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    Methodology for Determining the Variance of the Taylor Factor: Application in Fe-3%Si

    Source: Journal of Engineering Materials and Technology:;2007:;volume( 129 ):;issue: 001::page 82
    Author:
    Craig P. Przybyla
    ,
    Brent L. Adams
    ,
    Michael P. Miles
    DOI: 10.1115/1.2400268
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A method is proposed to determine the variance of an arbitrary material property based on the statistics of the texture of polycrystalline materials for a specified volume. This method is applied to determine the variance of the Taylor factor (i.e., measure of plastic deformation in crystal plasticity) and is compared to a random sampling method. The results from the random sampling method correlated well with the statistical variance relationship when the magnitude of the variance was greater than that of the numerical errors observed in the statistical calculation. An empirical relation was also shown to model the results, and the constants for this relationship were determined for pseudo-three-dimensional Fe-3%Si. Implementation of the statistical variance relationship in true three-dimensional microstructures is not limited by material opacity, since it depends only on the two-point pair correlation functions. The connection between the variance of the R-value and variance of the Taylor factor is considered. Although only a weak connection was found, it was observed that relatively small variations in the Taylor factor yield large variances in the R-value.
    keyword(s): Deformation , Crystals , Measurement , Dimensions , Materials properties , Texture (Materials) , Engineering simulation , Functions , Sampling methods , Stress , Thickness , Errors , Anisotropy AND Plasticity ,
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      Methodology for Determining the Variance of the Taylor Factor: Application in Fe-3%Si

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    http://yetl.yabesh.ir/yetl1/handle/yetl/135873
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    contributor authorCraig P. Przybyla
    contributor authorBrent L. Adams
    contributor authorMichael P. Miles
    date accessioned2017-05-09T00:23:57Z
    date available2017-05-09T00:23:57Z
    date copyrightJanuary, 2007
    date issued2007
    identifier issn0094-4289
    identifier otherJEMTA8-27092#82_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/135873
    description abstractA method is proposed to determine the variance of an arbitrary material property based on the statistics of the texture of polycrystalline materials for a specified volume. This method is applied to determine the variance of the Taylor factor (i.e., measure of plastic deformation in crystal plasticity) and is compared to a random sampling method. The results from the random sampling method correlated well with the statistical variance relationship when the magnitude of the variance was greater than that of the numerical errors observed in the statistical calculation. An empirical relation was also shown to model the results, and the constants for this relationship were determined for pseudo-three-dimensional Fe-3%Si. Implementation of the statistical variance relationship in true three-dimensional microstructures is not limited by material opacity, since it depends only on the two-point pair correlation functions. The connection between the variance of the R-value and variance of the Taylor factor is considered. Although only a weak connection was found, it was observed that relatively small variations in the Taylor factor yield large variances in the R-value.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMethodology for Determining the Variance of the Taylor Factor: Application in Fe-3%Si
    typeJournal Paper
    journal volume129
    journal issue1
    journal titleJournal of Engineering Materials and Technology
    identifier doi10.1115/1.2400268
    journal fristpage82
    journal lastpage93
    identifier eissn1528-8889
    keywordsDeformation
    keywordsCrystals
    keywordsMeasurement
    keywordsDimensions
    keywordsMaterials properties
    keywordsTexture (Materials)
    keywordsEngineering simulation
    keywordsFunctions
    keywordsSampling methods
    keywordsStress
    keywordsThickness
    keywordsErrors
    keywordsAnisotropy AND Plasticity
    treeJournal of Engineering Materials and Technology:;2007:;volume( 129 ):;issue: 001
    contenttypeFulltext
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