DP-780高强钢车身侧围板成形质量优化
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摘要
以DP-780高强钢车身侧围板为研究对象,在成形极限图的基础上,提出了拉裂质量评价指标、起皱评价指标和增厚-减薄质量评价指标,作为判断不同成形结果好坏的标准;然后针对拉延这一基础工序,选择不同的工艺参数设计正交试验,利用Dynaform软件仿真分析,得到基于评价指标的正交试验数据库,为得到最佳参数组提供依据;最后利用基于遗传算法的BP神经网络优化算法进一步寻求最优解,获得最优工艺参数值为:板料偏置尺寸7.0 mm,冲压速度为4230 mm·s~(-1),摩擦系数为0.13,压边力为310 kN。经实验验证,研究结果满足工艺要求。
DP-780 high strength steel body side panel was taken as the research object,based on forming limit diagram,the evaluation index of cracking,quality evaluation index of wrinkling,quality evaluation index of thickening-thinning were put forward as the criterion for judging the quality of different forming results.Then,for the basic process of drawing,different process parameters were chosen to design the orthogonal test.Using the Dynaform software simulation analysis,the orthogonal test database based on the evaluation indexes was obtained,which provided the reference for getting the best parameter group.Finally,the optimization algorithm of BP neural network based on genetic algorithm was employed to further seek the optimal solution.The optimal parameter value of the process is as follows:the offset size of sheet material is 7.0 mm,stamping speed is 4230 mm·s~(-1),friction coefficient is 0.13,blank holder force is 310 kN.It is proved by the test that the result meets the requirements of the process.
DP-780 high strength steel body side panel was taken as the research object,based on forming limit diagram,the evaluation index of cracking,quality evaluation index of wrinkling,quality evaluation index of thickening-thinning were put forward as the criterion for judging the quality of different forming results.Then,for the basic process of drawing,different process parameters were chosen to design the orthogonal test.Using the Dynaform software simulation analysis,the orthogonal test database based on the evaluation indexes was obtained,which provided the reference for getting the best parameter group.Finally,the optimization algorithm of BP neural network based on genetic algorithm was employed to further seek the optimal solution.The optimal parameter value of the process is as follows:the offset size of sheet material is 7.0 mm,stamping speed is 4230 mm·s~(-1),friction coefficient is 0.13,blank holder force is 310 kN.It is proved by the test that the result meets the requirements of the process.
引文
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[10]岳宗敏.汽车用双相高强钢拉延成形性及回弹控制研究[D].重庆:重庆大学,2016.YUE Zongmin.Study on drawing formability and springback control of dual phase high strength steel for automobile[D].Chongqing:Chongqing University,2016.
[11]陆林.车身前翼子板成形质量控制与工艺参数优化[D].镇江:江苏大学,2016.LU Lin.Quality control and process parameters optimization of front wing panel forming[D].Zhenjiang:Jiangsu University,2016.
[12]王列亮.多因素对铝合金板冲压成形质量影响的研究[D].南京:南京林业大学,2015.WANG Lieliang.Study on the influence of multiple factors on the quality of aluminum alloy sheet forming[D].Nanjing:Nanjing Forestry University,2015.
[13]郭水军,聂威,杨旭静,等.基于冲压成形困难区域的拉延筋阻力稳健设计[J].现代制造工程,2015,(11):106-112.GUO Shuijun,NIE Wei,YANG Xujing,et al.Robust design of drawbead resistance based on difficult stamping forming region[J].Modern Manufacturing Engineering,2015,(11):106-112.
[14]龙玲,张健,董洁,等.基于随机聚焦搜索算法的汽车后围内板冲压工艺优化设计[J].锻压技术,2018,43(5):148-153.LONG Ling,ZHANG Jian,DONG Jie,et al.Optimum design of stamping process for automotive rear inner panel based on random focus search algorithms[J].Forging&Stamping Technology,2018,43(5):148-153.
[15]潘小迎,汪建敏,郭嘉晨.基于微观遗传算法优化法兰滑套成形工艺[J].塑性工程学报,2018,25(2):86-90.PAN Xiaoying,WANG Jianmin,GUO Jiachen.Optimizing the forming process of flange sleeve based on microgenetic algorithms[J].Journal of Plasticity Engineering,2018,25(2):86-90.
