Experimental and numerical study on a three-stage high-load axial compressor with 3D blade design

Hangwen Deng, Lei Luo, Han Yan, Xun Zhou, Wei Du and Qiao Luo

Energy, 2025, vol. 316, issue C

Abstract: This paper presents the experimental and numerical investigation on the high-load design of a three-stage axial compressor. A 3D blade design method is applied to the cantilevered stators of the high-load compressor. The datum compressor and the high-load compressor (called 3D-HLC) are tested separately to verify the reliability of the numerical method and the superiority of the 3D blade design. The overall performance of the datum compressor and the 3D-HLC are compared. Based on the numerical results, The flow field of the rear two-stage stator at the design point is analyzed to explore the control mechanism of the 3D blade design. Results show that the load-load blades have a higher diffusion factor due to an increased camber angle. The merging of the end wall boundary layer and the corner stall significantly affects the 3D blade design's ability to reduce loss. The load in the stator end region is redistributed by the 3D blade design, reducing the intensity of the corner stall. Compared to the datum compressor, the isentropic efficiency and total pressure ratio of the 3D-HLC at the design point are improved by 1.38 % and 32.09 % respectively.

Keywords: Three-stage axial flow compressor; High-load design; Experimental method; Numerical simulation; 3D blade design; Corner stall (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225000416
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:316:y:2025:i:c:s0360544225000416

DOI: 10.1016/j.energy.2025.134399

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().