李欢欢,胡志力,华林,陈一哲.铝合金复杂汽车零部件热成形-淬火一体化工艺参数优化[J].稀有金属材料与工程,2019,48(4):1029~1035.[Li Huanhuan,Hu Zhili,Hua Lin,Chen Yizhe.Optimization of hot forming-quenching integrated process parameters for complex aluminum alloy automotive components[J].Rare Metal Materials and Engineering,2019,48(4):1029~1035.]
铝合金复杂汽车零部件热成形-淬火一体化工艺参数优化
投稿时间:2017-11-28  修订日期:2019-03-27
中文关键词:  热冲压  统一黏塑性损伤本构模型  BP神经网络  多目标优化
基金项目:国家自然科学基金(Grant No.51405358);“111”计划(B17034);中国汽车产业创新发展联合基金(U1564202);教育部创新团队发展计划(IRT13087)
中文摘要:
      铝合金热成形-淬火一体化工艺将成形和热处理结合,能同时实现零件尺寸精度和性能的控制,是实现汽车轻量化的主要途径之一。但是在冲压成形尺寸相对较大形状相对较复杂的铝合金板件时,依然存在各工艺参数难调试的问题。建立了AA6061铝合金的热变形统一黏塑性损伤本构模型,将其用于铝合金汽车B柱热冲压成形模拟,采用BP神经网络构建了工艺参数(板料成形温度,冲压速度,模具间隙)与成形性(最大减薄率,最大增厚率)之间的关系并结合遗传算法实现多目标优化,得到了AA6061铝合金热冲压的最佳成形工艺参数。优化之后,B柱的最大减薄率和最大增厚率分别从56.5%和14.2%降到了13.0%和10.0%,通过优化之后的工艺参数,制得了成形性良好、尺寸精度高的零件。结果证明了基于神经网络和遗传算法的热成形工艺优化方法的可行性和有效性。
Optimization of hot forming-quenching integrated process parameters for complex aluminum alloy automotive components
英文关键词:hot stamping  Unified viscoplastic damage constitutive equation  BP artificial neural network  Multi-objective optimization
英文摘要:
      Hot forming-quenching integrating process of aluminum alloy sheet has been developed to improve formability and overcome thermal distortion by integrating hot stamping and quenching in one operation, which is significantly beneficial for the application of aluminum alloy components in vehicle lightweight industry. In this novel technology, processing parameters are interrelated and interacted. To obtain appropriate forming parameters, thermo-mechanical finite element (FE) model using a unified viscoplastic damage model is set up to predict the formability of a complex-designed 6xxx aluminum alloy B-pillar. A Back Propagation (BP) neural-network combined with multi-objective genetic algorithm (GA) method is adopted to optimize the key process variables including blank temperature, stamping speed and die clearance during hot stamping process. After optimization, the thinning and thickening are reduced to 13.0% and 10.0% by comparing with the initial 56.5% and 14.2%, respectively. In addition, a successful hot stamping B-pillar with satisfactory mechanical performance and excellent forming accuracy is achieved experimentally by using the optimized parameters. It indicates that the finite element model can simulate the hot stamping process accurately and that the optimization method utilized in this paper is feasible and effective.
作者单位E-mail
李欢欢 武汉理工大学 材料科学与工程学院 591438828@qq.com 
胡志力 武汉理工大学 现代汽车零部件技术湖北省重点实验室  
华林 武汉理工大学 材料科学与工程学院  
陈一哲 武汉理工大学 现代汽车零部件技术湖北省重点实验室  
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