Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN
•CuFe2O4/SiO2 nanocomposites were synthesized and then, dispersed in W-EG (60:40).•Effect of T and φ on nanofluids’ ρ, µ and σ was evaluated experimentally.•Sensitivity analysis, enhanced ANN and curve fitting were employed to predict ρ, µ and σ values.•Values of density are decreased, by increasing...
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Veröffentlicht in: | International journal of heat and mass transfer 2018-12, Vol.127, p.1169-1179 |
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container_title | International journal of heat and mass transfer |
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creator | Karimipour, Arash Bagherzadeh, Seyed Amin Goodarzi, Marjan Alnaqi, Abdulwahab A. Bahiraei, Mehdi Safaei, Mohammad Reza Shadloo, Mostafa Safdari |
description | •CuFe2O4/SiO2 nanocomposites were synthesized and then, dispersed in W-EG (60:40).•Effect of T and φ on nanofluids’ ρ, µ and σ was evaluated experimentally.•Sensitivity analysis, enhanced ANN and curve fitting were employed to predict ρ, µ and σ values.•Values of density are decreased, by increasing temperature.•More temperature corresponds to mildly increase of electrical conductivity.
The new nanocomposite material of CuFe2O4 (copper ferrite) nanoparticles coated by SiO2 is synthesized. Then, this newly generated nanocomposite is dispersed in water/ethylene glycol (60:40) to make a new homogeneous nanofluid in order to avoid settling and agglomeration. Through suitable accurate experiments, density, viscosity and electrical conductivity of the mixture are measured at various temperatures and nanoparticles concentrations. Besides we empirical correlations for the same parameters developed via the curve fitting method. To have a better statistical view, the optimization procedure based on the enhanced artificial neural network (EANN), developed at present study, is performed. Furthermore, according to the obtained empirical results, the sensitivity analysis is provided and the margin of deviations is represented for each proposed correlation. Generation, stabilization and measuring the density, viscosity and electrical conductivity of the newly mentioned nanofluid, make present work different from the previous ones in this field. The highest amount of relative electrical conductivity is observed at T = 75 °C and φ = 0.02 (g/mL); however, the case of T = 30 °C and φ = 0.02 (g/mL) represents the maximum value of relative viscosity. Moreover, density is decreased by temperature augmentation, through all cases. |
doi_str_mv | 10.1016/j.ijheatmasstransfer.2018.08.112 |
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The new nanocomposite material of CuFe2O4 (copper ferrite) nanoparticles coated by SiO2 is synthesized. Then, this newly generated nanocomposite is dispersed in water/ethylene glycol (60:40) to make a new homogeneous nanofluid in order to avoid settling and agglomeration. Through suitable accurate experiments, density, viscosity and electrical conductivity of the mixture are measured at various temperatures and nanoparticles concentrations. Besides we empirical correlations for the same parameters developed via the curve fitting method. To have a better statistical view, the optimization procedure based on the enhanced artificial neural network (EANN), developed at present study, is performed. Furthermore, according to the obtained empirical results, the sensitivity analysis is provided and the margin of deviations is represented for each proposed correlation. Generation, stabilization and measuring the density, viscosity and electrical conductivity of the newly mentioned nanofluid, make present work different from the previous ones in this field. The highest amount of relative electrical conductivity is observed at T = 75 °C and φ = 0.02 (g/mL); however, the case of T = 30 °C and φ = 0.02 (g/mL) represents the maximum value of relative viscosity. Moreover, density is decreased by temperature augmentation, through all cases.