Tomographic particle image velocimetry View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-12

AUTHORS

G. E. Elsinga, F. Scarano, B. Wieneke, B. W. van Oudheusden

ABSTRACT

This paper describes the principles of a novel 3D PIV system based on the illumination, recording and reconstruction of tracer particles within a 3D measurement volume. The technique makes use of several simultaneous views of the illuminated particles and their 3D reconstruction as a light intensity distribution by means of optical tomography. The technique is therefore referred to as tomographic particle image velocimetry (tomographic-PIV). The reconstruction is performed with the MART algorithm, yielding a 3D array of light intensity discretized over voxels. The reconstructed tomogram pair is then analyzed by means of 3D cross-correlation with an iterative multigrid volume deformation technique, returning the three-component velocity vector distribution over the measurement volume. The principles and details of the tomographic algorithm are discussed and a parametric study is carried out by means of a computer-simulated tomographic-PIV procedure. The study focuses on the accuracy of the light intensity field reconstruction process. The simulation also identifies the most important parameters governing the experimental method and the tomographic algorithm parameters, showing their effect on the reconstruction accuracy. A computer simulated experiment of a 3D particle motion field describing a vortex ring demonstrates the capability and potential of the proposed system with four cameras. The capability of the technique in real experimental conditions is assessed with the measurement of the turbulent flow in the near wake of a circular cylinder at Reynolds 2,700. More... »

PAGES

933-947

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00348-006-0212-z

DOI

http://dx.doi.org/10.1007/s00348-006-0212-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032667475


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": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elsinga", 
        "givenName": "G. E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scarano", 
        "givenName": "F.", 
        "id": "sg:person.010211431317.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010211431317.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "LaVision (Germany)", 
          "id": "https://www.grid.ac/institutes/grid.425800.b", 
          "name": [
            "LaVision GmbH, G\u00f6ttingen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wieneke", 
        "givenName": "B.", 
        "id": "sg:person.012351061576.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012351061576.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Oudheusden", 
        "givenName": "B. W.", 
        "id": "sg:person.015111406037.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015111406037.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-642-18795-7_21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003560560", 
          "https://doi.org/10.1007/978-3-642-18795-7_21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-18795-7_21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003560560", 
          "https://doi.org/10.1007/978-3-642-18795-7_21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0010-4825(76)90066-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005084393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/104077999275857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011866420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003480070009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016057977", 
          "https://doi.org/10.1007/s003480070009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00196474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016922315", 
          "https://doi.org/10.1007/bf00196474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003480070010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016947720", 
          "https://doi.org/10.1007/s003480070010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/15/4/006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019069901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-1000-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021433986", 
          "https://doi.org/10.1007/s00348-005-1000-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-1000-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021433986", 
          "https://doi.org/10.1007/s00348-005-1000-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-0962-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025095436", 
          "https://doi.org/10.1007/s00348-005-0962-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-0962-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025095436", 
          "https://doi.org/10.1007/s00348-005-0962-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-0962-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025095436", 
          "https://doi.org/10.1007/s00348-005-0962-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/2/12/012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027521094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-006-0126-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032131589", 
          "https://doi.org/10.1007/s00348-006-0126-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-006-0126-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032131589", 
          "https://doi.org/10.1007/s00348-006-0126-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003489900088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036310475", 
          "https://doi.org/10.1007/s003489900088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-0016-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037043486", 
          "https://doi.org/10.1007/s00348-005-0016-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00348-005-0016-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037043486", 
          "https://doi.org/10.1007/s00348-005-0016-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00190953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043357195", 
          "https://doi.org/10.1007/bf00190953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003480070013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045499248", 
          "https://doi.org/10.1007/s003480070013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/13/7/201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047965681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/15/6/005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048418542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.fl.28.010196.002401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050106355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003480070007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051376056", 
          "https://doi.org/10.1007/s003480070007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/12/9/303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053296849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0957-0233/8/12/008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053412570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.32.003736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065107988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.42.000827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065117931"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-12", 
    "datePublishedReg": "2006-12-01", 
    "description": "This paper describes the principles of a novel 3D PIV system based on the illumination, recording and reconstruction of tracer particles within a 3D measurement volume. The technique makes use of several simultaneous views of the illuminated particles and their 3D reconstruction as a light intensity distribution by means of optical tomography. The technique is therefore referred to as tomographic particle image velocimetry (tomographic-PIV). The reconstruction is performed with the MART algorithm, yielding a 3D array of light intensity discretized over voxels. The reconstructed tomogram pair is then analyzed by means of 3D cross-correlation with an iterative multigrid volume deformation technique, returning the three-component velocity vector distribution over the measurement volume. The principles and details of the tomographic algorithm are discussed and a parametric study is carried out by means of a computer-simulated tomographic-PIV procedure. The study focuses on the accuracy of the light intensity field reconstruction process. The simulation also identifies the most important parameters governing the experimental method and the tomographic algorithm parameters, showing their effect on the reconstruction accuracy. A computer simulated experiment of a 3D particle motion field describing a vortex ring demonstrates the capability and potential of the proposed system with four cameras. The capability of the technique in real experimental conditions is assessed with the measurement of the turbulent flow in the near wake of a circular cylinder at Reynolds 2,700.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00348-006-0212-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1042183", 
        "issn": [
          "0723-4864", 
          "1432-1114"
        ], 
        "name": "Experiments in Fluids", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "41"
      }
    ], 
    "name": "Tomographic particle image velocimetry", 
    "pagination": "933-947", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9b9feb835616ce3d2b7ae393343de6be0a597fca380b78bb2230e109deaca661"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00348-006-0212-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032667475"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00348-006-0212-z", 
      "https://app.dimensions.ai/details/publication/pub.1032667475"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:42", 
    "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_8669_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00348-006-0212-z"
  }
]
 

