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    Stream of Variation Modeling and Analysis for Compliant Composite Part Assembly— Part II: Multistation Processes

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 012::page 121004
    Author:
    Zhang, Tingyu
    ,
    Shi, Jianjun
    DOI: 10.1115/1.4033282
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Part I of this paper (Zhang and Shi, 2015, “Stream of Variation Modeling and Analysis for Compliant Composite Part Assembly—Part I: Single-Station Processes,” ASME J. Manuf. Sci. Eng.,) has studied the variation modeling and analysis of compliant composite part assembly in a single-station process. In practice, multiple assembly stations are involved in assembling the final product. This paper aims to develop a variation propagation model for stream of variation analysis in a multistation assembly process for composite parts. This model takes into account major variation factors, including part manufacturing error (PME), fixture position error (FPE), and relocation-induced error (RIE). With the help of a finite element method (FEM), a state space model (SSM) is established to represent the relationships between the sources of variation and the final assembly variation. The developed methodology is illustrated by using a case study of three composite laminated plates assembled in a two-station assembly system. The validity of the developed SSM is verified by Monte Carlo simulation (MCS), which is implemented on the basis of FEM. The SSM provides a potential application for diagnosis of variation sources and variation reduction.
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      Stream of Variation Modeling and Analysis for Compliant Composite Part Assembly— Part II: Multistation Processes

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4234632
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    contributor authorZhang, Tingyu
    contributor authorShi, Jianjun
    date accessioned2017-11-25T07:17:32Z
    date available2017-11-25T07:17:32Z
    date copyright2016/19/7
    date issued2016
    identifier issn1087-1357
    identifier othermanu_138_12_121004.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234632
    description abstractPart I of this paper (Zhang and Shi, 2015, “Stream of Variation Modeling and Analysis for Compliant Composite Part Assembly—Part I: Single-Station Processes,” ASME J. Manuf. Sci. Eng.,) has studied the variation modeling and analysis of compliant composite part assembly in a single-station process. In practice, multiple assembly stations are involved in assembling the final product. This paper aims to develop a variation propagation model for stream of variation analysis in a multistation assembly process for composite parts. This model takes into account major variation factors, including part manufacturing error (PME), fixture position error (FPE), and relocation-induced error (RIE). With the help of a finite element method (FEM), a state space model (SSM) is established to represent the relationships between the sources of variation and the final assembly variation. The developed methodology is illustrated by using a case study of three composite laminated plates assembled in a two-station assembly system. The validity of the developed SSM is verified by Monte Carlo simulation (MCS), which is implemented on the basis of FEM. The SSM provides a potential application for diagnosis of variation sources and variation reduction.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStream of Variation Modeling and Analysis for Compliant Composite Part Assembly— Part II: Multistation Processes
    typeJournal Paper
    journal volume138
    journal issue12
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4033282
    journal fristpage121004
    journal lastpage121004-15
    treeJournal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 012
    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