基于模糊神经网络的工程陶瓷电火花加工工艺模型研究  

Optimization of electrical parameter in electrical discharge machining of engineering ceramics based on fuzzy neural network

作　　者：王鹤[1] 邵凤翔[1] 李辉[1] 王鑫[1] 李雪[2] 

机构地区：[1]河南工程学院机械工程学院,郑州451191 [2]南京工程学院机械工程学院,南京211167

出　　处：《现代制造工程》2016年第8期130-133,共4页Modern Manufacturing Engineering

基　　金：河南省高等学校重点科研项目(15B460001)

摘　　要：针对工程陶瓷电火花特种加工技术本身的特点,提出一种利用模糊神经网络来对工程陶瓷电火花加工的加工效果进行预测的智能控制方法。该方法融合了模糊控制理论和神经网络技术的优点,建立了工程陶瓷电火花加工过程中的加工速度和表面粗糙度随着工艺电参数变化的预测模型。实验结果表明应用该模型能够精确地预测出给定条件下的加工速度和表面粗糙度,其相对误差较小,从而验证了该模型的可靠性和可行性。According to the characteristics of electrical discharge machining of engineering ceramics which is a special process technology, brings up an intelligent control method that can predict process effect of engineering ceramics by electrical discharge machining based on the fuzzy neural network. This method integrate the advantage of fuzzy control theory and neural network technology and establish prediction model to predict the changes of processing speed and surface roughness according to electrical parametric variation in the process of engineering ceramics electrical discharge machining. Experimental results show that the ap- plication of the model can accurately predict the machining speed and surface roughness under given condition,the relative error is smaller, thus validating the reliability and feasibility of the model.

关 键 词：工程陶瓷 电火花加工 模糊控制 神经网络 

分 类 号：TH161.1[机械工程—机械制造及自动化]