Effects of heat flux on dropwise condensation on a superhydrophobic surface View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-05

AUTHORS

Kyung Won Hwang, DongHyun Kim, HangJin Jo, Hyun Sun Park, Kiyofumi Moriyama, Moo Hwan Kim

ABSTRACT

The condensation heat transfer efficiencies of superhydrophobic surfaces that have ∼160° contact angle under atmospheric conditions were investigated experimentally. The departing diameter and the contact angle hysteresis of droplets were measured by capturing front and tilted side views of condensation phenomena with a high speed camera and an endoscope, respectively. Condensation behaviors on the surface were observed at the micro-scale using an Environmental scanning electron microscope (ESEM). Apparently-spherical droplets formed at very low heat flux q″ ∼20 kW/m2 but hemispherical droplets formed at high q″ ∼440 kW/m2. At high q″, heat transfer coefficients were lower on the superhydrophobic surface than on a hydrophobic surface although the superhydrophobic surface is water repellent so droplets roll off. The results of contact angle hysteresis and ESEM image revealed that the reduced heat transfer of the surface can be attributed to the large size of departing droplets caused by adhesive condensed droplets at nucleation sites. The results suggest that the effect of q″ or degree of sub-cooling of a condensation wall determine the droplet shape, which is closely related to removal rates of condensates and finally to the heat transfer coefficient. More... »

PAGES

2141-2149

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12206-016-0421-1

DOI

http://dx.doi.org/10.1007/s12206-016-0421-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023978130


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": "Pohang University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.49100.3c", 
          "name": [
            "Department of Mechanical Engineering, POSTECH, 790-784, Pohang, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hwang", 
        "givenName": "Kyung Won", 
        "id": "sg:person.01311345441.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311345441.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Atomic Energy Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.418964.6", 
          "name": [
            "Research Reactor Core Design Division, Korea Atomic Energy Research Institute, 305-353, Deajeon, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "DongHyun", 
        "id": "sg:person.01357460641.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357460641.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jo", 
        "givenName": "HangJin", 
        "id": "sg:person.01017727363.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017727363.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pohang University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.49100.3c", 
          "name": [
            "Division of Advanced Nuclear Engineering, POSTECH, 790-784, Pohang, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Hyun Sun", 
        "id": "sg:person.01037766374.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037766374.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pohang University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.49100.3c", 
          "name": [
            "Division of Advanced Nuclear Engineering, POSTECH, 790-784, Pohang, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moriyama", 
        "givenName": "Kiyofumi", 
        "id": "sg:person.016615762473.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016615762473.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Institute of Nuclear Safety", 
          "id": "https://www.grid.ac/institutes/grid.464612.3", 
          "name": [
            "Korea Institute of Nuclear Safety, 305-338, Deajeon, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Moo Hwan", 
        "id": "sg:person.01010301236.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010301236.72"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/la304264g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003835124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la020088p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003992929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la020088p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003992929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(84)90266-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005153926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12206-014-1146-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010116438", 
          "https://doi.org/10.1007/s12206-014-1146-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(73)90062-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012757788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11630-009-0160-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013927287", 
          "https://doi.org/10.1007/s11630-009-0160-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11630-009-0160-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013927287", 
          "https://doi.org/10.1007/s11630-009-0160-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.applthermaleng.2005.05.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016330258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b602486f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017687118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(65)90005-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019412974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(65)90005-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019412974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la000598o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021335868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la000598o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021335868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcis.2003.12.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022052311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024654648", 
          "https://doi.org/10.1038/nmat924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024654648", 
          "https://doi.org/10.1038/nmat924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1895487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027676945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2012.05.081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030720584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl303835d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031773125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(68)90094-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034302038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(76)90082-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035402802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(76)90082-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035402802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036275565", 
          "https://doi.org/10.1038/nmat856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036275565", 
          "https://doi.org/10.1038/nmat856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1299/jsme1958.29.4228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038610218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0890-4332(94)90055-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039725647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0890-4332(94)90055-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039725647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(68)90148-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040108563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.200701140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041628563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(67)90135-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042249544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0017-9310(67)90135-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042249544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12206-015-0532-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042648005", 
          "https://doi.org/10.1007/s12206-015-0532-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00231-013-1141-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042713090", 
          "https://doi.org/10.1007/s00231-013-1141-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/tf9444000546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046413207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002211208300227x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048880082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0017-9310(02)00059-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051868775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0095-8522(62)90011-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053061074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02641051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053516366", 
          "https://doi.org/10.1007/bf02641051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02641051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053516366", 
          "https://doi.org/10.1007/bf02641051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/anbo.1997.0400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054485861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/i260012a017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055527117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie50320a024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055624024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la062021y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056150964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la062021y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056150964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la302599n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056156657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn205052a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056224118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2731434", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057861051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3460275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057955476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.103.184501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060756184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.103.184501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060756184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.521465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062161283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/epl/i2006-10069-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064237615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1243/09576500260049034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064455473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1243/09576500260049034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064455473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5516/net.2011.43.3.217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072935239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/ihtc14-22936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092973435"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-05", 
    "datePublishedReg": "2016-05-01", 
    "description": "The condensation heat transfer efficiencies of superhydrophobic surfaces that have \u223c160\u00b0 contact angle under atmospheric conditions were investigated experimentally. The departing diameter and the contact angle hysteresis of droplets were measured by capturing front and tilted side views of condensation phenomena with a high speed camera and an endoscope, respectively. Condensation behaviors on the surface were observed at the micro-scale using an Environmental scanning electron microscope (ESEM). Apparently-spherical droplets formed at very low heat flux q\u2033 \u223c20 kW/m2 but hemispherical droplets formed at high q\u2033 \u223c440 kW/m2. At high q\u2033, heat transfer coefficients were lower on the superhydrophobic surface than on a hydrophobic surface although the superhydrophobic surface is water repellent so droplets roll off. The results of contact angle hysteresis and ESEM image revealed that the reduced heat transfer of the surface can be attributed to the large size of departing droplets caused by adhesive condensed droplets at nucleation sites. The results suggest that the effect of q\u2033 or degree of sub-cooling of a condensation wall determine the droplet shape, which is closely related to removal rates of condensates and finally to the heat transfer coefficient.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12206-016-0421-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1295111", 
        "issn": [
          "1011-8861", 
          "1226-4865"
        ], 
        "name": "Journal of Mechanical Science and Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Effects of heat flux on dropwise condensation on a superhydrophobic surface", 
    "pagination": "2141-2149", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "723c28ea4fd6479a4f962a92470abb0a11565e6812e719383e51e36560f58eae"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12206-016-0421-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023978130"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12206-016-0421-1", 
      "https://app.dimensions.ai/details/publication/pub.1023978130"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:11", 
    "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/v90/0000000001_0000000264/records_8678_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12206-016-0421-1"
  }
]
 

