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Applied Sciences
Volume 15
Issue 11
10.3390/app15115950
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm

by
Wenyang Jin
1,
Jiaxuan Wang
2,
Junyu Li
1,3,
Ren Xu
3,
Ming Zhou
4 and
Qibai Huang
1,3,*
1
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
2
Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
3
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
4
Valeo Automotive Air Conditioning Hubei Co., Ltd., Jingzhou 434000, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(11), 5950; https://doi.org/10.3390/app15115950
Submission received: 8 April 2025 / Revised: 15 May 2025 / Accepted: 22 May 2025 / Published: 25 May 2025
(This article belongs to the Special Issue Advanced Vibro-Acoustic Technology: Intelligent Algorithms, Smart Materials and Dynamics)
Versions Notes

Abstract

Multi-blade centrifugal fans are the main workhorse of automotive air conditioners, and the performance of these fans affects riding comfort. This article proposes a prediction model and a multi-objective optimization algorithm and applies them to the optimization design of a multi-blade centrifugal fan. A prediction model between the design variables and optimization objectives, named wPSO-BP, is proposed, and the model is more effective than the BP prediction model in predicting fan performance. A multi-objective optimization algorithm, named NSGA-III-LBWO, is proposed and applied to the optimization design of the fan along with the wPSO-BP prediction model. The results indicate that the aerodynamics and noise performance of the optimized fan were improved, which provides a reference for the optimized design of these types of fans.
Keywords: multi-blade centrifugal fan; prediction model; multi-objective optimization algorithm multi-blade centrifugal fan; prediction model; multi-objective optimization algorithm

Share and Cite

MDPI and ACS Style

Jin, W.; Wang, J.; Li, J.; Xu, R.; Zhou, M.; Huang, Q. Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm. Appl. Sci. 2025, 15, 5950. https://doi.org/10.3390/app15115950

AMA Style

Jin W, Wang J, Li J, Xu R, Zhou M, Huang Q. Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm. Applied Sciences. 2025; 15(11):5950. https://doi.org/10.3390/app15115950

Chicago/Turabian Style

Jin, Wenyang, Jiaxuan Wang, Junyu Li, Ren Xu, Ming Zhou, and Qibai Huang. 2025. "Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm" Applied Sciences 15, no. 11: 5950. https://doi.org/10.3390/app15115950

APA Style

Jin, W., Wang, J., Li, J., Xu, R., Zhou, M., & Huang, Q. (2025). Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm. Applied Sciences, 15(11), 5950. https://doi.org/10.3390/app15115950

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