Representative Volume Element

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Debes Bhattacharyya - One of the best experts on this subject based on the ideXlab platform.

  • a simple micromechanical approach to predict mechanical behaviour of polypropylene organoclay nanocomposites based on Representative Volume Element rve
    Computational Materials Science, 2010
    Co-Authors: Yu Dong, Debes Bhattacharyya
    Abstract:

    Abstract Two-dimensional 3 × 3 array Representative Volume Element (RVE) models, using finite Element analysis (FEA), have been employed to predict the elastic moduli (Ec) of polypropylene (PP)/organoclay nanocomposites in terms of clay contents, clay aspect ratios and their dispersion patterns. Three-phase RVE models incorporating the interphase between clay platelets and the PP matrix demonstrate significant modulus enhancement in the exfoliated nanocomposites. The interphase properties have less impact on the moduli of exfoliated nanocomposites while those of intercalated nanocomposites are quite independent of clay dispersion patterns. The numerical results are finally compared with composites theories and experimental data for validity.

  • A simple micromechanical approach to predict mechanical behaviour of polypropylene/organoclay nanocomposites based on Representative Volume Element (RVE)
    Computational Materials Science, 2010
    Co-Authors: Yu Dong, Debes Bhattacharyya
    Abstract:

    Abstract Two-dimensional 3 × 3 array Representative Volume Element (RVE) models, using finite Element analysis (FEA), have been employed to predict the elastic moduli (Ec) of polypropylene (PP)/organoclay nanocomposites in terms of clay contents, clay aspect ratios and their dispersion patterns. Three-phase RVE models incorporating the interphase between clay platelets and the PP matrix demonstrate significant modulus enhancement in the exfoliated nanocomposites. The interphase properties have less impact on the moduli of exfoliated nanocomposites while those of intercalated nanocomposites are quite independent of clay dispersion patterns. The numerical results are finally compared with composites theories and experimental data for validity.

Emad Fakhimi - One of the best experts on this subject based on the ideXlab platform.

Addis Kidane - One of the best experts on this subject based on the ideXlab platform.

  • Experimental determination of Representative Volume Element (RVE) size in woven composites
    Optics and Lasers in Engineering, 2017
    Co-Authors: Behrad Koohbor, Suraj Ravindran, Addis Kidane
    Abstract:

    Abstract A systematic approach is proposed to estimate the length scales of the Representative Volume Element (RVE) in orthogonal plain woven composites. The approach is based on experimental full-field deformation measurements at mesoscopic scales. Stereovision digital image correlation (DIC) is conducted to determine the full-field strain distribution in on- and off-axis specimens loaded axially in tension. A sensitivity analysis is carried out to optimize the image correlation parameters. Using the optimized set of image correlation parameters, full-field strains are measured and used in conjunction with a simple strain averaging algorithm to identify the length scales at which globally applied and spatially-averaged local strains converge in values. The size of a virtual window containing local strain data, the average of which has the same value as the global strain, is identified as the RVE dimensions for the examined material. The smallest RVE sizes found in this work are shown to be both strain and angle dependent. The largest RVE dimension obtained is reported as a unique, strain and orientation insensitive RVE size for the woven composite examined.

Yu Dong - One of the best experts on this subject based on the ideXlab platform.

  • a simple micromechanical approach to predict mechanical behaviour of polypropylene organoclay nanocomposites based on Representative Volume Element rve
    Computational Materials Science, 2010
    Co-Authors: Yu Dong, Debes Bhattacharyya
    Abstract:

    Abstract Two-dimensional 3 × 3 array Representative Volume Element (RVE) models, using finite Element analysis (FEA), have been employed to predict the elastic moduli (Ec) of polypropylene (PP)/organoclay nanocomposites in terms of clay contents, clay aspect ratios and their dispersion patterns. Three-phase RVE models incorporating the interphase between clay platelets and the PP matrix demonstrate significant modulus enhancement in the exfoliated nanocomposites. The interphase properties have less impact on the moduli of exfoliated nanocomposites while those of intercalated nanocomposites are quite independent of clay dispersion patterns. The numerical results are finally compared with composites theories and experimental data for validity.

  • A simple micromechanical approach to predict mechanical behaviour of polypropylene/organoclay nanocomposites based on Representative Volume Element (RVE)
    Computational Materials Science, 2010
    Co-Authors: Yu Dong, Debes Bhattacharyya
    Abstract:

    Abstract Two-dimensional 3 × 3 array Representative Volume Element (RVE) models, using finite Element analysis (FEA), have been employed to predict the elastic moduli (Ec) of polypropylene (PP)/organoclay nanocomposites in terms of clay contents, clay aspect ratios and their dispersion patterns. Three-phase RVE models incorporating the interphase between clay platelets and the PP matrix demonstrate significant modulus enhancement in the exfoliated nanocomposites. The interphase properties have less impact on the moduli of exfoliated nanocomposites while those of intercalated nanocomposites are quite independent of clay dispersion patterns. The numerical results are finally compared with composites theories and experimental data for validity.

  • Representative Volume Element and Morphological-Image Based Analyses of Polypropylene/Nanoclay Composites
    2010
    Co-Authors: Yu Dong, D. Bhattacharyya
    Abstract:

    In recent years, the usage of polymer nanocomposites has increased rapidly but although their functional properties are generally superior, often the relevant mechanical properties do not give sufficient consistency to satisfy the expectations of the end users. In most cases, the property variations come from the manufacturing methods and the lack of knowledge of the individual effects of processing parameters. As a result, the theoretical predictions also get adversely affected. The present paper describes firstly a systematic approach towards determining the optimised formulation and melt compounding of the nanomaterials, including the apparent dual roles of compatibilisers, and secondly numerical analyses that are carried out based on the obtained morphological structures of polypropylene (PP)/clay nanocomposites. An optimisation of manufacturing parameters is carried out by implementing the Taguchi design of experiments methodology. Clay type and content, compatibiliser content and PP type are varied to produce the combinations of factors that maximise (not simultaneously) the tensile/flexural moduli and strengths as well as the impact strengths of prepared nanocomposites. Following this step, nanocomposites with good individual mechanical properties are manufactured using a globally suboptimised combination and used for the subsequent analysis. Two-dimensional 3×3 array Representative Volume Element (RVE) models are implemented to predict the elastic moduli of PP/clay nanocomposites in terms of clay content, aspect ratio and dispersion pattern of clay platelets.

Lorna Stewart - One of the best experts on this subject based on the ideXlab platform.

  • 3D micromechanical modeling of dual phase steels using the Representative Volume Element method
    Mechanics of Materials, 2016
    Co-Authors: Maedeh Amirmaleki, Javad Samei, Daniel E. Green, Isadora Van Riemsdijk, Lorna Stewart
    Abstract:

    Abstract There is a steady increase in the implementation of dual phase steels in stamped automotive components. Therefore, steel suppliers who develop dual phase steels are interested in predicting the microstructure-properties relationship for optimization of microstructural design. This goal is achievable by micromechanical modeling. The Representative Volume Element (RVE) method has been a popular technique for micromechanical modeling of dual phase steels. It is generally considered that 2D modeling underestimates the flow curves and that 3D modeling predicts the experimental stress-strain curves more accurately. However, much of the research has focused on 2D modeling. This paper develops 3D micromechanical modeling of DP500 and bainite-aided DP600 steels by including statistical quantitative metallography data in the models. More than 3000 grains were analyzed in each steel. Hence, both Volume fraction and morphology of martensite were statistically determined. This model predicted the ultimate tensile strength of these two dual phase steels with less than 0.5% error.