</description><identifier>ISSN: 0017-9310</identifier><identifier>EISSN: 1879-2189</identifier><identifier>DOI: 10.1016/j.ijheatmasstransfer.2018.08.112</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Electrical conductivity ; Enhanced artificial neural network ; Fluid mechanics ; Mechanics ; Nanocomposites ; Physics ; Thermo-physical properties</subject><ispartof>International journal of heat and mass transfer, 2018-12, Vol.127, p.1169-1179</ispartof><rights>2018 Elsevier Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-db8e72992dab67469ab3513e419e46dba2eb633f91d885c0a9ed48463e7722c03</citedby><cites>FETCH-LOGICAL-c413t-db8e72992dab67469ab3513e419e46dba2eb633f91d885c0a9ed48463e7722c03</cites><orcidid>0000-0003-1103-3118 ; 0000-0002-0631-3046</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijheatmasstransfer.2018.08.112$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://hal.science/hal-02127855$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Karimipour, Arash</creatorcontrib><creatorcontrib>Bagherzadeh, Seyed Amin</creatorcontrib><creatorcontrib>Goodarzi, Marjan</creatorcontrib><creatorcontrib>Alnaqi, Abdulwahab A.</creatorcontrib><creatorcontrib>Bahiraei, Mehdi</creatorcontrib><creatorcontrib>Safaei, Mohammad Reza</creatorcontrib><creatorcontrib>Shadloo, Mostafa Safdari</creatorcontrib><title>Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN</title><title>International journal of heat and mass transfer</title><description>•CuFe2O4/SiO2 nanocomposites were synthesized and then, dispersed in W-EG (60:40).•Effect of T and φ on nanofluids’ ρ, µ and σ was evaluated experimentally.•Sensitivity analysis, enhanced ANN and curve fitting were employed to predict ρ, µ and σ values.•Values of density are decreased, by increasing temperature.•More temperature corresponds to mildly increase of electrical conductivity.
The new nanocomposite material of CuFe2O4 (copper ferrite) nanoparticles coated by SiO2 is synthesized. Then, this newly generated nanocomposite is dispersed in water/ethylene glycol (60:40) to make a new homogeneous nanofluid in order to avoid settling and agglomeration. Through suitable accurate experiments, density, viscosity and electrical conductivity of the mixture are measured at various temperatures and nanoparticles concentrations. Besides we empirical correlations for the same parameters developed via the curve fitting method. To have a better statistical view, the optimization procedure based on the enhanced artificial neural network (EANN), developed at present study, is performed. Furthermore, according to the obtained empirical results, the sensitivity analysis is provided and the margin of deviations is represented for each proposed correlation. Generation, stabilization and measuring the density, viscosity and electrical conductivity of the newly mentioned nanofluid, make present work different from the previous ones in this field. The highest amount of relative electrical conductivity is observed at T = 75 °C and φ = 0.02 (g/mL); however, the case of T = 30 °C and φ = 0.02 (g/mL) represents the maximum value of relative viscosity. Moreover, density is decreased by temperature augmentation, through all cases.</description><subject>Electrical conductivity</subject><subject>Enhanced artificial neural network</subject><subject>Fluid mechanics</subject><subject>Mechanics</subject><subject>Nanocomposites</subject><subject>Physics</subject><subject>Thermo-physical properties</subject><issn>0017-9310</issn><issn>1879-2189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNkcGO0zAQhi0EEmWXd_AJwSGp7aSJzYmq6u6yqraHhbM1sSeqqzSObG9ReQPeGkdFXLhwGI1m5p9vNPoJ-chZyRlvlsfSHQ8I6QQxpgBj7DGUgnFZMllyLl6RBZetKgSX6jVZMMbbQlWcvSXvYjzOJaubBfn1fBnTAaP7iZZuXu5Q7Ovls9sLOsLojT9NPrqEkYK1WZE8_QEJw3J7_5luzzC8QHJ-pL6nmTJHOPnpcInOwECn4CcMyeX1Lp-wSCOOGefOLl0ojDBkYaQf6Hb99HRL3vQwRHz_J9-Q73fbb5uHYre__7pZ7wpT8yoVtpPYCqWEha5p60ZBV614hTVXWDe2A4FdU1W94lbKlWGg0NaybipsWyEMq27Ipyv3AIOegjtBuGgPTj-sd3ruMcFFK1erM8_aL1etCT7GgP3fBc70bIM-6n9t0LMNmkmdbciIxysC809nl6fROBwNWhfQJG29-3_Yb7Rrnyw</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Karimipour, Arash</creator><creator>Bagherzadeh, Seyed Amin</creator><creator>Goodarzi, Marjan</creator><creator>Alnaqi, Abdulwahab A.