Evaluation of CFD sub-models for in-cylinder light-duty diesel engine simulation
An evaluation of the Computational Fluid Dynamics (CFD) sub-models for in-cylinder diesel engine combustion and emission simulations was conducted using an integrated numerical model from commercial CFD software FLUENT 6.3.26. As these simulations are sensitive to user-defined empirical parameters,...
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description | An evaluation of the Computational Fluid Dynamics (CFD) sub-models for in-cylinder diesel engine combustion and emission simulations was conducted using an integrated numerical model from commercial CFD software FLUENT 6.3.26. As these simulations are sensitive to user-defined empirical parameters, the main aim of this investigation is to obtain an adjusted set of model parameters in order to achieve realistic results with the current version of FLUENT. Validation of simulation results is based on matching parallel experimental data to gauge the accuracy and applicability of each sub-model used. A Lagrangian Discrete Phase Model is employed to simulate spray atomisation/breakup process. Wave model is used, and the corresponding breakup time constant value, B 1 that equals to 20 produces the most accurate results. Other sub-models such as drop distortion and dynamic drag, spray wall impingement and wall film with rebounding sliding and break-up, two-way turbulence coupling, collision and coalescences are integrated to model the dynamics of fuel spray. RNG k-¿ is best suited for RANS approach to capture in-cylinder turbulent flow condition. Non-premixed combustion model which adopts the PDF approach provides good prediction of the in-cylinder diesel combustion process. The rich flammability limit of 0.1 produces good agreement with the experimental data. Extended Zeldovich, Fenimore and Turbulence-Interaction are incorporated to model NO x generation. One-step Khan and Greeves model is used for soot formation and oxidation prediction. Both soot and NO x models are parametrically calibrated to give reasonable predictions of the experimental measurements. |
doi_str_mv | 10.1109/ICEENVIRON.2009.5398636 |
format | Conference Proceeding |
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As these simulations are sensitive to user-defined empirical parameters, the main aim of this investigation is to obtain an adjusted set of model parameters in order to achieve realistic results with the current version of FLUENT. Validation of simulation results is based on matching parallel experimental data to gauge the accuracy and applicability of each sub-model used. A Lagrangian Discrete Phase Model is employed to simulate spray atomisation/breakup process. Wave model is used, and the corresponding breakup time constant value, B 1 that equals to 20 produces the most accurate results. Other sub-models such as drop distortion and dynamic drag, spray wall impingement and wall film with rebounding sliding and break-up, two-way turbulence coupling, collision and coalescences are integrated to model the dynamics of fuel spray. RNG k-¿ is best suited for RANS approach to capture in-cylinder turbulent flow condition. Non-premixed combustion model which adopts the PDF approach provides good prediction of the in-cylinder diesel combustion process. The rich flammability limit of 0.1 produces good agreement with the experimental data. Extended Zeldovich, Fenimore and Turbulence-Interaction are incorporated to model NO x generation. One-step Khan and Greeves model is used for soot formation and oxidation prediction. Both soot and NO x models are parametrically calibrated to give reasonable predictions of the experimental measurements.</description><identifier>ISBN: 9781424451449</identifier><identifier>ISBN: 1424451442</identifier><identifier>EISBN: 9781424451456</identifier><identifier>EISBN: 1424451450</identifier><identifier>DOI: 10.1109/ICEENVIRON.2009.5398636</identifier><identifier>LCCN: 2009934058</identifier><language>eng</language><publisher>IEEE</publisher><subject>Combustion ; Computational fluid dynamics ; Computational modeling ; Diesel Engine ; Diesel engines ; Drag ; FLUENT ; Fuel Spray ; Fuels ; Lagrangian functions ; Modelling ; Non-Premixed ; Numerical models ; Predictive models ; Spraying</subject><ispartof>2009 3rd International Conference on Energy and Environment (ICEE), 2009, p.272-278</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5398636$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27908,54903</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5398636$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Harun, M.I.</creatorcontrib><creatorcontrib>Ng, H.K.</creatorcontrib><creatorcontrib>Gan, S.</creatorcontrib><title>Evaluation of CFD sub-models for in-cylinder light-duty diesel engine simulation</title><title>2009 3rd International Conference on Energy and Environment (ICEE)</title><addtitle>ICEENVIRON</addtitle><description>An evaluation of the Computational Fluid Dynamics (CFD) sub-models for in-cylinder diesel engine combustion and emission simulations was conducted using an integrated numerical model from commercial CFD software FLUENT 6.3.26. As these simulations are sensitive to user-defined empirical parameters, the main aim of this investigation is to obtain an adjusted set of model parameters in order to achieve realistic results with the current version of FLUENT. Validation of simulation results is based on matching parallel experimental data to gauge the accuracy and applicability of each sub-model used. A Lagrangian Discrete Phase Model is employed to simulate spray atomisation/breakup process. Wave model is