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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of applied fluid mechanics Jg. 19; H. 1; S. 2852 - 2873
Hauptverfasser:	Lei, C., Zhang, J., Li, F., Wang, Z., Yang, H., Zhang, W., Wei, Y.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Isfahan Isfahan University of Technology 01.11.2025
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!