Prediction of effective thermal conductivity of heterogeneous random multi-phase composites

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Fedaoui K, Madani S, Kanit T. Prediction of effective thermal conductivity of heterogeneous random multi-phase composites. UPB Scientific Bulletin Series D: Mechanical Engineering. 2016;78 (3) :91-100.

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said BOUTAANIM, Madani S, Fedaoui K, Kanit T. EVALUATION OF EFFECTIVE MECHANICAL PROPERTIES OF COMPLEX MULTIPHASE MATERIALS WITH FINITE ELEMENT METHOD. composites [Internet]. 2017;3 (4) :5-6. Publisher's Version Abstract

Prediction of effective properties for multiphase composite is very important not only to analysis and optimization of material performance, but also to new material designs. In this paper, the effective elastic property of some complex particulate composites is analyzed and compared with numerical results, demonstrating the validity of the proposed approach. We propose the equivalent morphology concept for the numerical homogenization of random composites. In this study, this concept is extended for complex material. A home script based on Python codes is made to automate the generating of Representative volume element with various volume fraction.

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Bayarassou M, Baira F, Zidani M, Djimaoui T, Fedaoui K. Study of the Effect of Aging on Precipitation in Wire Drawn and Annealed Aluminum Alloy (AGS). Defect and Diffusion Forum [Internet]. 2019;397 :76-80. Publisher's Version Abstract

In this paper, the study of precipitation reaction in the aluminum alloy known as AGS 6101. For the case of Cold drawn wires process in the open air space and at room temperature for two years, we inspect first the presence of precipitates in the microstructure and study the effect of heat treatment on the activation of this phenomenon [1]. The second objective of this work is to see the effect of natural and thermal aging on the microstructural evolution of cold-drawn aluminum wires (AGS) 6101 [2-5]. The characterization methods used in this work are optical microscopy (OM), scanning electron microscopy (SEM) and X-ray diffraction.

Laboratoire de Mécanique des Structures et Matériaux

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Prediction of effective thermal conductivity of heterogeneous random multi-phase composites

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