Optical Diagnostics for Flows with Density Variations View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1997

AUTHORS

R. B. Miles , W. R. Lempert , J. Forkey , N. D. Finkelstein , S. R. Harris

ABSTRACT

Two new molecular-based diagnostic methods show great promise for the measurement of turbulence in variable density, low-speed flow fields. The first of these methods is Rayleigh imaging, which is capable of capturing two-dimensional instantaneous cross sections of the flow field density. Through the use of atomic or molecular filters in front of the camera, Rayleigh imaging can be extended to the measurement of temperature and velocity. Flow tagging yields velocity profiles in variable density flow fields and can be used to measure the details of the turbulent structure. These two techniques may be applied simultaneously to capture instantaneous velocity and density fields with high resolution. More... »

PAGES

245-256

Book

TITLE

IUTAM Symposium on Variable Density Low-Speed Turbulent Flows

ISBN

978-94-010-6302-9
978-94-011-5474-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-011-5474-1_31

DOI

http://dx.doi.org/10.1007/978-94-011-5474-1_31

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017431438


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": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Department of Mechanical & Aerospace Engineering, PRINCETON UNIVERSITY, 08544, Princeton, New Jersey, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miles", 
        "givenName": "R. B.", 
        "id": "sg:person.01364564235.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364564235.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Department of Mechanical & Aerospace Engineering, PRINCETON UNIVERSITY, 08544, Princeton, New Jersey, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lempert", 
        "givenName": "W. R.", 
        "id": "sg:person.0716331364.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716331364.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Department of Mechanical & Aerospace Engineering, PRINCETON UNIVERSITY, 08544, Princeton, New Jersey, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forkey", 
        "givenName": "J.", 
        "id": "sg:person.0576575553.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576575553.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Department of Mechanical & Aerospace Engineering, PRINCETON UNIVERSITY, 08544, Princeton, New Jersey, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Finkelstein", 
        "givenName": "N. D.", 
        "id": "sg:person.01220023607.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220023607.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Department of Mechanical & Aerospace Engineering, PRINCETON UNIVERSITY, 08544, Princeton, New Jersey, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harris", 
        "givenName": "S. R.", 
        "id": "sg:person.0675130575.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675130575.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2514/3.13087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003971547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2514/3.10570", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010544407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00571864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029240227", 
          "https://doi.org/10.1007/bf00571864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00571864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029240227", 
          "https://doi.org/10.1007/bf00571864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-2614(72)80252-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030198517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00195095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036646014", 
          "https://doi.org/10.1007/bf00195095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00195095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036646014", 
          "https://doi.org/10.1007/bf00195095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-2789(94)00190-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039883435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00203060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051644430", 
          "https://doi.org/10.1007/bf00203060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00203060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051644430", 
          "https://doi.org/10.1007/bf00203060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00203060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051644430", 
          "https://doi.org/10.1007/bf00203060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112090003676", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053936528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.32.005379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065108208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ao.35.000485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065110734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.12.000075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065211315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.13.000096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065211669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.13.000195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065211702"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1997", 
    "datePublishedReg": "1997-01-01", 
    "description": "Two new molecular-based diagnostic methods show great promise for the measurement of turbulence in variable density, low-speed flow fields. The first of these methods is Rayleigh imaging, which is capable of capturing two-dimensional instantaneous cross sections of the flow field density. Through the use of atomic or molecular filters in front of the camera, Rayleigh imaging can be extended to the measurement of temperature and velocity. Flow tagging yields velocity profiles in variable density flow fields and can be used to measure the details of the turbulent structure. These two techniques may be applied simultaneously to capture instantaneous velocity and density fields with high resolution.", 
    "editor": [
      {
        "familyName": "Fulachier", 
        "givenName": "Louis", 
        "type": "Person"
      }, 
      {
        "familyName": "Lumley", 
        "givenName": "John L.", 
        "type": "Person"
      }, 
      {
        "familyName": "Anselmet", 
        "givenName": "Fabien", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-94-011-5474-1_31", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-94-010-6302-9", 
        "978-94-011-5474-1"
      ], 
      "name": "IUTAM Symposium on Variable Density Low-Speed Turbulent Flows", 
      "type": "Book"
    }, 
    "name": "Optical Diagnostics for Flows with Density Variations", 
    "pagination": "245-256", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017431438"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-011-5474-1_31"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "530cb3a4b2c5ddf39fd6ed2ae1610f15766c4e9cd962c585cc700ef6048c6641"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Springer Netherlands", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-011-5474-1_31", 
      "https://app.dimensions.ai/details/publication/pub.1017431438"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:16", 
    "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/v90/0000000371_0000000371/records_130814_00000001.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-94-011-5474-1_31"
  }
]
 

