• Nnuka, E. E.
• Edoziuno, F. O.
• Nwaeju, C. C.
• Akinlabi, Esther Titilayo
• Elechi, A. M.
• Adediran, A. A.

Abstract

<p>In this present work, aluminium bronze was doped at a percentage of 1-10 chemical composition of alloying additives (V, Mn, Nb, Ni and Cr) prepared using a sand casting method. The study targeted at improving the mechanical properties of aluminium bronze with alloying additives and using response surface methodology to develop a predictive model. The statistical analysis was done singly, as the alloying elements were added separately into Cu-10%Al alloy. Five alloying elements under 11 experimental runs were designated as independent variables and mechanical properties namely., ultimate tensile strength, %elongation, hardness, and impact strength were set as the response variables in the experimental design matrix. The results obtained from mechanical analytical tests were optimized and a predictive regression model developed using optimal custom design of RSM-Design Expert software.  The developed model through statistical analysis of variance (ANOVA) revealed that the alloying elements significantly improved the mechanical properties haven shown a significant p-value of &lt;0.05. The model effectively predicted an optimal composition factor level of the 3.00% vanadium, 1.00% manganese, 7.00% niobium, 2.00% nickel, and 9.00% chromium at the best desirability of 1.00. The predictive model developed in this work will help to achieve appropriate output for aluminium bronze component improvement.</p>

Topics

• surface
• nickel
• chromium
• aluminium
• strength
• hardness
• chemical composition
• tensile strength
• Manganese
• bronze
• vanadium
• niobium
• sand casting