Loading…
The computation of flow and heat transfer through an orthogonally rotating square-ended U-bend, using low-Reynolds-number models
Purpose - To assess how effectively two-layer and low-Reynolds-number models of turbulence, at effective viscosity and second-moment closure level, can predict the flow and thermal development through orthogonally rotating U-bends.Design methodology approach - Heat and fluid flow computations throug...
Saved in:
Published in: | International journal of numerical methods for heat & fluid flow 2006-01, Vol.16 (7), p.827-844 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743 |
---|---|
cites | cdi_FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743 |
container_end_page | 844 |
container_issue | 7 |
container_start_page | 827 |
container_title | International journal of numerical methods for heat & fluid flow |
container_volume | 16 |
creator | Nikas, Konstantinos-Stephen P Iacovides, Hector |
description | Purpose - To assess how effectively two-layer and low-Reynolds-number models of turbulence, at effective viscosity and second-moment closure level, can predict the flow and thermal development through orthogonally rotating U-bends.Design methodology approach - Heat and fluid flow computations through a square-ended U-bend that rotates about an axis normal to both the main flow direction and also the axis of curvature have been carried out. Two-layer and low-Reynolds-number mathematical models of turbulence are used at effective viscosity (EVM) level and also at second-moment-closure (DSM) level. In the two-layer models the dissipation rate of turbulence in the new-wall regions is obtained from the wall distance, while in the low-Re models the transport equation for the dissipation rate is extended right up to the walls. Moreover, two length-scale correction terms to the dissipation rate of turbulence are used with the low-Re models, and original Yap term and a differential form that does not require the wall distance (NYap). The resulting predictions are compared with available flow measurements at a Reynolds number of 100,000 and a rotation number (ΩD Ubl) of 0.2 and also with heat transfer measurements at a Reynolds number of 36,000, rotation number of 0.2 and Prandtl number of 5.9 (water).Findings - While the main flow features are well reproduced by all models, the development of the mean flow within the just after the bend in better reproduced by the low-Re models. Turbulence levels within the rotation U-bend are under-predicted, but DSM models produce a more realistic distribution. Along the leading side all models over-predict heat transfer levels just after the bend. Along the trailing side, the heat transfer predictions of the fully low-Re DSM with the differential length-scale correction term NYap are close to the measurements, with an average error of around 10 per cent, though at the bend exit it rises to 25 per cent. The introduction of a differential form of the length-scale correction term to improve the heat transfer predictions of both low-Re models.Research limitations implications - The numerical models assumed that the flow remains steady and is not affected by large-scale, low frequency fluctuations. Unsteady RANS computations or LES must also be tested in the future.Originality value - This work has expanded the range of complex turbulent flow over which the effectiveness of RANS models has been tested, to internal cooling flows simul |
doi_str_mv | 10.1108/09615530610683539 |
format | article |
fullrecord | <record><control><sourceid>proquest_emera</sourceid><recordid>TN_cdi_proquest_miscellaneous_36269151</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>36269151</sourcerecordid><originalsourceid>FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743</originalsourceid><addsrcrecordid>eNqNkc9rFDEYhoMouK3-Ad6Ch56amh-T7MyxlLYWCoJsz8M3yZedLZlkm8wge_NPN8t6soKeEnif54XkJeST4FdC8PYL74zQWnEjuGmVVt0bshJr3TKjW_2WrI45q0D3npyV8sw516YxK_JzMyK1adovM8y7FGny1If0g0J0dESY6ZwhFo-ZzmNOy3asCU15HtM2RQjhQHM6qnFLy8sCGRlGh44-saFeLulSjlFtZN_xEFNwhcVlGmrflByG8oG88xAKfvx9npOnu9vNzVf2-O3-4eb6kdlG65lp5VC2zloLggsELwapJAwgJWhh5NoazaGR6Oq7OMiOD1ZY6TV41Q3rRp2Ti1PvPqeXBcvcT7tiMQSImJbSKyNNJ7T4N8i7TholK_j5D_A5Lbn-Seml0LJO0egKiRNkcyolo-_3eTdBPvSC98fl-lfLVYefHJwwQ3D_pVz-XXmF9nvn1S-HFqiO</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>215206145</pqid></control><display><type>article</type><title>The computation of flow and heat transfer through an orthogonally rotating square-ended U-bend, using low-Reynolds-number models</title><source>ABI/INFORM