Title: High-speed machining of Inconel 718: cutting parameters optimisation using RSM-GA approach

Authors: A.K.M. Nurul Amin; A.N.M. Amanullah Tomal; Kazi Sami Al-Jabir; Nusrat Jahan; Washima Zaman

Addresses: Department of Industrial and Production Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh ' Department of Industrial and Production Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh ' Department of Industrial and Production Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh ' Department of Industrial and Production Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh ' Department of Industrial and Production Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh

Abstract: This research aims at finding suitable combination of cutting parameters for high-speed machining (HSM) of Inconel 718 - a nickel-based super alloy to achieve minimum surface roughness and tool wear. Later, the findings are evaluated implying the desirability criteria of response surface methodology (RSM) and the optimisation approach of genetic algorithm (GA). It is observed that a combination of cutting speed (80-137 m/min) and feed rate (0.005-0.150 mm/tooth) yields the minimum achievable range of surface roughness and tool wear. Analysing with RSM yields average surface roughness value of 0.191 μm and tool wear 0.008 mm, whereas GA predicted these values as 0.12 μm and 0.003 mm, respectively. Later, based on the scanning electron microscope (SEM) image of the surface texture, it was concluded that high-speed produces a better surface finish and the variation in feed rate had no discernible impact on surface roughness.

Keywords: surface roughness; tool wear; high-speed machining; HSM; response surface methodology; RSM; genetic algorithm; GA; scanning electron microscope; SEM; Inconel 718.

DOI: 10.1504/IJMMM.2023.133380

International Journal of Machining and Machinability of Materials, 2023 Vol.25 No.2, pp.140 - 156

Received: 24 Oct 2022
Accepted: 15 Jan 2023
Published online: 14 Sep 2023 *

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