Diagnosis of chatter type based on neural network

摘要：

By analyzing chatter dynamic model, the article studies chatter phenomenon between metal cutting tool and workpiece during the cutting. From the perspective of energy, phase position difference of chatter mark, phase position difference of vibration mode, lagging phase position angle and change rate about cutting force relative to the cutting speed are respectively determined as characteristic parameter of regenerative, coupling vibration, lagging and fricative mode of chatter. With the four input parameters, multilayer feed forward neural network learning algorithm is used to diagnose the type of cutting chatter, and experiments show that this method is effective.lt is essential to take appropriate measures on vibration suppression.

关键词： Chatter diagnosis Type BP neural network

作者: XIE Xiaozheng Zhao Rongzhen Jin Wuyin Yao Yunping

作者单位: School Of Mechanical & Electronical Engineering Lanzhou University of Technology Lanzhou, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 18-22

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）