摘要
根据电火花加工工艺特点 ,建立基于遗传算法的加工过程人工神经网络模型 ,实现加工结果的预测。根据预测结果 ,在保证表面粗糙度要求的前提下 ,以最大加工速度为目标 ,用遗传算法实现加工参数的优化。实验结果表明以上算法可有效解决电火花加工条件优化的问题 ,自动生成加工参数 ,而且收敛速度较快 ,满足机床控制的要求。
According to EDM processing features, the machining process neural network is built based on genetic algorithm. It realizes the prediction of machining results. According to prediction and aimed at the fastest machining rate, machining parameters are optimized on the condition that parts' surface roughness is ensured. The experiment results show that the algorithm can optimize EDM machining parameters, and its convergence speed is rapid, which can meet machine control requirements.
出处
《机械科学与技术》
CSCD
北大核心
2002年第4期623-624,647,共3页
Mechanical Science and Technology for Aerospace Engineering
关键词
智能技术
建模
遗传算法
人工神经网络
电火花加工
参数优化
Genetic algorithm
Neural network
Electrical discharge machining(EDM)
Parameter optimization
