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Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic

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Advances in Type-2 Fuzzy Sets and Systems

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 301))

Abstract

Reliable tool life estimation of cutting tool in micromilling is essential for planning machining operations for maximum productivity and quality. This chapter presents type-2 fuzzy tool life estimation system. In this system, type-2 fuzzy analysis is used as not only a powerful tool to model acoustic emission signal features, but also a great estimator for the ambiguities and uncertainties associated with them. Depending on the estimation of root-mean-square-error and variations in modeling results of all signal features, reliable ones are selected and integrated to cutting tool life estimation.

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Acknowledgments

The data for the experimental study described in this chapter were collected by Micromachining Laboratory at Mondragón University in Spain, in collaboration with Prof. Krzysztof Jemielniak.

The authors wish to acknowledge the anonymous reviewers for their detailed and helpful comments to the manuscript.

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Authors and Affiliations

  1. Mechanical Engineering Department, Polytechnique Montréal, University of Montreal, C.P. 6079, succ. Centre-Ville, Montréal, Québec, H3C 3A7, Canada

    Qun Ren, Luc Baron & Marek Balazinski

  2. Faculty of Production Engineering, Warsaw University of Technology, Narbutta 86, 02-524, Warsaw, Poland

    Krzysztof Jemielniak

Authors
  1. Qun Ren
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  2. Luc Baron
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  3. Marek Balazinski
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  4. Krzysztof Jemielniak
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Corresponding author

Correspondence to Qun Ren .

Editor information

Editors and Affiliations

  1. Ryerson University, Victoria Street 350, Toronto, M5B 2K3, Ontario, Canada

    Alireza Sadeghian

  2. Hughes Aircraft Electrical Engineering B, Department of Electrical Engineering - S, University of Southern California, 3740 McClintock Ave., Los Angeles, 90089-2564, California, USA

    Jerry M. Mendel

  3. Ryerson University, Victoria Street 350, Toronto, M5B 2K3, Ontario, Canada

    Hooman Tahayori

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Ren, Q., Baron, L., Balazinski, M., Jemielniak, K. (2013). Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic. In: Sadeghian, A., Mendel, J., Tahayori, H. (eds) Advances in Type-2 Fuzzy Sets and Systems. Studies in Fuzziness and Soft Computing, vol 301. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6666-6_13

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  • DOI: https://doi.org/10.1007/978-1-4614-6666-6_13

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6665-9

  • Online ISBN: 978-1-4614-6666-6

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