LAPSE:2023.36902
Published Article
LAPSE:2023.36902
Modeling and Cleaning Performance Optimization of Conical Filter Cartridge of Gas Turbine Intake Filter
Jiangang Yi, Jiayi Duan, Rui Yuan, Wen Bo, Xiaolong Ruan
November 30, 2023
Intake quality is crucial to gas turbines’ operation. The cartridge filter in the gas turbine intake system filters the gas and outputs a highly clean gas into the gas turbine, while pulse cleaning technology ensures the continuous and efficient operation of cartridge filters. While the current cylindrical pleated filter cartridge used in pulse cleaning usually suffers from insufficient upper cleaning, the conical pleated filter cartridge can effectively solve this issue by providing a greater upper cleaning area with significant application prospects. Despite the existing potential, research on conical filter cartridge cleaning performance is limited; thus, this paper aims to investigate the advantages of pulse cleaning using a conical filter cartridge via numerical simulation. Results demonstrate that while the conical filter cartridge enhances the cleaning strength, cleaning uniformity decreases slightly. To address this shortcoming, this paper innovatively proposes a combination of scattering nozzles and conical filter cartridges to explore the impact of the installation position of scattering nozzles on the cleaning. The modeling and cleaning performance analysis in our research illustrates that the optimal cleaning effect can be achieved under specific conditions when the scattering nozzle is installed parallel to the conical filter cartridge’s inlet. The research work in this paper provides a solution for optimizing the pulse cleaning performance of conical filter cartridges.
Keywords
conical filter cartridge, evaluation of ash removal effect, numerical simulation, pulse cleaning
Suggested Citation
Yi J, Duan J, Yuan R, Bo W, Ruan X. Modeling and Cleaning Performance Optimization of Conical Filter Cartridge of Gas Turbine Intake Filter. (2023). LAPSE:2023.36902
Author Affiliations
Yi J: School of Smart Manufacturing, Jianghan University, Wuhan 430056, China [ORCID]
Duan J: School of Smart Manufacturing, Jianghan University, Wuhan 430056, China
Yuan R: Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Sc [ORCID]
Bo W: Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Sc
Ruan X: Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Sc
Journal Name
Processes
Volume
11
Issue
9
First Page
2584
Year
2023
Publication Date
2023-08-29
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11092584, Publication Type: Journal Article
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LAPSE:2023.36902
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doi:10.3390/pr11092584
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Nov 30, 2023
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CC BY 4.0
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[v1] (Original Submission)
Nov 30, 2023
 
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Nov 30, 2023
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Original Submitter
Calvin Tsay
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