Multi-Objective Optimization in Machining (Turning) of Aluminium

Parijat, Kumar (2015) Multi-Objective Optimization in Machining (Turning) of Aluminium. BTech thesis.



The present study highlights a multi-objective optimization problem by applying both TOPSIS and Utility concepts coupled with Taguchi method through a case study in machining (turning) of pure Aluminium. The study aimed at evaluating the best process environment which could simultaneously satisfy multiple requirements of quality and productivity. In view of the fact, the traditional Taguchi method cannot solve a multi-objective optimization problem; to overcome this limitation, TOPSIS and Utility concepts have been coupled with Taguchi method. These two concepts have been adopted to convert a multi-response optimization problem into a single response optimization problem; in which CC (Closeness Coefficient) and U (Utility Index), respectively serve as the representative single objective function for optimization. The study combined TOPSIS/Utility and Taguchi method for predicting optimal setting. Based on Taguchi’s Signal-to- Noise ratio (S/N), analysis has been made on the CC/U and optimal process environment has been selected finally which corresponds to highest S/N Ratio of the CC/U. Optimal result has been verified through confirmatory test. The case study indicates application feasibility of the aforesaid methodology proposed for multi-response optimization and off-line control of multiple quality and productivity characteristics in Aluminium machining.

Item Type:Thesis (BTech)
Uncontrolled Keywords:TOPSIS, Utility, Taguchi method, Signal-to-noise ratio, Closeness Coefficient, Utility Index, Surface Roughness, Tool Tip Temperature, Spindle Speed, Feed Rate, Depth of Cut
Subjects:Engineering and Technology > Mechanical Engineering > Production Engineering
Divisions: Engineering and Technology > Department of Mechanical Engineering
ID Code:7868
Deposited By:Mr. Sanat Kumar Behera
Deposited On:16 Jun 2016 12:19
Last Modified:16 Jun 2016 12:19
Supervisor(s):Datta, S

Repository Staff Only: item control page