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142398

Diffuser Optimization Using Computational Fluid Dynamics and Micro-Genetic Algorithms.

Article

Last updated: 04 Jan 2025

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Subjects

-

Tags

Mechanical Power Engineering

Abstract

An approach for the optimization of turbulent flow in diffusers is presented. A methodology is developed to integrate a finite volume-based computational fluid dynamics (CFD) model and an optimization tool uses micro-genetic algorithms (u GA). The CFD model is based on the Reynolds-averaged Navier-Stokes equations, with the standard k-e closure turbulence model. 
This methodology is tested on two cases. The first is the estimation of the conical diffuser length, which gives the maximum pressure recovery coefficient, for a given diffuser area ratio. Good agreement between the computational and experimental results is obtained. The second case is the optimization through wall contouring of a given two-dimensional diffuser area ratio and length ratio. The results indicate that the diffuser performance can be improved by this method. 

DOI

10.21608/bfemu.2021.142398

Keywords

Optimization, Genetic Algorithms, Diffuser, turbulent flow

Authors

First Name

Berge

Last Name

Djebedjian

MiddleName

Ohaness

Affiliation

Mechanical Power Engineering Department., Faculty of Engineering., El-Mansoura University., El-Mansoura 35516, Egypt.

Email

bergedje@mans.edu.eg

City

Mansoura

Orcid

-

Volume

28

Article Issue

4

Related Issue

20838

Issue Date

2003-12-01

Receive Date

2003-10-23

Publish Date

2021-01-23

Page Start

15

Page End

34

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 28_Issue 4_Pages 15-34.pdf

PDF . 404.3kB

Link

https://bfemu.journals.ekb.eg/article_142398.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=142398

Order

7

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Diffuser Optimization Using Computational Fluid Dynamics and Micro-Genetic Algorithms.

Details

Type

Article

Created At

22 Jan 2023