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

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Bibliographic Details
Title: Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm
Authors: Wenyang Jin, Jiaxuan Wang, Junyu Li, Ren Xu, Ming Zhou, Qibai Huang
Source: Applied Sciences ; Volume 15 ; Issue 11 ; Pages: 5950
Publisher Information: Multidisciplinary Digital Publishing Institute
Publication Year: 2025
Collection: MDPI Open Access Publishing
Subject Terms: multi-blade centrifugal fan, prediction model, multi-objective optimization algorithm
Description: 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.
Document Type: text
File Description: application/pdf
Language: English
Relation: Acoustics and Vibrations; https://dx.doi.org/10.3390/app15115950
DOI: 10.3390/app15115950
Availability: https://doi.org/10.3390/app15115950
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.71FA13A7
Database: BASE
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