Optimization and sensitivity analysis of rheological properties of high concentration γ‐alumina/water suspension
In this study, a high concentration γ‐alumina/water suspension containing 75% (wt) γ‐alumina nanoparticle was prepared by using a 3D‐mixer. TEM imaging, Dynamic Light Scattering (DLS), and X‐Ray Diffraction (XRD) analyses were used to investigate the stability of nanoparticles in the base fluid, pur...
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| Veröffentlicht in: | International journal of applied ceramic technology 2021-03, Vol.18 (2), p.369-383 |
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| creator | Nouri, Mohammad Javad Karimi Darvanjooghi, Mohammad Hossein Moheb, Ahmad |
| description | In this study, a high concentration γ‐alumina/water suspension containing 75% (wt) γ‐alumina nanoparticle was prepared by using a 3D‐mixer. TEM imaging, Dynamic Light Scattering (DLS), and X‐Ray Diffraction (XRD) analyses were used to investigate the stability of nanoparticles in the base fluid, purity, and crystallinity as well as chemical structure of nanoparticles, respectively. Then, the variation of dynamic viscosity and rheological behavior of the suspension and their dependency on pH, sonication durations, dispersing agent concentrations, and ratios of ceramic balls to nanoparticles weight was studied. The results showed that the rheological behavior of the suspension was similar to non‐Newtonian fluids, and a power‐law model with yield stress was able to justify this behavior. Moreover a correlation, including pH, sonication time, dispersing agent concentration, and the ratio of ceramic balls to nanoparticles weight as independent parameters, was developed to predict the power of the power‐law model. The model showed a low deviation, about 5%, from the experimental values and revealed the significant effect of pH, sonication time, and the ratio of mixing ceramic balls to nanoparticles on the rheological behavior of the suspension. More importantly, by implementing the method used in this work, a very low dynamic viscosity of 11.4 mPa.s was achieved.
While using a 3D‐mixer, there are parameters influencing the rheological behavior and stability of nano alumina suspensions such as mixing time, size of ceramic balls, the weight ratio of nano‐particles to ceramic balls (N/B ratio), suspension pH, amount of dispersing agent, and sonication time can be noted. TEM imaging, dynamic light scattering (DLS), and X‐ray diffraction (XRD) analyses can be employed to evaluate the stability of nanoparticles in the base fluid, and purity and crystallinity of nanoparticles, respectively. An empirical correlation can be developed to correlate the rheological behavior of the high concentration nanofluid by considering pH, sonication time, dispersing agent concentration, and N/B ratio as independent variables. |
| doi_str_mv | 10.1111/ijac.13649 |
| format | Article |
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While using a 3D‐mixer, there are parameters influencing the rheological behavior and stability of nano alumina suspensions such as mixing time, size of ceramic balls, the weight ratio of nano‐particles to ceramic balls (N/B ratio), suspension pH, amount of dispersing agent, and sonication time can be noted. TEM imaging, dynamic light scattering (DLS), and X‐ray diffraction (XRD) analyses can be employed to evaluate the stability of nanoparticles in the base fluid, and purity and crystallinity of nanoparticles, respectively. An empirical correlation can be developed to correlate the rheological behavior of the high concentration nanofluid by considering pH, sonication time, dispersing agent concentration, and N/B ratio as independent variables.</description><identifier>ISSN: 1546-542X</identifier><identifier>EISSN: 1744-7402</identifier><identifier>DOI: 10.1111/ijac.13649</identifier><language>eng</language><publisher>Malden: Wiley Subscription Services, Inc</publisher><subject>alumina suspension ; Aluminum oxide ; Ceramics ; Computational fluid dynamics ; Dispersion ; dynamic viscosity ; empirical correlation ; Nanoparticles ; Newtonian fluids ; Optimization ; Photon correlation spectroscopy ; power‐law model ; Rheological properties ; Rheology ; Sensitivity analysis ; Stability analysis ; suspension rheology ; Viscosity ; Weight ; Yield stress</subject><ispartof>International journal of applied ceramic technology, 2021-03, Vol.18 (2), p.369-383</ispartof><rights>2020 The American Ceramic Society</rights><rights>Copyright © 2021 American