Geometric error measurement of an ultra-precision machine tool using integrated confocal sensor

Zongchao Geng, Zhen Tong, Wenbin Zhong, Zhenting Zhang, Xiangqian Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The geometric error of an ultra-precision machine tool will degrade the form accuracy of machined surfaces. This paper proposes a error measurement method for a three-axis (XZC) ultra-precision machine tool based on an integrated confocal probe (1 kHz sampling rate and 9 nm repeatability). A variance-based global sensitivity analysis method was used to identify major error sources. To avoid potential alignment runout, a Φ30 mm brass bar was SPDT turned (Sa < 5 nm) and used as the artefact for the error measurement. The reveral method and improved multi-probe method were used to measure the straightness errors of linear slides and the radial/axial errors of the aerostatic spindle respectively. The results indicate that the straightness error of linear slide (EZX EYX EXZ EYZ) and axial/radial errors of the spindle (EXC EYC EZC) are major geometric error sources. The spindle axis offsets are within 20 nm and radial errors are less than 80 nm under tested spindle speeds (60/120/180/240 RPM).

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology
Subtitle of host publicationEUSPEN 2021
EditorsR. K. Leach, C. Nisbet, D. Phillips
Publishereuspen
Pages159-160
Number of pages2
ISBN (Electronic)9780995775190
Publication statusPublished - 10 Jun 2021
Event21st International Conference of the European Society for Precision Engineering and Nanotechnology - Virtual
Duration: 7 Jun 202110 Jun 2021
Conference number: 21
https://www.euspen.eu/events/21st-ice-virtual/

Conference

Conference21st International Conference of the European Society for Precision Engineering and Nanotechnology
Abbreviated titleEUSPEN 2021
CityVirtual
Period7/06/2110/06/21
Internet address

Fingerprint

Dive into the research topics of 'Geometric error measurement of an ultra-precision machine tool using integrated confocal sensor'. Together they form a unique fingerprint.

Cite this