[2]李贵.面向产品设计的回弹模拟与几何补偿方法研究[D].武汉:华中科技大学,2014.LI Gui.Research on springback simulation and geometric compensation for product design[D].Wuhan:Huazhong University of Science and Technology,2014.
[3]KAZAN R,FIRAT M,TIRYAKI A E.Prediction of springback in wipe-bending process of sheet metal using neural network[J].Materials&Design,2009,30(2):418-423.
[4]LIU W,LIU Q,FENG R,et al.Springback prediction for sheet metal forming based on GA-ANN technology[J].Journal of Materials Processing Tech.,2007,187(1):227-231.
[5]CHEN P,KOM.Simulation of springback variation in forming of advanced high strength steels[J].Journal of Materials Processing Tech.,2007,190(1):189-198.
[6]INGARAO G,LORENZO R D,MICARI F.Analysis of stamping performances of dual phase steels:A multi-objective approach to reduce springback and thinning failure[J].Materials&Design,2009,30(10):4421-4433.
[7]孙光永,李光耀,张勇,等.基于有限元的板料拉延成形质量评价准则及工艺参数优化研究[J].固体力学学报,2009,30(1):70-78.SUN Guangyong,LI Guangyao,ZHANG Yong,et al.Study on quality evaluation criteria and process parameters optimization of sheet metal drawing based on finite element method[J].Journal of Solid Mechanics,2009,30(1):70-78.
[8]闫盖,郑燕萍,张文彦,等.基于正交试验的板料冲压成形工艺参数优化[J].热加工工艺,2013,42(17):94-97.YAN Gai,ZHENG Yanping,ZHANG Wenyan,et al.Optimization of sheet metal stamping process parameters based on orthogonal test[J].Hot Working Process,2013,42(17):94-97.
[9]刘大海,孟维金,蒙骏鹏.DP780高强钢板材高应变率变形行为及本构模型[J].塑性工程学报,2018,25(1):161-166,174.LIU Dahai,MENG Weijin,MENG Junpeng.Deformation behavior and constitutive model of DP780 high strength steel sheet with high strain rate[J].Journal of Plasticity Engineering,2018,25(1):161-166,174.
[10]岳宗敏.汽车用双相高强钢拉延成形性及回弹控制研究[D].重庆:重庆大学,2016.YUE Zongmin.Study on drawing formability and springback control of dual phase high strength steel for automobile[D].Chongqing:Chongqing University,2016.
[11]陆林.车身前翼子板成形质量控制与工艺参数优化[D].镇江:江苏大学,2016.LU Lin.Quality control and process parameters optimization of front wing panel forming[D].Zhenjiang:Jiangsu University,2016.
[12]王列亮.多因素对铝合金板冲压成形质量影响的研究[D].南京:南京林业大学,2015.WANG Lieliang.Study on the influence of multiple factors on the quality of aluminum alloy sheet forming[D].Nanjing:Nanjing Forestry University,2015.
[13]郭水军,聂威,杨旭静,等.基于冲压成形困难区域的拉延筋阻力稳健设计[J].现代制造工程,2015,(11):106-112.GUO Shuijun,NIE Wei,YANG Xujing,et al.Robust design of drawbead resistance based on difficult stamping forming region[J].Modern Manufacturing Engineering,2015,(11):106-112.
[14]龙玲,张健,董洁,等.基于随机聚焦搜索算法的汽车后围内板冲压工艺优化设计[J].锻压技术,2018,43(5):148-153.LONG Ling,ZHANG Jian,DONG Jie,et al.Optimum design of stamping process for automotive rear inner panel based on random focus search algorithms[J].Forging&Stamping Technology,2018,43(5):148-153.
[15]潘小迎,汪建敏,郭嘉晨.基于微观遗传算法优化法兰滑套成形工艺[J].塑性工程学报,2018,25(2):86-90.PAN Xiaoying,WANG Jianmin,GUO Jiachen.Optimizing the forming process of flange sleeve based on microgenetic algorithms[J].Journal of Plasticity Engineering,2018,25(2):86-90.