Numerical heat transfer from Al2O3/water nanofluid through square cross-sectional duct with single- and two-phase models
The high cost of producing nanofluids and setting a high-technology experimental setup have led the researchers to use numerical simulations to investigate the effects of nanofluids on heat transfer. In this study, a representative Computational Fluid Dynamics (CFD) analysis by means of ANSYS-Fluent...
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Veröffentlicht in: | Journal of thermal analysis and calorimetry 2022-12, Vol.147 (23), p.13483-13498 |
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description | The high cost of producing nanofluids and setting a high-technology experimental setup have led the researchers to use numerical simulations to investigate the effects of nanofluids on heat transfer. In this study, a representative Computational Fluid Dynamics (CFD) analysis by means of ANSYS-Fluent was performed to show the effects of Al
2
O
3
/water nanofluid on average heat transfer coefficient, for the case of flowing fluid through a square cross-sectional duct with single- and two-phase models. For 0.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was 3.35%, whereas Eulerian Mixture Model (EMM) yielded an average result that was 19.87% higher than the reference experimental results. Similarly, for 1.5% and 2.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was found to be 5.25%, %3.35, whereas the EMM yielded an average result, which was 39.59%, 49.47% higher than the reference experimental results, respectively. The comparison of the numerical results from different phase models with the reference experimental data showed that Single Phase Homogenous Model (SPHM) produced closer results to than EMM. The reason behind the high deviation rate from the reference experimental results was found to be the thermal conductivity equation. The thermal conductivity equation in the two-phase EMM was replaced with the Maxwell thermal conductivity equation. By this replacement, for EMM-II model for 0.5%, %1,5 and %2.5 Al
2
O
3
/water nanofluid, the average deviation rate from the reference experimental data was found to be 17%, 2.61% and %3.8. The reinterpreted EMM was observed to be the model that gives the closest results to the reference experimental data. |
doi_str_mv | 10.1007/s10973-022-11539-6 |
format | Article |
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2
O
3
/water nanofluid on average heat transfer coefficient, for the case of flowing fluid through a square cross-sectional duct with single- and two-phase models. For 0.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was 3.35%, whereas Eulerian Mixture Model (EMM) yielded an average result that was 19.87% higher than the reference experimental results. Similarly, for 1.5% and 2.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was found to be 5.25%, %3.35, whereas the EMM yielded an average result, which was 39.59%, 49.47% higher than the reference experimental results, respectively. The comparison of the numerical results from different phase models with the reference experimental data showed that Single Phase Homogenous Model (SPHM) produced closer results to than EMM. The reason behind the high deviation rate from the reference experimental results was found to be the thermal conductivity equation. The thermal conductivity equation in the two-phase EMM was replaced with the Maxwell thermal conductivity equation. By this replacement, for EMM-II model for 0.5%, %1,5 and %2.5 Al
2
O
3
/water nanofluid, the average deviation rate from the reference experimental data was found to be 17%, 2.61% and %3.8. The reinterpreted EMM was observed to be the model that gives the closest results to the reference experimental data.</description><identifier>ISSN: 1388-6150</identifier><identifier>EISSN: 1588-2926</identifier><identifier>DOI: 10.1007/s10973-022-11539-6</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aluminum oxide ; Analytical Chemistry ; CAD ; Chemistry ; Chemistry and Materials Science ; Computational fluid dynamics ; Computer aided design ; Cross-sections ; Deviation ; Heat conductivity ; Heat transfer ; Heat transfer coefficients ; Inorganic Chemistry ; Mathematical models ; Measurement Science and Instrumentation ; Nanofluids ; Physical Chemistry ; Polymer Sciences ; Thermal conductivity</subject><ispartof>Journal of thermal analysis and calorimetry, 2022-12, Vol.147 (23), p.13483-13498</ispartof><rights>Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c200t-3b65705c51b1eb2ec3b7c94b54fd1d2b64373c68325a6276e4ed31e0defa76b73</cites><orcidid>0000-0003-2278-2093 ; 0000-0002-7579-9799</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10973-022-11539-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10973-022-11539-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Ozgen, Filiz</creatorcontrib><creatorcontrib>Kamaci, Gurcan</creatorcontrib><title>Numerical heat transfer from Al2O3/water nanofluid through square cross-sectional duct with single- and two-phase models</title><title>Journal of thermal analysis and calorimetry</title><addtitle>J Therm Anal Calorim</addtitle><description>The high cost of producing nanofluids and setting a high-technology experimental setup have led the researchers to use numerical simulations to investigate the effects of nanofluids on heat transfer. In this study, a representative Computational Fluid Dynamics (CFD) analysis by means of ANSYS-Fluent was performed to show the effects of Al
2
O
3
/water nanofluid on average heat transfer coefficient, for the case of flowing fluid through a square cross-sectional duct with single- and two-phase models. For 0.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was 3.35%, whereas Eulerian Mixture Model (EMM) yielded an average result that was 19.87% higher than the reference experimental results. Similarly, for 1.5% and 2.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was found to be 5.25%, %3.35, whereas the EMM yielded an average result, which was 39.59%, 49.47% higher than the reference experimental results, respectively. The comparison of the numerical results from different phase models with the reference experimental data showed that Single Phase Homogenous Model (SPHM) produced closer results to than EMM. The reason behind the high deviation rate from the reference experimental results was found to be the thermal conductivity equation. The thermal conductivity equation in the two-phase EMM was replaced with the Maxwell thermal conductivity equation. By this replacement, for EMM-II model for 0.5%, %1,5 and %2.5 Al