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/s00348-006-0212-z'

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/s00348-006-0212-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00348-006-0212-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00348-006-0212-z'


 

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

165 TRIPLES      21 PREDICATES      50 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00348-006-0212-z schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nb3b40f414b2942049937ead68599090c
4 schema:citation sg:pub.10.1007/978-3-642-18795-7_21
5 sg:pub.10.1007/bf00190953
6 sg:pub.10.1007/bf00196474
7 sg:pub.10.1007/s00348-005-0016-6
8 sg:pub.10.1007/s00348-005-0962-z
9 sg:pub.10.1007/s00348-005-1000-x
10 sg:pub.10.1007/s00348-006-0126-9
11 sg:pub.10.1007/s003480070007
12 sg:pub.10.1007/s003480070009
13 sg:pub.10.1007/s003480070010
14 sg:pub.10.1007/s003480070013
15 sg:pub.10.1007/s003489900088
16 https://doi.org/10.1016/0010-4825(76)90066-4
17 https://doi.org/10.1080/104077999275857
18 https://doi.org/10.1088/0957-0233/12/9/303
19 https://doi.org/10.1088/0957-0233/13/7/201
20 https://doi.org/10.1088/0957-0233/15/4/006
21 https://doi.org/10.1088/0957-0233/15/6/005
22 https://doi.org/10.1088/0957-0233/2/12/012
23 https://doi.org/10.1088/0957-0233/8/12/008
24 https://doi.org/10.1146/annurev.fl.28.010196.002401
25 https://doi.org/10.1364/ao.32.003736
26 https://doi.org/10.1364/ao.42.000827
27 schema:datePublished 2006-12
28 schema:datePublishedReg 2006-12-01
29 schema:description This paper describes the principles of a novel 3D PIV system based on the illumination, recording and reconstruction of tracer particles within a 3D measurement volume. The technique makes use of several simultaneous views of the illuminated particles and their 3D reconstruction as a light intensity distribution by means of optical tomography. The technique is therefore referred to as tomographic particle image velocimetry (tomographic-PIV). The reconstruction is performed with the MART algorithm, yielding a 3D array of light intensity discretized over voxels. The reconstructed tomogram pair is then analyzed by means of 3D cross-correlation with an iterative multigrid volume deformation technique, returning the three-component velocity vector distribution over the measurement volume. The principles and details of the tomographic algorithm are discussed and a parametric study is carried out by means of a computer-simulated tomographic-PIV procedure. The study focuses on the accuracy of the light intensity field reconstruction process. The simulation also identifies the most important parameters governing the experimental method and the tomographic algorithm parameters, showing their effect on the reconstruction accuracy. A computer simulated experiment of a 3D particle motion field describing a vortex ring demonstrates the capability and potential of the proposed system with four cameras. The capability of the technique in real experimental conditions is assessed with the measurement of the turbulent flow in the near wake of a circular cylinder at Reynolds 2,700.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree false
33 schema:isPartOf N7827a6fb63fb465bb4e9934f6f1c5883
34 Ndf353aa232cb49329cd1edc965bd4f69
35 sg:journal.1042183
36 schema:name Tomographic particle image velocimetry
37 schema:pagination 933-947
38 schema:productId N1c76738caad0404184d11beaafaac765
39 N9c7fa92ce1544b48903a7978c815065c
40 Nf5db3ece74da44b9b69d8e433a4b90e5
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032667475
42 https://doi.org/10.1007/s00348-006-0212-z
43 schema:sdDatePublished 2019-04-10T16:42
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Nd5b327d381914eb5b60407cefc2acb83
46 schema:url http://link.springer.com/10.1007%2Fs00348-006-0212-z
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N1c76738caad0404184d11beaafaac765 schema:name doi
51 schema:value 10.1007/s00348-006-0212-z
52 rdf:type schema:PropertyValue
53 N444c0751632f46c6bfc606b3787e389d rdf:first sg:person.010211431317.31
54 rdf:rest Nea4d310f3dce4880976ff19aae7c3176
55 N7827a6fb63fb465bb4e9934f6f1c5883 schema:volumeNumber 41
56 rdf:type schema:PublicationVolume
57 N841fd21ae1784530844f5ddb6fba3db3 rdf:first sg:person.015111406037.50
58 rdf:rest rdf:nil
59 N9c7fa92ce1544b48903a7978c815065c schema:name dimensions_id
60 schema:value pub.1032667475
61 rdf:type schema:PropertyValue
62 Na97ca4e768d94322ae85a7f4a278faea schema:affiliation https://www.grid.ac/institutes/grid.5292.c
63 schema:familyName Elsinga
64 schema:givenName G. E.
65 rdf:type schema:Person
66 Nb3b40f414b2942049937ead68599090c rdf:first Na97ca4e768d94322ae85a7f4a278faea
67 rdf:rest N444c0751632f46c6bfc606b3787e389d
68 Nd5b327d381914eb5b60407cefc2acb83 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Ndf353aa232cb49329cd1edc965bd4f69 schema:issueNumber 6
71 rdf:type schema:PublicationIssue
72 Nea4d310f3dce4880976ff19aae7c3176 rdf:first sg:person.012351061576.21
73 rdf:rest N841fd21ae1784530844f5ddb6fba3db3
74 Nf5db3ece74da44b9b69d8e433a4b90e5 schema:name readcube_id
75 schema:value 9b9feb835616ce3d2b7ae393343de6be0a597fca380b78bb2230e109deaca661
