切削参数智能生成技术研究  

Research of Cutting Parameter Intelligence Generation Technology

作　　者：胡贤金[1] 

机构地区：[1]成都工具研究所有限公司信息中心,成都市教授级高级工程师610051

出　　处：《工具技术》2012年第9期81-86,共6页Tool Engineering

摘　　要：为提高先进制造装备的应用水平,在已有切削数据基础上如何自动生成更多的切削参数是一个重要但难以获得满意解决方案的课题。本文提出一种以基本切削数据库为基础综合利用多种人工智能技术,通过学习修正、记忆、实时生成对实际加工环境具有广泛适应能力的最佳切削参数的新方法。以回归分析和BP神经网络为例进行了阐述,并给出了具体实例。It is an important issue that automatically generating more cutting parameters for improving operating level of the advanced manufacturing equipment. A new method, which is used to generate optimum cutting parameter to adapt the concret cutting environment, is presented. The principle of this method is comprehensive utilization multiple artificial intelligent technique based on the basic cutting database to select cut（er and yield the cutting parameter, according to the machining status, if necessary, it can regenerate the new optimum parameter adapting the technical requirements through learning, correction and memory. It devotes regression analysis and back propagation neural networks to the subject, and gives instantiations.

关 键 词：切削试验数据回归 BP神经网络 切削参数智能生成 

分 类 号：TG50[金属学及工艺—金属切削加工及机床]