2
O
3
/water nanofluid, the average deviation rate from the reference experimental data was found to be 17%, 2.61% and %3.8. The reinterpreted EMM was observed to be the model that gives the closest results to the reference experimental data.</description><subject>Aluminum oxide</subject><subject>Analytical Chemistry</subject><subject>CAD</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Computational fluid dynamics</subject><subject>Computer aided design</subject><subject>Cross-sections</subject><subject>Deviation</subject><subject>Heat conductivity</subject><subject>Heat transfer</subject><subject>Heat transfer coefficients</subject><subject>Inorganic Chemistry</subject><subject>Mathematical models</subject><subject>Measurement Science and Instrumentation</subject><subject>Nanofluids</subject><subject>Physical Chemistry</subject><subject>Polymer Sciences</subject><subject>Thermal conductivity</subject><issn>1388-6150</issn><issn>1588-2926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRSMEEqXwA6wssTb1I7GTZVXxkiq6gbXlOJMmVRK3tqPC3-M2SOxYjGY0uvdq5iTJPSWPlBC58JQUkmPCGKY04wUWF8mMZnmOWcHEZZx5nAXNyHVy4_2OEFIUhM6Sr_exB9ca3aEGdEDB6cHX4FDtbI-WHdvwxVGHuBj0YOtubCsUGmfHbYP8YdQOkHHWe-zBhNYOMacaTUDHNkRBO2w7wEgP0XS0eN9oD6i3FXT-Nrmqdefh7rfPk8_np4_VK15vXt5WyzU2jJCAeSkySTKT0ZJCycDwUpoiLbO0rmjFSpFyyY3IOcu0YFJAChWnQCqotRSl5PPkYcrdO3sYwQe1s6OLd3rFZEroqfKoYpPq_IyDWu1d22v3rShRJ8JqIqwiYXUmrEQ08cnko3jYgvuL_sf1A12Wf-Q</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Ozgen, Filiz</creator><creator>Kamaci, Gurcan</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-2278-2093</orcidid><orcidid>https://orcid.org/0000-0002-7579-9799</orcidid></search><sort><creationdate>20221201</creationdate><title>Numerical heat transfer from Al2O3/water nanofluid through square cross-sectional duct with single- and two-phase models</title><author>Ozgen, Filiz ; Kamaci, Gurcan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c200t-3b65705c51b1eb2ec3b7c94b54fd1d2b64373c68325a6276e4ed31e0defa76b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aluminum oxide</topic><topic>Analytical Chemistry</topic><topic>CAD</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Computational fluid dynamics</topic><topic>Computer aided design</topic><topic>Cross-sections</topic><topic>Deviation</topic><topic>Heat conductivity</topic><topic>Heat transfer</topic><topic>Heat transfer coefficients</topic><topic>Inorganic Chemistry</topic><topic>Mathematical models</topic><topic>Measurement Science and Instrumentation</topic><topic>Nanofluids</topic><topic>Physical Chemistry</topic><topic>Polymer Sciences</topic><topic>Thermal conductivity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ozgen, Filiz</creatorcontrib><creatorcontrib>Kamaci, Gurcan</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of thermal analysis and calorimetry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ozgen, Filiz</au><au>Kamaci, Gurcan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical heat transfer from Al2O3/water nanofluid through square cross-sectional duct with single- and two-phase models</atitle><jtitle>Journal of thermal analysis and calorimetry</jtitle><stitle>J Therm Anal Calorim</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>147</volume><issue>23</issue><spage>13483</spage><epage>13498</epage><pages>13483-13498</pages><issn>1388-6150</issn><eissn>1588-2926</eissn><abstract>The high cost of producing nanofluids and setting a high-technology experimental setup have led the researchers to use numerical simulations to investigate the effects of nanofluids on heat transfer. In this study, a representative Computational Fluid Dynamics (CFD) analysis by means of ANSYS-Fluent was performed to show the effects of Al
2
O
3
/water nanofluid on average heat transfer coefficient, for the case of flowing fluid through a square cross-sectional duct with single- and two-phase models. For 0.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was 3.35%, whereas Eulerian Mixture Model (EMM) yielded an average result that was 19.87% higher than the reference experimental results. Similarly, for 1.5% and 2.5% Al
2
O
3
/water nanofluid, the average deviation rate of the single-phase homogeneous model was found to be 5.25%, %3.35, whereas the EMM yielded an average result, which was 39.59%, 49.47% higher than the reference experimental results, respectively. The comparison of the numerical results from different phase models with the reference experimental data showed that Single Phase Homogenous Model (SPHM) produced closer results to than EMM. The reason behind the high deviation rate from the reference experimental results was found to be the thermal conductivity equation. The thermal conductivity equation in the two-phase EMM was replaced with the Maxwell thermal conductivity equation. By this replacement, for EMM-II model for 0.5%, %1,5 and %2.5 Al
2
O
3
/water nanofluid, the average deviation rate from the reference experimental data was found to be 17%, 2.61% and %3.8. The reinterpreted EMM was observed to be the model that gives the closest results to the reference experimental data.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10973-022-11539-6</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-2278-2093</orcidid><orcidid>https://orcid.org/0000-0002-7579-9799</orcidid></addata></record> |
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subjects | Aluminum oxide Analytical Chemistry CAD Chemistry Chemistry and Materials Science Computational fluid dynamics Computer aided design Cross-sections Deviation Heat conductivity Heat transfer Heat transfer coefficients Inorganic Chemistry Mathematical models Measurement Science and Instrumentation Nanofluids Physical Chemistry Polymer Sciences Thermal conductivity |
title | Numerical heat transfer from Al2O3/water nanofluid through square cross-sectional duct with single- and two-phase models |
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