Laser digital speckle anemometry of flows in microchannels of PEM fuel cells View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-11

AUTHORS

N. B. Bazylev, E. I. Lavinskaya, N. A. Fomin

ABSTRACT

This paper considers the method of laser digital speckle anemometry and the software developed on its basis which make it possible to recover up to 250,000 velocity vectors in the two-dimensional region of the flow in a microchannel of size 20 × 30 mm in photography with optical magnification . The results of the investigations confirm the high temporal and spatial resolution of the proposed technique and point to its possible realization in real time. In the configuration presented the spatial resolution in the measurement plane is about 100 µm. It has been shown that experimental noise filtering is an important part of the analysis. More... »

PAGES

1230-1243

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10891-006-0226-7

DOI

http://dx.doi.org/10.1007/s10891-006-0226-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023713812


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "A.V. Luikov Heat and Mass Transfer Institute", 
          "id": "https://www.grid.ac/institutes/grid.423488.1", 
          "name": [
            "A. V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus, 15 P. Brovka Str., 220072, Minsk, Belarus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bazylev", 
        "givenName": "N. B.", 
        "id": "sg:person.012731530657.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012731530657.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "A.V. Luikov Heat and Mass Transfer Institute", 
          "id": "https://www.grid.ac/institutes/grid.423488.1", 
          "name": [
            "A. V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus, 15 P. Brovka Str., 220072, Minsk, Belarus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lavinskaya", 
        "givenName": "E. I.", 
        "id": "sg:person.014454234375.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014454234375.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "A.V. Luikov Heat and Mass Transfer Institute", 
          "id": "https://www.grid.ac/institutes/grid.423488.1", 
          "name": [
            "A. V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus, 15 P. Brovka Str., 220072, Minsk, Belarus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fomin", 
        "givenName": "N. A.", 
        "id": "sg:person.010711065255.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010711065255.90"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1000493663", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-03637-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000493663", 
          "https://doi.org/10.1007/978-3-662-03637-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-03637-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000493663", 
          "https://doi.org/10.1007/978-3-662-03637-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0094-5765(77)90055-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006311155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0030-3992(89)90066-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007925869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0030-3992(89)90066-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007925869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/1.429903", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009807748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003480050366", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012550534", 
          "https://doi.org/10.1007/s003480050366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00266259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013467258", 
          "https://doi.org/10.1007/bf00266259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00266259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013467258", 
          "https://doi.org/10.1007/bf00266259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:joep.0000012019.92448.06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018256377", 
          "https://doi.org/10.1023/b:joep.0000012019.92448.06"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08916159108946417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019614463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003480050005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019720157", 
          "https://doi.org/10.1007/s003480050005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0030-4018(95)00042-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023129783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:joep.0000049540.70320.cd", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024837031", 
          "https://doi.org/10.1023/b:joep.0000049540.70320.cd"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.231359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025925428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.optlaseng.2005.04.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026608580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2717(08)70151-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032667382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0030-4018(81)90428-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033162436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0030-4018(81)90428-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033162436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00190388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033189122", 
          "https://doi.org/10.1007/bf00190388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0030-3992(00)00095-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033684180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09500348914550221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036584093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00189389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037016689", 
          "https://doi.org/10.1007/bf00189389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-03707-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037260968", 
          "https://doi.org/10.1007/978-3-662-03707-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-03707-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037260968", 
          "https://doi.org/10.1007/978-3-662-03707-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/270045a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039493266", 
          "https://doi.org/10.1038/270045a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00902971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040636712", 
          "https://doi.org/10.1007/bf00902971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00902971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040636712", 
          "https://doi.org/10.1007/bf00902971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.fl.23.010191.001401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042665937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-7091-9310-5_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044759069", 
          "https://doi.org/10.1007/978-3-7091-9310-5_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/11/6/326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045025001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2003.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046113784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2003.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046113784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:joep.0000003209.24523.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047253776", 
          "https://doi.org/10.1023/b:joep.0000003209.24523.29"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1724502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057791376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jxb/29.2.395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059854480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.16.002334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065093054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.21.002583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065097560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.1.000135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065210777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1615/jflowvisimageproc.v12.i2.30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068146731"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-11", 
    "datePublishedReg": "2006-11-01", 
    "description": "This paper considers the method of laser digital speckle anemometry and the software developed on its basis which make it possible to recover up to 250,000 velocity vectors in the two-dimensional region of the flow in a microchannel of size 20 \u00d7 30 mm in photography with optical magnification . The results of the investigations confirm the high temporal and spatial resolution of the proposed technique and point to its possible realization in real time. In the configuration presented the spatial resolution in the measurement plane is about 100 \u00b5m. It has been shown that experimental noise filtering is an important part of the analysis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10891-006-0226-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313809", 
        "issn": [
          "1062-0125", 
          "1573-871X"
        ], 
        "name": "Journal of Engineering Physics and Thermophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "79"
      }
    ], 
    "name": "Laser digital speckle anemometry of flows in microchannels of PEM fuel cells", 
    "pagination": "1230-1243", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "70fa95026ce07ca3d2e80a1b6be6f8d2e8cff9a7f2d8ee59500aa17b35dbc053"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10891-006-0226-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023713812"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10891-006-0226-7", 
      "https://app.dimensions.ai/details/publication/pub.1023713812"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:57", 
    "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/v90/0000000365_0000000365/records_71680_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10891-006-0226-7"
  }
]
 

