Research on Multiple-objective Design Optimization and Multivariable Nonlinear Regressing of Hot Extrusion Process

Abstract

Abstract:

A method of extrusion process multiple-objective optimization was proposed based on numerical simulation and genetic algorithm. The extrusion force and the damages of the final forging were considered into the multiple-objective function. The hot extrusion forming was simulated by Deform software. The data of extrusion force and damages were acquired by designing the friction factor, extrusion speed and extrusion ratio. The mathematics models of deformation force and damages were established via multivariable nonlinear regressing. The evaluation model of multiple-objective design optimization was constructed by using the weighting function method. The optimal solution of the extrusion process parameters was calculated by an improved genetic algorithm. A case study was conducted for a thermal brass rod hot extrusion process, and the optimal parameters were obtained.

Key words: hot extrusion, numerical simulation, orthogonal experiment, multivariable nonlinear regressing, multiple-objective optimization, genetic algorithm(GA)

摘要：

通过DEFORM软件模拟热挤压成形,获得了挤压力、损伤值与摩擦因子、挤压速度、挤压比之间的关系。运用多元非线性回归技术建立了挤压力、损伤值的单目标优化数学模型,通过加权和法构造了多目标优化的评价函数,用改进的遗传算法计算了目标函数的优化解。铅黄铜棒热挤压成形工艺参数多目标优化仿真结果验证了该方法的有效性。

关键词:

热挤压, 数值模拟, 正交试验, 多元非线性回归, 多目标优化, 遗传算法

CLC Number:

TG306
TB11



ZHANG Jin-Biao, WANG Jing-Wen. Research on Multiple-objective Design Optimization and Multivariable Nonlinear Regressing of Hot Extrusion Process[J]. China Mechanical Engineering, 2010, 21(11): 1338-1341.

张金标, 王泾文.

热挤压工艺多元非线性回归与多目标优化技术研究

[J]. 中国机械工程, 2010, 21(11): 1338-1341.

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