Academic Journal of Engineering and Technology Science, 2020, 3(3); doi: 10.25236/AJETS.2020.030306.
Wenzhou Polytechnic, Wenzhou 325000, China
Based on the on-machine measurements feature sampling results, put forward a new way to get free-form surface processing errors, and the method of evaluation surface profile error, this method based on the feature sampling to get coordinate data, a few measuring points on the processing surface, Use the least square method to optimize the distance between the reconstructed surface and the original theoretical surface; To obtain the free-form surface machining error, and model surface profile error of experimental process to analyze. The experimental results show that, Surface reconstruction process surfaces method based on feature sampling can machine, effective obtain the free-form surface machining errors.
Feature sampling; On-machine measurement; NURBS surface; Machining error
Lijian Bian. On-machine Measurement Method of Machining Error Based on Mold Surface Feature Sampling. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 3: 40-50. https://doi.org/10.25236/AJETS.2020.030306.
 He Xueming, Kong Lijuan, He Junfei, et al (2014). Free-form surface inversion based on adaptive measurement of three coordinate measuring machine. Journal of Mechanical Engineering, vol.50, no.15, pp. 155-159.
 Zhang Hongjin (2013). On-machine measurement system control technology and measurement data extraction. Dalian University of Technology.
 Shi Enxiu, Guo Junjie, Zhou Hongju (2009). Research on in-machine measurement technology for large thin plate curved parts. Journal of Instrumentation, no.9, pp.1795-1800.
 Wang Zhiyong, Liu Wei, Zeng Tao, et al (2015). On-machine Measurement of Tooth Profile Error of Spiral Bevel Gear. Journal of Instrumentation, no.5, pp. 1047-1053.
 J. P. Choi, B. K. Min, S. J. Lee (2004). Reduction of machining errors of a three-axis machine tool by on-machine measurement and error compensation system. Journal of Materials Processing Technology, no.155-156, pp.2056-2064.