as table 1, predicted value is with simulation value to such as table 2；
The Experiment Data Records table of table 1
The welding simulation value of table 2 contrasts with predicted value
Can be with one of ordinary skill in the art will appreciate that realizing that all or part of step in above-described embodiment method is
The hardware of correlation is instructed to complete by program, described program can be stored in a computer read/write memory medium,
Described storage medium, such as ROM/RAM, disk, CD.
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (2)
- A kind of 1. technique optimization method of steel/aluminium laser welding, it is characterised in that：Test-ring using finite element analysis and field oral examination The combination of face method is answered to obtain the molten bath fusion penetration of steel aluminium laser welding and the forecast model of molten wide, obtained Polynomical regressive equation is used To predict the molten bath fusion penetration of steel under different condition/aluminium laser welding and molten wide, following steps are specifically included：(1) L is selected16(45) orthogonal trial testing program, and using molten bath fusion penetration and molten wide as index, choose laser power, weldering It is influence factor to connect speed, defocusing amount and shield gas flow rate welding condition；(2) experimental simulation is carried out using the orthogonal arrage in step (1), different works is carried out using finite element analysis software SYSWELD The analog simulation of steel/aluminium laser welding under skill Parameter Conditions, the fusion penetration and molten wide of weld seam are calculated, record result data；(3) using the experimental data obtained by step (2), laser technical parameterses and molten bath fusion penetration is set up using response phase method, melted Polynomial equation between width；(4) polynomial equation established using step (3) carries out the prediction of steel/aluminium laser welding fusion penetration, molten wide, so as to instruct simultaneously Optimizing welding process parameter.
- A kind of 2. technique optimization method of steel/aluminium laser welding according to claim 1, it is characterised in that：Step (3) institute The polynomial equation stated uses following laser welding process parameter：1300~1400w of bonding power, 25~40mm/ of speed of welding S, defocusing amount -2~1mm, 25~40min/L of shield gas flow rate.
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| CN109101728A (en) * | 2018-08-13 | 2018-12-28 | 温州大学 | A kind of prediction porous SiC O ceramics air-sensitive performance analogy method |
| CN110083802A (en) * | 2019-04-12 | 2019-08-02 | 重庆邮电大学 | The freeway toll station vehicle flowrate big data prediction technique returned based on multiple target |
| CN110614416A (en) * | 2019-08-19 | 2019-12-27 | 江苏师范大学 | Method for optimizing welding parameters of dual-phase high-strength steel |
| CN110640316A (en) * | 2019-09-03 | 2020-01-03 | 温州大学 | Double-beam laser welding optimization method |
| CN111985094A (en) * | 2020-08-06 | 2020-11-24 | 河海大学常州校区 | Method for predicting weld penetration of underwater wet welding |
| CN112247405A (en) * | 2020-09-07 | 2021-01-22 | 河海大学常州校区 | Method for predicting weld penetration of underwater wet welding based on grey correlation analysis |
| CN112380743A (en) * | 2020-11-02 | 2021-02-19 | 湖北文理学院 | Method for determining dissimilar steel laser penetration welding parameters |
| CN112894132A (en) * | 2021-01-15 | 2021-06-04 | 温州大学 | Laser welding method for aluminum-steel dissimilar materials |
| CN113312768A (en) * | 2021-05-24 | 2021-08-27 | 绍兴文理学院 | Taguchi and BBD based electromagnet multi-quality characteristic parameter optimization design method |
| CN113333956A (en) * | 2021-05-27 | 2021-09-03 | 中国科学院上海光学精密机械研究所 | Resistance spot welding-laser composite spot welding method for aluminum steel dissimilar metal |
