TY - JOUR
T1 - Effects of machining parameters on enhancing Alpha-Beta Titanium alloy using Taguchi-grey relational analysis for aerospace applications
AU - Unnikrishna Pillai, Jayakrishnan
AU - Shunmugavel, Manikandakumar
AU - Thangaraj, Muthuramalingam
AU - Goldberg, Moshe
AU - Singh, Rajkumar
AU - Littlefair, Guy
N1 - Publisher Copyright:
© IMechE 2022.
PY - 2023/4
Y1 - 2023/4
N2 - The need for enhancement of productivity and quality of the machined titanium alloy components is paramount to meet the high demands of aerospace parts. Various optimization techniques are being used widely to find suitable machining parameters to improve productivity and reduce surface defects. The present study aims to derive an optimal combination of process parameters during the end milling operation of Ti-6Al-4V alloy for enhancing performance measures which are surface roughness, specific cutting energy and material removal rate (MRR). The Grey relational optimization techniques along with Taguchi method has been utilized for finding the optimum machining parameters. It has been found that the axial depth of cut has the most significant factor on machining characteristics in end milling process of titanium alloy.
AB - The need for enhancement of productivity and quality of the machined titanium alloy components is paramount to meet the high demands of aerospace parts. Various optimization techniques are being used widely to find suitable machining parameters to improve productivity and reduce surface defects. The present study aims to derive an optimal combination of process parameters during the end milling operation of Ti-6Al-4V alloy for enhancing performance measures which are surface roughness, specific cutting energy and material removal rate (MRR). The Grey relational optimization techniques along with Taguchi method has been utilized for finding the optimum machining parameters. It has been found that the axial depth of cut has the most significant factor on machining characteristics in end milling process of titanium alloy.
KW - grey analysis
KW - milling
KW - optimization
KW - titanium alloy
UR - http://www.scopus.com/inward/record.url?scp=85142764658&partnerID=8YFLogxK
U2 - 10.1177/09544089221093979
DO - 10.1177/09544089221093979
M3 - Article
AN - SCOPUS:85142764658
SN - 0954-4089
VL - 237
SP - 118
EP - 127
JO - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
IS - 2
ER -