MACHINE TOOL ABILITY REPRESENTATION: A REVIEW

Journal Title: Journal of Machine Engineering - Year 2018, Vol 18, Issue 2

Abstract

Smart manufacturing and predictive maintenance are current trends in the manufacturing industry. However, the holistic understanding of the machine tool health condition in terms of accuracy, functions, process and availability is still unclear. This uncertainty renders the development of models and the data acquisition related to machine tool health condition ineffective. This paper proposes the term machine tool ability as an interconnection between the accuracy, functions, the process and the availability to overcome the lack of the holistic understanding of the machine tool. This will facilitate the further development of qualitative or quantitative methods as well as models. The research highlights the challenges and gaps to understand the machine tool ability.<br/><br/>

Authors and Affiliations

Logesh SADASIVAM, Andreas ARCHENTI, Ulf SANDBERG

Keywords

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  • EP ID EP346526
  • DOI 10.5604/01.3001.0012.0919
  • Views 61
  • Downloads 0

How To Cite

Logesh SADASIVAM, Andreas ARCHENTI, Ulf SANDBERG (2018). MACHINE TOOL ABILITY REPRESENTATION: A REVIEW. Journal of Machine Engineering, 18(2), 5-16. https://europub.co.uk./articles/-A-346526