Transactions of Materials and Heat Treatment

Title：Research of sheet metal constitutive parameters inverse based on dynamic RBF surrogate model

Authors： Qiao Liang Song Xiaoxin Xie Yanmin Wang Jie Wang Xinbao

Unit： Southwest Jiaotong University

KeyWords： stamping springback grey relational analysis surrogate model parameters inverse

ClassificationCode：TG386

year,vol(issue):pagenumber：2014,39(3):145-150

Abstract：

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.

Funds：

国家自然科学基金资助项目(51005193)

Reference：

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