Rheological characterization of flow inception of thixotropic yield stress fluids using vane and T-bar geometries
In this work, two geometries are studied, the vane and the T-bar, which are best suited for assessing the start-up flow of thixotropic yield stress fluids because they minimize the sample disturbance. Based on step-shear measurements with the vane geometry at different angular velocities and on a wi...
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Veröffentlicht in: | Rheologica acta 2021-09, Vol.60 (9), p.531-542 |
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description | In this work, two geometries are studied, the vane and the T-bar, which are best suited for assessing the start-up flow of thixotropic yield stress fluids because they minimize the sample disturbance. Based on step-shear measurements with the vane geometry at different angular velocities and on a wide range of products, mostly commercial toothpastes, we calculate the torque on the T-bar using computational fluid dynamics (CFD). The results are compared to the previously suggested approximate theory by Anderson and Meeten (AMT) and extensive original experiments. It turns out that the agreement between CFD, AMT, and the experimental data depends primarily on the shape of the flow curve which may be quantified by the fluid flow index,
N
, defined in the shear rate range which represents the flow around the rotating rod of the T-bar. While the CFD and AMT predictions agree well with each other (R
2
= 0.98), they both underestimate the experimental data although the experimental-to-predicted ratio also correlates to
N
(R
2
= 0.84) going up from 1 to around 2 as
N
increases from 0.1 to 0.5. This suggests that when using the T-bar for viscosity measurements, the user needs to take into account the flow index to which end a simple estimate of the effective shear rate is suggested also being a function of
N
. |
doi_str_mv | 10.1007/s00397-021-01282-4 |
format | Article |
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N
, defined in the shear rate range which represents the flow around the rotating rod of the T-bar. While the CFD and AMT predictions agree well with each other (R
2
= 0.98), they both underestimate the experimental data although the experimental-to-predicted ratio also correlates to
N
(R
2
= 0.84) going up from 1 to around 2 as
N
increases from 0.1 to 0.5. This suggests that when using the T-bar for viscosity measurements, the user needs to take into account the flow index to which end a simple estimate of the effective shear rate is suggested also being a function of
N
.</description><identifier>ISSN: 0035-4511</identifier><identifier>EISSN: 1435-1528</identifier><identifier>DOI: 10.1007/s00397-021-01282-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Angular velocity ; Characterization and Evaluation of Materials ; Chemistry and Materials Science ; Complex Fluids and Microfluidics ; Computational fluid dynamics ; Fluid flow ; Food Science ; Materials Science ; Mechanical Engineering ; Original Contribution ; Polymer Sciences ; Rheological properties ; Sample disturbance ; Shear rate ; Soft and Granular Matter ; Toothpaste ; Viscosity measurement ; Yield strength ; Yield stress</subject><ispartof>Rheologica acta, 2021-09, Vol.60 (9), p.531-542</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-f0c5500fd806b000b06db965f683648842b693acce0dd55cc4d1b7f7976dbb743</citedby><cites>FETCH-LOGICAL-c249t-f0c5500fd806b000b06db965f683648842b693acce0dd55cc4d1b7f7976dbb743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00397-021-01282-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00397-021-01282-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Teoman, Baran</creatorcontrib><creatorcontrib>Marron, Greggory</creatorcontrib><creatorcontrib>Potanin, Andrei</creatorcontrib><title>Rheological characterization of flow inception of thixotropic yield stress fluids using vane and T-bar geometries</title><title>Rheologica acta</title><addtitle>Rheol Acta</addtitle><description>In this work, two geometries are studied, the vane and the T-bar, which are best suited for assessing the start-up flow of thixotropic yield stress fluids because they minimize the sample disturbance. Based on step-shear measurements with the vane geometry at different angular velocities and on a wide range of products, mostly commercial toothpastes, we calculate the torque on the T-bar using computational fluid dynamics (CFD). The results are compared to the previously suggested approximate theory by Anderson and Meeten (AMT) and extensive original experiments. It turns out that the agreement between CFD, AMT, and the experimental data depends primarily on the shape of the flow curve which may be quantified by the fluid flow index,
N
, defined in the shear rate range which represents the flow around the rotating rod of the T-bar. While the CFD and AMT predictions agree well with each other (R
2
= 0.98), they both underestimate the experimental data although the experimental-to-predicted ratio also correlates to
N
(R
2
= 0.84) going up from 1 to around 2 as
N
increases from 0.1 to 0.5. This suggests that when using the T-bar for viscosity measurements, the user needs to take into account the flow index to which end a simple estimate of the effective shear rate is suggested also being a function of
