Multi-phase lattice Boltzmann (LB) simulation for convective transport of nanofluids in porous structures with phase interactions
Purpose A combination of highly conductive porous media and nanofluids is an efficient way for improving thermal performance of relevant applications. For precisely predicting the flow and thermal transport of nanofluids in porous media, the purpose of this paper is to explore the inter-phase coupli...
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Veröffentlicht in: | International journal of numerical methods for heat & fluid flow 2021-08, Vol.31 (8), p.2754-2788 |
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container_title | International journal of numerical methods for heat & fluid flow |
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creator | Xing, Z.B. Han, Xingchao Ke, Hanbing Zhang, Q.G. Zhang, Zhiping Xu, Huijin Wang, Fuqiang |
description | Purpose
A combination of highly conductive porous media and nanofluids is an efficient way for improving thermal performance of relevant applications. For precisely predicting the flow and thermal transport of nanofluids in porous media, the purpose of this paper is to explore the inter-phase coupling numerical methods.
Design/methodology/approach
Based on the lattice Boltzmann (LB) method, this study combines the convective flow, non-equilibrium thermal transport and phase interactions of nanofluids in porous matrix and proposes a new multi-phase LB model. The micro-scale momentum and heat interactions are especially analyzed for nanoparticles, base fluid and solid matrix. A set of three-phase LB equations for the flow/thermal coupling of base fluid, nanoparticles and solid matrix is established.
Findings
Distributions of nanoparticles, velocities for nanoparticles and the base fluid, temperatures for three phases and interaction forces are analyzed in detail. Influences of parameters on the nanofluid convection in the porous matrix are examined. Thermal resistance of nanofluid convective transport in porous structures are comprehensively discussed with the models of multi-phases. Results show that the Rayleigh number and the Darcy number have significant influences on the convective characteristics. The result with the three-phase model is mildly larger than that with the local thermal non-equilibrium model.
Originality/value
This paper first creates the multi-phase theoretical model for the complex coupling process of nanofluids in porous structures, which is useful for researchers and technicians in fields of thermal science and computational fluid dynamics. |
doi_str_mv | 10.1108/HFF-07-2020-0481 |
format | Article |
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A combination of highly conductive porous media and nanofluids is an efficient way for improving thermal performance of relevant applications. For precisely predicting the flow and thermal transport of nanofluids in porous media, the purpose of this paper is to explore the inter-phase coupling numerical methods.
Design/methodology/approach
Based on the lattice Boltzmann (LB) method, this study combines the convective flow, non-equilibrium thermal transport and phase interactions of nanofluids in porous matrix and proposes a new multi-phase LB model. The micro-scale momentum and heat interactions are especially analyzed for nanoparticles, base fluid and solid matrix. A set of three-phase LB equations for the flow/thermal coupling of base fluid, nanoparticles and solid matrix is established.
Findings
Distributions of nanoparticles, velocities for nanoparticles and the base fluid, temperatures for three phases and interaction forces are analyzed in detail. Influences of parameters on the nanofluid convection in the porous matrix are examined. Thermal resistance of nanofluid convective transport in porous structures are comprehensively discussed with the models of multi-phases. Results show that the Rayleigh number and the Darcy number have significant influences on the convective characteristics. The result with the three-phase model is mildly larger than that with the local thermal non-equilibrium model.
Originality/value
This paper first creates the multi-phase theoretical model for the complex coupling process of nanofluids in porous structures, which is useful for researchers and technicians in fields of thermal science and computational fluid dynamics.</description><identifier>ISSN: 0961-5539</identifier><identifier>EISSN: 0961-5539</identifier><identifier>EISSN: 1758-6585</identifier><identifier>DOI: 10.1108/HFF-07-2020-0481</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Computational fluid dynamics ; Convection ; Convective flow ; Darcy number ; Energy storage ; Equilibrium ; Fluid dynamics ; Heat conductivity ; Heat exchangers ; Heat transfer ; Hydrodynamics ; Investigations ; Metals ; Momentum ; Multiphase ; Nanofluids ; Nanoparticles ; Numerical methods ; Porous materials ; Porous media ; Structures ; Technicians ; Thermal coupling ; Thermal resistance ; Transport ; Viscosity</subject><ispartof>International journal of numerical methods for heat & fluid flow, 2021-08, Vol.31 (8), p.2754-2788</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c311t-10b80b4da6a11582eb09120edc165a41bc597657c9b60295779a07347d122dd23</citedby><cites>FETCH-LOGICAL-c311t-10b80b4da6a11582eb09120edc165a41bc597657c9b60295779a07347d122dd23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/HFF-07-2020-0481/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,967,11635,27924,27925,52689</link.rule.ids></links><search><creatorcontrib>Xing, Z.B.</creatorcontrib><creatorcontrib>Han, Xingchao</creatorcontrib><creatorcontrib>Ke, Hanbing</creatorcontrib><creatorcontrib>Zhang, Q.G.</creatorcontrib><creatorcontrib>Zhang, Zhiping</creatorcontrib><creatorcontrib>Xu, Huijin</creatorcontrib><creatorcontrib>Wang, Fuqiang</creatorcontrib><title>Multi-phase lattice Boltzmann (LB) simulation for convective transport of nanofluids in porous structures with phase interactions</title><title>International journal of numerical methods for heat & fluid flow</title><description>Purpose
A combination of highly conductive porous media and nanofluids is an efficient way for improving thermal performance of relevant applications. For precisely predicting the flow and thermal transport of nanofluids in porous media, the purpose of this paper is to explore the inter-phase coupling numerical methods.