Global</source><source>Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list)</source><creator>Nikas, Konstantinos-Stephen P ; Iacovides, Hector</creator><creatorcontrib>Nikas, Konstantinos-Stephen P ; Iacovides, Hector</creatorcontrib><description>Purpose - To assess how effectively two-layer and low-Reynolds-number models of turbulence, at effective viscosity and second-moment closure level, can predict the flow and thermal development through orthogonally rotating U-bends.Design methodology approach - Heat and fluid flow computations through a square-ended U-bend that rotates about an axis normal to both the main flow direction and also the axis of curvature have been carried out. Two-layer and low-Reynolds-number mathematical models of turbulence are used at effective viscosity (EVM) level and also at second-moment-closure (DSM) level. In the two-layer models the dissipation rate of turbulence in the new-wall regions is obtained from the wall distance, while in the low-Re models the transport equation for the dissipation rate is extended right up to the walls. Moreover, two length-scale correction terms to the dissipation rate of turbulence are used with the low-Re models, and original Yap term and a differential form that does not require the wall distance (NYap). The resulting predictions are compared with available flow measurements at a Reynolds number of 100,000 and a rotation number (ΩD Ubl) of 0.2 and also with heat transfer measurements at a Reynolds number of 36,000, rotation number of 0.2 and Prandtl number of 5.9 (water).Findings - While the main flow features are well reproduced by all models, the development of the mean flow within the just after the bend in better reproduced by the low-Re models. Turbulence levels within the rotation U-bend are under-predicted, but DSM models produce a more realistic distribution. Along the leading side all models over-predict heat transfer levels just after the bend. Along the trailing side, the heat transfer predictions of the fully low-Re DSM with the differential length-scale correction term NYap are close to the measurements, with an average error of around 10 per cent, though at the bend exit it rises to 25 per cent. The introduction of a differential form of the length-scale correction term to improve the heat transfer predictions of both low-Re models.Research limitations implications - The numerical models assumed that the flow remains steady and is not affected by large-scale, low frequency fluctuations. Unsteady RANS computations or LES must also be tested in the future.Originality value - This work has expanded the range of complex turbulent flow over which the effectiveness of RANS models has been tested, to internal cooling flows simultaneously affected by orthogonal rotation and strong curvature.</description><identifier>ISSN: 0961-5539</identifier><identifier>EISSN: 1758-6585</identifier><identifier>DOI: 10.1108/09615530610683539</identifier><identifier>CODEN: INMFEM</identifier><language>eng</language><publisher>Bradford: Emerald Group Publishing Limited</publisher><subject>Approximation ; Cooling ; Flow measurement ; Fluid flow ; Heat transfer ; Mathematical models ; Reynolds number ; Studies ; Turbulence ; Turbulence models ; Turbulent flow ; Viscosity</subject><ispartof>International journal of numerical methods for heat & fluid flow, 2006-01, Vol.16 (7), p.827-844</ispartof><rights>Emerald Group Publishing Limited</rights><rights>Copyright Emerald Group Publishing Limited 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743</citedby><cites>FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/215206145/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/215206145?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,36061,44363,74767</link.rule.ids></links><search><creatorcontrib>Nikas, Konstantinos-Stephen P</creatorcontrib><creatorcontrib>Iacovides, Hector</creatorcontrib><title>The computation of flow and heat transfer through an orthogonally rotating square-ended U-bend, using low-Reynolds-number models</title><title>International journal of numerical methods for heat & fluid flow</title><description>Purpose - To assess how effectively two-layer and low-Reynolds-number models of turbulence, at effective viscosity and second-moment closure level, can predict the flow and thermal development through orthogonally rotating U-bends.Design methodology approach - Heat and fluid flow computations through a square-ended U-bend that rotates about an axis normal to both the main flow direction and also the axis of curvature