Genetic Modeling for Enhancing Machining Performance of High-Volume Fraction 45% SiCp/Al Particle Reinforcement Metal Matrix Composite
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-09330-w.pdf
Reference44 articles.
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2. Laghari, R.A.; Li, J.: Modeling and optimization of cutting forces and effect of turning parameters on SiCp/Al 45% vs SiCp/Al 50% metal matrix composites: a comparative study. SN Appl. Sci. 3(7), 706 (2021). https://doi.org/10.1007/s42452-021-04689-z
3. Usca, Ü.A., et al.: Estimation, optimization and analysis based investigation of the energy consumption in machinability of ceramic-based metal matrix composite materials. J. Mater. Res. Technol. 17, 2987–2998 (2022). https://doi.org/10.1016/j.jmrt.2022.02.055
4. Chen, J.-P.; Gu, L.; He, G.-J.: A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites. Adv. Manuf. 8(3), 279–315 (2020). https://doi.org/10.1007/s40436-020-00313-2
5. Hakami, F.; Pramanik, A.; Basak, A.K.: Tool wear and surface quality of metal matrix composites due to machining: a review. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 231(5), 739–752 (2017). https://doi.org/10.1177/0954405416667402
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