In this research, a multi-objective optimization study was conducted on the external cylindrical longitudinal grinding process of AISI 6150 alloy steel. The input variables examined for their influence included wheel speed, workpiece speed, feed, total depth of cut, number of passes, wheel grain size, and wheel porosity. Experimental research was carried out using a custom experimental design based on the I-criterion of optimality. Dimensional deviation was selected to quantify accuracy, surface roughness was used for quality assessment, and material removal rate was employed to measure productivity. The dimensional deviation values ranged from 0.0046 to 0.0144 mm, surface roughness values were between 0.4301 and 3.766 μm, and the material removal rate ranged from 9.375 to 112.5 mm³. Using the experimental findings, an analysis was performed to define the impact of input variables on output variables, and regression equations were developed. The goal was to optimize accuracy, quality, and productivity simultaneously while varying the weighting coefficients in the objective function. The reliability of the model and the optimal values of the variables were validated through confirmation experiments. The obtained absolute errors were acceptable, measuring between 0.0004 to 0.001 mm for dimensional deviation and 0.0102 to 0.0245 μm for surface roughness.
Milošević et al. (Thu,) studied this question.
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