Taguchi optimization for natural convection heat transfer of Al2O3 nanofluid in a partially heated cavity using LBM View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-13

AUTHORS

Masoud Sobhani, Hossein Ajam

ABSTRACT

In the present study for the first time, Taguchi approach was applied to specify the optimal condition of the parameters in the natural convection heat transfer of Al2O3 nanofluid for a partially heated cavity. The flow and energy equations are solved by the lattice Boltzmann method. The influence of the 5 factors including Rayleigh number, position, hot length, cold length, volume concentration of the Al2O3 nanoparticles is examined. The Nusselt number on the hot section is measured for the response factor. In Taguchi optimization method, the levels of every factor were fixed at 3 levels and the L27 orthogonal array. The conclusions of the Taguchi–LBM technique indicated that the optimum conditions were attained at the maximum Rayleigh number, cold length and volume fraction and the minimum hot length in the bottom–bottom configuration in the variety of the design parameters. Also, the most significant parameter influencing the Nusselt number on the hot wall was the Rayleigh number, while changing the volume fraction had a negligible effect. More... »

PAGES

1-16

References to SciGraph publications

  • 2019-01. Stability and magnetization of Fe3O4/water nanofluid preparation characteristics using Taguchi method in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2018-10-17. Optimization of heat transfer and pressure drop in a tube with loose-fit perforated twisted tapes by Taguchi method and grey relational analysis in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2019-03. Numerical investigation of MHD effects on nanofluid heat transfer in a baffled U-shaped enclosure using lattice Boltzmann method in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2018-11-10. Lattice Boltzmann study of multi-walled carbon nanotube (MWCNT)-Fe3O4/water hybrid nanofluids natural convection heat transfer in a Π-shaped cavity equipped by hot obstacle in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2018-11. Investigation of thermo-fluid behavior of mixed convection heat transfer of different dimples-protrusions wall patterns to heat transfer enhancement in HEAT AND MASS TRANSFER
  • 2017-05. Mixed magnetohydrodynamic convection in a Cu-water-nanofluid-filled ventilated square cavity using the Taguchi method: A numerical investigation and optimization in THE EUROPEAN PHYSICAL JOURNAL PLUS
  • 2019-01. Investigation of factors influencing the performance of nanofluid-based direct absorption solar collector using Taguchi method in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2011. Lattice Boltzmann Method, Fundamentals and Engineering Applications with Computer Codes in NONE
  • 2017-08. Study of vibration characteristics for orthotropic circular cylindrical shells using wave propagation approach and multivariate analysis in MECCANICA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10973-019-08170-3

    DOI

    http://dx.doi.org/10.1007/s10973-019-08170-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112731825