Design/methodology/approach
Based on the lattice Boltzmann (LB) method, this study combines the convective flow, non-equilibrium thermal transport and phase interactions of nanofluids in porous matrix and proposes a new multi-phase LB model. The micro-scale momentum and heat interactions are especially analyzed for nanoparticles, base fluid and solid matrix. A set of three-phase LB equations for the flow/thermal coupling of base fluid, nanoparticles and solid matrix is established.
Findings
Distributions of nanoparticles, velocities for nanoparticles and the base fluid, temperatures for three phases and interaction forces are analyzed in detail. Influences of parameters on the nanofluid convection in the porous matrix are examined. Thermal resistance of nanofluid convective transport in porous structures are comprehensively discussed with the models of multi-phases. Results show that the Rayleigh number and the Darcy number have significant influences on the convective characteristics. The result with the three-phase model is mildly larger than that with the local thermal non-equilibrium model.
Originality/value
This paper first creates the multi-phase theoretical model for the complex coupling process of nanofluids in porous structures, which is useful for researchers and technicians in fields of thermal science and computational fluid dynamics.</description><subject>Computational fluid dynamics</subject><subject>Convection</subject><subject>Convective flow</subject><subject>Darcy number</subject><subject>Energy storage</subject><subject>Equilibrium</subject><subject>Fluid dynamics</subject><subject>Heat conductivity</subject><subject>Heat exchangers</subject><subject>Heat transfer</subject><subject>Hydrodynamics</subject><subject>Investigations</subject><subject>Metals</subject><subject>Momentum</subject><subject>Multiphase</subject><subject>Nanofluids</subject><subject>Nanoparticles</subject><subject>Numerical methods</subject><subject>Porous materials</subject><subject>Porous media</subject><subject>Structures</subject><subject>Technicians</subject><subject>Thermal coupling</subject><subject>Thermal resistance</subject><subject>Transport</subject><subject>Viscosity</subject><issn>0961-5539</issn><issn>0961-5539</issn><issn>1758-6585</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptUT1PwzAQjRBIlMLOaIkFhtCzEyfxSCtKkYpYYLYcx1FdJXawnSLY-OckCgNITHe6ex-6d1F0ieEWYygWm_U6hjwmQCCGtMBH0QxYhmNKE3b8qz-NzrzfAwDN0mwWfT31TdBxtxNeoUaEoKVCS9uEz1YYg663yxvkddsPK20Nqq1D0pqDkkEfFApOGN9ZF5CtkRHG1k2vK4-0QcPU9h754HoZeqc8etdhhyYjbYJyQo6S_jw6qUXj1cVPnUev6_uX1SbePj88ru62sUwwDjGGsoAyrUQmMKYFUSUwTEBVEmdUpLiUlOUZzSUrMyCM5jkTkCdpXmFCqook8-hq0u2cfeuVD3xve2cGS04ySikwRvGAggklnfXeqZp3TrfCfXAMfAyaD0FzyPkYNB-DHiiLiaLa4aim-o_x5zXJN1FwgFU</recordid><startdate>20210810</startdate><enddate>20210810</enddate><creator>Xing, Z.B.</creator><creator>Han, Xingchao</creator><creator>Ke, Hanbing</creator><creator>Zhang, Q.G.</creator><creator>Zhang, Zhiping</creator><creator>Xu, Huijin</creator><creator>Wang, Fuqiang</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing 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lattice Boltzmann (LB) simulation for convective transport of nanofluids in porous structures with phase interactions</title><author>Xing, Z.B. ; Han, Xingchao ; Ke, Hanbing ; Zhang, Q.G. ; Zhang, Zhiping ; Xu, Huijin ; Wang, Fuqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-10b80b4da6a11582eb09120edc165a41bc597657c9b60295779a07347d122dd23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computational fluid dynamics</topic><topic>Convection</topic><topic>Convective flow</topic><topic>Darcy number</topic><topic>Energy storage</topic><topic>Equilibrium</topic><topic>Fluid dynamics</topic><topic>Heat conductivity</topic><topic>Heat exchangers</topic><topic>Heat transfer</topic><topic>Hydrodynamics</topic><topic>Investigations</topic><topic>Metals</topic><topic>Momentum</topic><topic>Multiphase</topic><topic>Nanofluids</topic><topic>Nanoparticles</topic><topic>Numerical methods</topic><topic>Porous materials</topic><topic>Porous media</topic><topic>Structures</topic><topic>Technicians</topic><topic>Thermal coupling</topic><topic>Thermal resistance</topic><topic>Transport</topic><topic>Viscosity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xing, Z.B.