Integrating TAGUCHI Design with MCDM Frameworks for Multi-Objective Optimization of Ti6AL4V Grinding Via Ester-Based Minimum Quantity Lubrication (MQL)
 
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1
Department of Mechanical Engineering, Thai Nguyen University of Technology, Viet Nam
 
2
Department of Mechanical, Electrical and Electronic Technology, Thai Nguyen University of Technology, Viet Nam
 
These authors had equal contribution to this work
 
 
Submission date: 2026-03-13
 
 
Final revision date: 2026-04-01
 
 
Acceptance date: 2026-04-21
 
 
Online publication date: 2026-05-12
 
 
Corresponding author
Thi Thu Dung Nguyen   

Department of Mechanical, Electrical and Electronic Technology, Thai Nguyen University of Technology, Viet Nam
 
 
 
KEYWORDS
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ABSTRACT
Ti6Al4V is characterized by its superior strength and exceptional corrosion resistance. Due to its high strength-to-weight ratio, this alloy is extensively utilized in fabricating high-precision components within the aerospace industry, such as turbine blades and engine casings as well as in the medical sector for artificial joints and dental implants. This study explores the multi-objective optimization of the grinding process for this specific alloy using SiC abrasive wheels under Ester-based MQL conditions. The Taguchi method was implemented to develop the experimental matrix, focusing on four primary input parameters: fluid pressure, workpiece velocity, feed rate, and depth of cut. To evaluate the process performance, surface roughness and three cutting force components were analyzed. Five distinct ranking methodologies were integrated with four weighting techniques to determine the optimal processing conditions. Experimental analysis reveals that Ester oil in the MQL system effectively penetrates the cutting zone to mitigate friction, maintaining a minimum surface roughness of 0.828 \mu m and suppressing the material plowing effect associated with SiC wheels. The findings further confirm the process stability, as surface quality remained consistently controlled even at low normal forces (Fz = 7.39 N), allowing for greater flexibility in selecting cutting regimes. The final ranking results demonstrated high convergence across different MCDM methods and weighting techniques, validating the reliability and objectivity of the identified optimal solution.
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