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Interdisciplinary Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Ferdowsi University of Mashhad", 
              "id": "https://www.grid.ac/institutes/grid.411301.6", 
              "name": [
                "Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sobhani", 
            "givenName": "Masoud", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ferdowsi University of Mashhad", 
              "id": "https://www.grid.ac/institutes/grid.411301.6", 
              "name": [
                "Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ajam", 
            "givenName": "Hossein", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.ijheatfluidflow.2008.04.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001084269"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-85729-455-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005601359", 
              "https://doi.org/10.1007/978-0-85729-455-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-85729-455-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005601359", 
              "https://doi.org/10.1007/978-0-85729-455-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijthermalsci.2006.06.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008057548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jtice.2016.05.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008389213"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11012-016-0587-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011214649", 
              "https://doi.org/10.1007/s11012-016-0587-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11012-016-0587-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011214649", 
              "https://doi.org/10.1007/s11012-016-0587-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apt.2008.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013722596"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2005.11.031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013811673"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.icheatmasstransfer.2011.03.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016265560"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.spmi.2012.10.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019268667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01457632.2015.1060748", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023784588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10407782.2011.552363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024829713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2003.07.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028443526"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2003.07.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028443526"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2005.07.046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031674849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.icheatmasstransfer.2014.12.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034017995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.euromechflu.2009.05.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036162947"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.rser.2014.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038581748"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2014.05.063", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038718789"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0017-9310(89)90078-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040478946"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0017-9310(89)90078-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040478946"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.icheatmasstransfer.2006.11.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042401729"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.icheatmasstransfer.2011.03.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042596435"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijthermalsci.2011.04.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043160292"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.icheatmasstransfer.2011.03.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044830815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.euromechflu.2010.10.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046024482"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1700493", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057770936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.3250537", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062112586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/s0129183113500605", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062905569"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jtice.2017.01.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083414669"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molliq.2017.02.097", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083900537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jtice.2017.01.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084529408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1140/epjp/i2017-11471-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085130367", 
              "https://doi.org/10.1140/epjp/i2017-11471-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1140/epjp/i2017-11471-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085130367", 
              "https://doi.org/10.1140/epjp/i2017-11471-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090992078"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090993861"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molliq.2017.09.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091478404"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.4993866", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100106506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cep.2018.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100247949"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00231-018-2356-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103779575", 
              "https://doi.org/10.1007/s00231-018-2356-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.physa.2018.06.056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105070501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/s0129183118500791", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105537330"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7518-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105549769", 
              "https://doi.org/10.1007/s10973-018-7518-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7518-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105549769", 
              "https://doi.org/10.1007/s10973-018-7518-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7518-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105549769", 
              "https://doi.org/10.1007/s10973-018-7518-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jtice.2018.07.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106120699"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7662-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106893726", 
              "https://doi.org/10.1007/s10973-018-7662-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7662-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106893726", 
              "https://doi.org/10.1007/s10973-018-7662-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7721-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107125391", 
              "https://doi.org/10.1007/s10973-018-7721-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7721-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107125391", 
              "https://doi.org/10.1007/s10973-018-7721-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/s0129183118501085", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107331346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7824-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107685053", 
              "https://doi.org/10.1007/s10973-018-7824-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2018.10.072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107821258"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7881-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109805949", 
              "https://doi.org/10.1007/s10973-018-7881-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmecsci.2018.11.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110036050"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.29252/jafm.11.01.28167", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112392621"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03-13", 
        "datePublishedReg": "2019-03-13", 
        "description": "In the present study for the first time, Taguchi approach was applied to specify the optimal condition of the parameters in the natural convection heat transfer of Al2O3 nanofluid for a partially heated cavity. The flow and energy equations are solved by the lattice Boltzmann method. The influence of the 5 factors including Rayleigh number, position, hot length, cold length, volume concentration of the Al2O3 nanoparticles is examined. The Nusselt number on the hot section is measured for the response factor. In Taguchi optimization method, the levels of every factor were fixed at 3 levels and the L27 orthogonal array. The conclusions of the Taguchi\u2013LBM technique indicated that the optimum conditions were attained at the maximum Rayleigh number, cold length and volume fraction and the minimum hot length in the bottom\u2013bottom configuration in the variety of the design parameters. Also, the most significant parameter influencing the Nusselt number on the hot wall was the Rayleigh number, while changing the volume fraction had a negligible effect.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10973-019-08170-3", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1294862", 
            "issn": [
              "1388-6150", 
              "1572-8943"
            ], 
            "name": "Journal of Thermal Analysis and Calorimetry", 
            "type": "Periodical"
          }
        ], 
        "name": "Taguchi optimization for natural convection heat transfer of Al2O3 nanofluid in a partially heated cavity using LBM", 
        "pagination": "1-16", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9af346f90bf206bc5a62ef580cc946a84b33f71de89734654cafef62f1a219a0"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10973-019-08170-3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112731825"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10973-019-08170-3", 
          "https://app.dimensions.ai/details/publication/pub.1112731825"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:34", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000358_0000000358/records_127422_00000011.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs10973-019-08170-3"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10973-019-08170-3'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10973-019-08170-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10973-019-08170-3'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10973-019-08170-3'


     

    This table displays all metadata directly associated to this object as RDF triples.