</creatorcontrib><creatorcontrib>Han, Xingchao</creatorcontrib><creatorcontrib>Ke, Hanbing</creatorcontrib><creatorcontrib>Zhang, Q.G.</creatorcontrib><creatorcontrib>Zhang, Zhiping</creatorcontrib><creatorcontrib>Xu, Huijin</creatorcontrib><creatorcontrib>Wang, Fuqiang</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information 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Technology Collection</collection><jtitle>International journal of numerical methods for heat & fluid flow</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xing, Z.B.</au><au>Han, Xingchao</au><au>Ke, Hanbing</au><au>Zhang, Q.G.</au><au>Zhang, Zhiping</au><au>Xu, Huijin</au><au>Wang, Fuqiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-phase lattice Boltzmann (LB) simulation for convective transport of nanofluids in porous structures with phase interactions</atitle><jtitle>International journal of numerical methods for heat & fluid flow</jtitle><date>2021-08-10</date><risdate>2021</risdate><volume>31</volume><issue>8</issue><spage>2754</spage><epage>2788</epage><pages>2754-2788</pages><issn>0961-5539</issn><eissn>0961-5539</eissn><eissn>1758-6585</eissn><abstract>Purpose
A combination of highly conductive porous media and nanofluids is an efficient way for improving thermal performance of relevant applications. For precisely predicting the flow and thermal transport of nanofluids in porous media, the purpose of this paper is to explore the inter-phase coupling numerical methods.
Design/methodology/approach
Based on the lattice Boltzmann (LB) method, this study combines the convective flow, non-equilibrium thermal transport and phase interactions of nanofluids in porous matrix and proposes a new multi-phase LB model. The micro-scale momentum and heat interactions are especially analyzed for nanoparticles, base fluid and solid matrix. A set of three-phase LB equations for the flow/thermal coupling of base fluid, nanoparticles and solid matrix is established.
Findings
Distributions of nanoparticles, velocities for nanoparticles and the base fluid, temperatures for three phases and interaction forces are analyzed in detail. Influences of parameters on the nanofluid convection in the porous matrix are examined. Thermal resistance of nanofluid convective transport in porous structures are comprehensively discussed with the models of multi-phases. Results show that the Rayleigh number and the Darcy number have significant influences on the convective characteristics. The result with the three-phase model is mildly larger than that with the local thermal non-equilibrium model.
Originality/value
This paper first creates the multi-phase theoretical model for the complex coupling process of nanofluids in porous structures, which is useful for researchers and technicians in fields of thermal science and computational fluid dynamics.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/HFF-07-2020-0481</doi><tpages>35</tpages></addata></record> |
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source | Emerald A-Z Current Journals |
subjects | Computational fluid dynamics Convection Convective flow Darcy number Energy storage Equilibrium Fluid dynamics Heat conductivity Heat exchangers Heat transfer Hydrodynamics Investigations Metals Momentum Multiphase Nanofluids Nanoparticles Numerical methods Porous materials Porous media Structures Technicians Thermal coupling Thermal resistance Transport Viscosity |
title | Multi-phase lattice Boltzmann (LB) simulation for convective transport of nanofluids in porous structures with phase interactions |
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