Turbulence modeling for Francis turbine water passages simulation
The applications of Computational Fluid Dynamics, CFD, to hydraulic machines life require the ability to handle turbulent flows and to take into account the effects of turbulence on the mean flow. Nowadays, Direct Numerical Simulation, DNS, is still not a good candidate for hydraulic machines simula...
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description | The applications of Computational Fluid Dynamics, CFD, to hydraulic machines life require the ability to handle turbulent flows and to take into account the effects of turbulence on the mean flow. Nowadays, Direct Numerical Simulation, DNS, is still not a good candidate for hydraulic machines simulations due to an expensive computational time consuming. Large Eddy Simulation, LES, even, is of the same category of DNS, could be an alternative whereby only the small scale turbulent fluctuations are modeled and the larger scale fluctuations are computed directly. Nevertheless, the Reynolds-Averaged Navier-Stokes, RANS, model have become the widespread standard base for numerous hydraulic machine design procedures. However, for many applications involving wall-bounded flows and attached boundary layers, various hybrid combinations of LES and RANS are being considered, such as Detached Eddy Simulation, DES, whereby the RANS approximation is kept in the regions where the boundary layers are attached to the solid walls. Furthermore, the accuracy of CFD simulations is highly dependent on the grid quality, in terms of grid uniformity in complex configurations. Moreover any successful structured and unstructured CFD codes have to offer a wide range to the variety of classic RANS model to hybrid complex model. The aim of this study is to compare the behavior of turbulent simulations for both structured and unstructured grids topology with two different CFD codes which used the same Francis turbine. Hence, the study is intended to outline the encountered discrepancy for predicting the wake of turbine blades by using either the standard k-ε model, or the standard k-ε model or the SST shear stress model in a steady CFD simulation. Finally, comparisons are made with experimental data from the EPFL Laboratory for Hydraulic Machines reduced scale model measurements. |
doi_str_mv | 10.1088/1755-1315/12/1/012070 |
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Nowadays, Direct Numerical Simulation, DNS, is still not a good candidate for hydraulic machines simulations due to an expensive computational time consuming. Large Eddy Simulation, LES, even, is of the same category of DNS, could be an alternative whereby only the small scale turbulent fluctuations are modeled and the larger scale fluctuations are computed directly. Nevertheless, the Reynolds-Averaged Navier-Stokes, RANS, model have become the widespread standard base for numerous hydraulic machine design procedures. However, for many applications involving wall-bounded flows and attached boundary layers, various hybrid combinations of LES and RANS are being considered, such as Detached Eddy Simulation, DES, whereby the RANS approximation is kept in the regions where the boundary layers are attached to the solid walls. Furthermore, the accuracy of CFD simulations is highly dependent on the grid quality, in terms of grid uniformity in complex configurations. Moreover any successful structured and unstructured CFD codes have to offer a wide range to the variety of classic RANS model to hybrid complex model. The aim of this study is to compare the behavior of turbulent simulations for both structured and unstructured grids topology with two different CFD codes which used the same Francis turbine. Hence, the study is intended to outline the encountered discrepancy for predicting the wake of turbine blades by using either the standard k-ε model, or the standard k-ε model or the SST shear stress model in a steady CFD simulation. Finally, comparisons are made with experimental data from the EPFL Laboratory for Hydraulic Machines reduced scale model measurements.