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    Statistical Analysis of Thermal Shock Data

    Source: Journal of Manufacturing Science and Engineering:;1984:;volume( 106 ):;issue: 004::page 325
    Author:
    C. W. Merten
    ,
    W. R. Steinhurst
    DOI: 10.1115/1.3185954
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hazard plotting and maximum likelihood estimation (MLE) are used to determine Weibull parameters for single cycle thermal shock tests performed on WC-Co specimens. Data for each sample fall into three classes: tests below a threshold prequench temperature for which failure never occurs; tests above some higher prequench temperature for which failure is universal; and tests at intermediate prequench temperatures for which both failures and nonfailures are interspersed. Hazard plots in the region of the third class show a good Weibull fit. For some samples, the shape of the hazard plots indicates competing risks. MLE of the Weibull parameters for each sample is performed and the estimates are compared. Failure models which might account for the shape of the hazard plots are proposed.
    keyword(s): Statistical analysis , Thermal shock , Failure , Maximum likelihood estimation , Temperature , Shapes AND Cycles ,
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    • Statistics

      Statistical Analysis of Thermal Shock Data

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/98689
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    contributor authorC. W. Merten
    contributor authorW. R. Steinhurst
    date accessioned2017-05-08T23:18:18Z
    date available2017-05-08T23:18:18Z
    date copyrightNovember, 1984
    date issued1984
    identifier issn1087-1357
    identifier otherJMSEFK-27711#325_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/98689
    description abstractHazard plotting and maximum likelihood estimation (MLE) are used to determine Weibull parameters for single cycle thermal shock tests performed on WC-Co specimens. Data for each sample fall into three classes: tests below a threshold prequench temperature for which failure never occurs; tests above some higher prequench temperature for which failure is universal; and tests at intermediate prequench temperatures for which both failures and nonfailures are interspersed. Hazard plots in the region of the third class show a good Weibull fit. For some samples, the shape of the hazard plots indicates competing risks. MLE of the Weibull parameters for each sample is performed and the estimates are compared. Failure models which might account for the shape of the hazard plots are proposed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStatistical Analysis of Thermal Shock Data
    typeJournal Paper
    journal volume106
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3185954
    journal fristpage325
    journal lastpage330
    identifier eissn1528-8935
    keywordsStatistical analysis
    keywordsThermal shock
    keywordsFailure
    keywordsMaximum likelihood estimation
    keywordsTemperature
    keywordsShapes AND Cycles
    treeJournal of Manufacturing Science and Engineering:;1984:;volume( 106 ):;issue: 004
    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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