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。
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.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2010年第11期1338-1341,共4页
China Mechanical Engineering
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
hot extrusion
numerical simulation
orthogonal experiment
multivariable nonlinear regressing
multiple- objective optimization
genetic algorithm （GA）
