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Prediction & Cutting Parameter Optimization for Surface Roughness of Laser Machining of SS-304 Using Taguchi Method

Aquib Rahman, Md Meheruz Rahman, Zahid Hasan Shuvo, Md Jayed Shams, Saikat Chowdhury

Abstract


This paper demonstrates the application of the Taguchi Method for optimizing the cutting parameters for surface roughness in laser cutting of SS 304. The experiment was designed using L9 Taguchi Array in which three cutting parameters (Laser Power, Cutting Speed & Cutting Pressure) were designed at 3 levels. The optimum cutting parameters combination was obtained, and the percentage of error (2.2%) was calculated for the predicted surface roughness value. The result showed that the Cutting Speed and Laser Power have the most significance in affecting the surface roughness while Cutting Pressure has minimal. The research provides an optimum set of parameters for SS 304 cutting with CNC laser machine and a regression equation for predicting surface roughness with minimum error percentage.

Cite as
Aquib Rahman, Md Meheruz Rahman, Zahid Hasan Shuvo, Md Jayed Shams, & Saikat Chowdhury. (2023). Prediction & Cutting Parameter Optimization for Surface Roughness of Laser Machining of SS-304 Using Taguchi Method. Research and Reviews: Journal of Mechanics and Machines, 5(3), 1–10. https://doi.org/10.5281/zenodo.8340971


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