锻压技术

基于变压边力的汽车翼子板成形

英文标题：Automobile fender forming based on variable blank holder force

作者：曹传剑曹爱霞宋慧刘娜钟佩思

分类号：TG386.1

出版年,卷(期):页码：2016,41(10):149-151

摘要：

采用变压边力加载方式对汽车翼子板的冲压成形过程进行研究。运用Dynaform软件对汽车翼子板的成形过程进行有限元仿真分析。仿真结果发现，恒定压边力下零件发生轻微拉裂，不能满足成形要求。在恒定压边力无法获得满意成形结果的情况下，采用变压边力加载方式对其进一步研究，模拟分析了6种变压边力加载方式下的成形效果，获得了最佳的变压边力加载方式，大大改善了零件的成形效果。将实际拉深成形试模结果与仿真分析结果进行对比，验证了变压边力成形方案的可行性。在最终成形状态下，零件的最大变薄率为25.0%，最大增厚率为8.0%，总体成形质量较好，满足成形要求。研究结果表明，变压边力加载方式能够改善零件的成形效果。

The forming process of automobile fender was researched by variable blank holder force (VBHF), and the forming process was simulated by Dynaform. The simulation results show that the parts are slightly crack under constant blank holder force, which can not meet the requirements of forming. Therefore, the variable blank holder force loading method was used to carry out the research. The forming effect was simulated under six load methods of VBHF, and the optimal loading mode was obtained so as to improve the forming effect greatly. Furthermore, the feasibility of VBHF forming was verified by comparing experiment result with simulated analysis result. Finally, the maximum thinning rate was 25.0% and the maximum thickening rate was 8.0%, and the overall forming quality was better and satisfied the requirement of forming. The results prove that the loading way of VBHF can improve the forming effect.

基金项目：

山东省自然科学基金资助项目（ZR2015EM042）

作者简介：曹传剑（1984-），男，硕士，讲师 E-mail：caochuanjian1008@163.com

参考文献：

[1]李恩,王成勇,刘克素. 压边力对汽车前轮罩板成形性能的影响[J]. 合肥工业大学学报: 自然科学版,2010,33(1): 32-35.

Li E,Wang C Y,Liu K S. Influence of blank holder force on the formability of front wheel cowling panels of the automobile[J]. Journal of Hefei University of Technology: Natural Science Edition,2010,33(1): 32-35.

[2]Gunnarsson L,Schedin E. Improving the properties of exterior body panels in automobiles using variable blank holder force[J]. Journal of Materials Processing Technology,2001,114(2): 168-173.

[3]Tommerup S,Endelt B. Improving the quality of deep drawn parts using variable blank holder force[J]. International Journal of Material Forming,2009,2(S1):809-812.

[4]李奇涵,王红强,刘海静,等. 基于BP神经网络矩形盒件拉深成形变压边力的预测[J]. 锻压技术,2015,40(11):27-31.

Li Q H,Wang H Q,Liu H J,et al. Prediction of variable blank-holder force of rectangular box in deep drawing forming based on BP neural network[J]. Forging & Stamping Technology,2015,40(11):27-31.

[5]陈炜,周宏超,徐雪来,等. 盒形件变压边力拉深成形研究[J]. 锻压技术,2014,39(11):20-23.

Chen W,Zhou H C, Xu X L,et al. Research on variable blank holder force deep drawing for rectangular box parts[J]. Forging & Stamping Technology,2014,39(11):20-23.

服务与反馈：

【本网站尚未开通全文下载服务】【加入收藏】