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Comparison of different turbulence models in pipe flow of various Reynolds numbers
In recent years, researchers have adopted different turbulence models to study turbulent flows in wall-bounded channels using computational fluid dynamics approach. Therefore, the performance comparison of turbulence models in wall-bounded turbulent flow against theoretical equations or experimental...
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description | In recent years, researchers have adopted different turbulence models to study turbulent flows in wall-bounded channels using computational fluid dynamics approach. Therefore, the performance comparison of turbulence models in wall-bounded turbulent flow against theoretical equations or experimental data has to be studied to provide a better insight for future application of turbulent models in wall-bounded flow. The aim of this study is to compare the performance of different turbulence models through numerical analysis of friction factor and turbulence intensity of fully developed turbulent pipe flow. Finite volume method (FVM) solver with three widely studied Reynolds-averaged Navier-Stokes equations (RANS) turbulence models are adopted to investigate friction factors and turbulence intensity of fully-developed water flow in smooth pipes at various Reynolds numbers. A pipe length which is sufficiently long is adopted to neglect the effects of entrance region. The simulated results are validated against analytical equations at various inlet Reynold’s number. Results shown that RNG k-∈ turbulence model with enhanced wall treatment is the most superior model in predicting friction factor, which is an important parameter in study of pressure drop in wall-bounded flow. In addition, SST k-ω turbulent model gives the closest prediction of turbulence intensities by area (T.I.), which will provide good estimation of T.I at the boundary conditions in pipe flow using CFD. |
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Therefore, the performance comparison of turbulence models in wall-bounded turbulent flow against theoretical equations or experimental data has to be studied to provide a better insight for future application of turbulent models in wall-bounded flow. The aim of this study is to compare the performance of different turbulence models through numerical analysis of friction factor and turbulence intensity of fully developed turbulent pipe flow. Finite volume method (FVM) solver with three widely studied Reynolds-averaged Navier-Stokes equations (RANS) turbulence models are adopted to investigate friction factors and turbulence intensity of fully-developed water flow in smooth pipes at various Reynolds numbers. A pipe length which is sufficiently long is adopted to neglect the effects of entrance region. The simulated results are validated against analytical equations at various inlet Reynold’s number. Results shown that RNG k-∈ turbulence model with enhanced wall treatment is the most superior model in predicting friction factor, which is an important parameter in study of pressure drop in wall-bounded flow. In addition, SST k-ω turbulent model gives the closest prediction of turbulence intensities by area (T.I.), which will provide good estimation of T.I at the boundary conditions in pipe flow using CFD.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.5075553</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Boundary conditions ; Computational fluid dynamics ; Computer simulation ; Entrances ; Finite volume method ; Fluid flow ; Friction ; Friction factor ; Numerical analysis ; Pipe flow ; Predictions ; Pressure drop ; Reynolds averaged Navier-Stokes method ; Simulation ; Turbulence intensity ; Turbulence models ; Turbulent flow ; Water flow</subject><ispartof>AIP conference proceedings, 2018, Vol.2035 (1)</ispartof><rights>Author(s)</rights><rights>2018 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-b173889a0c7037080084a685a479b2e2a3bd29105d3953c7cb12b2f44d2f95413</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925</link.rule.ids></links><search><contributor>Soon, William Pao King</contributor><contributor>Mamat, Othman B.</contributor><contributor>Nasif, Mohammad Shakir</contributor><contributor>Sulaiman, Shaharin Anwar B.</contributor><contributor>Ya, Hamdan</contributor><contributor>Pedapati, Srinivasa Rao</contributor><creatorcontrib>Lim, Desmond C.</creatorcontrib><creatorcontrib>Al-Kayiem, Hussain H.</creatorcontrib><creatorcontrib>Kurnia, Jundika C.</creatorcontrib><title>Comparison of different turbulence models in pipe flow of various Reynolds numbers</title><title>AIP conference proceedings</title><description>In recent years, researchers have adopted different turbulence models to study turbulent flows in wall-bounded channels using computational fluid dynamics approach. Therefore, the performance comparison of turbulence models in wall-bounded turbulent flow against theoretical equations or experimental data has to be studied to provide a better insight for future application of turbulent models in wall-bounded flow. The aim of this study is to compare the performance of different turbulence models through numerical analysis of friction factor and turbulence intensity of fully developed turbulent pipe flow. Finite volume method (FVM) solver with three widely studied Reynolds-averaged Navier-Stokes equations (RANS) turbulence models are adopted to investigate friction factors and turbulence intensity of fully-developed water flow in smooth pipes at various Reynolds numbers. A pipe length which is sufficiently long is adopted to neglect the effects of entrance region. The simulated results are validated against analytical equations at various inlet Reynold’s number. Results shown that RNG k-∈ turbulence model with enhanced wall treatment is the most superior model in predicting friction factor, which is an important parameter in study of pressure drop in wall-bounded flow. In addition, SST k-ω turbulent model gives the closest prediction of turbulence intensities by area (T.I.), which will provide good estimation of T.I at the boundary conditions in pipe flow using CFD.