INVERSE MATERIAL MODEL PARAMETER IDENTIFICATION FOR METAL CUTTING SIMULATIONS BY OPTIMIZATION STRATEGIES
INVERSE MATERIAL MODEL PARAMETER IDENTIFICATION FOR METAL CUTTING SIMULATIONS BY OPTIMIZATION STRATEGIES
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DOI：
10.17973/mmsj.2019_11_2019067
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发表时间：
2019-11
影响因子：
0.7
通讯作者：
T. Bergs;M. Hardt;D. Schraknepper
中科院分区：
文献类型：
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作者：
T. Bergs;M. Hardt;D. Schraknepper
机械加工过程的数值模拟显示了缩短工艺开发时间的巨大潜力。在对加工过程进行建模时，准确的材料模型对模拟结果的成功和可靠性至关重要。特别是，模拟结果在很大程度上取决于材料模型和材料参数。为了确定加工条件的参数，使用了反方法，其中仿真结果与实验结果迭代匹配。然而，这个过程非常耗时，并且需要大量的迭代。提出了一种利用优化算法进行材料参数反辨识的新方法。
Numerical modeling of machining processes exhibits a high potential for shortening process development times. When modeling the machining process, an accurate material model is essential for the success and reliability of the simulated results. Especially, the simulation results depend largely on the material model and on the material parameters. To identify the parameters for machining conditions, inverse methods are used, where results from simulations are matched iteratively with those obtained experimentally. This procedure is, however, time-consuming and a large number of iterations is needed. This paper presents a new methodology for the inverse identification of material parameters by an optimization algorithm.