Sun Zizhou, Dai Yifan, Hu Hao, Tie Guipeng, Guan Chaoliang, Chen Xuelei
College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China.
Hunan Key Laboratory of Ultra-Precision Machining Technology, Changsha 410073, China.
Materials (Basel). 2020 May 28;13(11):2458. doi: 10.3390/ma13112458.
The application of ultra-precision shaft parts is widely used, such as the spindle core of the air bearing spindle in ultra-precision machine tools. The precision of the spindle core is extremely high, and it is very difficult to obtain directly by traditional Computer Numerical Control (CNC) machine tools but is mostly obtained by manual grinding, whose machining efficiency is greatly limited. Based on the deterministic figuring theory, this paper focuses on the ultra-precision roundness, optimizing the filtering parameters of the measurement error data and studying the generation mechanism of the removal function morphology; the shape of the removal function is adjusted by combining the analysis of the figuring ability and positioning error. Finally, the optimized removal function is used on an experimental steel shaft, the average roundness convergence ratio is 72% higher than that of the original removal function, and the roundness reaches a 0.1 μm level. The result shows that a reasonable filtering of measured data and the removal function adjusted for the surface feature can improve the efficiency and precision of deterministic figuring on shaft parts.
超精密轴类零件应用广泛,如超精密机床空气轴承主轴的主轴芯。主轴芯精度极高,传统计算机数控(CNC)机床很难直接加工获得,大多通过手工研磨,加工效率极为有限。基于确定性修形理论,本文聚焦超精密圆度,优化测量误差数据的滤波参数,研究去除函数形貌的生成机制;结合修形能力和定位误差分析调整去除函数形状。最后,将优化后的去除函数应用于实验钢轴,平均圆度收敛率比原去除函数提高72%,圆度达到0.1μm水平。结果表明,对测量数据进行合理滤波以及针对表面特征调整去除函数,可提高轴类零件确定性修形的效率和精度。