Performance and Optimization of a Centrifugal Fan Featuring Bio-inspired Microstructured Blades

LI Luonan, XU Jianmin, XU Fuliang, WU Song, KANG Xuanming

Surface Technology ›› 2026, Vol. 55 ›› Issue (5) : 246-259.

PDF(12552 KB)
PDF(12552 KB)
Surface Technology ›› 2026, Vol. 55 ›› Issue (5) : 246-259. DOI: 10.16490/j.cnki.issn.1001-3660.2026.05.020
Friction, Wear and Lubrication

Performance and Optimization of a Centrifugal Fan Featuring Bio-inspired Microstructured Blades

  • LI Luonan1, XU Jianmin1,*, XU Fuliang2, WU Song1, KANG Xuanming1
Author information +
History +

Abstract

To significantly enhance the comprehensive performance of large industrial centrifugal fans, a high-precision three-dimensional computational fluid dynamics (CFD) simulation model was firstly established for a centrifugal fan and aerodynamic performance tests (covering key indicators such as flow rate-static pressure and flow rate-efficiency characteristic curves) were rigorously conducted. The test data showed a high degree of agreement with the numerical simulation results, fully validating the accuracy of the established CFD model. Then, bionic principles were innovatively introduced to design and propose a bionic micro-structure scheme for centrifugal fan blade surfaces inspired by the highly efficient drag reduction mechanism of the dung beetle's back. Building on this, a systematic parametric study was conducted: the effect patterns and mechanisms of three key geometric parameters, the arrangement position of the bionic micro-structures on the blade surface, the diameter of the microstructures, and their spacing, on the overall aerodynamic performance (static pressure and efficiency) of the fan, as well as the complex internal flow field, were thoroughly investigated. The microstructures could effectively restructure the flow field distribution on the blade surface. The core mechanism lied in significantly enhancing the intensity of the local low-pressure zone near the blade outlet, which improved airflow diffusion efficiency. Simultaneously, they noticeably weakened the large-scale ribbon-like vortex structures near the volute tongue and the discrete vortex structures that induced turbulent dissipation within the flow passage. The synergistic optimization of these flow field structures effectively increased the flow velocity in the main stream region and enhanced the overall flow capacity, while significantly reducing energy dissipation losses. The position, diameter and spacing of the bionic microstructures had a substantial impact on the performance of the centrifugal fan, with the position having the greatest effect. The optimal arrangement was found to be at the mid-section of the blade flow passage. When the diameter and spacing of the bionic microstructures were moderate, they effectively suppressed back-flow, expand the high-velocity main flow zone within the passage, and reduced the velocity gradient, thereby significantly enhancing the flow performance of the centrifugal fan. Excessively small or large diameters or spacing led to a decline in effectiveness. Through systematic optimization based on a Response Surface Model (RSM) and a Multi-Island Genetic Algorithm (MIGA), the best parameter combination for the bionic microstructured blades was determined as: l= 147.62 mm, D= 4.67 mm and d=10.47 mm. The optimized bionic fan achieved an increase of 82.42 Pa in static pressure and a 3.11% improvement in static pressure efficiency at the rated operating condition. This study not only successfully verifies the feasibility of applying bionic microstructures to centrifugal fan blades to enhance performance but, more importantly, deeply reveals the intrinsic mechanism by which they improve the comprehensive performance of fans by restructuring the surface flow field, suppressing vortex development, and reducing energy dissipation. The established systematic research methodology of "simulation validation-bionic design-parametric study-model optimization" provides an innovative design approach and reliable theoretical foundation for the engineering application of bionic microstructures on the blade surfaces of various fluid machinery, such as fans, pumps and compressors.

