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Automatic Supervision of Machine Tools

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Book cover Automatic Supervision in Manufacturing

Part of the book series: Advanced Manufacturing Series ((ADVMANUF))

Abstract

Mechanical failures are by far the most significant non-controllable cause of lost production time in manufacturing systems. De Barr [1] estimates that these failures in conventional machine tools account for four times as much down-time as electrical failures. Kegg [2], Milacic and Majstorovic [3] suggest that in NC machines this ratio is at least 7 to 1. Detailed analysis of the component failure distribution in manufacturing systems can be found in [2–5]. According to these studies, the tool and workpiece changing systems may account for as much as 40% of down-time. Other basic components of machine tools, such as spindles, slides, bearings, gears and lubrication, are responsible for slightly over 10% of the lost production time. A thorough investigation of 44 lathes reported in [5] breaks down all components of these machines into 25 classes, including: control unit (NC, CNC, PLC), electric motor, bearing and spindle. For each class the frequency of failures and the average down-time per failure are estimated. According to these results, malfunctions of bearings and spindles alone account for about the same down-time as the control unit failures.

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  1. S. A. Spiewak
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  1. Warsaw University of Technology, Narbutta 86, 02-524, Warsaw, Poland

    Maciej Szafarczyk PhD

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© 1994 Springer-Verlag London Limited

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Spiewak, S.A. (1994). Automatic Supervision of Machine Tools. In: Szafarczyk, M. (eds) Automatic Supervision in Manufacturing. Advanced Manufacturing Series. Springer, London. https://doi.org/10.1007/978-1-4471-3458-9_8

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  • DOI: https://doi.org/10.1007/978-1-4471-3458-9_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-3460-2

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