Morphological Evolution and Strength Performance of Green-aluminium-7075 Hybrid Composites modeled by response Surface Analysis
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Date
2023-06-03
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Springer
Abstract
In developing countries, the importation of synthetic ceramic particles for particulate reinforcement of metal matrixes is
costly, so locally sourced and sustainable alternatives are sought after Rice husk ash (RHA) at 3–12 wt.%, glass powder (GP)
at 2–10 wt.%, and stirring temperature (ST) at 600–800 °C were evaluated for their effects on the elemental distribution,
microstructure,andtensileperformanceofaluminum-7075greencomposite.Responsesurfacewasutilizedintheexperimental
design and statistical analysis of the experimental results for the purpose of determining the optimal combination of the three
input variables. Yield, ultimate tensile, flexural, and impact strengths, as well as microhardness and compressive strength,
are examined as responses. To optimize these parameters, response surface analysis was incorporated into the experimental
design, modeling, and optimization procedures. Variation in experimental variables led to microstructural evolution, which in
turn caused variation in performance. Response surfaceanalysis (RSA)revealed thattheinputfactors contributed significantly
to each response, resulting in regression models statistically suited to represent the experimental data, as confirmed by the
diagnostic plots. As a consequence of the optimization, a combination of 7.2% RHA, 6.2 GP, and 695 °C with a desirability
of 0.91 was deemed optimal. A comparison between the predicted values for the responses and the values from the validation
experiment revealed that each response had an error < 5%. Consequently, the models are certified adequate for response
prediction with a confidence level of 95%, and the optimal combination is adequate for the composite’s design.