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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of applied fluid mechanics Ročník 19; číslo 1; s. 2852 - 2873
Hlavní autoři:	Lei, C., Zhang, J., Li, F., Wang, Z., Yang, H., Zhang, W., Wei, Y.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Isfahan Isfahan University of Technology 01.11.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!