Experimental research on water washing process of gas turbine blades

Tao Chen; Xingyun Jia; Xiangkun Liu; Yao Tong; Hai Zhang; Lidong He

doi:10.1117/12.3026179

1 April 2024 Experimental research on water washing process of gas turbine blades

Tao Chen, Xingyun Jia, Xiangkun Liu, Yao Tong, Hai Zhang, Lidong He

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308235 (2024) https://doi.org/10.1117/12.3026179
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

As the core component of the compressor, the gas turbine blade is prone to oil accumulation, salt accumulation and scale under harsh working conditions, resulting in blade wear, bending and other faults. In order to ensure the normal operation of the gas turbine, regular daily cleaning is essential. In this paper, aiming at the problem of abnormal bending of the top of the second stage rotor blades of the compressor, starting from the water washing process and water washing effect of the compressor blade, the dirty blade in line with the actual working conditions is constructed, and the single blade offline water washing test bench is designed and built. After determining the ratio of the washing medium, the surface of the blade is washed by the nozzle. Finally, the quantitative evaluation of the washing effect shows that high temperature and detergent can significantly improve the off-line washing effect of gas turbine blades, and the conical jet nozzle has more advantages in the process of off-line washing.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tao Chen, Xingyun Jia, Xiangkun Liu, Yao Tong, Hai Zhang, and Lidong He "Experimental research on water washing process of gas turbine blades", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308235 (1 April 2024); https://doi.org/10.1117/12.3026179

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