基于RBR-GA-BP集成的凸轮轴数控磨削工艺智能推理

摘要

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.%磨削加工工艺方案智能推理一直是困扰制造企业的难题.当前选择磨削加工工艺方案的方式仍以传统的试切法和经验法为主.为此,提出一种基于规则推理理论(Rule-based Reasoning,RBR)、遗传算法(Genetic Algorithm,GA)和BP神经网络(BP neural network,BP)等多种智能技术集成的凸轮轴数控磨削工艺智能推理模型体系结构.建立了基于变量+事实+规则的三层结构体系,推理策略采用正、反向混合推理、置信度和活性度综合排序的方式来进行冲突消解;构建了5×12×8三层GA-BP网络拓扑模型,采用测试样本对模型进行测试,结果表明,85.42％的预测值的百分比误差处于±10％以内.以某型凸轮轴毛坯加工为例,验证了凸轮轴数控磨削工艺智能推理模型的有效性.