Open AccessSurface roughness evaluation in machining titanium alloys using non-textured and textured cutting inserts
Author(s) -
N. Abishekraj,
T. Gowtham,
V. Krishnaraj,
R. Bibeye Jahaziel,
B. Geetha Priyadarshini
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/912/3/032076
Subject(s) - machining , surface roughness , materials science , titanium alloy , surface finish , response surface methodology , cutting tool , metallurgy , mechanical engineering , composite material , engineering drawing , alloy , computer science , engineering , machine learning
Ti-6Al-4V alloy is well known for its difficulty in machining due to its ultimate hardness. The temperature generated at the tool-chip interface is typically high which results in poor surface finish and rapid tool wear. The current focus of work was to analyze the influence of response parameters such as cutting speed, feed rate and depth of cut on the surface roughness on the non-textured and textured cutting inserts. Response Surface Methodology (RSM) was utilized to generate the analytical relation between the process parameters and their interaction with the responses namely surface roughness. Analysis of Variance (ANOVA) was implemented to correlate with the significant factors and the correctness of the model. The machining was done experimentally using the textured and non-textured tools and the surface roughness was measured to analyze the influence of process parameters. It was found that the surface roughness was immensely reduced while using microtextured cutting tools.