Search:
Computing and Library Services - delivering an inspiring information environment

Investigation of acoustic emission signals under a simulative environment of grinding burn

Liu, Qiang, Chen, Xun and Gindy, Nabil (2006) Investigation of acoustic emission signals under a simulative environment of grinding burn. International Journal of Machine Tools and Manufacture, 46 (3-4). pp. 284-292. ISSN 08906955

[img] PDF
Restricted to Repository staff only

Download (568kB)

    Abstract

    Grinding burn is a common phenomenon of thermal damage that has been one of the main constraints in grinding in respect of high efficiency and quality. An acoustic emission (AE) technique was tried in an attempt to identify grinding burn on-line. However, the AE features of grinding burn are relatively weak and are easily obscured by other AE sources. This paper presents an investigation of the AE features of the thermal expansion induced by laser irradiation, which was designed to simulate grinding thermal behaviour. By using wavelet packet transforms, AE features at the grinding burn temperature can successfully be extracted without other mechanical interferential factors. Such thermal AE features provide a firm foundation for analysing and monitoring the AE features of grinding burn.

    Item Type: Article
    Additional Information: UoA 25 (General Engineering)
    Subjects: T Technology > TJ Mechanical engineering and machinery
    T Technology > TS Manufactures
    T Technology > TA Engineering (General). Civil engineering (General)
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Centre for Precision Technologies
    School of Computing and Engineering > Centre for Precision Technologies > Advanced Machining Technology Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Informatics Research Group
    Related URLs:
    Depositing User: Graham Stone
    Date Deposited: 20 Oct 2008 13:09
    Last Modified: 10 Dec 2010 10:06
    URI: http://eprints.hud.ac.uk/id/eprint/2299

    Document Downloads

    Downloader Countries

    More statistics for this item...

    Item control for Repository Staff only:

    View Item

    University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©