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/s12206-016-0421-1'

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/s12206-016-0421-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12206-016-0421-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12206-016-0421-1'


 

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

245 TRIPLES      21 PREDICATES      71 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12206-016-0421-1 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N551d0aed42314b5a8d996f08217b136e
4 schema:citation sg:pub.10.1007/bf02641051
5 sg:pub.10.1007/s00231-013-1141-z
6 sg:pub.10.1007/s11630-009-0160-z
7 sg:pub.10.1007/s12206-014-1146-7
8 sg:pub.10.1007/s12206-015-0532-0
9 sg:pub.10.1038/nmat856
10 sg:pub.10.1038/nmat924
11 https://doi.org/10.1002/adma.200701140
12 https://doi.org/10.1006/anbo.1997.0400
13 https://doi.org/10.1016/0017-9310(65)90005-0
14 https://doi.org/10.1016/0017-9310(67)90135-4
15 https://doi.org/10.1016/0017-9310(68)90094-x
16 https://doi.org/10.1016/0017-9310(68)90148-8
17 https://doi.org/10.1016/0017-9310(73)90062-8
18 https://doi.org/10.1016/0017-9310(76)90082-x
19 https://doi.org/10.1016/0017-9310(84)90266-7
20 https://doi.org/10.1016/0095-8522(62)90011-9
21 https://doi.org/10.1016/0890-4332(94)90055-8
22 https://doi.org/10.1016/j.applthermaleng.2005.05.022
23 https://doi.org/10.1016/j.apsusc.2012.05.081
24 https://doi.org/10.1016/j.jcis.2003.12.067
25 https://doi.org/10.1016/s0017-9310(02)00059-5
26 https://doi.org/10.1017/s002211208300227x
27 https://doi.org/10.1021/i260012a017
28 https://doi.org/10.1021/ie50320a024
29 https://doi.org/10.1021/la000598o
30 https://doi.org/10.1021/la020088p
31 https://doi.org/10.1021/la062021y
32 https://doi.org/10.1021/la302599n
33 https://doi.org/10.1021/la304264g
34 https://doi.org/10.1021/nl303835d
35 https://doi.org/10.1021/nn205052a
36 https://doi.org/10.1039/b602486f
37 https://doi.org/10.1039/tf9444000546
38 https://doi.org/10.1063/1.1895487
39 https://doi.org/10.1063/1.2731434
40 https://doi.org/10.1063/1.3460275
41 https://doi.org/10.1103/physrevlett.103.184501
42 https://doi.org/10.1115/1.521465
43 https://doi.org/10.1115/ihtc14-22936
44 https://doi.org/10.1209/epl/i2006-10069-9
45 https://doi.org/10.1243/09576500260049034
46 https://doi.org/10.1299/jsme1958.29.4228
47 https://doi.org/10.5516/net.2011.43.3.217
48 schema:datePublished 2016-05
49 schema:datePublishedReg 2016-05-01
50 schema:description The condensation heat transfer efficiencies of superhydrophobic surfaces that have ∼160° contact angle under atmospheric conditions were investigated experimentally. The departing diameter and the contact angle hysteresis of droplets were measured by capturing front and tilted side views of condensation phenomena with a high speed camera and an endoscope, respectively. Condensation behaviors on the surface were observed at the micro-scale using an Environmental scanning electron microscope (ESEM). Apparently-spherical droplets formed at very low heat flux q″ ∼20 kW/m2 but hemispherical droplets formed at high q″ ∼440 kW/m2. At high q″, heat transfer coefficients were lower on the superhydrophobic surface than on a hydrophobic surface although the superhydrophobic surface is water repellent so droplets roll off. The results of contact angle hysteresis and ESEM image revealed that the reduced heat transfer of the surface can be attributed to the large size of departing droplets caused by adhesive condensed droplets at nucleation sites. The results suggest that the effect of q″ or degree of sub-cooling of a condensation wall determine the droplet shape, which is closely related to removal rates of condensates and finally to the heat transfer coefficient.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree false
54 schema:isPartOf N4b7747fde8f24bb680f05cc0761f52c9
55 Nbdacc42018364390bc485564b9265b20
56 sg:journal.1295111
57 schema:name Effects of heat flux on dropwise condensation on a superhydrophobic surface
58 schema:pagination 2141-2149
59 schema:productId N20d13d33f2ec44e0afc3d7f4df5445f3
60 N5dea680e38ef4b519f269239b871b741
61 N8eb41f168d8c4631b6f47e954fc18d75
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023978130
63 https://doi.org/10.1007/s12206-016-0421-1
64 schema:sdDatePublished 2019-04-10T19:11
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N0d5264ff9b95460a9985c6f824d69c4d
67 schema:url http://link.springer.com/10.1007%2Fs12206-016-0421-1
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N0d5264ff9b95460a9985c6f824d69c4d schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 N20d13d33f2ec44e0afc3d7f4df5445f3 schema:name readcube_id
74 schema:value 723c28ea4fd6479a4f962a92470abb0a11565e6812e719383e51e36560f58eae
75 rdf:type schema:PropertyValue
76 N3cd7c00a903b49ec936a43affcfd5eed rdf:first sg:person.01037766374.72
77 rdf:rest Nbbd9366030c849e0ac0cd95a9045b614
78 N4998c6927fd4454ebb0d839e1c721972 rdf:first sg:person.01017727363.17
79 rdf:rest N3cd7c00a903b49ec936a43affcfd5eed
