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    Acoustic Emission Sensing of Tool Wear in Face Milling

    Source: Journal of Manufacturing Science and Engineering:;1987:;volume( 109 ):;issue: 003::page 234
    Author:
    E. N. Diei
    ,
    D. A. Dornfeld
    DOI: 10.1115/1.3187124
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Acoustic Emission (AE) signal analysis was applied to on-line sensing of tool wear in face milling. Cutting tests were conducted on a vertical milling machine. AE signals, feed and normal components of cutting force and flank wear were measured and compared. A signal processing scheme for intermittent cutting forces and AE signals, based on the concept of time domain averaging (TDA) is proposed. The results indicate that both AE and cutting forces have parameters that correlate closely with flank wear.
    keyword(s): Wear , Acoustic emissions , Milling , Cutting , Force , Signals , Milling machines AND Signal processing ,
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      Acoustic Emission Sensing of Tool Wear in Face Milling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/102669
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    contributor authorE. N. Diei
    contributor authorD. A. Dornfeld
    date accessioned2017-05-08T23:25:07Z
    date available2017-05-08T23:25:07Z
    date copyrightAugust, 1987
    date issued1987
    identifier issn1087-1357
    identifier otherJMSEFK-27725#234_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/102669
    description abstractAcoustic Emission (AE) signal analysis was applied to on-line sensing of tool wear in face milling. Cutting tests were conducted on a vertical milling machine. AE signals, feed and normal components of cutting force and flank wear were measured and compared. A signal processing scheme for intermittent cutting forces and AE signals, based on the concept of time domain averaging (TDA) is proposed. The results indicate that both AE and cutting forces have parameters that correlate closely with flank wear.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAcoustic Emission Sensing of Tool Wear in Face Milling
    typeJournal Paper
    journal volume109
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3187124
    journal fristpage234
    journal lastpage240
    identifier eissn1528-8935
    keywordsWear
    keywordsAcoustic emissions
    keywordsMilling
    keywordsCutting
    keywordsForce
    keywordsSignals
    keywordsMilling machines AND Signal processing
    treeJournal of Manufacturing Science and Engineering:;1987:;volume( 109 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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