Optimization of Multiple process parameter of Milling (multi-objective) on AISI 202 stainless steel using Taguchi based grey relational analysis
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2020 by IJETT Journal | ||
| Volume-68 Issue-10 |
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| Year of Publication : 2020 | ||
| Authors : Varun S, Shilpa Parkhi |
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| DOI : 10.14445/22315381/IJETT-V68I10P214 |
Citation
MLA Style: Varun S, Shilpa Parkhi "Optimization of Multiple process parameter of Milling (multi-objective) on AISI 202 stainless steel using Taguchi based grey relational analysis" International Journal of Engineering Trends and Technology 68.10(2020):81-86.
APA Style:Varun S, Shilpa Parkhi. Optimization of Multiple process parameter of Milling (multi-objective) on AISI 202 stainless steel using Taguchi based grey relational analysis International Journal of Engineering Trends and Technology, 68(10),81-86.
Abstract
In the current competitive landscape prevailing in the manufacturing industry, it is has become crucial to focus on the quality and productivity aspects at a low cost to remain competitive. To achieve a competitive advantage by focusing on improvement activities on how the product is manufactured is crucial. The two most crucial machining characteristics considered here are surface roughness and material removal rate. These two contradict objectives where (Ra) has to be lower, and (MRR) has to be higher. The paper gives a methodology that figures out the optimal cutting or control parameters that satisfy both the objectives mentioned above parallelly. Taguchi grey relational analysis is carried out to obtain to optimize the two objectives. The operation done is face milling on AISI 202 Stainless steel with L27 OA each. Experiments have been done concerning Taguchi grey relational analysis methods with 3 control parameters, say, Feed (f), Speed(v), Depth of cut(d) with 3 levels on each of these. To find out the most significant process parameter on MRR and Ra, Analysis of variance(ANOVA) was used.
Reference
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Keywords
Gray relational analysis, L27 Orthogonal Array, Optimization, ANOVA, Machining