</description><identifier>ISSN: 1755-1315</identifier><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/12/1/012070</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Boundary layers ; Computational fluid dynamics ; Computer applications ; Computing time ; Detached eddy simulation ; Direct numerical simulation ; Fluctuations ; Fluid dynamics ; Fluid flow ; Hydraulics ; Hydrodynamics ; Large eddy simulation ; Mathematical models ; Reynolds averaged Navier-Stokes method ; Scale models ; Shear stress ; Simulation ; Topology ; Turbine blades ; Turbines ; Turbulence ; Turbulent flow ; Unstructured grids (mathematics) ; Vortices</subject><ispartof>IOP conference series. Earth and environmental science, 2010-08, Vol.12 (1), p.012070-012070</ispartof><rights>Copyright IOP Publishing Aug 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-df1e1177d04a68c92d7cab9f12459f339e0c1609ea2fb7900fc5fcd964c9d0d93</citedby><cites>FETCH-LOGICAL-c368t-df1e1177d04a68c92d7cab9f12459f339e0c1609ea2fb7900fc5fcd964c9d0d93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1755-1315/12/1/012070/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,780,784,1552,27627,27923,27924,53903,53930</link.rule.ids><linktorsrc>$$Uhttp://iopscience.iop.org/1755-1315/12/1/012070$$EView_record_in_IOP_Publishing$$FView_record_in_$$GIOP_Publishing</linktorsrc></links><search><creatorcontrib>Maruzewski, P</creatorcontrib><creatorcontrib>Hayashi, H</creatorcontrib><creatorcontrib>Munch, C</creatorcontrib><creatorcontrib>Yamaishi, K</creatorcontrib><creatorcontrib>Hashii, T</creatorcontrib><creatorcontrib>Mombelli, H P</creatorcontrib><creatorcontrib>Sugow, Y</creatorcontrib><creatorcontrib>Avellan, F</creatorcontrib><title>Turbulence modeling for Francis turbine water passages simulation</title><title>IOP conference series. Earth and environmental science</title><description>The applications of Computational Fluid Dynamics, CFD, to hydraulic machines life require the ability to handle turbulent flows and to take into account the effects of turbulence on the mean flow. Nowadays, Direct Numerical Simulation, DNS, is still not a good candidate for hydraulic machines simulations due to an expensive computational time consuming. Large Eddy Simulation, LES, even, is of the same category of DNS, could be an alternative whereby only the small scale turbulent fluctuations are modeled and the larger scale fluctuations are computed directly. Nevertheless, the Reynolds-Averaged Navier-Stokes, RANS, model have become the widespread standard base for numerous hydraulic machine design procedures. However, for many applications involving wall-bounded flows and attached boundary layers, various hybrid combinations of LES and RANS are being considered, such as Detached Eddy Simulation, DES, whereby the RANS approximation is kept in the regions where the boundary layers are attached to the solid walls. Furthermore, the accuracy of CFD simulations is highly dependent on the grid quality, in terms of grid uniformity in complex configurations. Moreover any successful structured and unstructured CFD codes have to offer a wide range to the variety of classic RANS model to hybrid complex model. The aim of this study is to compare the behavior of turbulent simulations for both structured and unstructured grids topology with two different CFD codes which used the same Francis turbine. Hence, the study is intended to outline the encountered discrepancy for predicting the wake of turbine blades by using either the standard k-ε model, or the standard k-ε model or the SST shear stress model in a steady CFD simulation. Finally, comparisons are made with experimental data from the EPFL Laboratory for Hydraulic Machines reduced scale model measurements.</description><subject>Boundary layers</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computing time</subject><subject>Detached eddy simulation</subject><subject>Direct numerical simulation</subject><subject>Fluctuations</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Hydraulics</subject><subject>Hydrodynamics</subject><subject>Large eddy simulation</subject><subject>Mathematical models</subject><subject>Reynolds averaged Navier-Stokes method</subject><subject>Scale models</subject><subject>Shear stress</subject><subject>Simulation</subject><subject>Topology</subject><subject>Turbine blades</subject><subject>Turbines</subject><subject>Turbulence</subject><subject>Turbulent flow</subject><subject>Unstructured grids (mathematics)</subject><subject>Vortices</subject><issn>1755-1315</issn><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kFFLwzAQx4soOKcfQSj44Iu1d0mbNo9jOBUGvsznkKXJyOiamrSI396WiooMn3Lkfv-74xdF1wj3CGWZYpHnCVLMUyQppoAECjiJZt__p7_q8-gihD0AKzLKZ9Fi0_ttX-tG6fjgKl3bZhcb5-OVl42yIe6Gvm10_C477eNWhiB3OsTBHvpadtY1l9GZkXXQV1_vPHpdPWyWT8n65fF5uVgnirKySyqDGrEoKsgkKxUnVaHklhskWc4NpVyDQgZcS2K2BQcwKjeq4ixTvIKK03l0O81tvXvrdejEwQal61o22vVBlDlmjAEdyZs_5N71vhmOEySnGYGSZSOVT5TyLgSvjWi9PUj_IRDE6FWMzsToTCARKCavQ-5uylnX_kSOoaKtzIDDEfzfDZ-74oY4</recordid><startdate>20100801</startdate><enddate>20100801</enddate><creator>Maruzewski, P</creator><creator>Hayashi, H</creator><creator>Munch, C</creator><creator>Yamaishi, K</creator><creator>Hashii, T</creator><creator>Mombelli, H