Statistical Analysis and Optimization of the Experimental Results on Performance of Green Aluminum-7075 Hybrid Composites
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Date
2023-03-13
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Journal of Composites Science
Abstract
The present study assessed the potential of engaging response surface analysis in the ex
perimental design, modeling, and optimization of the strength performance of aluminum-7075 green
composite. The design of the experiment was carried out via the Box–Behnken method and the inde
pendent variables are rice husk ash (RHA) at 3–12 wt.%, glass powder (GP) at 2–10 wt.%, and stirring
temperature (ST) at 600–800 C. Responses examined are yield, ultimate tensile, flexural, and impact
strengths, as well as microhardness and compressive strength. ANOVA analysis revealed that the
input factors had consequential contributions to each response, eventually presenting regression models
statistically fit to represent the experimental data, further affirmed by the diagnostic plots. The result of
the optimization envisaged an optimal combination at 7.2% RHA, 6.2 GP, and 695 C with a desirability
of 0.910. A comparison between the predicted values for the responses and the values of the validation
experiment revealed an error of <5% for each response. Consequently, the models are certified adequate
for response predictions at 95% confidence, and the optimum combination is adequate for the design of
the composite
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Adesina, O.S.; Akinwande, A.A.; Balogun, O.A.; Adediran, A.A.; Sanyaolu, O.O.; Romanovski, V. Statistical Analysis and Optimization of the Experimental Results on Performance of Green Aluminum-7075 Hybrid Composites. J. Compos. Sci. 2023, 7, 115. https:// doi.org/10.3390/jcs7030115