现代制造工程Issue(3)：71-76,6.DOI:10.16731/j.cnki.1671-3133.2017.03.012
基于RBR-GA-BP集成的凸轮轴数控磨削工艺智能推理
Research on intelligent reasoning of camshaft NC grinding process based on RBR-GA-BP
摘要
Abstract
A problem for manufacturing enterprises is how to obtain grinding process plans intelligently.Currently choosing the grinding process plans is still focus on the traditional "test cut" method and "experience" law.On the basis of,an intelligent reasoning model of camshaft NC grinding process based on rule-based reasoning,genetic algorithm and BP neural network methods is introduced.Its structure is constructed by three layers including variable,fact and rule.Mixed reasoning with positive and negative position,an integrated sort of confidence and activity to realize conflict resolution is used in reasoning strategy.A 5 × 12 × 8 GABP network topology model is established.After testing,the results show that for 85.42％ of the predicted values their percentage errors are within ± 10％.Its effectiveness is verified by applying the model to process.关键词
规则推理/遗传算法/BP神经网络/凸轮轴磨削/工艺智能推理Key words
Rule-based Reasoning (RBR)/Genetic Algorithm (GA)/BP neural network (BP)/camshaft grinding/process intelligent reasoning分类
矿业与冶金引用本文复制引用
张晓红,邓朝晖,万林林,刘伟..基于RBR-GA-BP集成的凸轮轴数控磨削工艺智能推理[J].现代制造工程,2017,(3):71-76,6.基金项目
国家自然科学基金青年项目(51405158) （51405158）
国家863高科技资助项目(2014AA041504) （2014AA041504）
中国博士后科学基金面上一等资助项目(2013M540626) （2013M540626）
