The importance of rheology characterization in predicting turbulent pipe flow of generalized Newtonian fluids
•Including high shear data in rheology characterisation is essential in obtaining good DNS results•High shear data also improves the accuracy of empirical correlations such as Wilson-Thomas•The exact form of the rheology models plays little role in the accuracy of DNS prediction.•Rheology should be...
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Veröffentlicht in: | Journal of non-Newtonian fluid mechanics 2016-06, Vol.232, p.11-21 |
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creator | Singh, J. Rudman, M. Blackburn, H.M. Chryss, A. Pullum, L. Graham, L.J.W. |
description | •Including high shear data in rheology characterisation is essential in obtaining good DNS results•High shear data also improves the accuracy of empirical correlations such as Wilson-Thomas•The exact form of the rheology models plays little role in the accuracy of DNS prediction.•Rheology should be measured up to shear rates corresponding to twice the mean wall shear stress
Most Direct Numerical Simulation (DNS) of turbulent flow of generalized Newtonian (GN) fluids presented to date have shown significant discrepancy between experimental measurement and simulation. In addition to DNS, empirical correlations using different rheology models fitted to the same shear rheogram have also shown to give significantly different results. Important to note is that for turbulent flow predictions it is a common practice to use a shear rheogram which is measured at shear rates well below the values encountered in turbulent flows. This paper highlights the importance of obtaining high shear rate rheology in reducing these discrepancies. Further, it is shown that if high shear rate rheology is used in rheology characterisation, the choice of rheology model has little influence on the results. An important aside is that accurate prediction of laminar flow gives absolutely no confidence that a rheology model is acceptable in modelling the turbulent flow of the same fluid. From an analysis of instantaneous shear rates in the predicted turbulent flow field, the probability distribution of the non-dimensionlised shear rates in the near-wall region appears to collapse onto a universal curve. Based on this, we propose that the maximum shear rate required in rheology characterisation should be at least twice the shear rate corresponding to the mean wall shear stress. |
doi_str_mv | 10.1016/j.jnnfm.2016.03.013 |
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Most Direct Numerical Simulation (DNS) of turbulent flow of generalized Newtonian (GN) fluids presented to date have shown significant discrepancy between experimental measurement and simulation. In addition to DNS, empirical correlations using different rheology models fitted to the same shear rheogram have also shown to give significantly different results. Important to note is that for turbulent flow predictions it is a common practice to use a shear rheogram which is measured at shear rates well below the values encountered in turbulent flows. This paper highlights the importance of obtaining high shear rate rheology in reducing these discrepancies. Further, it is shown that if high shear rate rheology is used in rheology characterisation, the choice of rheology model has little influence on the results. An important aside is that accurate prediction of laminar flow gives absolutely no confidence that a rheology model is acceptable in modelling the turbulent flow of the same fluid. From an analysis of instantaneous shear rates in the predicted turbulent flow field, the probability distribution of the non-dimensionlised shear rates in the near-wall region appears to collapse onto a universal curve. Based on this, we propose that the maximum shear rate required in rheology characterisation should be at least twice the shear rate corresponding to the mean wall shear stress.