Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Purpose This study aims to investigate the effect of vibration on ceramic tools under dry cutting conditions and find optimum condition for hardened steel machining process in a computer numerical control (CNC) lathe machine. Design/methodology/approach In this research, an integrated fuzzy TOPSIS-based Taguchi L9 optimization model has been applied multi-objective (MOO) hard-turning responses. Additionally, tool wear was investigated using Analysis Variance (ANOVA) Fast Fourier Transform (FFT). Findings The responses were obtained at 98 m/min speed, 0.1 mm/rev feed rate 0.2 mm depth cut. According ANOVA input parameters with respect response variables, most significant impact (53.79%) variables. From analysis, rate, contribution 34.74%, shown be parameter influencing excessive consequent wear. Research limitations/implications MOO settings can significantly improve productivity turning over during machining. Originality/value Most studies optimizing performed CNC machines are based single-objective optimization. not studied yet.