Research on 3D Design of High-Load Counter-Rotating Compressor Based on Aerodynamic Optimization and CFD Coupling Method

Tingsong Yan, Huanlong Chen, Jiwei Fang and Peigang Yan
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Tingsong Yan: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Huanlong Chen: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Jiwei Fang: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Peigang Yan: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China

Energies, 2022, vol. 15, issue 13, 1-18

Abstract: In view of the flow instability problem caused by the strong shock wave and secondary flow in the channel of the high-load counter-rotating compressor, this paper adopts the design method of coupling aerodynamic optimization technology and CFD and establishes a three-dimensional aerodynamic optimization design platform for the blade channel based on an artificial neural network and genetic algorithm. The aerodynamic optimization design and internal flow-field diagnosis of a high-load counter-rotating compressor with a 1/2 + 1 aerodynamic configuration are carried out. The research indicates that the optimized blade channel can drive and adjust the flow better, and the expected supercharging purpose and efficient energy conversion process are achieved by controlling the intensity of the shock wave and secondary flow in the channel. The total pressure ratio at the design point of the compressor exceeds 2.9, the adiabatic efficiency reaches 87%, and the aerodynamic performance is excellent at the off-design condition, which is on the advanced design level of the same type of axial compressor. The established aerodynamic optimization design platform has important practical engineering applications for the development of high thrust-to-weight ratio aero-engine compression systems.

Keywords: counter-rotating compressor; artificial neural network; optimized design; numerical simulation; flow field diagnosis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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