</description><identifier>ISSN: 0377-0257</identifier><identifier>EISSN: 1873-2631</identifier><identifier>DOI: 10.1016/j.jnnfm.2016.03.013</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Computational fluid dynamics ; Direct numerical simulations (DNS) ; Fluid flow ; Generalized Newtonian fluid ; Mathematical models ; Rheology ; Rheology characterisation ; Shear ; Shear rate ; Turbulence ; Turbulent flow ; Turbulent pipe flow</subject><ispartof>Journal of non-Newtonian fluid mechanics, 2016-06, Vol.232, p.11-21</ispartof><rights>2016 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-4ab7ff84685e3a78ace215c7cb723b1fe7dc9d0605bc5302150c49ae7568b2383</citedby><cites>FETCH-LOGICAL-c369t-4ab7ff84685e3a78ace215c7cb723b1fe7dc9d0605bc5302150c49ae7568b2383</cites><orcidid>0000-0002-5649-4180 ; 0000-0001-9588-5136</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jnnfm.2016.03.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,782,786,3552,27931,27932,46002</link.rule.ids></links><search><creatorcontrib>Singh, J.</creatorcontrib><creatorcontrib>Rudman, M.</creatorcontrib><creatorcontrib>Blackburn, H.M.</creatorcontrib><creatorcontrib>Chryss, A.</creatorcontrib><creatorcontrib>Pullum, L.</creatorcontrib><creatorcontrib>Graham, L.J.W.</creatorcontrib><title>The importance of rheology characterization in predicting turbulent pipe flow of generalized Newtonian fluids</title><title>Journal of non-Newtonian fluid mechanics</title><description>•Including high shear data in rheology characterisation is essential in obtaining good DNS results•High shear data also improves the accuracy of empirical correlations such as Wilson-Thomas•The exact form of the rheology models plays little role in the accuracy of DNS prediction.•Rheology should be measured up to shear rates corresponding to twice the mean wall shear stress
Most Direct Numerical Simulation (DNS) of turbulent flow of generalized Newtonian (GN) fluids presented to date have shown significant discrepancy between experimental measurement and simulation. In addition to DNS, empirical correlations using different rheology models fitted to the same shear rheogram have also shown to give significantly different results. Important to note is that for turbulent flow predictions it is a common practice to use a shear rheogram which is measured at shear rates well below the values encountered in turbulent flows. This paper highlights the importance of obtaining high shear rate rheology in reducing these discrepancies. Further, it is shown that if high shear rate rheology is used in rheology characterisation, the choice of rheology model has little influence on the results. An important aside is that accurate prediction of laminar flow gives absolutely no confidence that a rheology model is acceptable in modelling the turbulent flow of the same fluid. From an analysis of instantaneous shear rates in the predicted turbulent flow field, the probability distribution of the non-dimensionlised shear rates in the near-wall region appears to collapse onto a universal curve. Based on this, we propose that the maximum shear rate required in rheology characterisation should be at least twice the shear rate corresponding to the mean wall shear stress.</description><subject>Computational fluid dynamics</subject><subject>Direct numerical simulations (DNS)</subject><subject>Fluid flow</subject><subject>Generalized Newtonian fluid</subject><subject>Mathematical models</subject><subject>Rheology</subject><subject>Rheology characterisation</subject><subject>Shear</subject><subject>Shear rate</subject><subject>Turbulence</subject><subject>Turbulent flow</subject><subject>Turbulent pipe flow</subject><issn>0377-0257</issn><issn>1873-2631</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkT1PwzAQhi0EEuXjF7B4ZEmw49pOBwZU8SUhWMpsOc6ldZXYwXZA8OtxKTPiltPpfZ-T7l6ELigpKaHialtuneuGsspDSVhJKDtAM1pLVlSC0UM0I0zKglRcHqOTGLckF2dihobVBrAdRh-Sdgaw73DYgO_9-hObjQ7aJAj2SyfrHbYOjwFaa5J1a5ym0Ew9uIRHOwLuev-xw9fgIOjefkGLn-EjeWe1y-pk23iGjjrdRzj_7afo9e52tXwonl7uH5c3T4VhYpGKuW5k19VzUXNgWtbaQEW5kaaRFWtoB7I1i5YIwhvDGckaMfOFBslF3VSsZqfocr93DP5tgpjUYKOBvtcO_BQVrSs-F4Lz_1hJLQljgmQr21tN8DEG6NQY7KDDp6JE7XJQW_WTg9rloAhTOYdMXe8pyAe_WwgqGgv5160NYJJqvf2T_wb-VpQP</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Singh, J.</creator><creator>Rudman, M.</creator><creator>Blackburn, H.M.</creator><creator>Chryss, A.</creator><creator>Pullum, L.</creator><creator>Graham, L.J.W.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>KL.