Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Turbomachinery Performance and Optimization · Refrigeration and Air Conditioning Technologies · Advanced Multi-Objective Optimization Algorithms
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Valeo Automotive Air Conditioning Hubei Co., Ltd., Jingzhou 434000, China
Funding
Guangxi Innovation Driven Development Special Fund Project · Guangxi Science and Technology Major Special Project
References (30)
Show source-provided references
1. Multi-objective design optimization of a high efficiency and low noise blower unit of a car air-conditioner10.1177/0954407019827131 ↗
2. Effect of Volute-Tongue Clearance on the Aerodynamic Performance and Noise of Multi-Wing Centrifugal Fan for Air Conditioning
3. Reduction of aerodynamic noise of single-inlet centrifugal fan with inclined volute tongue10.1177/0020294020932360 ↗
4. The aerodynamic and noise characteristics of centrifugal fan with partially tilted tongue10.1063/5.0176801 ↗
5. Effects of vortex structure on performance characteristics of a multiblade fan with inclined tongue10.1177/0957650919840964 ↗
6. Effects of bionic volute tongue on aerodynamic performance and noise characteristics of centrifugal fan used in the air-conditioner10.1007/s42235-020-0067-7 ↗
7. A quantitative evaluation method for impeller-volute tongue interaction and application to squirrel cage fan with bionic volute tongue10.1115/1.4042372 ↗
8. Effect of attack angle on flow characteristic of centrifugal fan10.1088/1757-899X/129/1/012059 ↗
9. Ding, H., Chang, T., and Lin, F. (2020). The influence of the blade outlet angle on the flow field and pressure pulsation in a centrifugal fan. Process, 8.10.3390/pr8111422 ↗
10. Blade shape optimization of centrifugal fan for improving performance and reducing aerodynamic noise of clothes dryer
11. Zhang, H., Dong, F., Zhang, X., and Chu, W. (2020, January 22–26). Numerical Investigation of Effect of Blade Surface Slot on the Performance and Flow Field of a Low Speed Centrifugal Fan. Proceedings of the Turbo Expo: Power for Land, Sea, and Air. American Society of Mechanical Engineers, London, UK.10.1115/GT2020-14472 ↗
12. Effect of blade number on the performance of centrifugal fan10.1016/j.matpr.2022.09.185 ↗
13. Centrifugal fan with inclined blades for vacuum cleaner motor10.1016/j.apacoust.2018.05.010 ↗
14. Performance/noise optimization of centrifugal fan using response surface method
15. Zhang, J., Chu, W., Zhang, J., and Lv, Y. (2019). Vibroacoustic optimization study for the volute casing of a centrifugal fan. Appl. Sci., 9.10.3390/app9050859 ↗
16. Development, validation, and application of an optimization scheme for impellers of centrifugal fans using computational fluid dynamics-trained metamodels10.1115/1.4048022 ↗
17. Aerodynamic Optimization of a Centrifugal Fan Using Response Surface Methodology10.4236/ojfd.2019.91007 ↗
18. Meng, F., Wang, L., Ming, W., and Zhang, H. (2023). Aerodynamics optimization of multi-blade centrifugal fan based on extreme learning machine surrogate model and particle swarm optimization algorithm. Metals, 13.10.3390/met13071222 ↗
19. Aerodynamic Design and Performance Optimization of a Centrifugal Fan Impeller
20. Quasi Oppositional Population Based Global Particle Swarm Optimizer With Inertial Weights (QPGPSO-W) for Solving Economic Load Dispatch Problem10.1109/ACCESS.2021.3116066 ↗
21. Beluga whale optimization: A novel nature-inspired metaheuristic algorithm10.1016/j.knosys.2022.109215 ↗
22. Levy flights in metaheuristics optimization algorithms–a review10.1080/08839514.2018.1508807 ↗
23. Chaos-enhanced synchronized bat optimizer10.1016/j.apm.2019.09.029 ↗
24. 2D logistic-modulated-sine-coupling-logistic chaotic map for image encryption10.1109/ACCESS.2019.2893538 ↗
25. Miettinen, K. (1998). Nonlinear Multiobjective Optimization, Springer.10.1007/978-1-4615-5563-6 ↗
26. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints10.1109/TEVC.2013.2281535 ↗
27. Co-Evolutionary NSGA-III with deep reinforcement learning for multi-objective distributed flexible job shop scheduling10.1016/j.cie.2025.110990 ↗
28. Pareto dominance-based algorithms with ranking methods for many-objective optimization10.1109/ACCESS.2017.2716779 ↗
29. Quantile estimation with Latin hypercube sampling10.1287/opre.2017.1637 ↗
30. On the efficacy of conditioned and progressive Latin hypercube sampling in supervised machine learning10.1016/j.apnum.2023.12.016 ↗