金刚石与磨料磨具工程Issue(3)：34-38,5.DOI:10.13394/j.cnki.jgszz.2014.3.0008
基于正交试验-遗传神经网络的凸轮轴高速磨削参数优化
Parameters optimization on high speed grinding of camshaft using orthogonal experiment and genetic neural network
摘要
Abstract
X-C axis linkage was used to machine cold shock cast iron camshaft on the CNC8325 ultrahigh speed camshaft grinder.Orthogonal test were designed to analyze the influence of process parameters on the machining quality with range method and variance method.A nonlinear mapping relationship was established between the machining quality and process parameters by genetic neural network algorithm.Results showed that the genetic neural network algorithm was improved and that the grinding parameters were optimized.It could also shorten the machining time and improve the machining quality.关键词
冷激铸铁凸轮轴/高速磨削/正交试验/遗传神经网络Key words
cold shock cast iron camshaft/high speed grinding/orthogonal experiment/genetic neural network分类
矿业与冶金引用本文复制引用
邓朝晖,黄强,彭欢欢,粟福喻..基于正交试验-遗传神经网络的凸轮轴高速磨削参数优化[J].金刚石与磨料磨具工程,2014,(3):34-38,5.基金项目
国家自然科学基金(51175163) （51175163）
湖南省自然科学基金重点(12JJ2027) （12JJ2027）
湖南省教育厅科学研究重点项目(12A048)。 （12A048）
