Analysis modeling of the accuracy for TRR-XY hybrid parallel kinematic machine tool based on the Siemen's PC-based controller

Shang Liang Chen, Yu Cheng Chang, Min Hsin Hsei, Tsann Huei Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parallel kinematic machine tool (PKM) is a new design concept and become a very popular research fields and attracts many previous researchers. The accuracy improvement of this machine tool is very important and essential for the applications of the machine tool into practical machining applications. Therefore, an error model analysis to understand the machining position error distribution for the PKM is focused in this research. A TRR-XY hybrid five DOF PKM is built for this research to investigate the error model and compensation theory. The manufacturing errors from the machining and assembly are defined based on the Siemen's PC-based controller. These errors are considered into the inverse kinematic solution. The effects of the manufacturing errors on the machining accuracy of the machine tool are discussed in this research.

Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
EditorsK.-C. Fan, F. Yetai, K-.C. Fan, F. Yetai
Pages4/531-4/539
Publication statusPublished - 2002 Dec 1
EventProceedings of the International Symposium on Precision Mechanical Measurement - Hefei, China
Duration: 2002 Aug 112002 Aug 16

Publication series

NameProceedings of the Second International Symposium on Instrumentation Science and Technology

Other

OtherProceedings of the International Symposium on Precision Mechanical Measurement
Country/TerritoryChina
CityHefei
Period02-08-1102-08-16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Analysis modeling of the accuracy for TRR-XY hybrid parallel kinematic machine tool based on the Siemen's PC-based controller'. Together they form a unique fingerprint.

Cite this