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Volume 10
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10.3390/pr10040753
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Article

Multi-Objective Optimization for the Radial Bending and Twisting Law of Axial Fan Blades

by
Yanyan Ding
1,
Jun Wang
1,*,
Boyan Jiang
1,
Zhiang Li
1,
Qianhao Xiao
1,
Lanyong Wu
2 and
Bochao Xie
2
1
School of Energy and Power Engineering, Huazhong University of Science and Technology, Luoyu Road No.1037, Wuhan 430074, China
2
Guang Dong Nedfon Air System Co., Ltd., Taicheng Road No.15, Taishan 529200, China
*
Author to whom correspondence should be addressed.
Processes 2022, 10(4), 753; https://doi.org/10.3390/pr10040753
Submission received: 13 March 2022 / Revised: 7 April 2022 / Accepted: 8 April 2022 / Published: 13 April 2022
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Abstract

The performance of low-pressure axial flow fans is directly affected by the three-dimensional bending and twisting of the blades. A new blade design method is adopted in this work, where the radial distribution of blade angle and blade bending angle is composed of standard-form rational quadratic Bézier curves. Dendrite Net is then trained to predict the pneumatic performance of the fan. A non dominated sorting genetic algorithm is employed to solve the global optimization problem of the total pressure coefficient and efficiency. The simulation results show that the optimal blade load distribution along the radial direction becomes uniform, and the suction surface separation vortex and passage vortex are restrained. On the other hand, the tip leakage vortex is enhanced and moves toward the blade leading edge. According to the experimental results, the maximum efficiency increases by 5.44%, and the maximum total pressure coefficient increases by 2.47% after optimization.
Keywords: axial fan; blade modeling; bending and twisting; dendrite net; multi-objective optimization; computational fluid dynamics (CFD); efficiency improvement axial fan; blade modeling; bending and twisting; dendrite net; multi-objective optimization; computational fluid dynamics (CFD); efficiency improvement

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MDPI and ACS Style

Ding, Y.; Wang, J.; Jiang, B.; Li, Z.; Xiao, Q.; Wu, L.; Xie, B. Multi-Objective Optimization for the Radial Bending and Twisting Law of Axial Fan Blades. Processes 2022, 10, 753. https://doi.org/10.3390/pr10040753

AMA Style

Ding Y, Wang J, Jiang B, Li Z, Xiao Q, Wu L, Xie B. Multi-Objective Optimization for the Radial Bending and Twisting Law of Axial Fan Blades. Processes. 2022; 10(4):753. https://doi.org/10.3390/pr10040753

Chicago/Turabian Style

Ding, Yanyan, Jun Wang, Boyan Jiang, Zhiang Li, Qianhao Xiao, Lanyong Wu, and Bochao Xie. 2022. "Multi-Objective Optimization for the Radial Bending and Twisting Law of Axial Fan Blades" Processes 10, no. 4: 753. https://doi.org/10.3390/pr10040753

APA Style

Ding, Y., Wang, J., Jiang, B., Li, Z., Xiao, Q., Wu, L., & Xie, B. (2022). Multi-Objective Optimization for the Radial Bending and Twisting Law of Axial Fan Blades. Processes, 10(4), 753. https://doi.org/10.3390/pr10040753

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