LAPSE:2023.1595
Published Article
LAPSE:2023.1595
An Optimization of a Turbocharger Blade Based on Fluid−Structure Interaction
Minghai Li, Yuanzhe Li, Feng Jiang, Jie Hu
February 21, 2023
Abstract
The structural fracture of the compressor blade is the main cause of fatigue failure. The novelty of this paper is the creative application of bent swept-back modeling to the blade of the turbocharger impeller. This paper is based on a compressor impeller satisfying the k-ε turbulence model. A simulation model was established in ANSYS software, the fluid−structure interaction was calculated in the three models before and after improvement, and the results were compared and analyzed. The optimized blade could improve the blade structure, reduce stress and deformation, and improve the pressurization ratio. In this paper, the optimization scheme of different parameters was discussed in line with the optimal solution. Based on the combination of fuzzy and grey correlation theory, it was concluded that the correlation between pressure and total deformation was higher than that of equivalent stress, and these two values reached 0.8596 and 0.8001, respectively. The results showed that the pressure and total deformation were significantly related to the flow rate. It provides a feasible scheme for further improvement of the supercharger compressor.
Keywords
ANSYS, blade optimization, fluid-structure interaction, gray correlation analysis, turbocharger
Suggested Citation
Li M, Li Y, Jiang F, Hu J. An Optimization of a Turbocharger Blade Based on Fluid−Structure Interaction. (2023). LAPSE:2023.1595
Author Affiliations
Li M: School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China; Institute of Internal Combustion Engine, Dalian Jiaotong University, Dalian 116028, China
Li Y: School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China; Institute of Internal Combustion Engine, Dalian Jiaotong University, Dalian 116028, China
Jiang F: School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China; Institute of Internal Combustion Engine, Dalian Jiaotong University, Dalian 116028, China; Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi
Hu J: Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology, Liuzhou 545006, China
Journal Name
Processes
Volume
10
Issue
8
First Page
1569
Year
2022
Publication Date
2022-08-10
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10081569, Publication Type: Journal Article
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LAPSE:2023.1595
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https://doi.org/10.3390/pr10081569
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Feb 21, 2023
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