基于BP神经网络的汽车发动机凸轮轴数控磨削加工工艺优化  

Optimization of NC Camshaft Grinding Process Based on BP Neural Network

作　　者：吴明 

机构地区：[1]安徽省广通汽车制造有限公司,安徽合肥230000

出　　处：《湖南理工学院学报（自然科学版）》2013年第4期36-39,共4页Journal of Hunan Institute of Science and Technology(Natural Sciences)

摘　　要：随着汽车工业的迅速发展,作为汽车发动机的关键零件,凸轮轴的需求量越来越大,对其加工质量和加工效率的要求也越来越高.本文概述了凸轮轴磨削加工的现状,介绍了人工神经网络特别是BP神经网络的相关理论,最后采用BP神经网络算法对凸轮轴磨削加工部分工艺参数进行优化.Camshaft is a key part of automobile engine. With the rapid development of automobile industry, the demand for camshaft is growing and the requirements for its processing quality and efficiency are increasingly high. In this paper, the current situation of camshaft grinding is summarized. The artificial neural network theory, especially BP neural network, is introduced. Finally, some processing parameters for camshaft grinding are optimized based on BP neural network algorithm.

关 键 词：凸轮轴 数控磨削加工 BP神经网络 工艺优化 

分 类 号：TG580.6[金属学及工艺—金属切削加工及机床]