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Prediction of Effective Elastic Modulus of Biphasic Composite Materials

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Modern Mechanical Engineering 2012年第1期2卷 6-13页

作者： Anupama Upadhyay ramvir singh University of Rajasthan Jaipur India

Two semi-empirical approaches for prediction of elastic modulus of biphasic composites have been proposed. Developed relations are for pore free matrix and pore free filler and found to depend on nonlinear contribution of volume fraction of constituents as well as ratio of elastic properties of individual phases. These relations are applied for the calculation of effective elastic modulus mainly for Al2O3-NiAl, SiC-Al, Alumina-Zirconia, Al-Al2O3, W-glass and Flax-Resin composite materials. Theoretical predictions using developed relations are compared with experimental data. It is found that the predicted values of effective elastic modulus using modified relations are quite close to the experimental results.

关键词： Elastic Modulus Composite Material Matrix-Inclusion

Effect of Geometry of Filler Particles on the Effective Thermal Conductivity of Two-Phase Systems

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International Journal of Modern Nonlinear Theory and Application 2012年第2期1卷 40-46页

作者： Deepti Chauhan Nilima singhvi ramvir singh Department of Physics Heat Transfer Laboratory University of Rajasthan Jaipur India

The present paper deals with the effect of geometry of filler particles on the effective thermal conductivity for polymer composites. In the earlier models, less emphasis has been given on the shape of filler particles. In this paper, expressions for effective thermal conductivity has been derived using the law of minimal thermal resistance and equal law of the specific equivalent thermal conductivity for three different shapes i.e. spherical, elliptical and hexagonal of filler particles respectively. Calculated values of effective thermal conductivity for various samples using the derived expressions then compared with experimental data available and other models developed in the literature. The results calculated are in good agreement with the earlier experimental data and the deviation, is least in our expressions showing the success of the model.

关键词： Effective Thermal Conductivity Polymer Composites Minimal Thermal Resistance Shape of Filler

Adaptive Neuro-Fuzzy Inference System for Prediction of Effective Thermal Conductivity of Polymer-Matrix Composites

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Modeling and Numerical Simulation of Material Science 2012年第3期2卷 43-50页

作者： Rajpal singh Bhoopal ramvir singh Pradeep Kumar Sharma Department of Physics Thermal Physics Laboratory University of Rajasthan Jaipur India

In the present study, the adaptive neuro-fuzzy inference system (ANFIS) is developed for the prediction of effective thermal conductivity (ETC) of different fillers filled in polymer matrixes. The ANFIS uses a hybrid learning algorithm. The ANFIS is a class of adaptive networks that is functionally equivalent to fuzzy inference systems (FIS). The ANFIS is based on neuro-fuzzy model, trained with data collected from various sources of literature. ETC is predicted using ANFIS with volume fraction and thermal conductivities of fillers and matrixes as input parameters, respectively. The predicted results by ANFIS are in good agreements with experimental values. The predicted results also show the supremacy of ANFIS in comparison with other earlier developed models.

关键词： Neuro-fuzzy Inference System Effective Thermal Conductivity Polymer Composites Volume Fraction Fuzzy Inference Systems

Non-Linear Effect of Volume Fraction of Inclusions on The Effective Thermal Conductivity of Composite Materials: A Modified Maxwell Model

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Open Journal of Composite Materials 2011年第1期1卷 10-18页

作者： Sajjan Kumar R. S. Bhoopal P. K. Sharma R. S. Beniwal ramvir singh Heat Transfer Laboratory Department of Physics University of Rajasthan

In this paper, non-linear dependence of volume fraction of inclusions on the effective thermal conductivity of composite materials is investigated. Proposed approximation formula is based on the Maxwell’s equation, in that a non-linear term dependent on the volume fraction of the inclusions and the ratio of the thermal conductivities of the polymer continuum and inclusions is introduced in place of the volume fraction of inclusions. The modified Maxwell’s equation is used to calculate effective thermal conductivity of several composite materials and agreed well with the earlier experimental results. A comparison of the proposed relation with different models has also been made.

关键词： Effective Thermal Conductivity Empirical Correction Term Composite Materials