COMPARISON OF TOPSIS AND DFA METHODS IN OPTIMIZATION IN THE THIN-WALLED MILLING OF ALUMINUM 6061

Abstract

This paper presents the application of TOPSIS method in solving the multi-objective optimization problem
in thin-walled milling of the 6061 aluminum. The cutting parameters of the milling process include cutting speed
(Vc), the feed rate (fz) and the wide of cut (ar) were studied to determine their influence on the quality evaluation
criteria of the product including surface roughness (Ra), flatness deviation (FD) and material removal rate (MRR).
In this study, the TOPSIS is used to find the optimal cutting parameters set in order to achieve the goal of
minimizing the values Ra, FD and maximize MRR, simultaneously. Accordingly, the optimization results using
DFA predicted that the value of surface roughness Ra would decrease by 57% to 0.145µm, flatness would
decrease by approximately 154% to 0.07mm. However, the machining productivity would also decrease by
23%.The optimization results by TOPSIS method are also compared with the Desirability Function Approach
(DFA) method to evaluate the advantages, disadvantages and applicability of these methods in research as well
as in actual production. Thus, the optimization results using DFA predicted that the value of surface roughness
Ra would decrease by 57% to 0.145µm, flatness would decrease by approximately 154% to 0.07mm. However,
the machining productivity would also decrease by 23%.