Abstract

The optimal parameter settings for stir casting of the A-Si-Mg alloy reinforced with carbon nanotubes synthesized from rice husk (CNTs -derived RH) and periwinkle shell nanoparticle (PWSnp) nanocomposites were determined using the Taguchi-grey relational method. The wt% CNTs derived RH, wt% PWSnp stirring speed, and time were the stir casting parameters, and porosity, hardness values, and compressive strength were used in the multi-response for the study. The optimal condition is 0.5wt CNTs derived RH, 1.5wt% PWSnp, 250rpm stirring speed, and 5-minute stirring time. The Taguchi Grey method is applicable for the multi-response optimization of aluminum waste beverage cans, CNTs derived from RH, and PWSnp nanocomposites, as the experimental results fall within the range of the predicted values.

Keywords: Stir Casting Parameters, Al-Si-Mg Alloy, Carbon Nanotubes (CNTs) Derived from Rice Husk, Periwinkle Shell Nanoparticles (PWSnp), Taguchi-Grey Relational Method, Nanocomposites Optimization

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How to Cite
[1]
Ezechukwu, V.C. et al. 2024. Multi-Response Optimization of Stir Casting Parameter of New Nanocomposites Formulation of Al-Si-Mg Alloy Reinforced with Synthesis Carbon Nanotube and Periwinkle Shell Nanoparticles via Taguchi-Grey Approach. International Journal of Science and Engineering Invention. 10, 10 (Dec. 2024), 71–81. DOI:https://doi.org/10.23958/ijsei/vol10-i10/276.

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Copyright © 2024 Vincent Chukwuemeka Ezechukwu Tamunonimim Kelsy Braide Chukwuemeka Chidozie Nwobi-Okoye this is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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This work is licensed under a Creative Commons Attribution 4.0 International License.