Open AccessMulti-objective optimization using TOPSIS in turning of Al 6351 alloy
Author(s) -
Shu Rao,
Shaik Jeelani,
V Swamulu
Publication year - 2021
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/1112/1/012010
Subject(s) - topsis , machining , surface roughness , maximization , ideal solution , similarity (geometry) , minification , parametric statistics , mechanical engineering , computer science , mathematical optimization , materials science , mathematics , metallurgy , engineering , statistics , artificial intelligence , composite material , operations research , chemistry , image (mathematics)
Surface finish and machining rate are the important machining criteria in turning process and plays a vital role in manufacturing environment. This work focused on the parametric optimization of cutting velocity, feed and depth of cut in turning of AA 6351 alloy with carbide tool for maximization of machining rate and minimization of surface roughness simultaneously using technique for order Preference by similarity to ideal solution (TOPSIS) method. Contribution of every machining parameter on multi objectives is spotted by employing analysis of variance (ANOVA). Finally results are validated with a confirmation experiment. Significant improvement within the responses is observed using the TOPSIS method.