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    Representation, Generation, and Analysis of Mechanical Assembly Sequences With k-ary Operations

    Source: Journal of Computing and Information Science in Engineering:;2012:;volume( 012 ):;issue: 001::page 11001
    Author:
    Haixia Wang
    ,
    Dariusz Ceglarek
    DOI: 10.1115/1.3617441
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new methodology is presented to generate all of the assembly sequences for a production system configured as a N-station assembly line with kn (n = 1, 2,…, N) parts or subassemblies to be assembled at stations 1, 2,…, N, respectively. This expands current approaches in sequence generation applicable for binary assembly process to a k-ary assembly process by including: (i) nonbinary state between two parts, i.e., multiple joints between two parts or subassemblies, is taken into consideration, and (ii) simultaneous assembly of Y (Y≥3) parts or subassemblies. The methodology is based upon proposed k-piece graph and k-piece mixed graph approaches for the assemblies without and with assembly precedence relationship, respectively. Compared with the currently used liaisons graph (or datum flow chain) representation which shows part-to-part assembly relations, the k-piece graph (or k-piece mixed graph) shows all of the feasible subassemblies and their constituent parts and joints (pairs of mating features). Based upon the k-piece graph or k-piece mixed-graph approach, all of the feasible subassemblies for a predetermined assembly line configuration are identified, and all of the sequences for a k-ary assembly process are generated. Case studies are presented to illustrate the advantages of the presented methodology over the state-of-the-art research in assembly sequence generation.
    keyword(s): Manufacturing ,
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      Representation, Generation, and Analysis of Mechanical Assembly Sequences With k-ary Operations

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    contributor authorHaixia Wang
    contributor authorDariusz Ceglarek
    date accessioned2017-05-09T00:48:57Z
    date available2017-05-09T00:48:57Z
    date copyrightMarch, 2012
    date issued2012
    identifier issn1530-9827
    identifier otherJCISB6-26040#011001_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148414
    description abstractA new methodology is presented to generate all of the assembly sequences for a production system configured as a N-station assembly line with kn (n = 1, 2,…, N) parts or subassemblies to be assembled at stations 1, 2,…, N, respectively. This expands current approaches in sequence generation applicable for binary assembly process to a k-ary assembly process by including: (i) nonbinary state between two parts, i.e., multiple joints between two parts or subassemblies, is taken into consideration, and (ii) simultaneous assembly of Y (Y≥3) parts or subassemblies. The methodology is based upon proposed k-piece graph and k-piece mixed graph approaches for the assemblies without and with assembly precedence relationship, respectively. Compared with the currently used liaisons graph (or datum flow chain) representation which shows part-to-part assembly relations, the k-piece graph (or k-piece mixed graph) shows all of the feasible subassemblies and their constituent parts and joints (pairs of mating features). Based upon the k-piece graph or k-piece mixed-graph approach, all of the feasible subassemblies for a predetermined assembly line configuration are identified, and all of the sequences for a k-ary assembly process are generated. Case studies are presented to illustrate the advantages of the presented methodology over the state-of-the-art research in assembly sequence generation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRepresentation, Generation, and Analysis of Mechanical Assembly Sequences With k-ary Operations
    typeJournal Paper
    journal volume12
    journal issue1
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.3617441
    journal fristpage11001
    identifier eissn1530-9827
    keywordsManufacturing
    treeJournal of Computing and Information Science in Engineering:;2012:;volume( 012 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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