80 N4b7747fde8f24bb680f05cc0761f52c9 schema:volumeNumber 30
81 rdf:type schema:PublicationVolume
82 N551d0aed42314b5a8d996f08217b136e rdf:first sg:person.01311345441.67
83 rdf:rest Ncba07b231a084a3cad8a5a656cf5a42d
84 N5dea680e38ef4b519f269239b871b741 schema:name dimensions_id
85 schema:value pub.1023978130
86 rdf:type schema:PropertyValue
87 N8eb41f168d8c4631b6f47e954fc18d75 schema:name doi
88 schema:value 10.1007/s12206-016-0421-1
89 rdf:type schema:PropertyValue
90 Na454763a5a034365bfb9df071f917a3a rdf:first sg:person.01010301236.72
91 rdf:rest rdf:nil
92 Nbbd9366030c849e0ac0cd95a9045b614 rdf:first sg:person.016615762473.37
93 rdf:rest Na454763a5a034365bfb9df071f917a3a
94 Nbdacc42018364390bc485564b9265b20 schema:issueNumber 5
95 rdf:type schema:PublicationIssue
96 Ncba07b231a084a3cad8a5a656cf5a42d rdf:first sg:person.01357460641.42
97 rdf:rest N4998c6927fd4454ebb0d839e1c721972
98 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
99 schema:name Engineering
100 rdf:type schema:DefinedTerm
101 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
102 schema:name Interdisciplinary Engineering
103 rdf:type schema:DefinedTerm
104 sg:journal.1295111 schema:issn 1011-8861
105 1226-4865
106 schema:name Journal of Mechanical Science and Technology
107 rdf:type schema:Periodical
108 sg:person.01010301236.72 schema:affiliation https://www.grid.ac/institutes/grid.464612.3
109 schema:familyName Kim
110 schema:givenName Moo Hwan
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010301236.72
112 rdf:type schema:Person
113 sg:person.01017727363.17 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
114 schema:familyName Jo
115 schema:givenName HangJin
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017727363.17
117 rdf:type schema:Person
118 sg:person.01037766374.72 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
119 schema:familyName Park
120 schema:givenName Hyun Sun
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037766374.72
122 rdf:type schema:Person
123 sg:person.01311345441.67 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
124 schema:familyName Hwang
125 schema:givenName Kyung Won
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311345441.67
127 rdf:type schema:Person
128 sg:person.01357460641.42 schema:affiliation https://www.grid.ac/institutes/grid.418964.6
129 schema:familyName Kim
130 schema:givenName DongHyun
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357460641.42
132 rdf:type schema:Person
133 sg:person.016615762473.37 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
134 schema:familyName Moriyama
135 schema:givenName Kiyofumi
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016615762473.37
137 rdf:type schema:Person
138 sg:pub.10.1007/bf02641051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053516366
139 https://doi.org/10.1007/bf02641051
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s00231-013-1141-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1042713090
142 https://doi.org/10.1007/s00231-013-1141-z
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s11630-009-0160-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1013927287
145 https://doi.org/10.1007/s11630-009-0160-z
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s12206-014-1146-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010116438
148 https://doi.org/10.1007/s12206-014-1146-7
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s12206-015-0532-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042648005
151 https://doi.org/10.1007/s12206-015-0532-0
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/nmat856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036275565
154 https://doi.org/10.1038/nmat856
155 rdf:type schema:CreativeWork
156 sg:pub.10.1038/nmat924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024654648
157 https://doi.org/10.1038/nmat924
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/adma.200701140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041628563
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1006/anbo.1997.0400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054485861
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/0017-9310(65)90005-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019412974
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/0017-9310(67)90135-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042249544
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/0017-9310(68)90094-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034302038
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/0017-9310(68)90148-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040108563
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/0017-9310(73)90062-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012757788
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/0017-9310(76)90082-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035402802
