Computational analysis and design of fan blade configurations for optimal fan performance characteristics

Computational analysis and design of fan blade configurations for optimal fan performance characteristics

This thesis describes the computational analysis of industrial centrifugal fans using incompressible Reynolds Averaged Navier Stokes equations in sliding meshes and the optimization of fan performance characteristics using genetic algorithm with a reduced order modeling technique called proper ortho...

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Main Author: Ng, Wai Keet
Other Authors: Murali Damodaran
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Mechanical engineering
Online Access:https://hdl.handle.net/10356/5293
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-5293
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spelling sg-ntu-dr.10356-52932023-03-11T17:48:27Z Computational analysis and design of fan blade configurations for optimal fan performance characteristics Ng, Wai Keet Murali Damodaran School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering This thesis describes the computational analysis of industrial centrifugal fans using incompressible Reynolds Averaged Navier Stokes equations in sliding meshes and the optimization of fan performance characteristics using genetic algorithm with a reduced order modeling technique called proper orthogonal decomposition (POD). POD modes created from flow simulation snapshots at the fan outlet are combined with interpolation method to estimate the large population sample needed for optimization. MASTER OF ENGINEERING (MPE) 2008-09-17T10:47:12Z 2008-09-17T10:47:12Z 2007 2007 Thesis Ng, W. K. (2007). Computational analysis and design of fan blade configurations for optimal fan performance characteristics. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/5293 10.32657/10356/5293 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Ng, Wai Keet
Computational analysis and design of fan blade configurations for optimal fan performance characteristics
description This thesis describes the computational analysis of industrial centrifugal fans using incompressible Reynolds Averaged Navier Stokes equations in sliding meshes and the optimization of fan performance characteristics using genetic algorithm with a reduced order modeling technique called proper orthogonal decomposition (POD). POD modes created from flow simulation snapshots at the fan outlet are combined with interpolation method to estimate the large population sample needed for optimization.
author2 Murali Damodaran
author_facet Murali Damodaran
Ng, Wai Keet
format Theses and Dissertations
author Ng, Wai Keet
author_sort Ng, Wai Keet
title Computational analysis and design of fan blade configurations for optimal fan performance characteristics
title_short Computational analysis and design of fan blade configurations for optimal fan performance characteristics
title_full Computational analysis and design of fan blade configurations for optimal fan performance characteristics
title_fullStr Computational analysis and design of fan blade configurations for optimal fan performance characteristics
title_full_unstemmed Computational analysis and design of fan blade configurations for optimal fan performance characteristics
title_sort computational analysis and design of fan blade configurations for optimal fan performance characteristics
publishDate 2008
url https://hdl.handle.net/10356/5293
_version_ 1761781973953544192

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