Transactions of Materials and Heat Treatment

Title：Multi-objective optimization of drawing process parameters for automobile panels

Authors：

Unit：

KeyWords：

ClassificationCode：TG386

year,vol(issue):pagenumber：2020,45(7):82-88

Abstract：

Aiming at the problems of wrinkling, cracking and insufficient drawing in the drawing process of automobile panels, taking the automobile engine hood outer panel as an example, a multiobjective optimization method based on orthogonal test design and quadratic polynomial stepwise regression was proposed. Firstly, the influences of process parameters on drawing quality were studied by single factor variable method, and the main factors were obtained. Secondly, the orthogonal test design was carried out according to the main factors, the test data were fitted by quadratic polynomial stepwise regression method, the quadratic polynomial agent model was obtained, and the accuracy of the agent model was analyzed. Then, the multiobjective optimization model was constructed, taking the minimum weighting function as the optimization objective, the minimum value of the maximum thickening rate and the corresponding combination of process parameters were obtained on the premise of ensuring the full drawing forming. Finally, the optimized process parameters were used to simulate, and good drawing effect was obtained. The results indicate that using the optimized process parameters to trail, the maximum thinning rate of outer panel for engine hood is 16.837%, the maximum thickening rate is 10.171%, and the forming quality is good. The application of multiobjective optimization method based on orthogonal test design and quadratic polynomial stepwise regression can control and predict the forming quality, and reduce the number of trail and production costs, which provides a reference for the research of such parts and has guiding and reference significance.

Funds：

天津市教委科研计划项目(2018KJ269)

么大锁（1982-），男，硕士，讲师 E-mail：yaodasuo@163.com

Reference：

[1]龚红英, 刘克素,董万鹏,等.金属塑形成形CAE应用-DYNAFORM[M].北京:化学工业出版社, 2014.

Gong H Y, Liu K S, Dong W P, et al. Application of CAE in Metal FormingDYNAFORM[M]. Beijing: Chemical Industry Press, 2014.

[2]臧其其, 闫华军,张双杰,等.基于Dynaform的铝合金汽车地板梁成形分析及工艺参数优化[J].塑性工程学报,2019,26(2):125-131.

Zang Q Q, Yan H J, Zhang S J, et al. Forming analysis and process parameter optimization of aluminum alloy automobile floor beam based on Dynaform[J]. Journal of Plastic Engineering,2019,26(2):125-131.

[3]莫荣珍. 汽车座椅侧板冲压成形分析及参数优化[J].锻压技术,2019,44(10):34-39.

Mo R Z. Stamping analysis and parameter optimization of automobile seat side plate[J]. Forging & Stamping Technology,2019,44(10):34-39.

[4]林浩波, 刘军辉,吴立国.基于遗传算法的防撞钢梁热冲压成形工艺优化[J].塑性工程学报,2019,26(5):65-69.

Lin H B, Liu J H, Wu L G. Optimization of hot stamping process of anticollision steel beam based on genetic algorithm[J]. Journal of Plasticity Engineering, 2019,26(5):65-69.

[5]莫明立. 某汽车后地板横梁冲压成形数值模拟及参数优化[J].锻压技术,2019,44(6):41-45,52.

Mo M L. Numerical simulation and parameter optimization of the stamping process of the rear floor beam of an automobile[J]. Forging & Stamping Technology, 2019,44(6):41-45,52.

[6]周均, 王勇.基于Autoform软件的冲压成形工艺参数优化[J].兵器材料科学与工程,2017,40(1):73-76.

Zhou J, Wang Y. Optimization of stamping process parameters based on AutoForm software[J]. Ordnance Material Science and Engineering,2017,40(1):73-76.

[7]李雷. 基于评价函数的车身覆盖件成形工艺参数优化[J].锻压技术,2018,43(11):24-28.

Li L. Optimization of forming process parameters of body panel based on evaluation function[J]. Forging & Stamping Technology,2018,43(11):24-28.

[8]朱超, 王雷刚,黄瑶.基于CAE和灰色关联的汽车前门外板冲压成形工艺参数多目标优化[J].锻压技术,2018,43(8):39-43,70.

Zhu C, Wang L G, Huang Y. Multiobjective optimization of stamping process parameters of front door outer panel based on CAE and grey correlation[J]. Forging & Stamping Technology,2018,43(8):39-43,70.

[9]覃柏英, 秦文东,林贤坤,等.基于BBD设计和响应面法的隔热罩冲压成形工艺参数优化[J].制造业自动化,2015,37(15):57-60.

Tan B Y, Qin W D, Lin X K, et al. Optimization of stamping process parameters of heat shield based on BBD design and response surface method[J]. Manufacturing Automation,2015, 37(15):57-60.

[10]熊文韬, 刘泓滨,李华文.基于GS理论和神经网络遗传算法函数寻优的板料成形优化[J].机械设计与研究,2016,32(2):118-122.

Xiong W T, Liu H B, Li H W. Optimization of sheet metal forming based on GS theory and neural network genetic algorithm[J]. Mechanical Design and Research,2016, 32(2):118-122.

[11]祝阳, 王匀,刘克素,等.汽车C柱内板上段拉延成形工艺优化[J].锻压技术,2018,43(6):32-36.

Zhu Y, Wang Y, Liu K S, et al. Optimization of drawing process for the upper part of automobile Cpillar inner plate[J].Forging & Stamping Technology, 2018, 43(6): 32-36.

[12]熊煜, 周杰,王辉,等.基于响应面法的拉延成形参数优化[J].兵器材料科学与工程,2016,39(5):69-72.

Xiong Y, Zhou J, Wang H, et al. Optimization of drawing parameters based on response surface method[J]. Ordnance Material Science and Engineering,2016,39(5):69-72.

[13]郎利辉, 杨希英,孙志莹,等.基于响应面法的汽车覆盖件充液成形工艺参数多目标优化[J].汽车工程,2015,37(4):480-484.

Lang L H, Yang X Y, Sun Z Y, et al. Multiobjective optimization of forming process parameters for automobile panel filling based on response surface method[J]. Automobile Engineering,2015,37(4):480-484.

Service：

【This site has not yet opened Download Service】【Add Favorite】