Transactions of Materials and Heat Treatment

Title：Optimization of auto-roof panel forming process based on springback control

Authors： YANG Xiang-an XU Xiao-an

Unit： Guangdong Polytechnic Normal University South China University of Technology

KeyWords： springback optimization mudel sheet metal stamping forming process

ClassificationCode：TG368

year,vol(issue):pagenumber：2011,36(3):144-147

Abstract：

Aimed at reducing the springback after trimming for large curvature radius auto-roof panel, an optimization model was established based on finite element simulation, with the deviation of corresponding nodes for the panel before and after springback as objective function, blank holder force and draw bead force as variable. To solve the model, radial basis function neural networks (ANN) method and simulated annealing (SA) algorithm were employed. Results show that the proposed optimization model is feasible, and springback magnitude of the panel would be reduced obviously when forming with the optimized process parameters, while no such defects as wrinkle and fracture occur.

Funds：

广州市科技计划项目(2007Z2-D9031);广东省教育厅广东高校优秀青年创新人才培育资助项目(育苗工程项目)(wym09110)

Reference：

［1］唐行虎, 陈炜, 王晓璐，等. 基于数值模拟的覆盖件冲压成形工艺研究[J]. 新技术新工艺，2004, (9): 38-39.
［2］张立力, 齐恬, 戴映荣. 数值模拟参数和工艺参数对板材成形回弹影响的研究[J]. 锻压技术，2002, 27(6): 18-21.
［3］段磊，蔡玉俊，莫国强，等. 汽车覆盖件成形回弹仿真及模面优化研究[J]. 锻压技术, 2010, 35(2): 34-38.
［4］Liu Wei, YangYu-ying. Multi-objective optimization of sheet metal forming process using Pareto-based genetic algorithm[J]. Journal of Materials Processing Technology, 2008, 208(13): 499-506.
［5］Bahloul R,Ben-Elechi S,Potiron A. Optimisation of springback predicted by experimental and numerical approach by using response surface methodology[J]. Journal of Materials Processing Technology, 2006, 173(1): 101-110.
［6］邓俊, 赖旭芝, 吴敏，等. 基于神经网络和模拟退火算法的配煤智能优化方法[J]. 冶金自动化，2007, 31(3): 19-23.
［7］罗蓬. 模具快走丝放电线切割工艺的神经网络模拟与优化[J]. 贵州工业大学学报：自然科学版，2000, 29(5): 65-68.
［8］朱东波, 马雷, 李涤尘，等. 复杂形状板料冲压件回弹评价指标研究[J]. 机械科学与技术, 2000, 19 (6): 953-955.
［9］祝洪川, 李荣锋, 杜丽影, 等. FLC测量中的影响因素研究[J]. 物理测试, 2008, 26(5): 17-20.
［10］陈劼实, 周贤宾, 刘长丽. 数值模拟中应用最小厚度准则预测板料成形极限[J]. 中国机械工程, 2006, 17(S1): 67-70.
［11］康立山, 谢云, 尤矢勇，等. 非数值并行算法：第一册—模拟退火算法[M]. 北京: 科学出版社，1994.
［12］彭必友，胡腾，肖兵，等. 基于数值模拟的拉延筋约束阻力计算方法研究[J]. 锻压技术,2009,34(6):70-73.

Service：

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