Multi-objective optimization using Taguchi based grey relational analysis for micro-milling of Al 7075 material with ball nose end mill
By E. Kuram, B. Ozcelik. 2013
264 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/2c7fb8581ffd3b5605da50d0c83966e398a2a29f
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In Electrical and Electronic Engineering
In Mechanical Engineering
Citations in the corpus
- Multi-Objective Optimization of Cutting Parameters in Turning AISI 304 Austenitic Stainless Steel (2020, methodology): “Kuram and Ozcelik [7] measured MRR, cutting force, and surface roughness in micro-milling Al 7075 and used grey relational analysis to determine the optimal combination of milling parameters with these three machining characteristics as objectives.”
- Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption (2014, methodology): “Taguchi optimization, developed by Dr. Genichi Taguchi, is a set of methodologies in which the inherent variability of materials and manufacturing processes is taken into account at the design stage (Kuram and Ozcelik, 2013).”