Application of Taguchi approach and Utility Concept in solving the Multi-objective Problem when turning AISI 202 Austenitic Stainless Steel

Abstract

The traditional Taguchi method is widely used for optimizing the process parameters of a single response problem. Optimization of a single response results the non-optimum values for remaining. But, the performance of the manufactured products is often evaluated by several quality characteristics/responses. Under such circumstances, multi-characteristics response optimization may be the solution to optimize multi-responses simultaneously. In the present work, a multi-characteristics response optimization model based on Taguchi and Utility concept is used to optimize process parameters, such as speed, feed, depth of cut, and nose radius on multiple performance characteristics, namely, surface roughness (Ra) and material removal rate (MRR) during turning of AISI 202 austenitic stainless steel using a CVD coated cemented carbide tool. Taguchi's L8 orthogonal array (OA) is selected for experimental planning. The experimental result analysis showed that the combination of higher levels of cutting speed, depth of cut, and nose radius and lower level of feed is essential to achieve simultaneous maximization of material removal rate and minimization of surface roughness. The ANOVA and F-tests are used to analyze the results. Further, the confirmation tests are conducted and the results are found to be within the confidence interval.

A comparison of the different multiple response optimization techniques for turning operation of AISI O1 tool steel

“…The basic concept of GRA is to find a Grey relational grade (GRG), which can be used for the optimization conversion from a multi-objective case to a singleobjective case. Kumar & Singh (2014), Kaladhar, et al (2011), Kumar et al (2000), Walia et al (2006) and Kumar & Khamba (2010) used Taguchi method and utility concept for multi response optimization. Tong et al (2007) performed multi response optimization by using VIKOR method.…”

Prelimenary Investigation of Parametric Optimization on Turning Process Using UVAT Tool Holder Based on Taguchi Method

“…The approach of this method is to reduce the number of experiments using a special orthogonal circuit developed by Taguchi. With this method, it is possible to obtain process optimization while simultaneously minimizing the sensitivity of experimental external variation [11] The result of this method is expected that the optimal process parameters obtained from the parameter design are not sensitive to the variation of environmental conditions and other noise factors. Therefore, parameter design is a key step in Taguchi's method of achieving high quality without increasing cost [12].…”

A fuzzy dynamic multi-objective, multi-item model by considering customer satisfaction in supply chain

“…One of the important steps involved in Taguchi's technique is a selection of orthogonal array. This method is an e cient procedure that is developed as an alternative to the full factorial experimental design method [35]. There are two suggested ways in Taguchi method to analyze the results.…”