Adediran, Adeolu Adesoji and Akinwande, Abayomi Adewale and Adesina, Olanrewaju S. and Agbaso, Victor and Balogun, Oluwatosin Abiodun and Kumar, B. Ravi (2023) Modeling and optimization of green-Al 6061 prepared from environmentally source materials. Heliyon, 9 (8). e18474.
Full text not available from this repository.Abstract
Recent studies are evaluating the use of particulates fabricated from agro-based residues as reinforcement for enhancing the properties of aluminium alloys. This report focuses on the optimization approach and modeling of responses for future prediction, which are absent from the majority of studies involving particle reinforcement of an aluminum matrix. Herein, palm kernel shell ash (PKA) and rice husk ash (RHA) were incorporated with 4 wt% of WSD and used as fillers in the Aluminium-6061 matrix at variable proportions. The response surface approach was utilized in the experiment design, modeling, and outcome optimization. The independent variables are the proportions of PKA and RHA and stir casting temperature. Yield, ultimate tensile, impact strength, elastic modulus, and fracture toughness are examined as response parameters. The results demonstrated that the microstructural property played a significant role in the responses. Incorporating PKA and RHA into the Al-6061 matrix improved the response parameters. Temperatures in the range of 700 and 800 °C enhanced the property parameters, even though temperatures within 800 and 900 °C caused a decline in response. The dependence of the responses on the pattern between property variables was revealed by surface and contour plots. The development of models for predicting responses. Optimal conditions were reached at 4.03% PKA, 5.12% RHA, and 787 °C, with an error <5% when compared to the forecast responses, thus validating the model.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TN Mining engineering. Metallurgy |
| Depositing User: | Engr Adeolu Adesoji ADEDIRAN |
| Date Deposited: | 15 Jan 2024 11:05 |
| Last Modified: | 15 Jan 2024 11:05 |
| URI: | https://eprints.lmu.edu.ng/id/eprint/4184 |
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