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/s10891-006-0226-7'

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/s10891-006-0226-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10891-006-0226-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10891-006-0226-7'


 

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

189 TRIPLES      21 PREDICATES      61 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10891-006-0226-7 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Nee190866b5f746009c8f6331ee824003
4 schema:citation sg:pub.10.1007/978-3-662-03637-2
5 sg:pub.10.1007/978-3-662-03707-2
6 sg:pub.10.1007/978-3-7091-9310-5_3
7 sg:pub.10.1007/bf00189389
8 sg:pub.10.1007/bf00190388
9 sg:pub.10.1007/bf00266259
10 sg:pub.10.1007/bf00902971
11 sg:pub.10.1007/s003480050005
12 sg:pub.10.1007/s003480050366
13 sg:pub.10.1023/b:joep.0000003209.24523.29
14 sg:pub.10.1023/b:joep.0000012019.92448.06
15 sg:pub.10.1023/b:joep.0000049540.70320.cd
16 sg:pub.10.1038/270045a0
17 https://app.dimensions.ai/details/publication/pub.1000493663
18 https://doi.org/10.1016/0030-3992(89)90066-2
19 https://doi.org/10.1016/0030-4018(81)90428-4
20 https://doi.org/10.1016/0030-4018(95)00042-7
21 https://doi.org/10.1016/0094-5765(77)90055-8
22 https://doi.org/10.1016/j.ijheatmasstransfer.2003.06.002
23 https://doi.org/10.1016/j.optlaseng.2005.04.008
24 https://doi.org/10.1016/s0030-3992(00)00095-5
25 https://doi.org/10.1016/s0065-2717(08)70151-5
26 https://doi.org/10.1063/1.1724502
27 https://doi.org/10.1080/08916159108946417
28 https://doi.org/10.1080/09500348914550221
29 https://doi.org/10.1088/0957-0233/11/6/326
30 https://doi.org/10.1093/jxb/29.2.395
31 https://doi.org/10.1117/1.429903
32 https://doi.org/10.1117/12.231359
33 https://doi.org/10.1146/annurev.fl.23.010191.001401
34 https://doi.org/10.1364/ao.16.002334
35 https://doi.org/10.1364/ao.21.002583
36 https://doi.org/10.1364/ol.1.000135
37 https://doi.org/10.1615/jflowvisimageproc.v12.i2.30
38 schema:datePublished 2006-11
39 schema:datePublishedReg 2006-11-01
40 schema:description This paper considers the method of laser digital speckle anemometry and the software developed on its basis which make it possible to recover up to 250,000 velocity vectors in the two-dimensional region of the flow in a microchannel of size 20 × 30 mm in photography with optical magnification . The results of the investigations confirm the high temporal and spatial resolution of the proposed technique and point to its possible realization in real time. In the configuration presented the spatial resolution in the measurement plane is about 100 µm. It has been shown that experimental noise filtering is an important part of the analysis.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N03bf960da7b0443580dc8319435c131a
45 N4108fff87b50468093bb3de64f4eae99
46 sg:journal.1313809
47 schema:name Laser digital speckle anemometry of flows in microchannels of PEM fuel cells
48 schema:pagination 1230-1243
49 schema:productId N39be2f2edde145669f7c362eb15d4dc5
50 N6cb6d2cfebd44af694abbd5e0374535b
51 Nb1730686d8a044c6ab713d919a7cbca8
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023713812
53 https://doi.org/10.1007/s10891-006-0226-7
54 schema:sdDatePublished 2019-04-11T12:57
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher Nf465262a230641c0841d7c3ce331c316
57 schema:url http://link.springer.com/10.1007%2Fs10891-006-0226-7
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N03bf960da7b0443580dc8319435c131a schema:issueNumber 6
62 rdf:type schema:PublicationIssue
63 N39be2f2edde145669f7c362eb15d4dc5 schema:name dimensions_id
64 schema:value pub.1023713812
65 rdf:type schema:PropertyValue
66 N4108fff87b50468093bb3de64f4eae99 schema:volumeNumber 79
67 rdf:type schema:PublicationVolume
68 N4816ac108fc14f1bb6a11ebc1b96c6cf rdf:first sg:person.014454234375.44
69 rdf:rest N9232c6a9eab44d208ddff4ae0e546eec
70 N6cb6d2cfebd44af694abbd5e0374535b schema:name readcube_id
71 schema:value 70fa95026ce07ca3d2e80a1b6be6f8d2e8cff9a7f2d8ee59500aa17b35dbc053
72 rdf:type schema:PropertyValue
73 N9232c6a9eab44d208ddff4ae0e546eec rdf:first sg:person.010711065255.90
74 rdf:rest rdf:nil
75 Nb1730686d8a044c6ab713d919a7cbca8 schema:name doi
76 schema:value 10.1007/s10891-006-0226-7
77 rdf:type schema:PropertyValue
78 Nee190866b5f746009c8f6331ee824003 rdf:first sg:person.012731530657.05
79 rdf:rest N4816ac108fc14f1bb6a11ebc1b96c6cf
80 Nf465262a230641c0841d7c3ce331c316 schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
83 schema:name Physical Sciences
84 rdf:type schema:DefinedTerm
85 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
86 schema:name Other Physical Sciences
87 rdf:type schema:DefinedTerm
88 sg:journal.1313809 schema:issn 1062-0125
89 1573-871X
90 schema:name Journal of Engineering Physics and Thermophysics
91 rdf:type schema:Periodical
92 sg:person.010711065255.90 schema:affiliation https://www.grid.ac/institutes/grid.423488.1
93 schema:familyName Fomin
94 schema:givenName N. A.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010711065255.90
96 rdf:type schema:Person
97 sg:person.012731530657.05 schema:affiliation https://www.grid.ac/institutes/grid.423488.1
98 schema:familyName Bazylev
99 schema:givenName N. B.
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012731530657.05
101 rdf:type schema:Person
102 sg:person.014454234375.44 schema:affiliation https://www.grid.ac/institutes/grid.423488.1
103 schema:familyName Lavinskaya
104 schema:givenName E. I.
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014454234375.44