    213 TRIPLES      21 PREDICATES      72 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10973-019-08170-3 schema:about anzsrc-for:09
    2 anzsrc-for:0915
    3 schema:author N30c87fe943d14e889cd58d807e01f9c7
    4 schema:citation sg:pub.10.1007/978-0-85729-455-5
    5 sg:pub.10.1007/s00231-018-2356-9
    6 sg:pub.10.1007/s10973-018-7518-y
    7 sg:pub.10.1007/s10973-018-7662-4
    8 sg:pub.10.1007/s10973-018-7721-x
    9 sg:pub.10.1007/s10973-018-7824-4
    10 sg:pub.10.1007/s10973-018-7881-8
    11 sg:pub.10.1007/s11012-016-0587-8
    12 sg:pub.10.1140/epjp/i2017-11471-3
    13 https://doi.org/10.1016/0017-9310(89)90078-1
    14 https://doi.org/10.1016/j.apt.2008.02.002
    15 https://doi.org/10.1016/j.cep.2018.01.004
    16 https://doi.org/10.1016/j.euromechflu.2009.05.006
    17 https://doi.org/10.1016/j.euromechflu.2010.10.003
    18 https://doi.org/10.1016/j.icheatmasstransfer.2006.11.001
    19 https://doi.org/10.1016/j.icheatmasstransfer.2011.03.004
    20 https://doi.org/10.1016/j.icheatmasstransfer.2011.03.013
    21 https://doi.org/10.1016/j.icheatmasstransfer.2011.03.018
    22 https://doi.org/10.1016/j.icheatmasstransfer.2014.12.019
    23 https://doi.org/10.1016/j.ijheatfluidflow.2008.04.009
    24 https://doi.org/10.1016/j.ijheatmasstransfer.2003.07.007
    25 https://doi.org/10.1016/j.ijheatmasstransfer.2005.07.046
    26 https://doi.org/10.1016/j.ijheatmasstransfer.2005.11.031
    27 https://doi.org/10.1016/j.ijheatmasstransfer.2014.05.063
    28 https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.042
    29 https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.054
    30 https://doi.org/10.1016/j.ijheatmasstransfer.2018.10.072
    31 https://doi.org/10.1016/j.ijmecsci.2018.11.019
    32 https://doi.org/10.1016/j.ijthermalsci.2006.06.010
    33 https://doi.org/10.1016/j.ijthermalsci.2011.04.015
    34 https://doi.org/10.1016/j.jtice.2016.05.014
    35 https://doi.org/10.1016/j.jtice.2017.01.006
    36 https://doi.org/10.1016/j.jtice.2017.01.017
    37 https://doi.org/10.1016/j.jtice.2018.07.026
    38 https://doi.org/10.1016/j.molliq.2017.02.097
    39 https://doi.org/10.1016/j.molliq.2017.09.007
    40 https://doi.org/10.1016/j.physa.2018.06.056
    41 https://doi.org/10.1016/j.rser.2014.07.001
    42 https://doi.org/10.1016/j.spmi.2012.10.003
    43 https://doi.org/10.1063/1.1700493
    44 https://doi.org/10.1063/1.4993866
    45 https://doi.org/10.1080/01457632.2015.1060748
    46 https://doi.org/10.1080/10407782.2011.552363
    47 https://doi.org/10.1115/1.3250537
    48 https://doi.org/10.1142/s0129183113500605
    49 https://doi.org/10.1142/s0129183118500791
    50 https://doi.org/10.1142/s0129183118501085
    51 https://doi.org/10.29252/jafm.11.01.28167
    52 schema:datePublished 2019-03-13
    53 schema:datePublishedReg 2019-03-13
    54 schema:description In the present study for the first time, Taguchi approach was applied to specify the optimal condition of the parameters in the natural convection heat transfer of Al2O3 nanofluid for a partially heated cavity. The flow and energy equations are solved by the lattice Boltzmann method. The influence of the 5 factors including Rayleigh number, position, hot length, cold length, volume concentration of the Al2O3 nanoparticles is examined. The Nusselt number on the hot section is measured for the response factor. In Taguchi optimization method, the levels of every factor were fixed at 3 levels and the L27 orthogonal array. The conclusions of the Taguchi–LBM technique indicated that the optimum conditions were attained at the maximum Rayleigh number, cold length and volume fraction and the minimum hot length in the bottom–bottom configuration in the variety of the design parameters. Also, the most significant parameter influencing the Nusselt number on the hot wall was the Rayleigh number, while changing the volume fraction had a negligible effect.
    55 schema:genre research_article
    56 schema:inLanguage en
    57 schema:isAccessibleForFree false
    58 schema:isPartOf sg:journal.1294862
    59 schema:name Taguchi optimization for natural convection heat transfer of Al2O3 nanofluid in a partially heated cavity using LBM
    60 schema:pagination 1-16
    61 schema:productId N084776098ba34654940f37d16e73c387
    62 Nbf90b1f3acef4671ad386889c3d6045e
    63 Ncdfe1ed453574cf3bbdcc302306679be
    64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112731825
    65 https://doi.org/10.1007/s10973-019-08170-3
    66 schema:sdDatePublished 2019-04-11T11:34
    67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    68 schema:sdPublisher N1b9a89975dba43e4811b0f5cca14769b
    69 schema:url https://link.springer.com/10.1007%2Fs10973-019-08170-3
    70 sgo:license sg:explorer/license/
    71 sgo:sdDataset articles
    72 rdf:type schema:ScholarlyArticle
    73 N084776098ba34654940f37d16e73c387 schema:name readcube_id
    74 schema:value 9af346f90bf206bc5a62ef580cc946a84b33f71de89734654cafef62f1a219a0
    75 rdf:type schema:PropertyValue
    76 N1b9a89975dba43e4811b0f5cca14769b schema:name Springer Nature - SN SciGraph project
    77 rdf:type schema:Organization
    78 N1cc3bec5a3a24160a311de0f37d75f2e schema:affiliation https://www.grid.ac/institutes/grid.411301.6
    79 schema:familyName Sobhani
    80 schema:givenName Masoud
    81 rdf:type schema:Person
    82 N30c87fe943d14e889cd58d807e01f9c7 rdf:first N1cc3bec5a3a24160a311de0f37d75f2e
    83 rdf:rest N3bad5fa11f4e4318b6d6f38476fe6bfc
    84 N3bad5fa11f4e4318b6d6f38476fe6bfc rdf:first Nb743ce645c224b6bb6bf828127f9132c
    85 rdf:rest rdf:nil
    86 Nb743ce645c224b6bb6bf828127f9132c schema:affiliation https://www.grid.ac/institutes/grid.411301.6
    87 schema:familyName Ajam
    88 schema:givenName Hossein
    89 rdf:type schema:Person
    90 Nbf90b1f3acef4671ad386889c3d6045e schema:name doi
    91 schema:value 10.1007/s10973-019-08170-3
    92 rdf:type schema:PropertyValue
    93 Ncdfe1ed453574cf3bbdcc302306679be schema:name dimensions_id
    94 schema:value pub.1112731825
    95 rdf:type schema:PropertyValue
    96 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    97 schema:name Engineering
    98 rdf:type schema:DefinedTerm
    99 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
    100 schema:name Interdisciplinary Engineering
    101 rdf:type schema:DefinedTerm
    102 sg:journal.1294862 schema:issn 1388-6150
    103 1572-8943
    104 schema:name Journal of Thermal Analysis and Calorimetry
    105 rdf:type schema:Periodical
    106 sg:pub.10.1007/978-0-85729-455-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005601359
    107 https://doi.org/10.1007/978-0-85729-455-5
    108 rdf:type schema:CreativeWork
    109 sg:pub.10.1007/s00231-018-2356-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103779575
    110 https://doi.org/10.1007/s00231-018-2356-9
