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Home  >  Transactions of NAMP VOL 7

32. MODELLING AND OPTIMIZATION OF HYBRID ALUMINIUM COMPOSITE MATERIAL USING RESPONSE SURFACE METHODOLOGY by R.S. Ebhojiaye and E.G. Sadjere Transaction Volume 7, (March, 2018), pp237 – 244
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MODELLING AND OPTIMIZATION OF HYBRID ALUMINIUM COMPOSITE MATERIAL USING RESPONSE SURFACE METHODOLOGY

R.S. Ebhojiaye and E.G. Sadjere

Department of Production Engineering, University of Benin, Benin City, Nigeria.

Department of Mechanical Engineering, University of Benin, Benin City, Nigeria.

Abstract

This study was aimed at modelling and optimizing mechanical properties (i.e. wear rate, creep rate, density, tensile strength, hardness and melting temperature) of a composite material fabricated from the combination of 99.85% pure aluminium ingot, periwinkle shell and palm kernel shell particles in a determined mix ratio using the central composite design (CCD) of the response surface methodology (RSM). The results of the mechanical properties obtained for the different compositions of the fabricated specimens were modeled and optimized in this study. Multi-objective numerical optimization was done to ascertain the desirability of the overall model. The obtained optimal blend solution (i.e. predicted values) of the input variables was validated by producing specimens with the optimal solution values and obtaining the mechanical properties (i.e. empirical values). The RSM analysis gave an optimal composition of the aluminium ingot, periwinkle shell and palm kernel shell particles at 97.3% desirability value. A coefficient of determination (R2) value of 0.9997 (i.e. 99.97%) was obtained when the predicted values from RSM was plotted against the empirical values. The R2 value showed that the model could explain 99.97% of the variance between predicted and empirical values, indicating that there is no significant difference between the predicted values and the empirical values that were obtained. 

Keywords: Wear Rate; Creep Rate; Density; Tensile Strength; Hardness; Melting Temperature;Optimal Blend Solution.

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