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Author:

Ri Pan (Ri Pan.) | Yun Xing (Yun Xing.) | Rui Wang (Rui Wang.) | Jinwei Fan (Jinwei Fan.) | Dongju Chen (Dongju Chen.) | Kun Sun (Kun Sun.) | Peng Gao (Peng Gao.)

Abstract:

Nickel alloys are widely used in aerospace and defense industries due to their excellent high-temperature characteristics. In order to increase fatigue resistance and oxidation corrosion resistance, aerospace curved surface parts always need to be strengthened using laser shock peening technology on five-axis machines. However, it is easy to generate dense laser spots in certain regions during the process, which might lead to an uneven distribution of residual stress on surfaces of the component. To address this issue, the study investigates the problem of excessive spot overlap rate at large curvature positions caused by a mismatch between the surface curvature of curved components and the dynamic performance of equipment, then proposes an optimization algorithm for motion control based on linear interpolation principles. By analyzing the relationship between the feed rate of the program segment and the actual feed rate, the speed of each axis of the machine tool is confirmed and adjusted, and the control flow of the optimization algorithm is established. The feasibility of the algorithm is preliminarily verified by comparing the changing trend of feed rate before and after optimization through simulation. In actual laser shock peening experiments on nickel alloy spherical shell elements, the laser spot distribution on the surface of the component is uniform, and the relative error range between the actual overlap ratio and the theoretical value can be controlled within 5%, demonstrating the correctness of the optimization algorithm. This study can significantly improve the surface machining quality of curved components and have practical applications.

Keyword:

Five-axis linkage Nickel alloy Laser shock peening Motion control optimization

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Source :

The International Journal of Advanced Manufacturing Technology

ISSN: 0268-3768

Year: 2024

Issue: 11-12

Volume: 134

Page: 5321-5335

3 . 4 0 0

JCR@2022

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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