</description><subject>Boundary conditions</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Entrances</subject><subject>Finite volume method</subject><subject>Fluid flow</subject><subject>Friction</subject><subject>Friction factor</subject><subject>Numerical analysis</subject><subject>Pipe flow</subject><subject>Predictions</subject><subject>Pressure drop</subject><subject>Reynolds averaged Navier-Stokes method</subject><subject>Simulation</subject><subject>Turbulence intensity</subject><subject>Turbulence models</subject><subject>Turbulent flow</subject><subject>Water flow</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kMtKAzEARYMoWKsL_yDgTpia52SylOILCkJRcBeSSQIpM8mYzFT697a04M7V3Zx7LxwAbjFaYFTTB7zgSHDO6RmYYc5xJWpcn4MZQpJVhNGvS3BVygYhIoVoZmC9TP2gcygpwuShDd677OIIxymbqXOxdbBP1nUFhgiHMDjou_RzYLf7WpoKXLtdTJ0tME69cblcgwuvu-JuTjkHn89PH8vXavX-8rZ8XFUtkXSsDBa0aaRGrUBUoAahhum64ZoJaYgjmhpLJEbcUslpK1qDiSGeMUu85AzTObg77g45fU-ujGqTphz3l4pgSpgUUhyo-yNV2jDqMaSohhx6nXdqm7LC6uRLDdb_B2OkDoL_CvQXCZFsHA</recordid><startdate>20181113</startdate><enddate>20181113</enddate><creator>Lim, Desmond C.</creator><creator>Al-Kayiem, Hussain H.</creator><creator>Kurnia, Jundika C.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20181113</creationdate><title>Comparison of different turbulence models in pipe flow of various Reynolds numbers</title><author>Lim, Desmond C. ; Al-Kayiem, Hussain H. ; Kurnia, Jundika C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-b173889a0c7037080084a685a479b2e2a3bd29105d3953c7cb12b2f44d2f95413</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Boundary conditions</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Entrances</topic><topic>Finite volume method</topic><topic>Fluid flow</topic><topic>Friction</topic><topic>Friction factor</topic><topic>Numerical analysis</topic><topic>Pipe flow</topic><topic>Predictions</topic><topic>Pressure drop</topic><topic>Reynolds averaged Navier-Stokes method</topic><topic>Simulation</topic><topic>Turbulence intensity</topic><topic>Turbulence models</topic><topic>Turbulent flow</topic><topic>Water flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Desmond C.</creatorcontrib><creatorcontrib>Al-Kayiem, Hussain H.</creatorcontrib><creatorcontrib>Kurnia, Jundika C.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Desmond C.</au><au>Al-Kayiem, Hussain H.</au><au>Kurnia, Jundika C.</au><au>Soon, William Pao King</au><au>Mamat, Othman B.</au><au>Nasif, Mohammad Shakir</au><au>Sulaiman, Shaharin Anwar B.</au><au>Ya, Hamdan</au><au>Pedapati, Srinivasa Rao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Comparison of different turbulence models in pipe flow of various Reynolds numbers</atitle><btitle>AIP conference proceedings</btitle><date>2018-11-13</date><risdate>2018</risdate><volume>2035</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>In recent years, researchers have adopted different turbulence models to study turbulent flows in wall-bounded channels using computational fluid dynamics approach. Therefore, the performance comparison of turbulence models in wall-bounded turbulent flow against theoretical equations or experimental data has to be studied to provide a better insight for future application of turbulent models in wall-bounded flow. The aim of this study is to compare the performance of different turbulence models through numerical analysis of friction factor and turbulence intensity of fully developed turbulent pipe flow. Finite volume method (FVM) solver with three widely studied Reynolds-averaged Navier-Stokes equations (RANS) turbulence models are adopted to investigate friction factors and turbulence intensity of fully-developed water flow in smooth pipes at various Reynolds numbers. A pipe length which is sufficiently long is adopted to neglect the effects of entrance region. The simulated results are validated against analytical equations at various inlet Reynold’s number. Results shown that RNG k-∈ turbulence model with enhanced wall treatment is the most superior model in predicting friction factor, which is an important parameter in study of pressure drop in wall-bounded flow. In addition, SST k-ω turbulent model gives the closest prediction of turbulence intensities by area (T.I.), which will provide good estimation of T.I at the boundary conditions in pipe flow using CFD.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.5075553</doi><tpages>8</tpages></addata></record> |
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source | American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list) |
subjects | Boundary conditions Computational fluid dynamics Computer simulation Entrances Finite volume method Fluid flow Friction Friction factor Numerical analysis Pipe flow Predictions Pressure drop Reynolds averaged Navier-Stokes method Simulation Turbulence intensity Turbulence models Turbulent flow Water flow |
title | Comparison of different turbulence models in pipe flow of various Reynolds numbers |
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