Monitoring Tool Wear in Drilling Process Using Spindle Noise Features

Charoenprasit, S., Seemuang, N. and Slatter, T. orcid.org/0000-0002-0485-4615 (2018) Monitoring Tool Wear in Drilling Process Using Spindle Noise Features. International Journal of Mechanical Engineering and Robotics Research, 7 (5). pp. 564-568. ISSN 2278-0149

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 International Journal of Mechanical Engineering and Robotics Research.
Keywords: tool wear monitoring; wear monitoring; drilling; spindle noise
Dates:
  • Accepted: 10 January 2018
  • Published (online): 1 September 2018
  • Published: 1 September 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Sep 2018 13:09
Last Modified: 17 Sep 2018 13:13
Published Version: http://www.ijmerr.com/index.php?m=content&c=index&...
Status: Published
Publisher: International Journal of Mechanical Engineering and Robotics Research
Refereed: Yes
Identification Number: https://doi.org/10.18178/ijmerr.7.5.564-568

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