An Integrated Fuzzy-MOORA Method for the Selection of Optimal Parametric Combination in Turing of Commercially Pure Titanium

This chapter explores the application of a hybrid approach namely multi-objective optimization based on ratio analysis (MOORA) in fuzzy context to obtain the best parametric combination during machining of commercially pure titanium (CP-Ti) Grade 2 with uncoated carbide inserts in dry cutting environment. A series of experiment was performed by adopting Taguchi based L27 orthogonal array. Cutting speed, feed rate, and depth of cut were selected as three process variables whereas cutting force, surface roughness and flank wear were selected as three major quality attributes to be minimized. The minimization was exploited using fuzzy embedded MOORA method and hence an optimal parametric combination was attained. The results of the investigation clearly revealed that, the fuzzy coupled with MOORA method, was capable enough in acquiring the best parametric setting during turning operation under specified cutting conditions.