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Accuracy Improvement and Process Flow Adaption for Robot Machining

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Digital Conversion on the Way to Industry 4.0 (ISPR 2020)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Complex structures and a high level of customization in architecture and construction industries require the usage of industrial robots for milling or additive manufacturing applications. Due to economic aspects and the intensive research on robot machining, conventional machine tools are increasingly superseded for specific tasks by industrial robots. However, assembling errors during the manufacturing process and low structural stiffness of industrial robots are still main reasons for inaccuracies of robotic based machining. This paper presents a comparison between industrial robots and cnc machine tools and evaluates their strength and weaknesses. Furthermore, recently published works considering robot calibration and offline compensation strategies in order to increase the absolute and machining accuracy are presented. Finally, the adaption of an existing robot machining process chain with additional components underlines the potential of robots for machining tasks.

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Authors and Affiliations

  1. Competence Center Digital Manufacturing & Robotics, Department Industrial Engineering, UAS Technikum, Vienna, Austria

    Martin Kainrath, Mohamed Aburaia, Kemajl Stuja, Maximilian Lackner & Erich Markl

Authors
  1. Martin Kainrath
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  2. Mohamed Aburaia
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  3. Kemajl Stuja
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  4. Maximilian Lackner
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  5. Erich Markl
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Corresponding author

Correspondence to Martin Kainrath .

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Editors and Affiliations

  1. Research Group for Production Metrology and Adaptronic Systems, TU Wien (Vienna University of Technology), Vienna, Wien, Austria

    Numan M. Durakbasa

  2. Faculty of Engineering, Industrial Engineering Department, İstanbul Aydın University, İstanbul, Turkey

    M. Güneş Gençyılmaz

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Kainrath, M., Aburaia, M., Stuja, K., Lackner, M., Markl, E. (2021). Accuracy Improvement and Process Flow Adaption for Robot Machining. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digital Conversion on the Way to Industry 4.0. ISPR 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-62784-3_16

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  • DOI: https://doi.org/10.1007/978-3-030-62784-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62783-6

  • Online ISBN: 978-3-030-62784-3

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