Key words

industrial centrifugal fan / performance test / bionic microstructure / multi-island genetic algorithm / structural optimization

Cite this article

Download Citations
LI Luonan, XU Jianmin, XU Fuliang, WU Song, KANG Xuanming. Performance and Optimization of a Centrifugal Fan Featuring Bio-inspired Microstructured Blades[J]. Surface Technology. 2026, 55(5): 246-259

References

[1] 李大江. 国内主要行业风机能耗现状以及节能措施的分析研究[J]. 风机技术, 2019, 61(S1): 1-6.
LI D J.Analysis and Research on Energy Consumption Status and Energy-Saving Measures of Fans in Major Industries in China[J]. Chinese Journal of Turbomachinery, 2019, 61(S1): 1-6.
[2] 丁涛, 邱绵靖, 刘志伟, 等. 农用轴流风机集流器参数数值模拟优化研究[J]. 农业机械学报, 2022, 53(9): 342-353.
DING T, QIU M J, LIU Z W, et al.Numerical Simulation on Parameter Optimization of Agricultural Axial Flow Fan Collector[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(9): 342-353.
[3] ZHOU H, WANG W, JIANG B Y, et al.Analysis of Internal Flow Characteristics of Squirrel-Cage Fan with Multi-Directional Air Intake Impeller[J]. International Journal of Heat and Fluid Flow, 2024, 105: 109267.
[4] BENCHIKH LE HOCINE A E, PONCET S, FELLOUAH H. CFD Modeling and Optimization by Metamodels of a Squirrel Cage Fan Using OpenFoam and Dakota: Ventilation Applications[J]. Building and Environment, 2021, 205: 108145.
[5] 雷健, 秦国良, 崔琴, 等. 采用变弦长叶片设计的多翼离心风机叶轮改进与优化[J]. 西安交通大学学报, 2023, 57(8): 11-21.
LEI J, QIN G L, CUI Q, et al.Improvement and Optimization of Multi-Blade Centrifugal Fan Impeller Based on Variable Chord Length Blade Design[J]. Journal of Xi'an Jiaotong University, 2023, 57(8): 11-21.
[6] 阮承治, 陶齐齐, 陈奕玮, 等. 武夷岩茶摇青机离心风机优化设计与试验[J]. 农业机械学报, 2024, 55(12): 480-490.
RUAN C Z, TAO Q Q, CHEN Y W, et al.Optimization Design and Experimental Validation of Centrifugal Fan for Wuyi Rock Tea Shaking Machine[J]. Transactions of the Chinese Society for Agricultural Machinery, 2024, 55(12): 480-490.
[7] MADHWESH N, VASUDEVA KARANTH K, YAGNESH SHARMA N.Experimental Investigations and Empirical Relationship on the Influence of Innovative Hub Geometry in a Centrifugal Fan for Performance Augmentation[J]. International Journal of Mechanical and Materials Engineering, 2021, 16(1): 5.
[8] 于盛睿, 季平, 戴哲敏, 等. 陶瓷练泥机机头非光滑凹坑的结构仿生及其减黏降阻[J]. 工程科学与技术, 2024, 56(5): 247-257.
YU S R, JI P, DAI Z M, et al.Structural Biomimetics of Non-Smooth Pits for Ceramic Extruders and Its Reducing Adhesion and Resistance[J]. Advanced Engineering Sciences, 2024, 56(5): 247-257.
[9] 黄明吉, 刘圣艳, 乔小溪, 等. 离心泵仿生微结构叶片减阻特性的仿真研究[J]. 表面技术, 2023, 52(2): 196-205.
HUANG M J, LIU S Y, QIAO X X, et al.Simulation Study on the Drag Reduction of Centrifugal Pump with Bionic Micro-Structured Blade[J]. Surface Technology, 2023, 52(2): 196-205.
[10] 王加浩, 乔洋, 田晨晔, 等. 仿鲤科鱼C型启动多翼离心风机叶片性能研究[J]. 工程热物理学报, 2022, 43(9): 2363-2373.
WANG J H, QIAO Y, TIAN C Y, et al.A Study on Aerodynamic Performance of Multi-Blade Centrifugal Fan by Using the Bionic Blade Inspired by the Cyprinidae C-Start[J]. Journal of Engineering Thermophysics, 2022, 43(9): 2363-2373.
[11] WANG J H, LIU X M, TIAN C Y, et al.Aerodynamic Performance Improvement and Noise Control for the Multi-Blade Centrifugal Fan by Using Bio-Inspired Blades[J]. Energy, 2023, 263: 125829.
[12] 王梦豪, 吴立明, 刘小民, 等. 采用仿鸮翼叶片降低空调用离心风机气动噪声的研究[J]. 西安交通大学学报, 2018, 52(6): 55-61.
