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August 14, 2025MicromachinesOpen Access

Multi-Objective Optimization of Surface Roughness, Cutting Force, and Temperature in Ultrasonic-Vibration-Assisted Milling of Titanium Alloy

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Authors

GHGaofeng HuYLYanjie LuSZShengming Zhou

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Overview

Optimization improves surface roughness and reduces cutting forces in titanium alloy milling, highlighting efficient machining processes.

Key Points

  • The optimization process significantly improved surface roughness, reducing it to 0.268 μm, while optimizing cutting parameters for titanium alloys.
  • An orthogonal experiment revealed optimized conditions with cutting force parameters at FX 5.2 N, FY 7.9 N, and FZ 6.4 N during ultrasonic milling.
  • Utilizing the grey relational analysis method allows transforming complex multi-objective optimization into a more manageable single-objective problem.
  • This approach can lead to enhanced machining quality and lower cutting temperatures, thus improving the longevity of tools and components.

Cite This Study

Hu et al. (2025) studied this question.

synapsesocial.com/papers/68af509bad7bf08b1ead85eehttps://doi.org/10.3390/mi16080936
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