Open AccessParametric Study on Turning of AISI 1040 Steel
Author(s) -
Azadar Mehdi,
Aamir
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst218436
Subject(s) - surface roughness , parametric statistics , productivity , materials science , selection (genetic algorithm) , surface finish , metallurgy , process (computing) , scale (ratio) , mechanical engineering , computer science , engineering , composite material , mathematics , artificial intelligence , statistics , economics , geography , cartography , macroeconomics , operating system
Turning is a most popular cutting process which is widely used in small as well as the large-scale industries. The selection of better combination of the input parameter be means enhancement in productivity. The aim of this paper is to the study effect of ( Cutting Speed, Depth of cut, Feed rate ) on surface roughness and to obtained the data.