| CN113798705A (en) * | 2021-09-07 | 2021-12-17 | 哈尔滨焊接研究院有限公司 | High-throughput detection method for high-power laser welding characteristics |
| CN114273754A (en) * | 2022-01-20 | 2022-04-05 | 成都熊谷加世电器有限公司 | Automatic welding control method |
| CN114577841A (en) * | 2022-02-08 | 2022-06-03 | 首钢集团有限公司 | Steel-aluminum welding simulation method |
| CN114871577A (en) * | 2022-05-13 | 2022-08-09 | 武汉锐科光纤激光技术股份有限公司 | Method and apparatus for welding gear cutter head, storage medium, and electronic apparatus |
| 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 |
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| CN109101728A (en) * | 2018-08-13 | 2018-12-28 | 温州大学 | A kind of prediction porous SiC O ceramics air-sensitive performance analogy method |
| CN109101728B (en) * | 2018-08-13 | 2023-06-27 | 温州大学 | Simulation method for predicting gas-sensitive performance of porous SiCO ceramic |
| CN110083802B (en) * | 2019-04-12 | 2022-05-03 | 重庆邮电大学 | Highway toll station vehicle flow big data prediction method based on multi-target regression |
| CN110083802A (en) * | 2019-04-12 | 2019-08-02 | 重庆邮电大学 | The freeway toll station vehicle flowrate big data prediction technique returned based on multiple target |
| CN110614416A (en) * | 2019-08-19 | 2019-12-27 | 江苏师范大学 | Method for optimizing welding parameters of dual-phase high-strength steel |
| CN110614416B (en) * | 2019-08-19 | 2021-02-05 | 江苏师范大学 | Method for optimizing welding parameters of dual-phase high-strength steel |
| CN110640316A (en) * | 2019-09-03 | 2020-01-03 | 温州大学 | Double-beam laser welding optimization method |
| CN110640316B (en) * | 2019-09-03 | 2021-05-21 | 温州大学 | Double-beam laser welding optimization method |
| CN111985094A (en) * | 2020-08-06 | 2020-11-24 | 河海大学常州校区 | Method for predicting weld penetration of underwater wet welding |
| CN112247405A (en) * | 2020-09-07 | 2021-01-22 | 河海大学常州校区 | Method for predicting weld penetration of underwater wet welding based on grey correlation analysis |
| CN112380743A (en) * | 2020-11-02 | 2021-02-19 | 湖北文理学院 | Method for determining dissimilar steel laser penetration welding parameters |
| CN112894132A (en) * | 2021-01-15 | 2021-06-04 | 温州大学 | Laser welding method for aluminum-steel dissimilar materials |
| CN113312768A (en) * | 2021-05-24 | 2021-08-27 | 绍兴文理学院 | Taguchi and BBD based electromagnet multi-quality characteristic parameter optimization design method |
| CN113312768B (en) * | 2021-05-24 | 2024-04-05 | 绍兴文理学院 | Optimization design method for electromagnet multi-quality characteristic parameters based on Taguchi and BBD |
| CN113333956A (en) * | 2021-05-27 | 2021-09-03 | 中国科学院上海光学精密机械研究所 | Resistance spot welding-laser composite spot welding method for aluminum steel dissimilar metal |
| CN113798705A (en) * | 2021-09-07 | 2021-12-17 | 哈尔滨焊接研究院有限公司 | High-throughput detection method for high-power laser welding characteristics |
| CN113798705B (en) * | 2021-09-07 | 2023-07-07 | 哈尔滨焊接研究院有限公司 | High-flux detection method for high-power laser welding characteristics |
| CN114273754A (en) * | 2022-01-20 | 2022-04-05 | 成都熊谷加世电器有限公司 | Automatic welding control method |
| CN114273754B (en) * | 2022-01-20 | 2023-10-20 | 成都熊谷加世电器有限公司 | Automatic welding control method |
| CN114577841A (en) * | 2022-02-08 | 2022-06-03 | 首钢集团有限公司 | Steel-aluminum welding simulation method |
| CN114871577A (en) * | 2022-05-13 | 2022-08-09 | 武汉锐科光纤激光技术股份有限公司 | Method and apparatus for welding gear cutter head, storage medium, and electronic apparatus |
| 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 |
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Application publication date: 20180119 Assignee: Pingyang Intelligent Manufacturing Research Institute of Wenzhou University Assignor: Wenzhou University Contract record no.: X2020330000096 Denomination of invention: A process optimization method for laser welding of steel / aluminum Granted publication date: 20181130 License type: Common License Record date: 20201122 |