An optimum design procedure for an aerodynamic radial diffuser with incompressible flow at different Reynolds numbers

Abstract In this article a systematic procedure aimed at achieving the best compromise between flow deflection, static pressure recovery, and total pressure loss is proposed for aerodynamic diffusers with incompressible flow. Such a result was accomplished by using a neural network to generalize the...

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Veröffentlicht in:Proceedings of the Institution of Mechanical Engineers. Part A, Journal of power and energy Jg. 224; H. 1; S. 69 - 84
Hauptverfasser: Rossetti, A, Ardizzon, G, Pavesi, G, Cavazzini, G
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London, England SAGE Publications 01.01.2010
SAGE PUBLICATIONS, INC
Schlagworte:
Aerodynamics
Algorithms
Charts
Compressors
Computational fluid dynamics
Design analysis
Design engineering
Diffusers
Employment
Flow deflection
Fluid dynamics
Fluid flow
Fuzzy sets
Incompressible flow
Mechanical engineering
Multiple objective analysis
Neural networks
Optimization
Optimization algorithms
Pressure loss
Pressure recovery
Recovery
Reynolds number
Static pressure
vaned diffuser
swarm particle algorithm
diffuser performance
diffuser
radial cascade
ISSN:0957-6509, 2041-2967
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Zusammenfassung:Abstract In this article a systematic procedure aimed at achieving the best compromise between flow deflection, static pressure recovery, and total pressure loss is proposed for aerodynamic diffusers with incompressible flow. Such a result was accomplished by using a neural network to generalize the radial diffusers performance data obtained by numerical analyses, a multi-objective approach based on the employment of fuzzy sets, and a swarm particle algorithm to find a good compromise between flow deflection, static pressure recovery, and total pressure loss. Useful design tools, obtained by collecting the results in proper design charts, are finally proposed to simplify the design of radial diffusers without resorting to expensive and time-consuming procedures of optimization. The influence of the Reynolds number on the overall performance was also taken into account.
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ISSN:0957-6509
2041-2967
DOI:10.1243/09576509JPE797