Lelito, Janusz; Zak, Pawel L.; Shirzadi, Amir A.; Greer, A. Lindsay; Krajewski, Witold K.; Suchy, Jozef S.; Haberl, Katharina and Schumacher, Peter
Effect of SiC reinforcement particles on the grain density in a magnesium-based metal-matrix composite: modelling and experiment.
Acta Materialia, 60(6-7) pp. 2950–2958.
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The aim in this work is to develop a numerical model capable of predicting the grain density in the Mg-based matrix phase of an AZ91/SiC composite, as a function of the diameter and total mass fraction of the embedded SiC particles. Based on earlier work in a range of alloy systems, we assume an exponential relationship between the grain density and the maximum supercooling during solidification. Analysis of data from cast samples with different thicknesses, and mass fractions and particle diameters of added SiC, permits conclusions to be drawn on the role of SiC in increasing grain density. By fitting the data, an empirical nucleation law is derived that can be used in a micro-macro model. Numerical simulations based on the model can predict the grain density of magnesium alloys containing SiC particles, using the diameter and mass fraction of the particles as inputs. These predictions are compared with measured data.
|| 2012 Acta Materialia Inc.
|Project Funding Details:
|Funded Project Name||Project ID||Funding Body|
|Not Set||Not Set||Marie Curie Foundation|
||“NOTICE: this is the author’s version of a work that was accepted for publication in Acta Materialia. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Acta Materialia, [VOL60, ISSUE6-7, (April 2012)] DOI 10.1016/j.actamat.2012.01.058”
||metal matrix composites (MMC); particulate reinforced composites; solidification; casting; modelling
||Mathematics, Computing and Technology > Engineering & Innovation
Mathematics, Computing and Technology
||28 Feb 2012 09:35
||25 Feb 2016 14:16
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