Optimizing Inconel 825 machinability: A comprehensive approaches using Taguchi Design, Grey-Fuzzy, And Principal Component Analysis

Nickel super alloys have remarkable thermo mechanical capabilities, making them important in industries such as nuclear, chemical, petrochemical, and aerospace. Conversely its difficult machining and cause the poor surface finish and tool wear and so on. This study proposes optimizing machining parameters of Inconel 825 such as cutting speed, feed, and depth of cut towards the responses such as surface roughness, tool flank wear, and cutting force. Optimization of process parameter for this study; the Taguchi Design of Experiments, Grey Relational Analysis, Fuzzy Logic, and Principal Component Analysis (PCA) were used. Experimental were conducted using an L9 orthogonal array and outcomes were evaluated using ANOVA towards the most influencing process parameter. Form the results indicated that the cutting is the most influencing compare with the other parameters. The optimal parameters for turning Inconel 825 were found to be 50 m/min cutting speed, 0.2 mm/rev feed rate, and 0.6 mm depth of cut towards the machining responses. This results conduits towards the machining efficiency of Inconel 825 for industrial applications.