锻压技术

基于动态RBF代理模型的板料本构参数反求研究

英文标题：Research of sheet metal constitutive parameters inverse based on dynamic RBF surrogate model

作者：乔良宋小欣谢延敏王杰王新宝

单位：西南交通大学

分类号：TG386

出版年,卷(期):页码：2014,39(3):145-150

摘要：

提出基于动态RBF代理模型和粒子群算法相结合反求板料本构参数的方法。板料冲压回弹所涉及的材料本构参数有弹性模量、强度系数、硬化指数以及各向异性系数等。通过反求获取准确的材料参数，提高回弹模拟精度。以numisheet 96 S梁为例，通过正交试验设计和灰色关联分析，筛选出影响板料回弹量的主要材料参数作为反求变量，以某截面Z向回弹量试验值与仿真值之差为目标，进行优化，从而反求出相应的材料本构参数。结果表明，通过反求得到的材料参数进行S梁回弹模拟，所得结果与试验值更加接近，并且保证反求效率。将S梁拐角两个截面IE、JD主应变试验结果与仿真结果进行对比，表明反求结果的有效性，也说明该方法的可行性。

A method based on dynamic RBF surrogate model and particle swarm optimization algorithm was proposed. Material constitutive parameters of sheet metal stamping springback included the elastic modulus, strength coefficient, hardening exponent and anisotropy coefficient, etc. The springback simulation accuracy was improved by reversing the correct material parameters.Taking numisheet 96 S-rail for an example, the main material parameters regarded as reverse variables were screened through the orthogonal experiment design and grey relation analysis. Based on the target of difference between experiment and simulation values of Z coordinate springback of one section, the reverse result of material constitutive parameters was obversed through optimization. The results show that by using the reversed material parameters for S-rail springback simulation, the simulation accuracy is obviously improved，and also the inverse efficiency can be guaranteed. Compared the test results of two cross sections with simulation results, it shows that the result is effective, and also this method is of feasibility.

基金项目：

国家自然科学基金资助项目(51005193)

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