TITLE:
The Development of Mathematical Model for the Prediction of Ageing Behaviour for Al-Cu-Mg/Bagasse Ash Particulate Composites
AUTHORS:
V.S. Aigbodion, S.B. Hassan, E.T. Dauda, R.A. Mohammed
KEYWORDS:
Al-Cu-Mg alloy, Ageing temperature and time, Analysis of variance, Bagasse Ashand Linear regression
JOURNAL NAME:
Journal of Minerals and Materials Characterization and Engineering,
Vol.9 No.10,
October
20,
2010
ABSTRACT: The thermal ageing behaviour model of Al-Cu-Mg/Bagasse ash particulate composites with 2-
10wt% bagasse ash particles produced by double stir-casting method was developed in terms of
weight fraction of bagasse ash, ageing temperature and time. Hardness values measurement was
used in determining the ageing behaviour, after solution and age-hardened heat-treatment. The
experimental results demonstrate that the bagasse ash was the major parameter in the ageing
behaviour, followed by ageing temperature. The hardness values decreased as the ageing time
increases, interaction of weight of bagasse ash, ageing time and ageing temperature. Moreover,
the optimal combination of the testing parameters could be predicted. The predicted hardness
values were found to lie close to that of the experimentally observed ones. The developed
mathematical model can be employed for optimization of the process parameters of the ageing
behaviour of Al-Cu-Mg/Bagasse ash particulate composites with respect to hardness values.