Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods
Due to strong motivation to reduce costs and increase performances of stationary diesel after-treatment systems, computational modeling has become a necessary step in system design and improvement. A unique mixing duct typified by significant changes in scale and strong flow curvature was evaluated...
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ndltd-LACETR-oai-collectionscanada.gc.ca-OTU.1807-428962014-01-03T03:43:34ZEvaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical MethodsPong, HenryaftertreatmentExhaust gas mixing0548Due to strong motivation to reduce costs and increase performances of stationary diesel after-treatment systems, computational modeling has become a necessary step in system design and improvement. A unique mixing duct typified by significant changes in scale and strong flow curvature was evaluated for its potential to improve flow distribution across the SCR catalyst inlet face. The flow dynamics were investigated with a steady three-dimensional turbulence model and detailed chemistry was studied separately using a one-dimensional channel reactive flow model. Aqueous urea injection was modeled using Discrete Phase Modeling. The mixing duct performance relative to reactor dimensions and engine loads is discussed. The Impact of injector positions was studied using massless particle tracking. A total of three geometries were evaluated using a Uniformity Index of the ammonia-to-NOx feed ratio. It was found that a higher mixing duct height to inlet diameter ratio yielded better mixing.Wallace, James S.Sullivan, Pierre E.2012-032013-11-27T17:23:18ZWITHHELD_ONE_YEAR2013-11-27T17:23:18Z2013-11-27Thesishttp://hdl.handle.net/1807/42896en_ca |
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en_ca |
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aftertreatment Exhaust gas mixing 0548 |
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aftertreatment Exhaust gas mixing 0548 Pong, Henry Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods |
description |
Due to strong motivation to reduce costs and increase performances of stationary diesel after-treatment systems, computational modeling has become a necessary step in system design and improvement. A unique mixing duct typified by significant changes in scale and strong flow curvature was evaluated for its potential to improve flow distribution across the SCR catalyst inlet face. The flow dynamics were investigated with a steady three-dimensional turbulence model and detailed chemistry was studied separately using a one-dimensional channel reactive flow model. Aqueous urea injection was modeled using Discrete Phase Modeling. The mixing duct performance relative to reactor dimensions and engine loads is discussed. The Impact of injector positions was studied using massless particle tracking. A total of three geometries were evaluated using a Uniformity Index of the ammonia-to-NOx feed ratio. It was found that a higher mixing duct height to inlet diameter ratio yielded better mixing. |
author2 |
Wallace, James S. |
author_facet |
Wallace, James S. Pong, Henry |
author |
Pong, Henry |
author_sort |
Pong, Henry |
title |
Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods |
title_short |
Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods |
title_full |
Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods |
title_fullStr |
Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods |
title_full_unstemmed |
Evaluation of an Exhaust Gas Mixing Duct for Off-road Diesel After-treatment Systems Using Numerical Methods |
title_sort |
evaluation of an exhaust gas mixing duct for off-road diesel after-treatment systems using numerical methods |
publishDate |
2012 |
url |
http://hdl.handle.net/1807/42896 |
work_keys_str_mv |
AT ponghenry evaluationofanexhaustgasmixingductforoffroaddieselaftertreatmentsystemsusingnumericalmethods |
_version_ |
1716621984500023296 |