P</creator><creator>Sugow, Y</creator><creator>Avellan, F</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>20100801</creationdate><title>Turbulence modeling for Francis turbine water passages simulation</title><author>Maruzewski, P ; Hayashi, H ; Munch, C ; Yamaishi, K ; Hashii, T ; Mombelli, H P ; Sugow, Y ; Avellan, F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-df1e1177d04a68c92d7cab9f12459f339e0c1609ea2fb7900fc5fcd964c9d0d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Boundary layers</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computing time</topic><topic>Detached eddy simulation</topic><topic>Direct numerical simulation</topic><topic>Fluctuations</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Hydraulics</topic><topic>Hydrodynamics</topic><topic>Large eddy simulation</topic><topic>Mathematical models</topic><topic>Reynolds averaged Navier-Stokes method</topic><topic>Scale models</topic><topic>Shear stress</topic><topic>Simulation</topic><topic>Topology</topic><topic>Turbine blades</topic><topic>Turbines</topic><topic>Turbulence</topic><topic>Turbulent flow</topic><topic>Unstructured grids (mathematics)</topic><topic>Vortices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maruzewski, P</creatorcontrib><creatorcontrib>Hayashi, H</creatorcontrib><creatorcontrib>Munch, C</creatorcontrib><creatorcontrib>Yamaishi, K</creatorcontrib><creatorcontrib>Hashii, T</creatorcontrib><creatorcontrib>Mombelli, H P</creatorcontrib><creatorcontrib>Sugow, Y</creatorcontrib><creatorcontrib>Avellan, F</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Maruzewski, P</au><au>Hayashi, H</au><au>Munch, C</au><au>Yamaishi, K</au><au>Hashii, T</au><au>Mombelli, H P</au><au>Sugow, Y</au><au>Avellan, F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Turbulence modeling for Francis turbine water passages simulation</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><date>2010-08-01</date><risdate>2010</risdate><volume>12</volume><issue>1</issue><spage>012070</spage><epage>012070</epage><pages>012070-012070</pages><issn>1755-1315</issn><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>The applications of Computational Fluid Dynamics, CFD, to hydraulic machines life require the ability to handle turbulent flows and to take into account the effects of turbulence on the mean flow. Nowadays, Direct Numerical Simulation, DNS, is still not a good candidate for hydraulic machines simulations due to an expensive computational time consuming. Large Eddy Simulation, LES, even, is of the same category of DNS, could be an alternative whereby only the small scale turbulent fluctuations are modeled and the larger scale fluctuations are computed directly. Nevertheless, the Reynolds-Averaged Navier-Stokes, RANS, model have become the widespread standard base for numerous hydraulic machine design procedures. However, for many applications involving wall-bounded flows and attached boundary layers, various hybrid combinations of LES and RANS are being considered, such as Detached Eddy Simulation, DES, whereby the RANS approximation is kept in the regions where the boundary layers are attached to the solid walls. Furthermore, the accuracy of CFD simulations is highly dependent on the grid quality, in terms of grid uniformity in complex configurations. Moreover any successful structured and unstructured CFD codes have to offer a wide range to the variety of classic RANS model to hybrid complex model. The aim of this study is to compare the behavior of turbulent simulations for both structured and unstructured grids topology with two different CFD codes which used the same Francis turbine. Hence, the study is intended to outline the encountered discrepancy for predicting the wake of turbine blades by using either the standard k-ε model, or the standard k-ε model or the SST shear stress model in a steady CFD simulation. Finally, comparisons are made with experimental data from the EPFL Laboratory for Hydraulic Machines reduced scale model measurements.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/12/1/012070</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Boundary layers Computational fluid dynamics Computer applications Computing time Detached eddy simulation Direct numerical simulation Fluctuations Fluid dynamics Fluid flow Hydraulics Hydrodynamics Large eddy simulation Mathematical models Reynolds averaged Navier-Stokes method Scale models Shear stress Simulation Topology Turbine blades Turbines Turbulence Turbulent flow Unstructured grids (mathematics) Vortices |
title | Turbulence modeling for Francis turbine water passages simulation |
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