Open AccessOptimize Multiple Responses For Slide Milling Process Using Nanofluid By Taguchi Method Based on GRA Theory
Author(s) -
Tuan Ngo Minh,
. Vihoang
Publication year - 2019
Publication title -
international journal of advanced engineering research and applications
Language(s) - English
Resource type - Journals
ISSN - 2454-2377
DOI - 10.46593/ijaera.2019.v05i01.002
Subject(s) - grey relational analysis , nanofluid , taguchi methods , materials science , surface roughness , machining , groove (engineering) , surface finish , process (computing) , mechanical engineering , composite material , nanoparticle , computer science , metallurgy , mathematics , nanotechnology , engineering , statistics , operating system
Nanofluids made by mixing the nanoparticles with the cutting fluid can be applied in the machining process to reduce the tool wear and the surface roughness. The Taguchi method based on the grey relational analysis theory was selected to optimize multi-responses for the groove milling process using nanofluids as the tool wear and the surface roughness. The grey relational index (GRI) were determined from the experimental results (the tool wear and the surface roughness) by using the grey relational analysis theory. Then the optimal condition – (the nanoparticle concentration 0.2% and the cutting speed 25mpm) was determined by Taguchi’s method through the mean value and ratio (S/N)..