Optimization of Machining Parameters in Face Milling By Using Taguchi Technique

P.Viswabharathy , A.Manikandan , R.Kannadhasan , M.Harikrishnan , V.Ranjith

AISI 4140 steel, Surface Roughness (Ra), Time, Tool Wear Rate, Material Removal Rate Taguchi Technique.

In this research, the effect of machining parameters on the various surface roughness characteristics (arithmetic average roughness (Ra), time, tool wear rate, material removal rate in the milling of AISI 4140 steel were experimentally investigated. Depth of cut, feed rate, cutting speed were considered as control factors; Ra, time, tool wear rate, material removal rate were considered as response factors. Experiments were designed considering Taguchi L9 orthogonal array. Multi mean and signal-to-noise ratio was calculated for the response variables simultaneously. Analysis of variance was conducted to detect the significance of control factors on responses. Moreover, the percent contributions of the control factors on the surface roughness were obtained to be the number of insert (71.89 %), feed (19.74 %), cutting speed (5.08%) and depth of cut (3.29 %). Minimum surface roughness values for Ra, time, tool wear rate, material removal rate were obtained at 325 m/min cutting speed, 0.08 mm/rev feed rate, 1 number of insert and 1 mm depth of cut by using multi-objective Taguchi technique.

Published Paper   E-Certificate

"Optimization of Machining Parameters in Face Milling By Using Taguchi Technique", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.146 - 158, May-2020, Available :https://ijsdr.org/papers/IJSDR2005026.pdf

Volume 5 Issue 5, May-2020

Pages : 146 - 158

Paper Reg. ID: IJSDR_191731

Published Paper Id: IJSDR2005026

Downloads: 000347257

Research Area: Engineering

Country: TRICHY, TAMILNADU, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2005026

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2005026

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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