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Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 360-365
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 18-05-2026
Metal Matrix Composites (MMCs), especially aluminum based composites reinforced with particles like SiC, B4C, AlO, TiB, CNTs and graphene, are widely used in aerospace, automobile and defense industries because of their high strength to-weight ratio, good wear resistance and better thermal properties. However, machining of MMCs is quite difficult due to the presence of hard reinforcement particles. These particles cause rapid tool wear, poor surface finish, high cutting forces and sometimes unstable machining behaviour. Therefore, selecting proper machining parameters becomes very important in order to improve performance and reduce production cost. Among various optimization techniques available, the method developed by Genichi Taguchi is one of the most commonly used methods because it reduces the number of experiments and gives reliable results using signal-to-noise ratio analysis. In this review paper, nearly 50 recent research articles published in reputed indexed journals (SCI, Scopus, Springer, Elsevier and Web of Science) from 2024 to 2026 are studied and analysed. The papers mainly focus on optimization of machining parameters in turning, milling, drilling, wire EDM, spark EDM and abrasive water jet machining of MMCs using Taguchi method and its hybrid combinations.
Metal Matrix Composites (MMCs), Taguchi Method, Machining Parameter Optimization, Surface Roughness (Ra), Material Removal Rate (MRR), CNC Turning.
Sachin Jadhav, Pratik Chouri, Govind Chavan, Faisal Khan, & Omkar Badiger. (2026). Optimization of Machining Parameters of MMC Using Taguchi’s Method. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 360-365. Article DOI https://doi.org/10.47001/IRJIET/2026.105047
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