WANG M H, WU L M, LIU X M, et al.A Study on Noise Reduction of Centrifugal Fan in Air Conditioner by Using the Bionic Blade Inspired by the Owl Wing[J]. Journal of Xi'an Jiaotong University, 2018, 52(6): 55-61.
[13] WU F, JIANG W, YUE Y N, et al.Experimental and Numerical Investigation on Aerodynamic Performance of Biomimetic Blade in Steam Turbine[J]. International Journal of Thermal Sciences, 2023, 192: 108447.
[14] OTTERSTEN M, YAO H D, DAVIDSON L.Inlet Gap Effect on Aerodynamics and Tonal Noise Generation of a Voluteless Centrifugal Fan[J]. Journal of Sound and Vibration, 2022, 540: 117304.
[15] HU D H, DONG W J, GAO P, et al.Noise Reduction Optimization for Numerous Radiator Fans for Fuel Cell Vehicle Considering Thermal-Fluid-Acoustic Synergy[J]. International Journal of Heat and Mass Transfer, 2024, 223: 125231.
[16] GHORBANI A, TABATABAEI S M, NASIRI H, et al.A Novel CFD Framework for Frost-Free Domestic Refrigerators Using Fan Performance Curve and Radiator Model[J]. Results in Engineering, 2025, 25: 103947.
[17] JAFARI M, AFSHIN H, FARHANIEH B, et al.Numerical Investigation of Geometric Parameter Effects on the Aerodynamic Performance of a Bladeless Fan[J]. Alexandria Engineering Journal, 2016, 55(1): 223-233.
[18] XU W, CHEN G L, SHI H J, et al.Research on Operational Characteristics of Coal Power Centrifugal Fans at Off-Design Working Conditions Based on Flap-Angle Adjustment[J]. Energy, 2023, 284: 129363.
[19] 王镇, 李震, 吴兰勇, 等. 基于敏感性分析降维的多翼离心风机叶轮优化设计[J]. 工程热物理学报, 2023, 44(2): 397-405.
WANG Z, LI Z, WU L Y, et al.Optimal Design of Squirrel-Cage Fan Impeller Based on Sensitivity Analysis and Dimension Reduction[J]. Journal of Engineering Thermophysics, 2023, 44(2): 397-405.
[20] 崔文豪, 冯建军, 朱国俊, 等. 基于叶片载荷分布的离心风机多目标优化设计[J]. 工程热物理学报, 2024, 45(7): 1949-1959.
CUI W H, FENG J J, ZHU G J, et al.Multi-Objective Optimization Design of a Centrifugal Fan Based on the Blade Loading Distribution[J]. Journal of Engineering Thermophysics, 2024, 45(7): 1949-1959.
[21] 屈小章, 张加贝, 翟方志. 高速列车散热离心风机性能灵敏性分析及优化[J]. 中国机械工程, 2023, 34(20): 2504-2512.
QU X Z, ZHANG J B, ZHAI F Z.Sensitivity Analysis and Optimization of High Speed Train Cooling Centrifugal Fan Performance[J]. China Mechanical Engineering, 2023, 34(20): 2504-2512.
[22] YUN J Q, LIU B C.Tribological Behavior of Textured Polycrystalline Diamond Compact for Thrust Bearings Using the Surface Morphology of Dung Beetles as an Inspiration[J]. Tribology International, 2024, 199: 109936.
[23] YOU C T, ZHAO G L, CHU X Y, et al.Design, Preparation and Cutting Performance of Bionic Cutting Tools Based on Head Microstructures of Dung Beetle[J]. Journal of Manufacturing Processes, 2020, 58: 129-135.
[24] ZHOU S Q, XU B, LU L F, et al.Multi-Objective Optimization of Rear Guide Vane of Diagonal Flow Fan Based on Robustness Design Theory[J]. Applied Sciences, 2022, 12(19): 9858.
[25] KONG C, WANG M, JIN T, et al.The Blade Shape Optimization of a Low-Pressure Axial Fan Using the Surrogate-Based Multi-Objective Optimization Method[J]. Journal of Mechanical Science and Technology, 2023, 37(1): 179-189.

Funding

National Key Research and Development Program (2023YFB3406500)
PDF(12552 KB)

Accesses

Citation

Detail

Sections
Recommended

/