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  4. Vol 10, Issue 1, 2025

Research on Optimization of Cutting Force of TC4 Titanium Alloy Based on Support Vector Machine

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DOI: 10.23977/jemm.2025.100109 | Downloads: 17 | Views: 443

Author(s)

Yun Ling 1, Rui Tang 1

Affiliation(s)

1 Engineering Techniques Training Center, Civil Aviation Flight University of China, Chengdu, Sichuan, China

Corresponding Author

Rui Tang

ABSTRACT

Titanium alloy TC4 has excellent mechanical properties and corrosion resistance, and is widely used in aerospace, medical devices and other fields. However, its difficult machinability leads to large cutting forces and severe tool wear. Its inherent low thermal conductivity, low elastic modulus and work hardening characteristics easily cause problems such as cutting overheating and poor surface machining quality during the cutting process, affecting processing efficiency and quality. Based on support vector machine (SVM) technology and through orthogonal experimental design, this paper selects appropriate design parameter sample points to design a prediction model, builds a cutting force prediction model for TC4 titanium alloy, and optimizes the cutting parameters. The research results show that the SVM model can effectively predict cutting force, and the optimized cutting parameters significantly reduce cutting force and improve processing efficiency.

KEYWORDS

Titanium Alloy; High-Speed Milling; Support Vector Machine; Orthogonal Experiment

CITE THIS PAPER

Yun Ling, Rui Tang, Research on Optimization of Cutting Force of TC4 Titanium Alloy Based on Support Vector Machine. Journal of Engineering Mechanics and Machinery (2025) Vol. 10: 79-85. DOI: http://dx.doi.org/10.23977/jemm.2025.100109.

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