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Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) 5/2023

26.08.2022 | Original Paper

Design and optimization of process parameters for hard turning of AISI 304 stainless steel using Taguchi-GRA-PCA

verfasst von: N. J. Rathod, M. K. Chopra, Prem Kumar Chaurasiya, S. H. Pawar, Damodar Tiwari, Rajan Kumar, Kuldeep K. Saxena, Dharam Buddhi

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 5/2023

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Abstract

This study used the Taguchi technique to optimise the parameters for the AISI 304 stainless steel material in an effort to increase tool life, shorten production times, and lessen surface roughness. For the Taguchi process, ANOVA, Machining criteria are used that take tool life, surface roughness, and production time into account. These criteria include feed rate, cutting speed, and depth of cut (ANOVA). The statistical components of the experiment are prepared using Taguchi, GRA, and PCA. Tool life, Surface Roughness, and production time factors are maximised by the trials' findings, which were then used to determine S/N ratios. Then, surface roughness, minimal production time, and overall tool life are predicted using confirmation tests. The results show that cutting speed significantly affects tool life, cutting speed significantly affects production time, and cutting depth significantly affects surface roughness. For maximum tool life, it was discovered that a feed rate of 0.10 mm/rev, a depth of cut of 0.35 mm, and a cutting speed of 500 m/min were the ideal settings. The ideal circumstances for reducing production time include a cutting speed of 500 m/min, a feed rate of 0.20 mm/rev, and a depth of cut of 0.45 mm. The ideal circumstances for producing the lowest surface roughness are a cutting speed of 300 m/min, a feed rate of 0.15 mm/rev, and a depth of cut of 0.45 mm.

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Metadaten
Titel
Design and optimization of process parameters for hard turning of AISI 304 stainless steel using Taguchi-GRA-PCA
verfasst von
N. J. Rathod
M. K. Chopra
Prem Kumar Chaurasiya
S. H. Pawar
Damodar Tiwari
Rajan Kumar
Kuldeep K. Saxena
Dharam Buddhi
Publikationsdatum
26.08.2022
Verlag
Springer Paris
Erschienen in
International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 5/2023
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-022-01021-w

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