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Growing Science » International Journal of Industrial Engineering Computations » Parametric optimization during machining of AISI 304 Austenitic Stainless Steel using CVD coated DURATOMIC cutting insert

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 3 Issue 4 pp. 577-586 , 2012

Parametric optimization during machining of AISI 304 Austenitic Stainless Steel using CVD coated DURATOMIC cutting insert Pages 577-586 Right click to download the paper Download PDF

Authors: M. Kaladhar, K. Venkata Subbaiah, Ch. Srinivasa Rao

DOI: 10.5267/j.ijiec.2012.04.002

Keywords: AISI 304 austenitic stainless steel, CVD coated cemented carbide, Surface roughness

Abstract: In this work, Taguchi method is applied to determine the optimum process parameters for turning of AISI 304 austenitic stainless steel on CNC lathe. A Chemical vapour deposition (CVD) coated cemented carbide cutting insert is used which is produced by DuratomicTM technology of 0.4 and 0.8 mm nose radii. The tests are conducted at four levels of Cutting speed, feed and depth of cut. The influence of these parameters are investigated on the surface roughness and material removal rate (MRR). The Analysis Of Variance (ANOVA) is also used to analyze the influence of cutting parameters during machining. The results revealed that cutting speed significantly (46.05%) affected the machined surface roughness values followed by nose radius (23.7%). The influence of the depth of cut (61.31%) in affecting material removal rate (MRR) is significantly large. The cutting speed (20.40%) is the next significant factor. Optimal range and optimal level of parameters are also predicted for responses.

How to cite this paper
Kaladhar, M., Subbaiah, K & Rao, C. (2012). Parametric optimization during machining of AISI 304 Austenitic Stainless Steel using CVD coated DURATOMIC cutting insert.International Journal of Industrial Engineering Computations , 3(4), 577-586.

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Journal: International Journal of Industrial Engineering Computations | Year: 2012 | Volume: 3 | Issue: 4 | Views: 3974 | Reviews: 0

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