Abstract
A thorough investigation is conducted on turning operation machining parameters on SS 304. Using the Grey–Based Taguchi approach, this research looks at multi-objective Turning process optimization in order to locate best parametric in conjunction for a minimum production time and maximum tool life. Feed rate, Cutting speed as well as depth of cut are all called turning parameters. In order to overcome the multi-response optimization problem, total nine test runs based on Taguchi's L9 OA were performed, Grey relational analysis follows. The Grey relational grade value was used to determine optimum parameter levels. The use of analysis of variance (ANOVA) will be crucial in the recognition of the most significant parameters among speed, feed, and cut depth.
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