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    Approaches for Model Validation: Methodology and Illustration on a Sheet Metal Flanging Process

    Source: Journal of Manufacturing Science and Engineering:;2006:;volume( 128 ):;issue: 002::page 588
    Author:
    Thaweepat Buranathiti
    ,
    Lusine Baghdasaryan
    ,
    Z. Cedric Xia
    ,
    Jian Cao
    ,
    Wei Chen
    DOI: 10.1115/1.1807852
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation has become an increasingly important issue in the decision-making process for model development, as numerical simulations have widely demonstrated their benefits in reducing development time and cost. Frequently, the trustworthiness of models is inevitably questioned in this competitive and demanding world. By definition, model validation is a means to systematically establish a level of confidence of models. To demonstrate the processes of model validation for simulation-based models, a sheet metal flanging process is used as an example with the objective that is to predict the final geometry, or springback. This forming process involves large deformation of sheet metals, contact between tooling and blanks, and process uncertainties. The corresponding uncertainties in material properties and process conditions are investigated and taken as inputs to the uncertainty propagation, where metamodels, known as a model of the model, are developed to efficiently and effectively compute the total uncertainty/variation of the final configuration. Three model validation techniques (graphical comparison, confidence interval technique, and r2 technique) are applied and examined; furthermore, strength and weakness of each technique are examined. The latter two techniques offer a broader perspective due to the involvement of statistical and uncertainty analyses. The proposed model validation approaches reduce the number of experiments to one for each design point by shifting the evaluation effort to the uncertainty propagation of the simulation model rather than using costly physical experiments.
    keyword(s): Model validation , Uncertainty , Sheet metal AND Design ,
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      Approaches for Model Validation: Methodology and Illustration on a Sheet Metal Flanging Process

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    contributor authorThaweepat Buranathiti
    contributor authorLusine Baghdasaryan
    contributor authorZ. Cedric Xia
    contributor authorJian Cao
    contributor authorWei Chen
    date accessioned2017-05-09T00:20:46Z
    date available2017-05-09T00:20:46Z
    date copyrightMay, 2006
    date issued2006
    identifier issn1087-1357
    identifier otherJMSEFK-27941#588_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/134180
    description abstractModel validation has become an increasingly important issue in the decision-making process for model development, as numerical simulations have widely demonstrated their benefits in reducing development time and cost. Frequently, the trustworthiness of models is inevitably questioned in this competitive and demanding world. By definition, model validation is a means to systematically establish a level of confidence of models. To demonstrate the processes of model validation for simulation-based models, a sheet metal flanging process is used as an example with the objective that is to predict the final geometry, or springback. This forming process involves large deformation of sheet metals, contact between tooling and blanks, and process uncertainties. The corresponding uncertainties in material properties and process conditions are investigated and taken as inputs to the uncertainty propagation, where metamodels, known as a model of the model, are developed to efficiently and effectively compute the total uncertainty/variation of the final configuration. Three model validation techniques (graphical comparison, confidence interval technique, and r2 technique) are applied and examined; furthermore, strength and weakness of each technique are examined. The latter two techniques offer a broader perspective due to the involvement of statistical and uncertainty analyses. The proposed model validation approaches reduce the number of experiments to one for each design point by shifting the evaluation effort to the uncertainty propagation of the simulation model rather than using costly physical experiments.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleApproaches for Model Validation: Methodology and Illustration on a Sheet Metal Flanging Process
    typeJournal Paper
    journal volume128
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.1807852
    journal fristpage588
    journal lastpage597
    identifier eissn1528-8935
    keywordsModel validation
    keywordsUncertainty
    keywordsSheet metal AND Design
    treeJournal of Manufacturing Science and Engineering:;2006:;volume( 128 ):;issue: 002
    contenttypeFulltext
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