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    In-Process Detection of Tool Failure in Milling Using Cutting Force Models

    Source: Journal of Manufacturing Science and Engineering:;1989:;volume( 111 ):;issue: 002::page 149
    Author:
    Y. Altintas
    ,
    I. Yellowley
    DOI: 10.1115/1.3188744
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The authors show that first and second differencing of a time averaged resultant force is extremely effective in the recognition of tool breakage in milling. In order to be useful in production, however, such a system needs to have a knowledge of allowable levels of the first difference. It is shown that these levels, (thresholds), are extremely dependent on the ratio of cutter radius to width of cut, (immersion ratio). A method of on-line identification of the immersion ratio and threshold tuning is presented with experimental verification.
    keyword(s): Force , Cutting , Failure AND Milling ,
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      In-Process Detection of Tool Failure in Milling Using Cutting Force Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/105652
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    contributor authorY. Altintas
    contributor authorI. Yellowley
    date accessioned2017-05-08T23:30:27Z
    date available2017-05-08T23:30:27Z
    date copyrightMay, 1989
    date issued1989
    identifier issn1087-1357
    identifier otherJMSEFK-27737#149_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/105652
    description abstractThe authors show that first and second differencing of a time averaged resultant force is extremely effective in the recognition of tool breakage in milling. In order to be useful in production, however, such a system needs to have a knowledge of allowable levels of the first difference. It is shown that these levels, (thresholds), are extremely dependent on the ratio of cutter radius to width of cut, (immersion ratio). A method of on-line identification of the immersion ratio and threshold tuning is presented with experimental verification.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIn-Process Detection of Tool Failure in Milling Using Cutting Force Models
    typeJournal Paper
    journal volume111
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3188744
    journal fristpage149
    journal lastpage157
    identifier eissn1528-8935
    keywordsForce
    keywordsCutting
    keywordsFailure AND Milling
    treeJournal of Manufacturing Science and Engineering:;1989:;volume( 111 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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