| 引用本文: | 周云郊,兰凤崇,黄信宏,陈吉清.钢铝板材压力连接模具几何参数多目标优化[J].材料科学与工艺,2011,19(6):86-93,99.DOI:10.11951/j.issn.1005-0299.20110616. |
| ZHOU Yun-jiao,LAN Feng-chong,HUANG Xin-hong,CHEN Ji-qing.Multi-objective optimization of geometry of clinching tools for steel-aluminum blank sheets[J].Materials Science and Technology,2011,19(6):86-93,99.DOI:10.11951/j.issn.1005-0299.20110616. |
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| 摘要: |
| 为解决钢铝混合车身中钢和铝异种材料间的连接问题,对无铆钉自冲铆连接钢铝异种材料的可行性进行了实验研究和仿真分析.在实验验证的基础上,为得到连接接头处的最优机械性能,以接头颈厚值和自锁值为评价指标,综合运用实验设计、统计分析、代理模型构造响应面以及遗传算法对钢铝压力连接模具几何参数进行多目标优化,得到了接头颈厚值和自锁值两个目标的Pareto前沿解集,解集值对于改进冲压连接模具几何参数有重要意义. |
| 关键词: 车身结构 钢铝混合 冲压连接 多目标优化 |
| DOI：10.11951/j.issn.1005-0299.20110616 |
| 分类号:U465.2 |
| 基金项目:国家科技支撑计划资助项目(2011BAG03B02);中央高校基本科研业务费专项资金资助项目(2009ZZ0002) |
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| Multi-objective optimization of geometry of clinching tools for steel-aluminum blank sheets |
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ZHOU Yun-jiao1,2, LAN Feng-chong1,2, HUANG Xin-hong1,2, CHEN Ji-qing1,2
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1.School of Mechanical & Automotive Engineering,South China University of Technology,Guangzhou 510640,China;2.Guangdong Provincial Key Laboratory of Automotive Engineering,Guangzhou 510640,China
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| Abstract: |
| To solve the connection problem of steel-aluminum hybrid car-body,experimental research and finite element(FE) simulation analysis were carried out to study the feasibility of joining steel sheet and aluminum sheet by using mechanical clinching.Based on the feasibility of experimental verification,aiming at obtaining high-quality joints with optimal properties in shear and tensile strength,the multi-objective optimization for the geometric parameters of the clinching tool was performed by comprehensively using the methods of experimental design,statistical analysis,Meta-modeling of response surface method(RSM) and genetic algorithm(GA).The goal was to maximize both of the neck thickness and undercut value of the clinching joint.The result of solution set for Pareto front is obtained,which can provide engineers with a wide range of possible options. |
| Key words: car-body structure steel-aluminum hybrid mechanical clinching multi-objective optimization |
