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    Feature Based Shape Similarity Measurement for Retrieval of Mechanical Parts

    Source: Journal of Computing and Information Science in Engineering:;2001:;volume( 001 ):;issue: 003::page 245
    Author:
    Madhumati Ramesh
    ,
    Derek Yip-Hoi
    ,
    Debasish Dutta
    DOI: 10.1115/1.1412456
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Exploiting shape similarities amongst parts for applications such as variant process planning is well known in the manufacturing industry. This particular application requires a mechanism for retrieval of similar parts from a part database which in turn requires a method for shape similarity measurement. In this paper, such a method is presented. First, the part is decomposed into simpler shapes resembling machining features. The decomposition method makes use of primitives to generate the shapes directly unlike previous methods in which the shapes are produced by combining minimal cells. Next, part characteristics that capture the spatial and dimensional relationships amongst features are used to measure the similarity. These characteristics are relevant to machining and they complement the characteristics such as feature type and feature intersections that are used by the previous shape comparison techniques. Implementation and examples are also included.
    keyword(s): Machining , Intersections , Information retrieval , Shapes , Algorithms , Databases , Project tasks , Dimensions AND Production planning ,
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      Feature Based Shape Similarity Measurement for Retrieval of Mechanical Parts

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    http://yetl.yabesh.ir/yetl1/handle/yetl/124880
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    contributor authorMadhumati Ramesh
    contributor authorDerek Yip-Hoi
    contributor authorDebasish Dutta
    date accessioned2017-05-09T00:04:18Z
    date available2017-05-09T00:04:18Z
    date copyrightSeptember, 2001
    date issued2001
    identifier issn1530-9827
    identifier otherJCISB6-25908#245_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124880
    description abstractExploiting shape similarities amongst parts for applications such as variant process planning is well known in the manufacturing industry. This particular application requires a mechanism for retrieval of similar parts from a part database which in turn requires a method for shape similarity measurement. In this paper, such a method is presented. First, the part is decomposed into simpler shapes resembling machining features. The decomposition method makes use of primitives to generate the shapes directly unlike previous methods in which the shapes are produced by combining minimal cells. Next, part characteristics that capture the spatial and dimensional relationships amongst features are used to measure the similarity. These characteristics are relevant to machining and they complement the characteristics such as feature type and feature intersections that are used by the previous shape comparison techniques. Implementation and examples are also included.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFeature Based Shape Similarity Measurement for Retrieval of Mechanical Parts
    typeJournal Paper
    journal volume1
    journal issue3
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.1412456
    journal fristpage245
    journal lastpage256
    identifier eissn1530-9827
    keywordsMachining
    keywordsIntersections
    keywordsInformation retrieval
    keywordsShapes
    keywordsAlgorithms
    keywordsDatabases
    keywordsProject tasks
    keywordsDimensions AND Production planning
    treeJournal of Computing and Information Science in Engineering:;2001:;volume( 001 ):;issue: 003
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
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    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian