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09-01-2022

Optimization on the Turning Process Parameters of SS 304 Using Taguchi and TOPSIS

Authors: Nikhil J. Rathod, Manoj K. Chopra, Prem Kumar Chaurasiya, Umesh S. Vidhate, Abhishek Dasore

Published in: Annals of Data Science | Issue 5/2023

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Abstract

The article focuses on the optimization of turning process parameters for SS 304 stainless steel using Taguchi and TOPSIS methods. It aims to improve tool life, production time, and surface roughness by determining the optimal cutting parameters. The study employs an L9 orthogonal array for experimental design and utilizes TOPSIS for multi-objective optimization. The results indicate that cutting speed is the most significant factor, followed by feed rate and depth of cut. The article also includes a comparative analysis with previous studies, highlighting the effectiveness of the proposed methods. The findings have practical implications for enhancing the efficiency and quality of the turning process in various industries.
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Metadata
Title
Optimization on the Turning Process Parameters of SS 304 Using Taguchi and TOPSIS
Authors
Nikhil J. Rathod
Manoj K. Chopra
Prem Kumar Chaurasiya
Umesh S. Vidhate
Abhishek Dasore
Publication date
09-01-2022
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 5/2023
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-021-00369-2

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