摘要
磨削加工光磨时间、加工节拍直接体现磨削加工参数,粗磨过程的好坏是磨削过程的关键,磨削过程声发射信号粗磨段上升部分包含着磨削过程最丰富的信息,采用平均三角分配模糊规则对磨削过程声发射信号粗磨段上升部分进行知识获取和自学习,建立磨削加工光磨时间、加工节拍与磨削声发射曲线粗磨段上升部分斜率之间的对应关系,据此可得到任意光磨时间、加工节拍时对应的磨削声发射曲线粗磨段上升部分斜率。以此判断加工参数选择的合理性,以实现磨削加工的加工参数自动选择和智能控制,确保加工质量,实现磨削过程加工参数在线调整、磨削智能化。
Buffing time and takt time in grinding process incarnated the grinding process parameters directly.Roughing process is the key of grinding and the rising part of acoustic emission signal curve in roughing process contains most abundant information.The fuzzy rule based on the triangular partition evenly was adapted for knowledge acquisition and learning process from the rising roughing part of grinding acoustic emission signal to establish corresponding relation between buffing time,takt time and gradient of rising roughing part of grinding acoustic emission signal curve.Thus the gradient of rising roughing part of grinding acoustic emission signal curve corresponding to any buffing time and takt time is obtained.In this way the rationality in selecting machining parameters could be estimated in order to select automatically and control intelligently the machining parameters in grinding process.Therefore the machining quality is ensured as well as on-line adjustment for machining parameters and intelligentized grinding in grinding process are realized.
出处
《机械设计与制造》
北大核心
2012年第5期267-269,共3页
Machinery Design & Manufacture
基金
上海市科学技术委员会科研基金资助项目-上海数控机床优化技术服务平台建设(10DZ2292100)
关键词
平均三角分配
声发射
智能磨削
消记忆递推算法
Triangular partition evenly（TPE）
Acoustic emission（AE）
Intelligent brinding
Elimination-anamnesis recursion method（EARM）