have been carried out. Two-layer and low-Reynolds-number mathematical models of turbulence are used at effective viscosity (EVM) level and also at second-moment-closure (DSM) level. In the two-layer models the dissipation rate of turbulence in the new-wall regions is obtained from the wall distance, while in the low-Re models the transport equation for the dissipation rate is extended right up to the walls. Moreover, two length-scale correction terms to the dissipation rate of turbulence are used with the low-Re models, and original Yap term and a differential form that does not require the wall distance (NYap). The resulting predictions are compared with available flow measurements at a Reynolds number of 100,000 and a rotation number (ΩD Ubl) of 0.2 and also with heat transfer measurements at a Reynolds number of 36,000, rotation number of 0.2 and Prandtl number of 5.9 (water).Findings - While the main flow features are well reproduced by all models, the development of the mean flow within the just after the bend in better reproduced by the low-Re models. Turbulence levels within the rotation U-bend are under-predicted, but DSM models produce a more realistic distribution. Along the leading side all models over-predict heat transfer levels just after the bend. Along the trailing side, the heat transfer predictions of the fully low-Re DSM with the differential length-scale correction term NYap are close to the measurements, with an average error of around 10 per cent, though at the bend exit it rises to 25 per cent. The introduction of a differential form of the length-scale correction term to improve the heat transfer predictions of both low-Re models.Research limitations implications - The numerical models assumed that the flow remains steady and is not affected by large-scale, low frequency fluctuations. Unsteady RANS computations or LES must also be tested in the future.Originality value - This work has expanded the range of complex turbulent flow over which the effectiveness of RANS models has been tested, to internal cooling flows simultaneously affected by orthogonal rotation and strong curvature.</description><subject>Approximation</subject><subject>Cooling</subject><subject>Flow measurement</subject><subject>Fluid flow</subject><subject>Heat transfer</subject><subject>Mathematical models</subject><subject>Reynolds number</subject><subject>Studies</subject><subject>Turbulence</subject><subject>Turbulence models</subject><subject>Turbulent flow</subject><subject>Viscosity</subject><issn>0961-5539</issn><issn>1758-6585</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNqNkc9rFDEYhoMouK3-Ad6Ch56amh-T7MyxlLYWCoJsz8M3yZedLZlkm8wge_NPN8t6soKeEnif54XkJeST4FdC8PYL74zQWnEjuGmVVt0bshJr3TKjW_2WrI45q0D3npyV8sw516YxK_JzMyK1adovM8y7FGny1If0g0J0dESY6ZwhFo-ZzmNOy3asCU15HtM2RQjhQHM6qnFLy8sCGRlGh44-saFeLulSjlFtZN_xEFNwhcVlGmrflByG8oG88xAKfvx9npOnu9vNzVf2-O3-4eb6kdlG65lp5VC2zloLggsELwapJAwgJWhh5NoazaGR6Oq7OMiOD1ZY6TV41Q3rRp2Ti1PvPqeXBcvcT7tiMQSImJbSKyNNJ7T4N8i7TholK_j5D_A5Lbn-Seml0LJO0egKiRNkcyolo-_3eTdBPvSC98fl-lfLVYefHJwwQ3D_pVz-XXmF9nvn1S-HFqiO</recordid><startdate>20060101</startdate><enddate>20060101</enddate><creator>Nikas, Konstantinos-Stephen P</creator><creator>Iacovides, Hector</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7TB</scope><scope>7U5</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>20060101</creationdate><title>The computation of flow and heat transfer through an orthogonally rotating square-ended U-bend, using low-Reynolds-number models</title><author>Nikas, Konstantinos-Stephen P ; Iacovides, Hector</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Approximation</topic><topic>Cooling</topic><topic>Flow measurement</topic><topic>Fluid flow</topic><topic>Heat transfer</topic><topic>Mathematical models</topic><topic>Reynolds number</topic><topic>Studies</topic><topic>Turbulence</topic><topic>Turbulence models</topic><topic>Turbulent flow</topic><topic>Viscosity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nikas, Konstantinos-Stephen P</creatorcontrib><creatorcontrib>Iacovides, Hector</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>ProQuest Science Journals</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><jtitle>International journal of numerical methods for heat & fluid flow</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nikas, Konstantinos-Stephen P</au><au>Iacovides, Hector</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The computation of flow and heat transfer through an orthogonally rotating square-ended U-bend, using