4.6 Article

Modeling of thermal expansion behavior of densely packed Al/SiC composites

Journal

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
Volume 102, Issue -, Pages 77-88

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijsolstr.2016.10.015

Keywords

Metal-matrix composites (MMCs); Microstructures; Thermal expansion; Finite element analysis (FEA); Plastic deformation

Categories

Ask authors/readers for more resources

In this paper the approach for finite element (FE) modeling and analysis of thermal expansion behavior of densely packed Al/SiC composites is proposed. The coefficient of linear thermal expansion (CTE) is predicted from 50 degrees C to 500 degrees C by considering temperature dependent linear elastic and elastoplastic matrix material behavior. Three dimensional representative volume elements (RVEs) are generated to model the composite's microstructures. In order to study the effect of thermal residual stresses, first the RVEs are simulated for cooling process from processing temperature to room temperature and thermal residual stresses are estimated by considering different mechanical behaviors of Al matrix. Next, the thermal expansion behavior is examined with existing residual stresses. The presence of thermal residual stresses is observed to influence the effective CTE in the initial temperature range (25 degrees C-100 degrees C) of heating. The contact state of reinforced particles significantly influences the thermal expansion behavior. It is observed that the effective CTE of composites with non-interpenetrating microstructure is higher than that of the composites having interpenetrating microstructure. The effects of voids on the thermal expansion behavior are analyzed further. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available