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    Evaluation of Minimum Zone Straightness by a Nonlinear Optimization Method

    Source: Journal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;issue: 004::page 795
    Author:
    Elsayed Orady
    ,
    Songnian Li
    ,
    Yubao Chen
    DOI: 10.1115/1.1285880
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a new algorithm, based on a nonlinear optimization method (NOM), has been developed. The accuracy as well as the reliability/robustness of the new algorithm have been verified by applying it to more than 200 CMM measured data sets on differently manufactured parts. The results have been compared with that of Least Squares Method (LSM) and Convex Hull (CVH) method applied to the same data sets. A data filter is proposed to be enclosed in the new algorithm to detect and delete outliers in the data sets. [S1087-1357(00)01102-3]
    keyword(s): Coordinate measuring machines , Algorithms , Optimization , Filters , Robustness , Reliability AND Fittings ,
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      Evaluation of Minimum Zone Straightness by a Nonlinear Optimization Method

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/123930
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    contributor authorElsayed Orady
    contributor authorSongnian Li
    contributor authorYubao Chen
    date accessioned2017-05-09T00:02:48Z
    date available2017-05-09T00:02:48Z
    date copyrightNovember, 2000
    date issued2000
    identifier issn1087-1357
    identifier otherJMSEFK-27431#795_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123930
    description abstractIn this paper, a new algorithm, based on a nonlinear optimization method (NOM), has been developed. The accuracy as well as the reliability/robustness of the new algorithm have been verified by applying it to more than 200 CMM measured data sets on differently manufactured parts. The results have been compared with that of Least Squares Method (LSM) and Convex Hull (CVH) method applied to the same data sets. A data filter is proposed to be enclosed in the new algorithm to detect and delete outliers in the data sets. [S1087-1357(00)01102-3]
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluation of Minimum Zone Straightness by a Nonlinear Optimization Method
    typeJournal Paper
    journal volume122
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.1285880
    journal fristpage795
    journal lastpage797
    identifier eissn1528-8935
    keywordsCoordinate measuring machines
    keywordsAlgorithms
    keywordsOptimization
    keywordsFilters
    keywordsRobustness
    keywordsReliability AND Fittings
    treeJournal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;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
    yabeshDSpacePersian