To optimize single response problems conventional Taguchi method is popular in the design of experiments. Performance evaluation of the manufacturing process is often determined by more than one quality characteristic. In this situation, multi-characteristics response optimization is the solution to optimize multi-objective quality characteristics. Present work is aimed at simultaneous optimization of machining problem using L8 orthogonal array (OA), utility concept based Pareto ANOVA and MOORA methods. To optimize machining parameters like cutting speed, depth of cut, feed and nose radius on two different performance characteristics surface roughness (Ra) and material removal rate (MRR) during dry turning of austenitic stainless steel AISI 202 with cemented carbide tipped tool and found that higher levels of cutting speed, depth of cut, nose radius and lower levels of feed are critical to achieve low surface roughness and high material removal rate simultaneously. Results of Pareto ANOVA and MOORA are compared.
Volume 11 | 06-Special Issue
Pages: 820-825