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    Signature Analysis Applied to Drilling

    Source: Journal of Mechanical Design:;1982:;volume( 104 ):;issue: 002::page 268
    Author:
    S. Braun
    ,
    C. L. Wu
    ,
    E. Lenz
    DOI: 10.1115/1.3256335
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper investigates the relationship between drill life, the sound, and the drift forces produced by the drilling process. Tests were performed while drilling steel with 38 in. twist drills. As a tool life criterion, the wear of the drill lips was monitored. Typical signals are described, and various signal processing techniques presented in view of characterizing them. These include time, frequency, and amplitude domain techniques. It is shown that specific signal patterns that occur with increasing lip wear show definite trends which can be followed by some analysis techniques. A discrete point process, derived from the signal’s spectrum, has been found specifically valuable. Results shown for actual data using these signal analysis techniques seem to support a theory of drill wear mechanism which was reported recently.
    keyword(s): Drilling , Drills (Tools) , Wear , Signals , Mechanisms , Spectra (Spectroscopy) , Steel , Sound , Force AND Signal processing ,
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      Signature Analysis Applied to Drilling

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/96195
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    • Journal of Mechanical Design

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    contributor authorS. Braun
    contributor authorC. L. Wu
    contributor authorE. Lenz
    date accessioned2017-05-08T23:14:00Z
    date available2017-05-08T23:14:00Z
    date copyrightApril, 1982
    date issued1982
    identifier issn1050-0472
    identifier otherJMDEDB-27998#268_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/96195
    description abstractThis paper investigates the relationship between drill life, the sound, and the drift forces produced by the drilling process. Tests were performed while drilling steel with 38 in. twist drills. As a tool life criterion, the wear of the drill lips was monitored. Typical signals are described, and various signal processing techniques presented in view of characterizing them. These include time, frequency, and amplitude domain techniques. It is shown that specific signal patterns that occur with increasing lip wear show definite trends which can be followed by some analysis techniques. A discrete point process, derived from the signal’s spectrum, has been found specifically valuable. Results shown for actual data using these signal analysis techniques seem to support a theory of drill wear mechanism which was reported recently.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSignature Analysis Applied to Drilling
    typeJournal Paper
    journal volume104
    journal issue2
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.3256335
    journal fristpage268
    journal lastpage276
    identifier eissn1528-9001
    keywordsDrilling
    keywordsDrills (Tools)
    keywordsWear
    keywordsSignals
    keywordsMechanisms
    keywordsSpectra (Spectroscopy)
    keywordsSteel
    keywordsSound
    keywordsForce AND Signal processing
    treeJournal of Mechanical Design:;1982:;volume( 104 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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