Machining is an important manufacturing process used to shape metal materials into desired sizes and shapes. Aluminium is widely used in industries because of its light weight, good strength, and corrosion resistance. However, proper selection of machining parameters is necessary to achieve good surface finish, longer tool life, and higher productivity. This project focuses on the optimization of machining parameters such as cutting speed, feed rate, and depth of cut during the machining of aluminium material. Different machining experiments are conducted by changing these parameters to study their effect on surface roughness and material removal rate. The Taguchi method is used as a statistical technique to analyze the results and determine the best combination of parameters. The main objective of this project is to improve machining performance, reduce production cost, and increase efficiency in aluminium machining operations. The optimized parameters obtained from this study can help industries achieve better quality products with minimum machining time and tool wear.
Kundaram et al. (Thu,) studied this question.
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