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

• Published in: International journal on interactive design and manufacturing Vol. 17; no. 5; pp. 2403 - 2414
• Main Authors: Rathod, N. J., Chopra, M. K., Chaurasiya, Prem Kumar, Pawar, S. H., Tiwari, Damodar, Kumar, Rajan, Saxena, Kuldeep K., Buddhi, Dharam
• Format: Journal Article
• Language: English
• Published: Paris Springer Paris 01.10.2023; Springer Nature B.V
• Subjects: Austenitic stainless steels; Boron; CAE) and Design; Chemical vapor deposition; Computer-Aided Engineering (CAD; Content analysis; Criteria; Cutting parameters; Cutting speed; Design optimization; Electronics and Microelectronics; Engineering; Engineering Design; Feed rate; Industrial Design; Instrumentation; Investigations; Mechanical Engineering; Optimization; Original Paper; Principal components analysis; Process parameters; Surface roughness; Taguchi methods; Time factors; Tool life; Turning (machining); Variables; Variance analysis; Production time; SS 304; ANOVA; GRA; Surface roughness; Taguchi; Tool life; PCA
• ISSN: 1955-2513; 1955-2505
• DOI: 10.1007/s12008-022-01021-w

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.