low-Reynolds-number models</atitle><jtitle>International journal of numerical methods for heat & fluid flow</jtitle><date>2006-01-01</date><risdate>2006</risdate><volume>16</volume><issue>7</issue><spage>827</spage><epage>844</epage><pages>827-844</pages><issn>0961-5539</issn><eissn>1758-6585</eissn><coden>INMFEM</coden><abstract>Purpose - To assess how effectively two-layer and low-Reynolds-number models of turbulence, at effective viscosity and second-moment closure level, can predict the flow and thermal development through orthogonally rotating U-bends.Design methodology approach - Heat and fluid flow computations through a square-ended U-bend that rotates about an axis normal to both the main flow direction and also the axis of curvature have been carried out. Two-layer and low-Reynolds-number mathematical models of turbulence are used at effective viscosity (EVM) level and also at second-moment-closure (DSM) level. In the two-layer models the dissipation rate of turbulence in the new-wall regions is obtained from the wall distance, while in the low-Re models the transport equation for the dissipation rate is extended right up to the walls. Moreover, two length-scale correction terms to the dissipation rate of turbulence are used with the low-Re models, and original Yap term and a differential form that does not require the wall distance (NYap). The resulting predictions are compared with available flow measurements at a Reynolds number of 100,000 and a rotation number (ΩD Ubl) of 0.2 and also with heat transfer measurements at a Reynolds number of 36,000, rotation number of 0.2 and Prandtl number of 5.9 (water).Findings - While the main flow features are well reproduced by all models, the development of the mean flow within the just after the bend in better reproduced by the low-Re models. Turbulence levels within the rotation U-bend are under-predicted, but DSM models produce a more realistic distribution. Along the leading side all models over-predict heat transfer levels just after the bend. Along the trailing side, the heat transfer predictions of the fully low-Re DSM with the differential length-scale correction term NYap are close to the measurements, with an average error of around 10 per cent, though at the bend exit it rises to 25 per cent. The introduction of a differential form of the length-scale correction term to improve the heat transfer predictions of both low-Re models.Research limitations implications - The numerical models assumed that the flow remains steady and is not affected by large-scale, low frequency fluctuations. Unsteady RANS computations or LES must also be tested in the future.Originality value - This work has expanded the range of complex turbulent flow over which the effectiveness of RANS models has been tested, to internal cooling flows simultaneously affected by orthogonal rotation and strong curvature.</abstract><cop>Bradford</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/09615530610683539</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0961-5539 |
ispartof | International journal of numerical methods for heat & fluid flow, 2006-01, Vol.16 (7), p.827-844 |
issn | 0961-5539 1758-6585 |
language | eng |
recordid | cdi_proquest_miscellaneous_36269151 |
source | ABI/INFORM Global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | Approximation Cooling Flow measurement Fluid flow Heat transfer Mathematical models Reynolds number Studies Turbulence Turbulence models Turbulent flow Viscosity |
title | The computation of flow and heat transfer through an orthogonally rotating square-ended U-bend, using low-Reynolds-number models |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T15%3A26%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_emera&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20computation%20of%20flow%20and%20heat%20transfer%20through%20an%20orthogonally%20rotating%20square-ended%20U-bend,%20using%20low-Reynolds-number%20models&rft.jtitle=International%20journal%20of%20numerical%20methods%20for%20heat%20&%20fluid%20flow&rft.au=Nikas,%20Konstantinos-Stephen%20P&rft.date=2006-01-01&rft.volume=16&rft.issue=7&rft.spage=827&rft.epage=844&rft.pages=827-844&rft.issn=0961-5539&rft.eissn=1758-6585&rft.coden=INMFEM&rft_id=info:doi/10.1108/09615530610683539&rft_dat=%3Cproquest_emera%3E36269151%3C/proquest_emera%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c455t-53de28dccca101eaf1b232aba22a51627c650a42ed5640a290bc1c2f5af39b743%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=215206145&rft_id=info:pmid/&rfr_iscdi=true |