Ceramic Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3019-d0ccd155906c4d52e9bc656ed5e3db0b717002aed7dcc26670e55ae30ac872373</citedby><cites>FETCH-LOGICAL-c3019-d0ccd155906c4d52e9bc656ed5e3db0b717002aed7dcc26670e55ae30ac872373</cites><orcidid>0000-0002-2097-5011</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijac.13649$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijac.13649$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Nouri, Mohammad Javad</creatorcontrib><creatorcontrib>Karimi Darvanjooghi, Mohammad Hossein</creatorcontrib><creatorcontrib>Moheb, Ahmad</creatorcontrib><title>Optimization and sensitivity analysis of rheological properties of high concentration γ‐alumina/water suspension</title><title>International journal of applied ceramic technology</title><description>In this study, a high concentration γ‐alumina/water suspension containing 75% (wt) γ‐alumina nanoparticle was prepared by using a 3D‐mixer. TEM imaging, Dynamic Light Scattering (DLS), and X‐Ray Diffraction (XRD) analyses were used to investigate the stability of nanoparticles in the base fluid, purity, and crystallinity as well as chemical structure of nanoparticles, respectively. Then, the variation of dynamic viscosity and rheological behavior of the suspension and their dependency on pH, sonication durations, dispersing agent concentrations, and ratios of ceramic balls to nanoparticles weight was studied. The results showed that the rheological behavior of the suspension was similar to non‐Newtonian fluids, and a power‐law model with yield stress was able to justify this behavior. Moreover a correlation, including pH, sonication time, dispersing agent concentration, and the ratio of ceramic balls to nanoparticles weight as independent parameters, was developed to predict the power of the power‐law model. The model showed a low deviation, about 5%, from the experimental values and revealed the significant effect of pH, sonication time, and the ratio of mixing ceramic balls to nanoparticles on the rheological behavior of the suspension. More importantly, by implementing the method used in this work, a very low dynamic viscosity of 11.4 mPa.s was achieved.
While using a 3D‐mixer, there are parameters influencing the rheological behavior and stability of nano alumina suspensions such as mixing time, size of ceramic balls, the weight ratio of nano‐particles to ceramic balls (N/B ratio), suspension pH, amount of dispersing agent, and sonication time can be noted. TEM imaging, dynamic light scattering (DLS), and X‐ray diffraction (XRD) analyses can be employed to evaluate the stability of nanoparticles in the base fluid, and purity and crystallinity of nanoparticles, respectively. An empirical correlation can be developed to correlate the rheological behavior of the high concentration nanofluid by considering pH, sonication time, dispersing agent concentration, and N/B ratio as independent variables.</description><subject>alumina suspension</subject><subject>Aluminum oxide</subject><subject>Ceramics</subject><subject>Computational fluid dynamics</subject><subject>Dispersion</subject><subject>dynamic viscosity</subject><subject>empirical correlation</subject><subject>Nanoparticles</subject><subject>Newtonian fluids</subject><subject>Optimization</subject><subject>Photon correlation spectroscopy</subject><subject>power‐law model</subject><subject>Rheological properties</subject><subject>Rheology</subject><subject>Sensitivity analysis</subject><subject>Stability analysis</subject><subject>suspension rheology</subject><subject>Viscosity</subject><subject>Weight</subject><subject>Yield stress</subject><issn>1546-542X</issn><issn>1744-7402</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kEtOwzAQhi0EEqWw4QSR2CGlteNXs6wqHkWVugGJneXabusqjYPtgsKKI3AX7sEhOAluw5rZzIzmm18zPwCXCA5QiqHdSDVAmJHyCPQQJyTnBBbHqaaE5ZQUz6fgLIQNhJhgzHogzJtot_ZdRuvqTNY6C6YONtpXG9vUy6oNNmRumfm1cZVbWSWrrPGuMT5ac5is7WqdKVcrU0ffCX1__Xx8ymq3tbUcvslofBZ2odlLu_ocnCxlFczFX-6Dp9ubx8l9PpvfTSfjWa4wRGWuoVIaUVpCpoimhSkXilFmNDVYL-CCIw5hIY3mWqmCMQ4NpdJgKNWIF5jjPrjqdNO5LzsToti4nU8vBVGQEYOJQjhR1x2lvAvBm6VovN1K3woExd5UsTdVHExNMOrgN1uZ9h9STB_Gk27nFx0Qfpo</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Nouri, Mohammad Javad</creator><creator>Karimi Darvanjooghi, Mohammad Hossein</creator><creator>Moheb, Ahmad</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0002-2097-5011</orcidid></search><sort><creationdate>202103</creationdate><title>Optimization and sensitivity analysis of rheological properties of high concentration γ‐alumina/water suspension</title><author>Nouri, Mohammad Javad ; Karimi