基于神经网络和遗传算法的绝缘陶瓷电火花加工电参数优化  

Optimization of electrical parameters of insulating ceramics EDM based on ANN and GA

作　　者：徐小兵[1] 莫易敏[2] 陈蔚鸿[1] 李应虎[1] 黄晶[1] 

机构地区：[1]长江大学机械工程学院,荆州434023 [2]武汉理工大学机电学院,武汉430070

出　　处：《机械设计与制造》2008年第4期125-127,共3页Machinery Design & Manufacture

摘　　要：针对电火花加工时选取合适工艺参数(如在表面粗糙度符合要求的前提下获得最大的加工速度)困难的问题,先以神经网络建立模型,然后结合遗传算法求解此约束优化问题,得到优化的电参数。并以绝缘陶瓷材料的电火花加工为例进行说明,结果显示,取得了很好的效果。Aim to the problems that the optimal technical parameters in EDM is difficult to be obta ined （for example, how to get the fastest machining rate under the premise that the surface roughness is up to the mustard）,the ANN model is presented, and then GA is used to solve the constrained optimization problem, the optimal electrical parameters can be obtained at last.Moreover, the EDM of insulating ceramics is given as an example to introduce this method.The results show that it achieves good effect.

关 键 词：神经网络 遗传算法 绝缘陶瓷 电火花加工 优化 

分 类 号：TH16[机械工程—机械制造及自动化] O224[理学—运筹学与控制论]