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    Reliability Analysis of Cutting Tools

    Source: Journal of Manufacturing Science and Engineering:;1979:;volume( 101 ):;issue: 002::page 185
    Author:
    K. Hitomi
    ,
    N. Nakamura
    ,
    S. Inoue
    DOI: 10.1115/1.3439493
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper is concerned with the reliability analysis of tool life based on the tool-wear values obtained from metal cutting experiments. From experimental results, a statistical distribution of tool wear was decided, and the distribution of tool life and the reliability function of cutting tools were derived. Further, it was shown that the reliability of cutting tools at a certain time was easily calculated from machining parameters and tool-wear limits by the use of reliability function.
    keyword(s): Cutting tools , Event history analysis , Wear , Reliability , Machining , Metal cutting AND Statistical distributions ,
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      Reliability Analysis of Cutting Tools

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    http://yetl.yabesh.ir/yetl1/handle/yetl/92408
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    contributor authorK. Hitomi
    contributor authorN. Nakamura
    contributor authorS. Inoue
    date accessioned2017-05-08T23:07:12Z
    date available2017-05-08T23:07:12Z
    date copyrightMay, 1979
    date issued1979
    identifier issn1087-1357
    identifier otherJMSEFK-27677#185_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/92408
    description abstractThis paper is concerned with the reliability analysis of tool life based on the tool-wear values obtained from metal cutting experiments. From experimental results, a statistical distribution of tool wear was decided, and the distribution of tool life and the reliability function of cutting tools were derived. Further, it was shown that the reliability of cutting tools at a certain time was easily calculated from machining parameters and tool-wear limits by the use of reliability function.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleReliability Analysis of Cutting Tools
    typeJournal Paper
    journal volume101
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3439493
    journal fristpage185
    journal lastpage190
    identifier eissn1528-8935
    keywordsCutting tools
    keywordsEvent history analysis
    keywordsWear
    keywordsReliability
    keywordsMachining
    keywordsMetal cutting AND Statistical distributions
    treeJournal of Manufacturing Science and Engineering:;1979:;volume( 101 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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