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/0017-9310(84)90266-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005153926
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/0095-8522(62)90011-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053061074
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/0890-4332(94)90055-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039725647
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.applthermaleng.2005.05.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016330258
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.apsusc.2012.05.081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030720584
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.jcis.2003.12.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022052311
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/s0017-9310(02)00059-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051868775
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1017/s002211208300227x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048880082
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1021/i260012a017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055527117
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1021/ie50320a024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055624024
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1021/la000598o schema:sameAs https://app.dimensions.ai/details/publication/pub.1021335868
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1021/la020088p schema:sameAs https://app.dimensions.ai/details/publication/pub.1003992929
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1021/la062021y schema:sameAs https://app.dimensions.ai/details/publication/pub.1056150964
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1021/la302599n schema:sameAs https://app.dimensions.ai/details/publication/pub.1056156657
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1021/la304264g schema:sameAs https://app.dimensions.ai/details/publication/pub.1003835124
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1021/nl303835d schema:sameAs https://app.dimensions.ai/details/publication/pub.1031773125
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1021/nn205052a schema:sameAs https://app.dimensions.ai/details/publication/pub.1056224118
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1039/b602486f schema:sameAs https://app.dimensions.ai/details/publication/pub.1017687118
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1039/tf9444000546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046413207
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1063/1.1895487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027676945
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1063/1.2731434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057861051
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1063/1.3460275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057955476
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1103/physrevlett.103.184501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060756184
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1115/1.521465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062161283
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1115/ihtc14-22936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092973435
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1209/epl/i2006-10069-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064237615
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1243/09576500260049034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064455473
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1299/jsme1958.29.4228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038610218
230 rdf:type schema:CreativeWork
231 https://doi.org/10.5516/net.2011.43.3.217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072935239
232 rdf:type schema:CreativeWork
233 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
234 schema:name Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
235 rdf:type schema:Organization
236 https://www.grid.ac/institutes/grid.418964.6 schema:alternateName Korea Atomic Energy Research Institute
237 schema:name Research Reactor Core Design Division, Korea Atomic Energy Research Institute, 305-353, Deajeon, Korea
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.464612.3 schema:alternateName Korea Institute of Nuclear Safety
240 schema:name Korea Institute of Nuclear Safety, 305-338, Deajeon, Korea
241 rdf:type schema:Organization
242 https://www.grid.ac/institutes/grid.49100.3c schema:alternateName Pohang University of Science and Technology
243 schema:name Department of Mechanical Engineering, POSTECH, 790-784, Pohang, Korea
244 Division of Advanced Nuclear Engineering, POSTECH, 790-784, Pohang, Korea
245 rdf:type schema:Organization
 




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


...