Analysis of the Surface Friction and Wear Properties of High Temperature γ-TiAl Alloy in Ultrasonic-Assisted Milling

γ-TiAl alloy, with its excellent creep resistance, oxidation resistance, and corrosion resistance, is regarded as one of the most promising materials in high - end fields such as aerospace. In aerospace and other fields, the requirements for the surface friction and wear performance of components are extremely stringent. However, the surface properties after traditional processing have limitations. Therefore, it is of great significance to seek more excellent processing methods to improve the friction and wear characteristics of the material. In this paper, ultrasonic - assisted high - temperature milling was carried out on the γ-TiAl cladding layer prepared by the laser directed energy deposition technology and the γ-TiAl castings, and the friction and wear performance of the machined surfaces was analyzed. The experimental results indicate that, compared with castings, the cladding layer has better surface wear resistance due to its smaller internal structure size. In comparison with the surface of the cladding layer processed by conventional machining, the friction coefficient and wear cross-sectional area of the surface processed by ultrasonic machining are reduced by 4.1% and 57.27% respectively, demonstrating that the surface processed by ultrasonic - assisted machining exhibits more excellent friction and wear performance.

Authors

Institutions

Publication Details

Journal
International Journal of Mechanical and Electrical Engineering
Published
2025-03-27
DOI
https://doi.org/10.62051/ijmee.v5n2.01
Primary Topic
Intermetallics and Advanced Alloy Properties
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the Surface Friction and Wear Properties of High Temperature γ-TiAl Alloy in Ultrasonic-Assisted Milling

Guofu Gao, Chenyang Wei, Guangmiao Wang, Yunfei Xiang
4 links
International Journal of Mechanical and Electrical Engineering
Intermetallics and Advanced Alloy Properties
article

Analysis of the Surface Friction and Wear Properties of High Temperature γ-TiAl Alloy in Ultrasonic-Assisted Milling

Guofu Gao, Chenyang Wei, Guangmiao Wang, Yunfei Xiang
article en

Abstract

γ-TiAl alloy, with its excellent creep resistance, oxidation resistance, and corrosion resistance, is regarded as one of the most promising materials in high - end fields such as aerospace. In aerospace and other fields, the requirements for the surface friction and wear performance of components are extremely stringent. However, the surface properties after traditional processing have limitations. Therefore, it is of great significance to seek more excellent processing methods to improve the friction and wear characteristics of the material. In this paper, ultrasonic - assisted high - temperature milling was carried out on the γ-TiAl cladding layer prepared by the laser directed energy deposition technology and the γ-TiAl castings, and the friction and wear performance of the machined surfaces was analyzed. The experimental results indicate that, compared with castings, the cladding layer has better surface wear resistance due to its smaller internal structure size. In comparison with the surface of the cladding layer processed by conventional machining, the friction coefficient and wear cross-sectional area of the surface processed by ultrasonic machining are reduced by 4.1% and 57.27% respectively, demonstrating that the surface processed by ultrasonic - assisted machining exhibits more excellent friction and wear performance.

International Journal of Mechanical and Electrical EngineeringVol. 5(2)
Henan Polytechnic University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Intermetallics and Advanced Alloy Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.