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Abstract: It’s very essential to correctly determine the material
parameter in constitutive model for appropriately analyzing and
simulating the process of metal forming. Based on Hill’s new yield
criterion, the approach of artificial neural networks is used to
identify the material parameter m in variant stress states during the
process of material deformation. By the experiment of tension and
torsion test of thin walled tube on MTS , the experimental strain
increment is obtained and compared with theoretical strain increment
which obtained by simulation with m value 2 and the identified m value.
The results of comparison validate the correctness of identified m and
deformation control method using the identified m.
Key words: Material parameter Artificial neural networks Identification
Deformation control
CLC No: TG386
国家自然科学基金资助项目(59805015). Received 20011030, received in revised form
20021028
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