Darvanjooghi, Mohammad Hossein ; Moheb, Ahmad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3019-d0ccd155906c4d52e9bc656ed5e3db0b717002aed7dcc26670e55ae30ac872373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>alumina suspension</topic><topic>Aluminum oxide</topic><topic>Ceramics</topic><topic>Computational fluid dynamics</topic><topic>Dispersion</topic><topic>dynamic viscosity</topic><topic>empirical correlation</topic><topic>Nanoparticles</topic><topic>Newtonian fluids</topic><topic>Optimization</topic><topic>Photon correlation spectroscopy</topic><topic>power‐law model</topic><topic>Rheological properties</topic><topic>Rheology</topic><topic>Sensitivity analysis</topic><topic>Stability analysis</topic><topic>suspension rheology</topic><topic>Viscosity</topic><topic>Weight</topic><topic>Yield stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nouri, Mohammad Javad</creatorcontrib><creatorcontrib>Karimi Darvanjooghi, Mohammad Hossein</creatorcontrib><creatorcontrib>Moheb, Ahmad</creatorcontrib><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>International journal of applied ceramic technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nouri, Mohammad Javad</au><au>Karimi Darvanjooghi, Mohammad Hossein</au><au>Moheb, Ahmad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization and sensitivity analysis of rheological properties of high concentration γ‐alumina/water suspension</atitle><jtitle>International journal of applied ceramic technology</jtitle><date>2021-03</date><risdate>2021</risdate><volume>18</volume><issue>2</issue><spage>369</spage><epage>383</epage><pages>369-383</pages><issn>1546-542X</issn><eissn>1744-7402</eissn><abstract>In this study, a high concentration γ‐alumina/water suspension containing 75% (wt) γ‐alumina nanoparticle was prepared by using a 3D‐mixer. TEM imaging, Dynamic Light Scattering (DLS), and X‐Ray Diffraction (XRD) analyses were used to investigate the stability of nanoparticles in the base fluid, purity, and crystallinity as well as chemical structure of nanoparticles, respectively. Then, the variation of dynamic viscosity and rheological behavior of the suspension and their dependency on pH, sonication durations, dispersing agent concentrations, and ratios of ceramic balls to nanoparticles weight was studied. The results showed that the rheological behavior of the suspension was similar to non‐Newtonian fluids, and a power‐law model with yield stress was able to justify this behavior. Moreover a correlation, including pH, sonication time, dispersing agent concentration, and the ratio of ceramic balls to nanoparticles weight as independent parameters, was developed to predict the power of the power‐law model. The model showed a low deviation, about 5%, from the experimental values and revealed the significant effect of pH, sonication time, and the ratio of mixing ceramic balls to nanoparticles on the rheological behavior of the suspension. More importantly, by implementing the method used in this work, a very low dynamic viscosity of 11.4 mPa.s was achieved.
While using a 3D‐mixer, there are parameters influencing the rheological behavior and stability of nano alumina suspensions such as mixing time, size of ceramic balls, the weight ratio of nano‐particles to ceramic balls (N/B ratio), suspension pH, amount of dispersing agent, and sonication time can be noted. TEM imaging, dynamic light scattering (DLS), and X‐ray diffraction (XRD) analyses can be employed to evaluate the stability of nanoparticles in the base fluid, and purity and crystallinity of nanoparticles, respectively. An empirical correlation can be developed to correlate the rheological behavior of the high concentration nanofluid by considering pH, sonication time, dispersing agent concentration, and N/B ratio as independent variables.</abstract><cop>Malden</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/ijac.13649</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-2097-5011</orcidid></addata></record> |
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| subjects | alumina suspension Aluminum oxide Ceramics Computational fluid dynamics Dispersion dynamic viscosity empirical correlation Nanoparticles Newtonian fluids Optimization Photon correlation spectroscopy power‐law model Rheological properties Rheology Sensitivity analysis Stability analysis suspension rheology Viscosity Weight Yield stress |
| title | Optimization and sensitivity analysis of rheological properties of high concentration γ‐alumina/water suspension |
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