Beilstein Arch. 2024, 20243. https://doi.org/10.3762/bxiv.2024.3.v1
Published 19 Jan 2024
For enhance the aerodynamic performance of aero engine blades, the parameters and drag-reduction mechanism of micro-texture to reduce blade surface flow loss are investigated in this study. First, a simplification simulation method is proposed to reduce the calculation cost and determine the aerodynamic parameters of the blade model through the comparison of flow field characteristics and parameters of the blade simulation result. Secondly, the placement position and geometrical parameters of micro-texture with lower energy loss are determined by CFD (Computational Fluid Dynamics) simulation for the established micro-texture on the blade surface and the drag reduction mechanism is analyzed based on the simulation result. The triangular rib with a depth of 0.2mm and width of 0.3mm has the best drag reduction performance, and this micro-texture has an energy loss coefficient reduction of 1.45% and a drag reduction of 1.31% on a single blade. Finally, the blades with the optimal micro-texture parameters are tested in the intermittent wind tunnel. The experimental results show that the micro-texture decreases the energy loss by 3.7% of a single blade under the working conditions of 57° attack angle and 136.24m/s, which is pleasing for the drag reduction performance of the integral impeller with 45 blades.
Keywords: micro-texture; CFD simulation; simplification method; drag reduction; blade
When a peer-reviewed version of this preprint is available, this information will be updated in the information box above. If no peer-reviewed version is available, please cite this preprint using the following information:
Zhu, Q.; Zhang, C.; Yu, F.; Xu, Y. Beilstein Arch. 2024, 20243. doi:10.3762/bxiv.2024.3.v1
Citation data can be downloaded as file using the "Download" button or used for copy/paste from the text window below.
Citation data in RIS format can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Zotero.
© 2024 Zhu et al.; licensee Beilstein-Institut.
This is an open access work licensed under the terms of the Beilstein-Institut Open Access License Agreement (https://www.beilstein-archives.org/xiv/terms), which is identical to the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). The reuse of material under this license requires that the author(s), source and license are credited. Third-party material in this work could be subject to other licenses (typically indicated in the credit line), and in this case, users are required to obtain permission from the license holder to reuse the material.