锥形件智能化拉深系统中材料参数和摩擦系数的在线识别  

ON-LINE IDENTIFICATION OF MATERIAL PARAMETERS AND FRICTION COEFFICIENT DURING INTELLIGENT CONTROL OF CONICAL WORKPIECE DEEP DRAWING

作　　者：赵军[1] 

机构地区：[1]燕山大学,秦皇岛066004

出　　处：《塑性工程学报》2001年第3期48-52,共5页Journal of Plasticity Engineering

基　　金：国家自然科学基金资助项目 (编号 :5 9875 0 74)

摘　　要：以拉深过程的解析模拟为基础 ,采用非线性最小二乘曲线拟合原理实现了锥形件拉深智能化控制中材料参数和摩擦系数的在线识别。进而给出了材料参数已知时 ,摩擦系数识别非线性问题的一种线性化算法。实验验证结果表明 。Based on analytical simulation of deep drawing process,by using nonlinear parameter least square fitting,the on line identification of material parameters and friction coefficient is realized during intelligent control of conical workpiece deep drawing.A kind of linearized algorithm is given out to identify the friction coefficient when the material parameters are known.Experiments show that the above algorithms are practicable.

关 键 词：拉深系统 智能化 材料参数 摩擦系数 在线识别 锥形件 

分 类 号：TG35[金属学及工艺—金属压力加工]