摘要
针对磨齿机大齿轮齿形加工误差扫描式在机测量过程中存在的数据量大,易受机床运动影响等问题,提出一种基于趋势放大的数据折点辨识算法自动辨识有效数据,采用小波变换提取齿形宏观形状轮廓,以最小二乘法分离齿廓三项偏差的数据处理方法,获取准确的齿形误差形貌。在磨齿机上进行了齿形在机实际测量。结果表明,该方法不仅能够全面精准地评价齿形误差,而且还能够准确表达齿面误差形貌及误差出现的位置,且重复性、稳定性好。
On-machine scanning measurement for large gear profile error on gear grinding has large amount of data and is motion-sensitive. In this regard,a data processing method is proposed,which includes identification effective data based on finding the break points through enlarging the change trend,using wavelet analysis method to extract the macroscopic shape outline and machining error analysis. Experiments for gear profile error on-machine measurement in the grinding machine showed that this method can not only more comprehensively and accurately evaluate the tooth profile error,but also can accurately represent the morphologies of tooth surface and error location,and that it has high repeatability and good stability.
作者
乔卫东
王春军
高峰
赵柏涵
李艳
Qiao Weidong;Wang Chunjun;Gao Feng;Zhao Bohan;Li Yah(School of Mechanical and Precision Instrument Engineering, Xi＇an University of Technology, Xi＇an 710048, China)
出处
《机械科学与技术》
CSCD
北大核心
2018年第6期921-925,共5页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(51375382)
国家科技重大专项项目(2014ZX04001-191)资助
关键词
在机
扫描式测量
数据处理
小波变换
齿形误差
on-machine
measurement
data processing
wavelet transform
profile error
