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Analytical heat conduction model of particle reinforced tertiary composite materials based on complete spatial randomness of fillers in base matrix and its application in the development of cryosorption pump

Chatterjee, Aritra and Verma, Ravi and Shivaprakash, NC and Kasthurirengan, S and Behera, Upendra (2018) Analytical heat conduction model of particle reinforced tertiary composite materials based on complete spatial randomness of fillers in base matrix and its application in the development of cryosorption pump. In: CRYOGENICS, 95 . pp. 116-126.

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Official URL: http://dx.doi.org/10.1016/j.cryogenics.2018.09.009

Abstract

In this article, we propose an analytical heat conduction model within a stochastic frame work which estimates the thermal conductivity (TC) value of particle reinforced composite materials comprising of three parent elements i.e. a base matrix along with two different filler element particles randomly distributed in it. The spatial distribution of the filler particles in a sample of specific dimension has been estimated by applying bivariate Poisson distribution. This distribution is then used to arrive at the TC value of the composite. This concept has been applied to predict the TC of the tertiary composite comprised of epoxy as the base matrix, aluminium and zinc particles as filler elements. The TC values obtained from this model for different volume fractions of fillers were extensively compared with experimental results. The model is found to predict the results fairly well with less aberrations up to the total filler volume fraction of similar to 20%. The developed model for TC prediction has been used in the design of high efficiency cryosorption pump where the adhesive material used is Epoxy-Aluminium - Zinc composite.

Item Type: Journal Article
Additional Information: Copy right for this article belong to ELSEVIER SCI LTD
Keywords: Particle reinforced composites; Thermal conductivity; Scanning electron microscopy; Bivariate Poisson distribution; Cryosorption pump
Department/Centre: Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Depositing User: Id for Latest eprints
Date Deposited: 30 Nov 2018 14:49
Last Modified: 30 Nov 2018 14:49
URI: http://eprints.iisc.ac.in/id/eprint/61192

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