Computational environmental hydraulics : pre-treatment filter modeling
The objective of the Final Year Project is to improve on and test out a mathematical model, the NEWRI HFM which emulates flow through rapid filtration system. An improvement to the calculation of clogging head loss is made as the previous equation used is a clean bed equation which will become inval...
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sg-ntu-dr.10356-636502023-03-03T17:00:38Z Computational environmental hydraulics : pre-treatment filter modeling Loh, Dong Qi Jiang Bao Xin Law Wing-Keung, Adrian School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute DRNTU::Engineering::Environmental engineering::Water treatment The objective of the Final Year Project is to improve on and test out a mathematical model, the NEWRI HFM which emulates flow through rapid filtration system. An improvement to the calculation of clogging head loss is made as the previous equation used is a clean bed equation which will become invalid when particle accumulation becomes significant. The NEWRI HFM is used to gauge its predictive capability by comparing predicted results against published experimental data. Understanding head loss development is important in the design and operation granular filtration systems. The focus of the discussion will be on head loss development during a filtration run. Bachelor of Engineering (Environmental Engineering) 2015-05-18T03:30:05Z 2015-05-18T03:30:05Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63650 en Nanyang Technological University 44 p. application/pdf |
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DRNTU::Engineering::Environmental engineering::Water treatment Loh, Dong Qi Computational environmental hydraulics : pre-treatment filter modeling |
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The objective of the Final Year Project is to improve on and test out a mathematical model, the NEWRI HFM which emulates flow through rapid filtration system. An improvement to the calculation of clogging head loss is made as the previous equation used is a clean bed equation which will become invalid when particle accumulation becomes significant. The NEWRI HFM is used to gauge its predictive capability by comparing predicted results against published experimental data. Understanding head loss development is important in the design and operation granular filtration systems. The focus of the discussion will be on head loss development during a filtration run. |
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Jiang Bao Xin |
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Jiang Bao Xin Loh, Dong Qi |
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Final Year Project |
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Loh, Dong Qi |
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Loh, Dong Qi |
title |
Computational environmental hydraulics : pre-treatment filter modeling |
title_short |
Computational environmental hydraulics : pre-treatment filter modeling |
title_full |
Computational environmental hydraulics : pre-treatment filter modeling |
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Computational environmental hydraulics : pre-treatment filter modeling |
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Computational environmental hydraulics : pre-treatment filter modeling |
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computational environmental hydraulics : pre-treatment filter modeling |
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2015 |
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http://hdl.handle.net/10356/63650 |
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