锻压技术

响应曲面法优化钢铝异种材料自冲铆接工艺参数的研究

英文标题：Research on optimization of process parameters for self-piercing riveting of steel-aluminium dissimilar materials based on response surface method

作者：王端义

单位：江苏建筑职业技术学院北京理工大学

关键词：钢铝异种材料自冲铆接响应曲面法互锁长度铆接速度

分类号：TG386

出版年,卷(期):页码：2019,44(12):65-69

摘要：

以电动汽车上钢铝异种板材的自冲铆接作为分析对象，利用Deform-2D软件建立1.5 mm料厚的DC03钢板与1 mm料厚的6016-T4铝板的自冲铆接有限元模型。将模具深度、模具宽度及铆接速度作为影响因素，以互锁长度作为优化目标，运用响应曲面法对钢铝异种板材的自冲铆接工艺参数进行优化。研究得知：铆接速度与模具宽度对互锁长度的交互式影响最大，模具宽度与模具深度的交互式影响次之，铆接速度与模具深度的交互式影响最小。DC03/6016-T4异种板材自冲铆接的优化工艺参数组合方案为：铆接速度为40 mm·s-1，模具宽度为9.77 mm，模具深度为1.69 mm，互锁长度的响应值为0.616 mm。通过对优化后的铆接工艺参数的组合方案进行实际验证，测量得出互锁长度的试验值为0.547 mm，响应曲面优化值与试验值两者之间的相对误差为11.2%，从而为企业的实际生产提供参考。

For self-piercing riveting of steel-aluminium dissimilar sheets on electric vehicles, the finite element model of self-piercing riveting for DC03 steel plate with 1.5 mm thickness and 6016-T4 aluminum plate with 1 mm thickness was established by software Deform-2D. Then, the die depth, die width and riveting speed were taken as the influencing factors, and the interlocking length was taken as the optimization objective, the process parameters of self-piercing riveting for steel-aluminum dissimilar sheets were optimized by response surface method. The results show that the interaction between riveting speed and die width has the greatest impact on the interlocking length, followed by the interaction between die width and die depth, and the interaction between riveting speed and die depth is the smallest. Therefore, the optimized process parameters of self-piercing riveting for dissimilar sheets between DC03 steel and 6016-T4 aluminium are the riveting speed of 40 mm·s-1, the die width of 9.77 mm, the die depth of 1.69 mm and the response value of interlocking length of 0.616 mm. Furthermore, the experiment of the optimized process parameters combination scheme is conducted, and the experiment value of interlocking length is 0.547 mm by measurement. Thus, the relative error between the optimized value of response surface and the experimental value is 11.2% to provide a reference for the actual production of enterprises.

基金项目：

国家自然科学基金资助项目(61801198)；2018年高等职业教育高水平骨干专业-机电一体化技术项目(90151222918005);江苏建筑职业技术学院2019科研项目

王端义（1976-），男，硕士，副教授 E-mail：519047033@qq.com

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