Transactions of Materials and Heat Treatment

Title：Stamping process of aluminum plastic film shell for Li-ion battery core

Authors： Zhao Yue Xiao Yanchun Cui Jia Yu Pan Guan Yuming

Unit： Hebei University of Technology

KeyWords： lithium ion battery aluminum plastic film stamping orthogonal test BP neural network genetic algorithm

ClassificationCode：TP391

year,vol(issue):pagenumber：2017,42(7):48-54

Abstract：

The significance of each process parameter which effects on stamping forming quality of aluminum plastic film shell for lithium ion battery was analyzed by orthogonal test and FE simulation, and it shows that the punch fillet radius and die friction coefficient are the most significant. Then, the process parameters including punch fillet radius, stamping speed, die friction coefficient and blank holder force were optimized by numerical simulation and extremum seeking method combining BP neural network with genetic algorithm. Therefore, the maximum thinning rate of aluminum plastic film of lithium ion battery is reduced by 10% after optimization. Experiments show that the thinning rate of the corner position of aluminum plastic film shell is the maximum and the key factor affecting the overall quality of aluminum plastic film shell. Thus, it can be used as quality inspection standard of aluminum plastic film shell for lithium ion battery.

Funds：

天津市科技特派员项目（14JCTPJC00532）

作者简介：赵越（1992-），男，硕士研究生，E-mail：516162010@qq.com；通讯作者：关玉明（1957-），男，博士，教授，博士生导师，E-mail：gyuming@163.com

Reference：

[1]万玲玉,卞沛文.聚合物锂电池软包装材料铝塑膜的性能评价方法[J]. 科技风, 2016, (7): 8.

Wan L Y, Bian P W. The performance evaluation method of polymer lithium battery flexible packaging materials plastic film [J]. Technology Wind, 2016, (7):8.

[2] 张鹏博,张晓华,王训,等. 锂离子电池用铝塑复合膜精密冲压工艺研究[J]. 热加工工艺, 2016,43(7):167-170.

Zhang P B, Zhang X H, Wang X, et al. Study on precision stamping process of Al-plastic compound film for Li-ion battery [J]. Hot Working Technology, 2016,43(7):167-170.

[3] 任宁,孙延先,吴耀辉,等. 软包装锂离子电池铝塑膜的腐蚀行为[J].有色金属工程, 2015,5(5):29-32.

Ren N, Sun Y X, Wu Y H, et al. Al-plastic film corrosion behavior of soft-packing lithium ion battery [J]. Nonferrous Metals Engineering, 2015,5(5):29-32.

[4]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,2013,43(17):94-97.

Yan G, Zheng Y P, Zhang W Y, et al. Process parameters optimization of sheet stamping forming based on orthogonal experiment [J]. Hot Working Technology, 2013,43(17):94-97.

[5]秦楠.锂离子电池用软包装复合材料的制备及其性能研究[D].合肥：合肥工业大学,2010.

Qin N. Preparation and Properties of Flexible Packaging Materials for Lithium Ion Batteries [D]. Hefei: Hefei Polytechnic University, 2010.

[6]张露.软包装磷酸铁锂电池包装膜与涂碳铝集流体性能研究[D].郑州：郑州大学,2014.

Zhang L. Performance of Package Film and Carbon-coated Al Collector for Soft-packed Lithium Iron Phosphate Cells [D]. Zhengzhou：Zhengzhou University,2014.

[7] 张学建,张艳,胡亚召.聚合物锂离子电池软包装铝塑膜的研究进展[J].信息记录材料,2013,4(6):42-48.

Zhang X J, Zhang Y, Hu Y Z. The research progress of the aluminum packaging film in polymer lithium ion battery [J]. Information Recording Materials, 2013, 4 (6):42-48.

[8] 周亮,徐梦漪,叶孝兆, 等.锂离子电池软包装铝塑复合膜的研究进展[J].轻工科技,2013,(2): 28-29.

Zhou L, Xu M Y, Ye X Z, et al. Research progress of lithium ion battery packaging aluminum-plastic composite membrane [J]. Light Industry Science and Technology, 2013, (2): 28-29.

[9]黄文先,闫洪,黄碧浩. Al2Y/AZ91镁基复合材料流变成形数值模拟[J].稀有金属,2016, 40(8):776-783.

Huang W X, Yan H, Huang B H. Numerical simulation of rheoforming of Al2Y/AZ91 magnesium matrix composite [J]. Chinese Journal of Rare Metals, 2016, 40(8): 776-783.

[10]陶宏之,包向军,何丹农,等.板料反拉深成形的计算机仿真[J].计算机辅助工程,2000, 9(2):57-61.

Tao H Z, Bao X J, He D N, et al. Simulation of Counter Deep Drawing of Sheet Metal [J]. Computer Aided Engineer, 2000, 9(2):57-61.

[11] 曹爱霞,曹传剑,赵梅莲,等.基于Dynaform的镀镍薄板冲压成形及回弹研究[J].锻压技术,2016, 41(10):158-161.

Cao A X, Cao C J, Zhao M L, et al. Dynaform nickel sheet stamping and springback [J]. Forging & Stamping Technology, 2016, 41 (10): 158-161.

[12]余世浩,赵锐敏,李佳琪,等.基于多目标粒子群算法的冲压成形工艺优化[J].热加工工艺,2014, 43(1):144-147, 150.

Yu S H, Zhao R M, Li J Q, et al. Process optimization of sheet metal stamping based on multi-objective particle swarm algorithm [J]. Hot Working Technology, 2014, 43(1):144-147, 150.

[13]张华,陈丰,夏显明.基于正交试验-人工神经网络模型的镁合金薄板加热拉伸工艺优化[J].热加工工艺,2011, 40(22):5-7.

Zhang H, Chen F, Xia X M. Optimization of heated tensile process for magnesium alloy sheet based on orthogonal experiment-artificial neural network model [J]. Hot Working Technology, 2011, 40 (22):5-7.

[14]王晓莉,穆瑞,张咏琴.基于BP神经网络的薄板成形回弹仿真预测[J].锻压技术,2016, 41(6):146-149, 160.

Wang X L, Mu R, Zhang Y Q. Simulation and prediction of springback of sheet metal forming based on BP neural network [J]. Forging & Stamping Technology, 2016, 41 (6): 146-149, 160.

[15]杨梅, 卿晓霞,王波.基于改进遗传算法的神经网络优化方法[J].计算机仿真,2009, 26(5): 198-201.

Yang M, Qin X X, Wang B. Optimization of neural network based on improved genetic algorithm [J]. Computer Simulation, 2009, 26(5): 198-201.

[16]李永安,徐立球.聚合物锂离子电池芯内包装材料[J].中国包装, 2002,(6):94-96.

Li Y A, Xu L Q. Polymer lithium ion battery core packaging material [J]. China Packaging, 2002, (6):94-96.

[17]刘继福,郭纯武,刘嘉鑫.聚合物锂电池软包装材料的瓶颈突破[J].中国包装,2012, (7):51-58.

Liu J F, Guo C W, Liu J X. Bottleneck breakthrough of flexible packaging materials for polymer lithium batteries [J]. China Packaging, 2012, (7):51-58.

Service：

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