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Tool Wear Condition Monitoring in Drilling Processes Using Fuzzy Logic

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Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4234))

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Abstract

During the era of the rapid automation of the manufacturing processes, the automation of the metal cutting and drilling process, which is one of the most crucial stages in the industrial process, has become inevitable. The most important difficulty in the automation of machining process is time and production loss that occurs as a result of tool wear and tool breakage. In this study, a fuzzy logic based decision mechanism was developed to determine tool wear condition by using cutting forces. The statistical parameters of the cutting forces collected during the drilling operation have been determined as variables for the membership functions of the fuzzy logic decision mechanism. The system developed in this study, successfully determined the tool wear condition in drilling processes.

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Author information

Authors and Affiliations

  1. Kocaeli University Mechatronic Engineering Department, Kocaeli, Turkey

    Onder Yumak & H. Metin Ertunc

Authors
  1. Onder Yumak
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  2. H. Metin Ertunc
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, New Territories,, China

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Yumak, O., Ertunc, H.M. (2006). Tool Wear Condition Monitoring in Drilling Processes Using Fuzzy Logic. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_56

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  • DOI: https://doi.org/10.1007/11893295_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46484-6

  • Online ISBN: 978-3-540-46485-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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