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    Pressure and Draw-In Maps for Stamping Process Monitoring

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 009::page 91005
    Author:
    Sah, Sripati
    ,
    Mahayotsanun, Numpon
    ,
    Peshkin, Michael
    ,
    Cao, Jian
    ,
    Gao, Robert X.
    DOI: 10.1115/1.4033039
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents two tooling-integrated sensing techniques for the in situ measurement and analyses of pressure distribution at the tool–workpiece interface and material draw-in during the stamping processes. Specifically, the contact pressure distribution is calculated from the measurements by an array of force sensors embedded in the punch, whereas sheet draw-in is measured by custom-designed thin film sensors integrated in the binder. Quantification of the pressure distribution from spatially distributed sensors has been investigated as a regularization problem and solved through energy minimization. Additionally, a Bayesian framework has been established for combining finite-element analysis (FEA) based estimates of the pressure distribution with experimentally measured evidence, to achieve improved spatiotemporal resolution. A new data visualization technique termed pressure and draw-in (PDI) map has been introduced, which combine spatiotemporal information from the two sensing techniques into an illustrative representation by capturing both the tool–workpiece interaction (dynamic information) and resulting workpiece motion (kinematic information) in a series of time-stamped snap shots. Together, the two separate yet complementary process-embedded sensing methods present an effective tool for quantifying process variations in sheet metal stamping and enable new insight into the underlying physics of the process.
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      Pressure and Draw-In Maps for Stamping Process Monitoring

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    contributor authorSah, Sripati
    contributor authorMahayotsanun, Numpon
    contributor authorPeshkin, Michael
    contributor authorCao, Jian
    contributor authorGao, Robert X.
    date accessioned2017-11-25T07:17:27Z
    date available2017-11-25T07:17:27Z
    date copyright2016/20/6
    date issued2016
    identifier issn1087-1357
    identifier othermanu_138_09_091005.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234586
    description abstractThis paper presents two tooling-integrated sensing techniques for the in situ measurement and analyses of pressure distribution at the tool–workpiece interface and material draw-in during the stamping processes. Specifically, the contact pressure distribution is calculated from the measurements by an array of force sensors embedded in the punch, whereas sheet draw-in is measured by custom-designed thin film sensors integrated in the binder. Quantification of the pressure distribution from spatially distributed sensors has been investigated as a regularization problem and solved through energy minimization. Additionally, a Bayesian framework has been established for combining finite-element analysis (FEA) based estimates of the pressure distribution with experimentally measured evidence, to achieve improved spatiotemporal resolution. A new data visualization technique termed pressure and draw-in (PDI) map has been introduced, which combine spatiotemporal information from the two sensing techniques into an illustrative representation by capturing both the tool–workpiece interaction (dynamic information) and resulting workpiece motion (kinematic information) in a series of time-stamped snap shots. Together, the two separate yet complementary process-embedded sensing methods present an effective tool for quantifying process variations in sheet metal stamping and enable new insight into the underlying physics of the process.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePressure and Draw-In Maps for Stamping Process Monitoring
    typeJournal Paper
    journal volume138
    journal issue9
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4033039
    journal fristpage91005
    journal lastpage091005-15
    treeJournal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 009
    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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