Multi-objective Optimization of Single-stage High-flow Centrifugal Blower Based on Sparrow Search Algorithm-back Propagation Neural Network and Non-dominated Sorting Genetic Algorithm -

In this paper, the aerodynamic performance of the single-stage high-flow centrifugal blower is enhanced and optimized through multi-objective optimization by modifying the geometry parameters of the impeller. Seven design variables, which define the angle distribution of the impeller, are employed t...

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Bibliographic Details
Published in:	Journal of applied fluid mechanics Vol. 19; no. 1; pp. 2852 - 2873
Main Authors:	Lei, C., Zhang, J., Li, F., Wang, Z., Yang, H., Zhang, W., Wei, Y.
Format:	Journal Article
Language:	English
Published:	Isfahan Isfahan University of Technology 01.11.2025
Subjects:	Algorithms Back propagation Back propagation networks Blowers Computational fluid dynamics Diffusers Efficiency Flow separation Fluid dynamics Genetic algorithms High flow Hydrodynamics Hypercubes Impellers Latin hypercube sampling Mach number multi-objective optimization Multiple objective analysis Neural networks non-dominated sorting genetic algorithm - Optimization Optimization techniques Parameter modification Pressure ratio Search algorithms single-stage centrifugal blower Sorting algorithms sparrow search algorithm-back propagation neural network
ISSN:	1735-3572, 1735-3645
Online Access:	Get full text
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