    111 rdf:type schema:CreativeWork
    112 sg:pub.10.1007/s10973-018-7518-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1105549769
    113 https://doi.org/10.1007/s10973-018-7518-y
    114 rdf:type schema:CreativeWork
    115 sg:pub.10.1007/s10973-018-7662-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106893726
    116 https://doi.org/10.1007/s10973-018-7662-4
    117 rdf:type schema:CreativeWork
    118 sg:pub.10.1007/s10973-018-7721-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1107125391
    119 https://doi.org/10.1007/s10973-018-7721-x
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1007/s10973-018-7824-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107685053
    122 https://doi.org/10.1007/s10973-018-7824-4
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1007/s10973-018-7881-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109805949
    125 https://doi.org/10.1007/s10973-018-7881-8
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1007/s11012-016-0587-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011214649
    128 https://doi.org/10.1007/s11012-016-0587-8
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1140/epjp/i2017-11471-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085130367
    131 https://doi.org/10.1140/epjp/i2017-11471-3
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/0017-9310(89)90078-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040478946
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/j.apt.2008.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013722596
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/j.cep.2018.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100247949
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/j.euromechflu.2009.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036162947
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/j.euromechflu.2010.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046024482
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1016/j.icheatmasstransfer.2006.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042401729
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1016/j.icheatmasstransfer.2011.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016265560
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1016/j.icheatmasstransfer.2011.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044830815
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/j.icheatmasstransfer.2011.03.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042596435
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1016/j.icheatmasstransfer.2014.12.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034017995
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.ijheatfluidflow.2008.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001084269
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.ijheatmasstransfer.2003.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028443526
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.ijheatmasstransfer.2005.07.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031674849
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.ijheatmasstransfer.2005.11.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013811673
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/j.ijheatmasstransfer.2014.05.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038718789
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090992078
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090993861
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/j.ijheatmasstransfer.2018.10.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107821258
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1016/j.ijmecsci.2018.11.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110036050
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1016/j.ijthermalsci.2006.06.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008057548
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1016/j.ijthermalsci.2011.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043160292
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1016/j.jtice.2016.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008389213
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/j.jtice.2017.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083414669
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1016/j.jtice.2017.01.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084529408
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1016/j.jtice.2018.07.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106120699
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/j.molliq.2017.02.097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083900537
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1016/j.molliq.2017.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091478404
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1016/j.physa.2018.06.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105070501
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1016/j.rser.2014.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038581748
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1016/j.spmi.2012.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019268667
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1063/1.1700493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057770936
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1063/1.4993866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100106506
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1080/01457632.2015.1060748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023784588
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1080/10407782.2011.552363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024829713
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1115/1.3250537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062112586
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1142/s0129183113500605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062905569
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1142/s0129183118500791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105537330
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1142/s0129183118501085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107331346
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.29252/jafm.11.01.28167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112392621
    210 rdf:type schema:CreativeWork
    211 https://www.grid.ac/institutes/grid.411301.6 schema:alternateName Ferdowsi University of Mashhad
    212 schema:name Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
    213 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...