106 rdf:type schema:Person
107 sg:pub.10.1007/978-3-662-03637-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000493663
108 https://doi.org/10.1007/978-3-662-03637-2
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/978-3-662-03707-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037260968
111 https://doi.org/10.1007/978-3-662-03707-2
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/978-3-7091-9310-5_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044759069
114 https://doi.org/10.1007/978-3-7091-9310-5_3
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/bf00189389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037016689
117 https://doi.org/10.1007/bf00189389
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/bf00190388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033189122
120 https://doi.org/10.1007/bf00190388
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/bf00266259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013467258
123 https://doi.org/10.1007/bf00266259
124 rdf:type schema:CreativeWork
125 sg:pub.10.1007/bf00902971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040636712
126 https://doi.org/10.1007/bf00902971
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/s003480050005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019720157
129 https://doi.org/10.1007/s003480050005
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s003480050366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012550534
132 https://doi.org/10.1007/s003480050366
133 rdf:type schema:CreativeWork
134 sg:pub.10.1023/b:joep.0000003209.24523.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047253776
135 https://doi.org/10.1023/b:joep.0000003209.24523.29
136 rdf:type schema:CreativeWork
137 sg:pub.10.1023/b:joep.0000012019.92448.06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018256377
138 https://doi.org/10.1023/b:joep.0000012019.92448.06
139 rdf:type schema:CreativeWork
140 sg:pub.10.1023/b:joep.0000049540.70320.cd schema:sameAs https://app.dimensions.ai/details/publication/pub.1024837031
141 https://doi.org/10.1023/b:joep.0000049540.70320.cd
142 rdf:type schema:CreativeWork
143 sg:pub.10.1038/270045a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039493266
144 https://doi.org/10.1038/270045a0
145 rdf:type schema:CreativeWork
146 https://app.dimensions.ai/details/publication/pub.1000493663 schema:CreativeWork
147 https://doi.org/10.1016/0030-3992(89)90066-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007925869
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/0030-4018(81)90428-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033162436
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/0030-4018(95)00042-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023129783
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/0094-5765(77)90055-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006311155
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.ijheatmasstransfer.2003.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046113784
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.optlaseng.2005.04.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026608580
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/s0030-3992(00)00095-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033684180
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/s0065-2717(08)70151-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032667382
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1063/1.1724502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057791376
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1080/08916159108946417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019614463
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1080/09500348914550221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036584093
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1088/0957-0233/11/6/326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045025001
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1093/jxb/29.2.395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059854480
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1117/1.429903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009807748
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1117/12.231359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025925428
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1146/annurev.fl.23.010191.001401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042665937
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1364/ao.16.002334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065093054
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1364/ao.21.002583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065097560
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1364/ol.1.000135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065210777
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1615/jflowvisimageproc.v12.i2.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068146731
186 rdf:type schema:CreativeWork
187 https://www.grid.ac/institutes/grid.423488.1 schema:alternateName A.V. Luikov Heat and Mass Transfer Institute
188 schema:name A. V. Luikov Heat and Mass Transfer Institute, National Academy of Sciences of Belarus, 15 P. Brovka Str., 220072, Minsk, Belarus
189 rdf:type schema:Organization
 




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


...