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    Computer-assisted Prediction of Drill-failure Using In-process Measurements of Thrust Force

    Source: Journal of Manufacturing Science and Engineering:;1988:;volume( 110 ):;issue: 002::page 192
    Author:
    A. Thangaraj
    ,
    P. K. Wright
    DOI: 10.1115/1.3187869
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A real time control system has been developed in the laboratory to monitor the performance of twist drills. Emphasis has been placed on the prediction of the incipient failure of the drill and retraction before significant damage has occurred. It has been found that the gradient of the drilling thrust force, calculated using a digital filter with the necessary frequency specifications, exhibits a sharp increase several seconds before any serious failure. Details of the filtering technique and results for several cutting conditions are presented.
    keyword(s): Measurement , Drills (Tools) , Thrust , Force , Computers , Failure , Filters , Gradients , Cutting , Filtration , Drilling AND Real-time control ,
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      Computer-assisted Prediction of Drill-failure Using In-process Measurements of Thrust Force

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/104139
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    • Journal of Manufacturing Science and Engineering

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    contributor authorA. Thangaraj
    contributor authorP. K. Wright
    date accessioned2017-05-08T23:27:37Z
    date available2017-05-08T23:27:37Z
    date copyrightMay, 1988
    date issued1988
    identifier issn1087-1357
    identifier otherJMSEFK-27730#192_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/104139
    description abstractA real time control system has been developed in the laboratory to monitor the performance of twist drills. Emphasis has been placed on the prediction of the incipient failure of the drill and retraction before significant damage has occurred. It has been found that the gradient of the drilling thrust force, calculated using a digital filter with the necessary frequency specifications, exhibits a sharp increase several seconds before any serious failure. Details of the filtering technique and results for several cutting conditions are presented.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComputer-assisted Prediction of Drill-failure Using In-process Measurements of Thrust Force
    typeJournal Paper
    journal volume110
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3187869
    journal fristpage192
    journal lastpage200
    identifier eissn1528-8935
    keywordsMeasurement
    keywordsDrills (Tools)
    keywordsThrust
    keywordsForce
    keywordsComputers
    keywordsFailure
    keywordsFilters
    keywordsGradients
    keywordsCutting
    keywordsFiltration
    keywordsDrilling AND Real-time control
    treeJournal of Manufacturing Science and Engineering:;1988:;volume( 110 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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