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

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Recent Advances in Intelligent Manufacturing (ICSEE 2018, IMIOT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 923))

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 in comparison 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.

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Acknowledgments

It is supported by EPSRC UK under project EP/P025447/1, EP/P026087/1, and EU H2020 RISE 2016 - ECSASDPE 734272 project.

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Authors and Affiliations

  1. School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Stranmillis Road, Belfast, BT9 5AG, UK

    Rao Fu, Yan Jin, Dan Sun & Adrian Murphy

  2. School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, 116024, People’s Republic of China

    Lujia Yang

  3. Northern Ireland Technology Centre, Queen’s University Belfast, Cloreen Park, Malone Road, Belfast, BT9 5HN, UK

    Colm Higgins

Authors
  1. Rao Fu
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  2. Yan Jin
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  3. Lujia Yang
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  4. Dan Sun
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  5. Adrian Murphy
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  6. Colm Higgins
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Corresponding author

Correspondence to Yan Jin .

Editor information

Editors and Affiliations

  1. Chongqing University, Chongqing, China

    Shilong Wang

  2. Queen’s University Belfast, Belfast, UK

    Mark Price

  3. Chongqing University, Chongqing, China

    Ming K. Lim

  4. Queen’s University Belfast, Belfast, UK

    Yan Jin

  5. Chongqing University, Chongqing, China

    Yuanxin Luo

  6. Chongqing University, Chongqing, China

    Rui Chen

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Fu, R., Jin, Y., Yang, L., Sun, D., Murphy, A., Higgins, C. (2018). Review on Structure-Based Errors of Parallel Kinematic Machines in Comparison with Traditional NC Machines. In: Wang, S., Price, M., Lim, M., Jin, Y., Luo, Y., Chen, R. (eds) Recent Advances in Intelligent Manufacturing . ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 923. Springer, Singapore. https://doi.org/10.1007/978-981-13-2396-6_23

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  • DOI: https://doi.org/10.1007/978-981-13-2396-6_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2395-9

  • Online ISBN: 978-981-13-2396-6

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