</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-5649-4180</orcidid><orcidid>https://orcid.org/0000-0001-9588-5136</orcidid></search><sort><creationdate>201606</creationdate><title>The importance of rheology characterization in predicting turbulent pipe flow of generalized Newtonian fluids</title><author>Singh, J. ; Rudman, M. ; Blackburn, H.M. ; Chryss, A. ; Pullum, L. ; Graham, L.J.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-4ab7ff84685e3a78ace215c7cb723b1fe7dc9d0605bc5302150c49ae7568b2383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computational fluid dynamics</topic><topic>Direct numerical simulations (DNS)</topic><topic>Fluid flow</topic><topic>Generalized Newtonian fluid</topic><topic>Mathematical models</topic><topic>Rheology</topic><topic>Rheology characterisation</topic><topic>Shear</topic><topic>Shear rate</topic><topic>Turbulence</topic><topic>Turbulent flow</topic><topic>Turbulent pipe flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singh, J.</creatorcontrib><creatorcontrib>Rudman, M.</creatorcontrib><creatorcontrib>Blackburn, H.M.</creatorcontrib><creatorcontrib>Chryss, A.</creatorcontrib><creatorcontrib>Pullum, L.</creatorcontrib><creatorcontrib>Graham, L.J.W.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of non-Newtonian fluid mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singh, J.</au><au>Rudman, M.</au><au>Blackburn, H.M.</au><au>Chryss, A.</au><au>Pullum, L.</au><au>Graham, L.J.W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The importance of rheology characterization in predicting turbulent pipe flow of generalized Newtonian fluids</atitle><jtitle>Journal of non-Newtonian fluid mechanics</jtitle><date>2016-06</date><risdate>2016</risdate><volume>232</volume><spage>11</spage><epage>21</epage><pages>11-21</pages><issn>0377-0257</issn><eissn>1873-2631</eissn><abstract>•Including high shear data in rheology characterisation is essential in obtaining good DNS results•High shear data also improves the accuracy of empirical correlations such as Wilson-Thomas•The exact form of the rheology models plays little role in the accuracy of DNS prediction.•Rheology should be measured up to shear rates corresponding to twice the mean wall shear stress
Most Direct Numerical Simulation (DNS) of turbulent flow of generalized Newtonian (GN) fluids presented to date have shown significant discrepancy between experimental measurement and simulation. In addition to DNS, empirical correlations using different rheology models fitted to the same shear rheogram have also shown to give significantly different results. Important to note is that for turbulent flow predictions it is a common practice to use a shear rheogram which is measured at shear rates well below the values encountered in turbulent flows. This paper highlights the importance of obtaining high shear rate rheology in reducing these discrepancies. Further, it is shown that if high shear rate rheology is used in rheology characterisation, the choice of rheology model has little influence on the results. An important aside is that accurate prediction of laminar flow gives absolutely no confidence that a rheology model is acceptable in modelling the turbulent flow of the same fluid. From an analysis of instantaneous shear rates in the predicted turbulent flow field, the probability distribution of the non-dimensionlised shear rates in the near-wall region appears to collapse onto a universal curve. Based on this, we propose that the maximum shear rate required in rheology characterisation should be at least twice the shear rate corresponding to the mean wall shear stress.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jnnfm.2016.03.013</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-5649-4180</orcidid><orcidid>https://orcid.org/0000-0001-9588-5136</orcidid></addata></record> |
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subjects | Computational fluid dynamics Direct numerical simulations (DNS) Fluid flow Generalized Newtonian fluid Mathematical models Rheology Rheology characterisation Shear Shear rate Turbulence Turbulent flow Turbulent pipe flow |
title | The importance of rheology characterization in predicting turbulent pipe flow of generalized Newtonian fluids |
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