TY - GEN
T1 - Multi-objective optimization in MQCL turning of AISI 304 steel using MEREC, CODAS, ARAS and COPRAS method
AU - Baraily, Abinay
AU - Ghadai, Ranjan Kumar
AU - Das, Soham
AU - Phipon, Ruben
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Primary function of coolant in machining process is to remove buildup heat between the workpiece and cutting zone, to remove friction between tool, chip and workpiece by producing lubrication, to flush away small particles and chip from the work zone. Minimum quantity cooling lubrication (MQCL) is a new replacement towards traditional flood cooling method that serve low cost and ecofriendly purpose. In the present study turning operation is caried out of AISI 304 steel under MQCL and flood cooling condition. In turning, it is challenging to select optimal process parameters to enhance overall performance. This paper emphasizes on overcoming these challenges by selecting best input parameter like depth of cut, feed rate, cutting speed which enhances the overall performance as a result improving surface roughness and reducing axial and radial vibration. To encourage this selection process now various Multi criteria decision making (MCDM) tools are available. This study explores the application of newly developed weight calculation method i.e., MEREC to estimate criteria weight. In addition to that Combination Distance-based Assessment (CODAS), additive ratio assessment (ARAS), Complex Proportional Assessment (COPRAS) is employed for the optimization of various criteria.
AB - Primary function of coolant in machining process is to remove buildup heat between the workpiece and cutting zone, to remove friction between tool, chip and workpiece by producing lubrication, to flush away small particles and chip from the work zone. Minimum quantity cooling lubrication (MQCL) is a new replacement towards traditional flood cooling method that serve low cost and ecofriendly purpose. In the present study turning operation is caried out of AISI 304 steel under MQCL and flood cooling condition. In turning, it is challenging to select optimal process parameters to enhance overall performance. This paper emphasizes on overcoming these challenges by selecting best input parameter like depth of cut, feed rate, cutting speed which enhances the overall performance as a result improving surface roughness and reducing axial and radial vibration. To encourage this selection process now various Multi criteria decision making (MCDM) tools are available. This study explores the application of newly developed weight calculation method i.e., MEREC to estimate criteria weight. In addition to that Combination Distance-based Assessment (CODAS), additive ratio assessment (ARAS), Complex Proportional Assessment (COPRAS) is employed for the optimization of various criteria.
UR - https://www.scopus.com/pages/publications/85163736942
UR - https://www.scopus.com/pages/publications/85163736942#tab=citedBy
U2 - 10.1063/5.0146135
DO - 10.1063/5.0146135
M3 - Conference contribution
AN - SCOPUS:85163736942
T3 - AIP Conference Proceedings
BT - International Conference on Mechanical Materials and Renewable Energy, ICMMRE 2022
A2 - Ghadai, Ranjan
A2 - Dewan, Anupam
A2 - Das, Soham
A2 - Kundu, Tanmoy
A2 - Das, Partha Protim
PB - American Institute of Physics Inc.
T2 - 3rd International Conference on Mechanical Materials and Renewable Energy, ICMMRE 2022
Y2 - 11 February 2022 through 12 February 2022
ER -