TOPSIS based selection of optimal end milling process parameters

The present investigation is optimized for process parameters during end milling machining of AA6082T6 metal using TOPSIS MCDM technique. In this study, process parameters are tool cutting speed, depth of cut, and feed per tooth for each experiment on the response like material removal rate (MRR) and surface roughness average (Ra) & root mean square (Rq). L27 orthogonal array is designed to develop the optimal input process variable set for the experiment. This multi-criteria decision approach finds an output response related to the closeness coefficient between the feasible solution and the ideal solution. The Topsis method was approached to obtain a normalized vector, weighted decision matrix, measure separation, and rank the values based on ideal best and worst performance. This approach furnishes an appropriate ranking order based on the available alternatives. The output results support that the proposed model is fruitful and useful to facilitate multi-criteria decision-making problems under the environment of uncertainty, unreliability, and ambiguity. The obtained result illustrates the process variable of the 24th set of L27 orthogonal array produces an optimal outcome followed by 21st, 23rd, and 22nd array data set.