Review on Structure-Based Errors of Parallel Kinematic Machines in Comparison with Traditional NC Machines

Rao Fu, Yan Jin, Lujia Yang, Dan Sun, Adrian Murphy, Colm Higgins

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

4 Citations (Scopus)
688 Downloads (Pure)

Abstract

Machining technology is developed with increasing flexibility to adapt to the rapid changes of the market. Parallel kinematic machines (PKMs)have demonstrated great flexibility to suit the demands, but it is still not possible to achieve as high accuracy as the traditional NC machines (TNCMs).This paper presents a general review on the structure-based errors of PKMs incomparison with TNCMs to reveal the root causes of the errors and their relevance to the machining uncertainty. The geometric/kinematic, gravitational,and thermal aspects in both TNCMs and PKMs are identified as structure-based error sources. Errors in each aspect are comparatively analyzed, and inherent differences are found to bring new challenges to the accuracy of PKMs. Finally,perspectives in each aspect are highlighted for accuracy improvement of PKMs.
Original languageEnglish
Title of host publicationRecent Advances in Intelligent Manufacturing
Subtitle of host publicationCommunications in Computer and Information Science
EditorsShilong Wang, Mark Price, Ming K. Lim, Yan Jin, Yuanxin Luo, Rui Chen
Place of PublicationSingapore
PublisherSpringer
Pages249-256
Volume923
ISBN (Electronic)978-981-13-2396-6
ISBN (Print)978-981-13-2395-9
DOIs
Publication statusPublished - 22 Sept 2018

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
ISSN (Electronic)1865-0929

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