Response Surface-Based Optimization of Cutting Parameters in Wet Turning of Eggshell-Reinforced Aluminum Alloy 6351 Composite for Enhanced Temperature and Cutting Force Performance
DOI:
https://doi.org/10.54536/ajamr.v1i1.6171Keywords:
Material Removal Rate, Numerical Optimization, Regression Equation, Response Surface Methodology, Surface RoughnessAbstract
This work focused on response surface-based optimization of cutting parameters during wet turning to enhance temperature and cutting force performance of an eggshell-reinforced AA6351 composite. The Aluminum alloy eggshell reinforced composites were composed of 15% eggshell and 85% aluminum alloy. 2% crushed magnesium was mixed with molten metal to improve wettability through surface energy, interface energy, and surface tension reduction. The p-values of 0.0022 and 0.0078 for the temperature and CF response models, respectively, indicate that the cutting parameters in the model had a substantial impact on the responses. The significant influence of Vc on temperature and CF is demonstrated by P-values less than 0.0001 and 0.0003, respectively. Vc has a significant effect on temperature and CF and positively affects the way Fr, and Dc affect the responses. The high R2 values of 0.9721 and adjusted R2 of 0.9220 for CF, and 0.9534 R2 and adjusted R2 of 0.8696 for temperature, respectively, demonstrate how well the model fits the data for both variables. The optimal CF and temperature values, 128.117 N and 41.7652 ºC, respectively, are obtained by turning operations on AAERC with input variables Vc, Fr and Dc set at 368.139 rpm, 0.389925 mm/min, and 0.322686 mm.
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Copyright (c) 2025 Chidiadi Bethel Mba, Chinomso Stanley Nwoziri, Uzochukwu Franklin Onwuka, Uchenna Henry Alozie, Macdonald Chinyere Sunday, Osim Awuna Okpa, Onyekachi Monday Okafor, Daniel Edem Effiong
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