</creator><creator>Bahiraei, Mehdi</creator><creator>Safaei, Mohammad Reza</creator><creator>Shadloo, Mostafa Safdari</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-1103-3118</orcidid><orcidid>https://orcid.org/0000-0002-0631-3046</orcidid></search><sort><creationdate>20181201</creationdate><title>Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN</title><author>Karimipour, Arash ; Bagherzadeh, Seyed Amin ; Goodarzi, Marjan ; Alnaqi, Abdulwahab A. ; Bahiraei, Mehdi ; Safaei, Mohammad Reza ; Shadloo, Mostafa Safdari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-db8e72992dab67469ab3513e419e46dba2eb633f91d885c0a9ed48463e7722c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Electrical conductivity</topic><topic>Enhanced artificial neural network</topic><topic>Fluid mechanics</topic><topic>Mechanics</topic><topic>Nanocomposites</topic><topic>Physics</topic><topic>Thermo-physical properties</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karimipour, Arash</creatorcontrib><creatorcontrib>Bagherzadeh, Seyed Amin</creatorcontrib><creatorcontrib>Goodarzi, Marjan</creatorcontrib><creatorcontrib>Alnaqi, Abdulwahab A.</creatorcontrib><creatorcontrib>Bahiraei, Mehdi</creatorcontrib><creatorcontrib>Safaei, Mohammad Reza</creatorcontrib><creatorcontrib>Shadloo, Mostafa Safdari</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>International journal of heat and mass transfer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karimipour, Arash</au><au>Bagherzadeh, Seyed Amin</au><au>Goodarzi, Marjan</au><au>Alnaqi, Abdulwahab A.</au><au>Bahiraei, Mehdi</au><au>Safaei, Mohammad Reza</au><au>Shadloo, Mostafa Safdari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN</atitle><jtitle>International journal of heat and mass transfer</jtitle><date>2018-12-01</date><risdate>2018</risdate><volume>127</volume><spage>1169</spage><epage>1179</epage><pages>1169-1179</pages><issn>0017-9310</issn><eissn>1879-2189</eissn><abstract>•CuFe2O4/SiO2 nanocomposites were synthesized and then, dispersed in W-EG (60:40).•Effect of T and φ on nanofluids’ ρ, µ and σ was evaluated experimentally.•Sensitivity analysis, enhanced ANN and curve fitting were employed to predict ρ, µ and σ values.•Values of density are decreased, by increasing temperature.•More temperature corresponds to mildly increase of electrical conductivity.
The new nanocomposite material of CuFe2O4 (copper ferrite) nanoparticles coated by SiO2 is synthesized. Then, this newly generated nanocomposite is dispersed in water/ethylene glycol (60:40) to make a new homogeneous nanofluid in order to avoid settling and agglomeration. Through suitable accurate experiments, density, viscosity and electrical conductivity of the mixture are measured at various temperatures and nanoparticles concentrations. Besides we empirical correlations for the same parameters developed via the curve fitting method. To have a better statistical view, the optimization procedure based on the enhanced artificial neural network (EANN), developed at present study, is performed. Furthermore, according to the obtained empirical results, the sensitivity analysis is provided and the margin of deviations is represented for each proposed correlation. Generation, stabilization and measuring the density, viscosity and electrical conductivity of the newly mentioned nanofluid, make present work different from the previous ones in this field. The highest amount of relative electrical conductivity is observed at T = 75 °C and φ = 0.02 (g/mL); however, the case of T = 30 °C and φ = 0.02 (g/mL) represents the maximum value of relative viscosity. Moreover, density is decreased by temperature augmentation, through all cases.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ijheatmasstransfer.2018.08.112</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1103-3118</orcidid><orcidid>https://orcid.org/0000-0002-0631-3046</orcidid></addata></record> |
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subjects | Electrical conductivity Enhanced artificial neural network Fluid mechanics Mechanics Nanocomposites Physics Thermo-physical properties |
title | Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN |
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