Study on Cutting Temperature-vibration Correlation of Titanium Alloys and Machining Optimization

LI Songyuan; LI Shuncai; LIU Zhi; HU Yuting

doi:10.13433/j.cnki.1003-8728.20230021

Volume 43 Issue 7

Jul. 2024

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Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2024 > 43(7): 1222-1229

LI Songyuan, LI Shuncai, LIU Zhi, HU Yuting. Study on Cutting Temperature-vibration Correlation of Titanium Alloys and Machining Optimization[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(7): 1222-1229. doi: 10.13433/j.cnki.1003-8728.20230021

Citation:

LI Songyuan, LI Shuncai, LIU Zhi, HU Yuting. Study on Cutting Temperature-vibration Correlation of Titanium Alloys and Machining Optimization[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(7): 1222-1229. doi: 10.13433/j.cnki.1003-8728.20230021

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Study on Cutting Temperature-vibration Correlation of Titanium Alloys and Machining Optimization

doi: 10.13433/j.cnki.1003-8728.20230021

LI Songyuan^1
,,
LI Shuncai^{1, 2
,
,},
LIU Zhi²,
HU Yuting¹

1.
School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
2.
JSNU-SPBPU Institute of Engineering, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China

Received Date: 2022-04-11
Publish Date: 2024-07-25

Abstract

Abstract

As a "21st century strategic metal", titanium alloy is widely used in the aviation field, and its processing quality is very important. Therefore, it is of great significance to optimize the machining of titanium alloys. In this paper, a synchronous measurement system for cutting temperature and vibration is built. The temperature and vibration signals near the tip of the turning tool are collected by an infrared thermal imager and a three-way acceleration sensor. A multi-feature fusion optimization model based on the cutting temperature and vibration is established, and the particle swarm optimization gray wolf algorithm is used to solve the multi-feature fusion optimization model to obtain the optimal cutting parameters. The study shows that within the range of cutting parameters designed by the experiment, the optimal solution of cutting parameters is 753.98 m/s of cutting speed, 30 mm/min of feed rate, 0.4 mm of cutting depth, and provides a theoretical basis for optimizing the machining quality of titanium alloys.
- titanium alloy,
- cutting temperature,
- cutting vibration,
- gray relative correlation,
- multi-feature fusion optimization model,
- particle swarm optimization gray wolf algorithm

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References(22)

References

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