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
Affiliation
Mechanical Power Engineering Department., Faculty of Engineering., El-Mansoura University., El-Mansoura 35516, Egypt.
Email
bergedje@mans.edu.eg
Orcid
-Link
https://bfemu.journals.ekb.eg/article_142398.html
Detail API
https://bfemu.journals.ekb.eg/service?article_code=142398
Publication Title
MEJ. Mansoura Engineering Journal
Publication Link
https://bfemu.journals.ekb.eg/
MainTitle
-