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Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method

机译:基于响应面法的精密锻造工艺参数多目标优化

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In order to control the precision forging forming quality and improve the service life of die, a multiobjective optimization method for process parameters design was presented by applying Latin hypercube design method and response surface model approach. Meanwhile the deformation homogeneity and material damage of forging parts were proposed for evaluating the forming quality. The forming load of die was proposed for evaluating the service life of die. Then as a case of study, the radial precision forging for a hollow shaft with variable cross section and wall thickness was carried out. The 3D rigid-plastic finite element (FE) model of the hollow shaft radial precision forging was established. The multiobjective optimization forecast model was established by adopting finite element results and response surface methodology. Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. A compromise solution was selected from the Pareto solutions by using the mapping method. In the finite element study on the forming quality of forging parts and the service life of dies by multiobjective optimization process parameters, the feasibility of the multiobjective optimization method presented by this work was verified.
机译:为了控制精密锻件的成形质量,提高模具的使用寿命,采用拉丁超立方体设计方法和响应面模型方法,提出了一种多目标的工艺参数设计优化方法。同时,提出了锻件变形均匀性和材料损伤的评估方法。为了评估模具的使用寿命,提出了模具的成型负荷。然后,作为研究案例,对横截面和壁厚可变的空心轴进行了径向精锻。建立了空心轴径向精密锻造的3D硬塑性有限元(FE)模型。采用有限元结果和响应面方法建立了多目标优化预测模型。采用非支配排序遗传算法-II(NSGA-II)求解帕累托最优解。使用映射方法从帕累托解决方案中选择一个折衷解决方案。在利用多目标优化工艺参数进行锻件成形质量和模具使用寿命的有限元研究中,验证了本文提出的多目标优化方法的可行性。

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