What question did this study set out to answer?

To optimize critical machining parameters during CNC face milling of Ti-6Al-4V titanium alloy to concurrently minimize surface roughness and maximize material removal rate.

August 14, 2026Open Access

Multi-Objective Optimization of Machining Parameters in CNC Face Milling of Ti-6Al-4V Titanium Alloy Using Taguchi-Grey Relational Analysis

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To optimize critical machining parameters during CNC face milling of Ti-6Al-4V titanium alloy to concurrently minimize surface roughness and maximize material removal rate.
Conducted face milling on Ti-6Al-4V titanium alloy using uncoated carbide inserts under flood cooling conditions.
Tested four parameters (cutting speed, feed rate, axial depth of cut, and radial depth of cut) across three levels using a Taguchi L27 orthogonal array.
Employed Grey Relational Analysis (GRA) combined with Analysis of Variance (ANOVA) for multi-objective optimization.
Achieved a 32.4% improvement in the overall Grey Relational Grade using the optimal machining parameter combination.
Identified feed rate as the most statistically significant factor influencing surface roughness.

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Implication

Experimental study demonstrates simultaneous optimization of surface roughness and material removal rate in Ti-6Al-4V alloy milling, suggesting improved manufacturing efficiency.

Cite This Study

Vanduskar et al. (2026) studied this question.

synapsesocial.com/papers/6a7ec7aab70b84ec8b9142c9 https://doi.org/10.5281/zenodo.21903749

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Implication

Experimental study demonstrates simultaneous optimization of surface roughness and material removal rate in Ti-6Al-4V alloy milling, suggesting improved manufacturing efficiency.

Multi-Objective Optimization of Machining Parameters in CNC Face Milling of Ti-6Al-4V Titanium Alloy Using Taguchi-Grey Relational Analysis

Key Points

Discussion

Implication

Cite This Study

Multi-Objective Optimization of Machining Parameters in CNC Face Milling of Ti-6Al-4V Titanium Alloy Using Taguchi-Grey Relational Analysis

Key Points

Discussion

Implication

Cite This Study

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