used, and the corresponding breakup time constant value, B 1 that equals to 20 produces the most accurate results. Other sub-models such as drop distortion and dynamic drag, spray wall impingement and wall film with rebounding sliding and break-up, two-way turbulence coupling, collision and coalescences are integrated to model the dynamics of fuel spray. RNG k-¿ is best suited for RANS approach to capture in-cylinder turbulent flow condition. Non-premixed combustion model which adopts the PDF approach provides good prediction of the in-cylinder diesel combustion process. The rich flammability limit of 0.1 produces good agreement with the experimental data. Extended Zeldovich, Fenimore and Turbulence-Interaction are incorporated to model NO x generation. One-step Khan and Greeves model is used for soot formation and oxidation prediction. Both soot and NO x models are parametrically calibrated to give reasonable predictions of the experimental measurements.</description><subject>Combustion</subject><subject>Computational fluid dynamics</subject><subject>Computational modeling</subject><subject>Diesel Engine</subject><subject>Diesel engines</subject><subject>Drag</subject><subject>FLUENT</subject><subject>Fuel Spray</subject><subject>Fuels</subject><subject>Lagrangian functions</subject><subject>Modelling</subject><subject>Non-Premixed</subject><subject>Numerical models</subject><subject>Predictive models</subject><subject>Spraying</subject><isbn>9781424451449</isbn><isbn>1424451442</isbn><isbn>9781424451456</isbn><isbn>1424451450</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1KxDAUhSMyoI59AhfmBVpz2yRtllI7WhhmRAa3Q9LejJG0laYV5u39m41nczjw8S0OIbfAEgCm7uqyqjav9ct2k6SMqURkqpCZPCORygvgKecCuJDn_zZXC3L1g6uMM1FckCiEd_YdLlLF-SV5rj61n_Xkhp4OlparBxpmE3dDiz5QO4zU9XFz9K5vcaTeHd6muJ2nI20dBvQU-4PrkQbXzf7Xck0WVvuA0amXZLeqduVTvN4-1uX9OnaKTXHTNCCkxsbmhiNKTEFjyjJeoBFWAdpcGg3M5hZMboRhAIAMdCs5Nm2eLcnNn9Yh4v5jdJ0ej_vTJ9kXpOFVsQ</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Harun, M.I.</creator><creator>Ng, H.K.</creator><creator>Gan, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Evaluation of CFD sub-models for in-cylinder light-duty diesel engine simulation</title><author>Harun, M.I. ; Ng, H.K. ; Gan, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-ccc156aecf7b4ee6e21ae20348eb5f91ef76ba10f7f1b7b5b0111e01ad64ecd73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Combustion</topic><topic>Computational fluid dynamics</topic><topic>Computational modeling</topic><topic>Diesel Engine</topic><topic>Diesel engines</topic><topic>Drag</topic><topic>FLUENT</topic><topic>Fuel Spray</topic><topic>Fuels</topic><topic>Lagrangian functions</topic><topic>Modelling</topic><topic>Non-Premixed</topic><topic>Numerical models</topic><topic>Predictive models</topic><topic>Spraying</topic><toplevel>online_resources</toplevel><creatorcontrib>Harun, M.I.</creatorcontrib><creatorcontrib>Ng, H.K.</creatorcontrib><creatorcontrib>Gan, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Harun, M.I.</au><au>Ng, H.K.</au><au>Gan, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Evaluation of CFD sub-models for in-cylinder light-duty diesel engine simulation</atitle><btitle>2009 3rd International Conference on Energy and Environment (ICEE)</btitle><stitle>ICEENVIRON</stitle><date>2009-12</date><risdate>2009</risdate><spage>272</spage><epage>278</epage><pages>272-278</pages><isbn>9781424451449</isbn><isbn>1424451442</isbn><eisbn>9781424451456</eisbn><eisbn>1424451450</eisbn><abstract>An evaluation of the Computational Fluid Dynamics (CFD) sub-models for in-cylinder diesel engine combustion and emission simulations was conducted using an integrated numerical model from commercial CFD software FLUENT 6.3.26. As these simulations are sensitive to user-defined empirical parameters, the main aim of this investigation is to obtain an adjusted set of model parameters in order to achieve realistic results with the current version of FLUENT. Validation of simulation results is based on matching parallel experimental data to gauge the accuracy and applicability of each sub-model used. A Lagrangian Discrete Phase Model is employed to simulate spray atomisation/breakup process. Wave model is used, and the corresponding breakup time constant value, B 1 that equals to 20 produces the most accurate results. Other sub-models such as drop distortion and dynamic drag, spray wall impingement and wall film with rebounding sliding and break-up, two-way turbulence coupling, collision and coalescences are integrated to model the dynamics of fuel spray. RNG k-¿ is best suited for RANS approach to capture in-cylinder turbulent flow condition. Non-premixed combustion model which adopts the PDF approach provides good prediction of the in-cylinder diesel combustion process. The rich flammability limit of 0.1 produces good agreement with the experimental data. Extended Zeldovich, Fenimore and Turbulence-Interaction are incorporated to model NO x generation. One-step Khan and Greeves model is used for soot formation and oxidation prediction. Both soot and NO x models are parametrically calibrated to give reasonable predictions of the experimental measurements.</abstract><pub>IEEE</pub><doi>10.1109/ICEENVIRON.2009.5398636</doi><tpages>7</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Combustion Computational fluid dynamics Computational modeling Diesel Engine Diesel engines Drag FLUENT Fuel Spray Fuels Lagrangian functions Modelling Non-Premixed Numerical models Predictive models Spraying |
title | Evaluation of CFD sub-models for in-cylinder light-duty diesel engine simulation |
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