Numerical Simulation and Optimization of the Forging Process

Numerical Simulation and Optimization of the Forging Process
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锻造过程的数值模拟与优化

DOI:
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
P. Lasne
P. Lasne
中科院分区:
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文献类型:
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作者:
J. Chenot;P. Bouchard;L. Fourment;P. Lasne

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由于快速并行计算机的不断增加,自动优化工业成形条件以达到预期的目标成为可能。优化要求计算机模拟足够精确,材料行为被精确识别,优化参数被适当选择。为了实现第一个目标,基本的力学假设和三维有限元离散化的基本原则简要回顾。文中还介绍了大塑性变形数值计算的几个重要进展。第二个要求是满足不仅由实验测试和本构律的材料参数的识别。是否也有必要通过引入损伤模型来预测裂纹等缺陷的可能发生。在优化之前,必须进行参数敏感性分析,以选择最重要的因素:形状的预成型件,工具的几何形状等。实际的优化可以进行与表面响应方法相关联的进化算法技术。将提出几个应用程序的例子来说明与FORGE 3计算机代码的程序的有效性。优化标准可以是成形力、材料重量或零件的最终强度。
The objective of optimizing automatically industrial forming conditions in order to achieve a desired objective goal is now possible due to continuous increase of fast and parallel computers. Optimization requires that the computer simulation is accurate enough, that the material behavior is precisely identified and that the optimization parameters are properly selected. To achieve the first goal, the fundamental mechanical assumptions and the basic principles of three-dimensional finite element discretization are briefly recalled. Several important numerical developments for efficient computation of large plastic deformation are mentioned. The second requirement is fulfilled not only by experimental tests and identification of the material parameters of the constitutive law. Is it also necessary to predict the possible onset of defects such as cracking by introducing damage modeling. Before optimization, a parameter sensitivity analysis must be performed in order to select the most important factors: shape of the preform, tools geometry, etc. The practical optimization can be carried out by a evolutionary algorithm technique associated with a surface response method. Several examples of applications will be presented to illustrate the effectiveness of the procedure with the FORGE3 computer code. The optimization criterion can be on the forming force, on the material weight or on the final strength of the part.