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Hot Forging Process Design Optimization Based on Approximate Model and FEM Simulation

机译:基于近似模型和有限元模拟的热锻造工艺设计优化

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Technology and die design are very important in the development of forging products due to its great influence on the quality, cost and manufacturing efficiency of the final products as well as the life of the forging die. In the environment of the severe competition, how to improve the quality of forging technology and die design, to reduce the product cost and ultimately to enhance competitiveness of the forging factory are the problems that forging technology and die designer have to solve. In order to improve the quality of forging technology and die design, a design optimization method based on approximate model (response surface model) and FEM technique for hot forging process is proposed in this paper. During design optimization process, finite element analysis is incorporated to calculate the objective function and check the design alternatives. Design of experiment (DOE) method is used to collect sample points and calculate the polynomial coefficients of response surface model, and approximate model is used to calculate the optimum search direction. Finally, a case study is conducted for a gear workpiece hot forging process. The objective function is the degree of uniformity of equivalent-strain, which can be defined as mean square deviation of the equivalent-strain in each element and the average equivalent-strain of all elements, and the design parameters are the initial H0/D0 ratio of billet and the key dimensions of the die. Then the design optimization mathematical model is established. The result shows that the objective function value is dropped from 0.7914 and converges at 0.4843 within 17 iterations, the optimal design parameters are obtained.
机译:技术和模具设计在锻造产品的发展中非常重要,因为它对最终产品的质量,成本和制造效率以及锻造模具的寿命影响很大。在环境的环境中,如何提高锻造技术和模具设计的质量,减少产品成本,最终提高锻造工厂的竞争力是锻造技术和模具设计师必须解决的问题。为了提高锻造技术和模具设计的质量,本文提出了一种基于近似模型(响应面模型)和有限元技术的设计优化方法。在设计优化过程中,合并有限元分析以计算目标函数并检查设计替代方案。实验(DOE)方法的设计用于收集采样点并计算响应面模型的多项式系数,并且使用近似模型来计算最佳搜索方向。最后,对齿轮工件热锻过程进行了案例研究。目标函数是等效菌株的均匀性,其可以定义为每个元素中等效菌株的平均方形偏差和所有元素的平均等效菌株,并且设计参数是初始H0 / D0比率坯料和模具的关键尺寸。然后建立了设计优化数学模型。结果表明,目标函数值从0.7914掉落,并在17次迭代中收敛在0.4843中,获得最佳设计参数。

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