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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Format: | Thesis |
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2008
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Online Access: | https://hdl.handle.net/10356/5293 |
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author | Ng, Wai Keet |
author2 | Murali Damodaran |
author_facet | Murali Damodaran Ng, Wai Keet |
author_sort | Ng, Wai Keet |
collection | NTU |
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. |
first_indexed | 2025-02-19T03:14:32Z |
format | Thesis |
id | ntu-10356/5293 |
institution | Nanyang Technological University |
last_indexed | 2025-02-19T03:14:32Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-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 |
spellingShingle | DRNTU::Engineering::Mechanical engineering Ng, Wai Keet Computational analysis and design of fan blade configurations for optimal fan performance characteristics |
title | 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_short | 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 |
topic | DRNTU::Engineering::Mechanical engineering |
url | https://hdl.handle.net/10356/5293 |
work_keys_str_mv | AT ngwaikeet computationalanalysisanddesignoffanbladeconfigurationsforoptimalfanperformancecharacteristics |