N
.</description><subject>Angular velocity</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Complex Fluids and Microfluidics</subject><subject>Computational fluid dynamics</subject><subject>Fluid flow</subject><subject>Food Science</subject><subject>Materials Science</subject><subject>Mechanical Engineering</subject><subject>Original Contribution</subject><subject>Polymer Sciences</subject><subject>Rheological properties</subject><subject>Sample disturbance</subject><subject>Shear rate</subject><subject>Soft and Granular Matter</subject><subject>Toothpaste</subject><subject>Viscosity measurement</subject><subject>Yield strength</subject><subject>Yield stress</subject><issn>0035-4511</issn><issn>1435-1528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz9FJmvTjKItfsCDIeg5pknazdJtu0qrrr7drFW-eBmae9x14ELqkcE0BspsIkBQZAUYJUJYzwo_QjPJEECpYfoxm410QLig9RWcxbgBolmZshnYva-sbXzutGqzXKijd2-A-Ve98i32Fq8a_Y9dq2_1u-rX78H3wndN472xjcOyDjXFEB2ciHqJra_ymWotVa_CKlCrg2vqt7YOz8RydVKqJ9uJnztHr_d1q8UiWzw9Pi9sl0YwXPalACwFQmRzSEgBKSE1ZpKJK8yTlec5ZmRaJ0tqCMUJozQ0tsyorspErM57M0dXU2wW_G2zs5cYPoR1fSiZEkfAUaD5SbKJ08DEGW8kuuK0Ke0lBHtTKSa0c1cpvtfJQnUyhOMJtbcNf9T-pLyrIfeI</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Teoman, Baran</creator><creator>Marron, Greggory</creator><creator>Potanin, Andrei</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20210901</creationdate><title>Rheological characterization of flow inception of thixotropic yield stress fluids using vane and T-bar geometries</title><author>Teoman, Baran ; Marron, Greggory ; Potanin, Andrei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-f0c5500fd806b000b06db965f683648842b693acce0dd55cc4d1b7f7976dbb743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Angular velocity</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry and Materials Science</topic><topic>Complex Fluids and Microfluidics</topic><topic>Computational fluid dynamics</topic><topic>Fluid flow</topic><topic>Food Science</topic><topic>Materials Science</topic><topic>Mechanical Engineering</topic><topic>Original Contribution</topic><topic>Polymer Sciences</topic><topic>Rheological properties</topic><topic>Sample disturbance</topic><topic>Shear rate</topic><topic>Soft and Granular Matter</topic><topic>Toothpaste</topic><topic>Viscosity measurement</topic><topic>Yield strength</topic><topic>Yield stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Teoman, Baran</creatorcontrib><creatorcontrib>Marron, Greggory</creatorcontrib><creatorcontrib>Potanin, Andrei</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><jtitle>Rheologica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Teoman, Baran</au><au>Marron, Greggory</au><au>Potanin, Andrei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rheological characterization of flow inception of thixotropic yield stress fluids using vane and T-bar geometries</atitle><jtitle>Rheologica acta</jtitle><stitle>Rheol Acta</stitle><date>2021-09-01</date><risdate>2021</risdate><volume>60</volume><issue>9</issue><spage>531</spage><epage>542</epage><pages>531-542</pages><issn>0035-4511</issn><eissn>1435-1528</eissn><abstract>In this work, two geometries are studied, the vane and the T-bar, which are best suited for assessing the start-up flow of thixotropic yield stress fluids because they minimize the sample disturbance. Based on step-shear measurements with the vane geometry at different angular velocities and on a wide range of products, mostly commercial toothpastes, we calculate the torque on the T-bar using computational fluid dynamics (CFD). The results are compared to the previously suggested approximate theory by Anderson and Meeten (AMT) and extensive original experiments. It turns out that the agreement between CFD, AMT, and the experimental data depends primarily on the shape of the flow curve which may be quantified by the fluid flow index,
N
, defined in the shear rate range which represents the flow around the rotating rod of the T-bar. While the CFD and AMT predictions agree well with each other (R
2
= 0.98), they both underestimate the experimental data although the experimental-to-predicted ratio also correlates to
N
(R
2
= 0.84) going up from 1 to around 2 as
N
increases from 0.1 to 0.5. This suggests that when using the T-bar for viscosity measurements, the user needs to take into account the flow index to which end a simple estimate of the effective shear rate is suggested also being a function of
N
.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00397-021-01282-4</doi><tpages>12</tpages></addata></record> |
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subjects | Angular velocity Characterization and Evaluation of Materials Chemistry and Materials Science Complex Fluids and Microfluidics Computational fluid dynamics Fluid flow Food Science Materials Science Mechanical Engineering Original Contribution Polymer Sciences Rheological properties Sample disturbance Shear rate Soft and Granular Matter Toothpaste Viscosity measurement Yield strength Yield stress |
title | Rheological characterization of flow inception of thixotropic yield stress fluids using vane and T-bar geometries |
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