Paper
19 October 2016 New time-domain three-point error separation methods for measurement roundness and spindle error motion
Wenwen Liu, Tingting Tao, Hao Zeng
Author Affiliations +
Proceedings Volume 10155, Optical Measurement Technology and Instrumentation; 101550Y (2016) https://doi.org/10.1117/12.2245100
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
Error separation is a key technology for online measuring spindle radial error motion or artifact form error, such as roundness and cylindricity. Three time-domain three-point error separation methods are proposed based on solving the minimum norm solution of the linear equations. Three laser displacement sensors are used to collect a set of discrete measurements recorded, by which a group of linear measurement equations is derived according to the criterion of prior separation form (PSF), prior separation spindle error motion (PSM) or synchronous separation both form and spindle error motion (SSFM). The work discussed the correlations between the angles of three sensors in measuring system, rank of coefficient matrix in the measurement equations and harmonics distortions in the separation results, revealed the regularities of the first order harmonics distortion and recommended the applicable situation of the each method. Theoretical research and large simulations show that SSFM is the more precision method because of the lower distortion.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenwen Liu, Tingting Tao, and Hao Zeng "New time-domain three-point error separation methods for measurement roundness and spindle error motion", Proc. SPIE 10155, Optical Measurement Technology and Instrumentation, 101550Y (19 October 2016); https://doi.org/10.1117/12.2245100
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Spindles

Error analysis

Laser metrology

Metrology

Motion measurement

Sensors

Back to Top