76 rdf:type schema:PropertyValue
77 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
78 schema:name Engineering
79 rdf:type schema:DefinedTerm
80 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
81 schema:name Interdisciplinary Engineering
82 rdf:type schema:DefinedTerm
83 sg:journal.1042183 schema:issn 0723-4864
84 1432-1114
85 schema:name Experiments in Fluids
86 rdf:type schema:Periodical
87 sg:person.010211431317.31 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
88 schema:familyName Scarano
89 schema:givenName F.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010211431317.31
91 rdf:type schema:Person
92 sg:person.012351061576.21 schema:affiliation https://www.grid.ac/institutes/grid.425800.b
93 schema:familyName Wieneke
94 schema:givenName B.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012351061576.21
96 rdf:type schema:Person
97 sg:person.015111406037.50 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
98 schema:familyName van Oudheusden
99 schema:givenName B. W.
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015111406037.50
101 rdf:type schema:Person
102 sg:pub.10.1007/978-3-642-18795-7_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003560560
103 https://doi.org/10.1007/978-3-642-18795-7_21
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/bf00190953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043357195
106 https://doi.org/10.1007/bf00190953
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/bf00196474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016922315
109 https://doi.org/10.1007/bf00196474
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s00348-005-0016-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037043486
112 https://doi.org/10.1007/s00348-005-0016-6
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/s00348-005-0962-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025095436
115 https://doi.org/10.1007/s00348-005-0962-z
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s00348-005-1000-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021433986
118 https://doi.org/10.1007/s00348-005-1000-x
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s00348-006-0126-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032131589
121 https://doi.org/10.1007/s00348-006-0126-9
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s003480070007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051376056
124 https://doi.org/10.1007/s003480070007
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/s003480070009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016057977
127 https://doi.org/10.1007/s003480070009
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s003480070010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016947720
130 https://doi.org/10.1007/s003480070010
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s003480070013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045499248
133 https://doi.org/10.1007/s003480070013
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s003489900088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036310475
136 https://doi.org/10.1007/s003489900088
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/0010-4825(76)90066-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005084393
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1080/104077999275857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011866420
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1088/0957-0233/12/9/303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053296849
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1088/0957-0233/13/7/201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047965681
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1088/0957-0233/15/4/006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019069901
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1088/0957-0233/15/6/005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048418542
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1088/0957-0233/2/12/012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027521094
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1088/0957-0233/8/12/008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053412570
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1146/annurev.fl.28.010196.002401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050106355
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1364/ao.32.003736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065107988
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1364/ao.42.000827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065117931
159 rdf:type schema:CreativeWork
160 https://www.grid.ac/institutes/grid.425800.b schema:alternateName LaVision (Germany)
161 schema:name LaVision GmbH, Göttingen, Germany
162 rdf:type schema:Organization
163 https://www.grid.ac/institutes/grid.5292.c schema:alternateName Delft University of Technology
164 schema:name Department of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, The Netherlands
165 rdf:type schema:Organization
 




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


...