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    Determination of Optimum Machining Conditions—Deterministic and Probabilistic Approaches

    Source: Journal of Manufacturing Science and Engineering:;1976:;volume( 098 ):;issue: 001::page 354
    Author:
    S. K. Hati
    ,
    S. S. Rao
    DOI: 10.1115/1.3438853
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The mathematical programing techniques are applied to determine the optimum cutting parameters of machining operations. Three objectives, the cost of production per piece, the production rate, and the profit, are considered for optimization. The different constraints that arise during the machining operation are also considered. As some parameters involved in the process may not be purely deterministic, a probabilistic model is set up for the cost of production per piece and the production rate. After converting the probabilistic model into an equivalent deterministic model, the mathematical programing techniques are applied and the results obtained are compared with those of the deterministic model. A sensitivity analysis with respect to the cost parameters is carried in the case of cost of production per piece.
    keyword(s): Machining , Optimization , Cutting AND Sensitivity analysis ,
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      Determination of Optimum Machining Conditions—Deterministic and Probabilistic Approaches

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/89165
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    contributor authorS. K. Hati
    contributor authorS. S. Rao
    date accessioned2017-05-08T23:01:37Z
    date available2017-05-08T23:01:37Z
    date copyrightFebruary, 1976
    date issued1976
    identifier issn1087-1357
    identifier otherJMSEFK-27635#354_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/89165
    description abstractThe mathematical programing techniques are applied to determine the optimum cutting parameters of machining operations. Three objectives, the cost of production per piece, the production rate, and the profit, are considered for optimization. The different constraints that arise during the machining operation are also considered. As some parameters involved in the process may not be purely deterministic, a probabilistic model is set up for the cost of production per piece and the production rate. After converting the probabilistic model into an equivalent deterministic model, the mathematical programing techniques are applied and the results obtained are compared with those of the deterministic model. A sensitivity analysis with respect to the cost parameters is carried in the case of cost of production per piece.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDetermination of Optimum Machining Conditions—Deterministic and Probabilistic Approaches
    typeJournal Paper
    journal volume98
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3438853
    journal fristpage354
    journal lastpage359
    identifier eissn1528-8935
    keywordsMachining
    keywordsOptimization
    keywordsCutting AND Sensitivity analysis
    treeJournal of Manufacturing Science and Engineering:;1976:;volume( 098 ):;issue: 001
    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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