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.10.1007/978-94-011-5474-1_31'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-5474-1_31'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-5474-1_31'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-5474-1_31'


 

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

145 TRIPLES      23 PREDICATES      40 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-011-5474-1_31 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Nd856899ba7d94a2ea6df6f403059e7be
4 schema:citation sg:pub.10.1007/bf00195095
5 sg:pub.10.1007/bf00203060
6 sg:pub.10.1007/bf00571864
7 https://doi.org/10.1016/0009-2614(72)80252-5
8 https://doi.org/10.1016/0167-2789(94)00190-2
9 https://doi.org/10.1017/s0022112090003676
10 https://doi.org/10.1364/ao.32.005379
11 https://doi.org/10.1364/ao.35.000485
12 https://doi.org/10.1364/ol.12.000075
13 https://doi.org/10.1364/ol.13.000096
14 https://doi.org/10.1364/ol.13.000195
15 https://doi.org/10.2514/3.10570
16 https://doi.org/10.2514/3.13087
17 schema:datePublished 1997
18 schema:datePublishedReg 1997-01-01
19 schema:description Two new molecular-based diagnostic methods show great promise for the measurement of turbulence in variable density, low-speed flow fields. The first of these methods is Rayleigh imaging, which is capable of capturing two-dimensional instantaneous cross sections of the flow field density. Through the use of atomic or molecular filters in front of the camera, Rayleigh imaging can be extended to the measurement of temperature and velocity. Flow tagging yields velocity profiles in variable density flow fields and can be used to measure the details of the turbulent structure. These two techniques may be applied simultaneously to capture instantaneous velocity and density fields with high resolution.
20 schema:editor N52c57ef9b6f34e77be3e6efb5a416bfa
21 schema:genre chapter
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N5092297374964d36856d8f567e5f9483
25 schema:name Optical Diagnostics for Flows with Density Variations
26 schema:pagination 245-256
27 schema:productId N07a6baa58ab84c419356bb0bc12ebaa5
28 N7d3004b2d8c0442aadb517e03f9dd1c2
29 Nb1e623dda8124f2a891b3fa7e242c93a
30 schema:publisher Nd04d79e1874e440ab803d149d7754686
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017431438
32 https://doi.org/10.1007/978-94-011-5474-1_31
33 schema:sdDatePublished 2019-04-16T09:16
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N4ddb47b2806e4175ada83f8bf5cd68cd
36 schema:url https://link.springer.com/10.1007%2F978-94-011-5474-1_31
37 sgo:license sg:explorer/license/
38 sgo:sdDataset chapters
39 rdf:type schema:Chapter
40 N00e0215fd9dd4bd2896a2bf5860dd6cd rdf:first sg:person.0716331364.35
41 rdf:rest N857b549ea6404e98b8e0f26d98f68607
42 N07a6baa58ab84c419356bb0bc12ebaa5 schema:name readcube_id
43 schema:value 530cb3a4b2c5ddf39fd6ed2ae1610f15766c4e9cd962c585cc700ef6048c6641
44 rdf:type schema:PropertyValue
45 N09ad2946ef0c4b20b55527083bd15c1f rdf:first sg:person.0675130575.40
46 rdf:rest rdf:nil
47 N1a9f2380f502436cbd4b8697f7e0f904 rdf:first Ne854f675b46b4392a3610d4b88bdc49d
48 rdf:rest rdf:nil
49 N4ddb47b2806e4175ada83f8bf5cd68cd schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N5092297374964d36856d8f567e5f9483 schema:isbn 978-94-010-6302-9
52 978-94-011-5474-1
53 schema:name IUTAM Symposium on Variable Density Low-Speed Turbulent Flows
54 rdf:type schema:Book
55 N52c57ef9b6f34e77be3e6efb5a416bfa rdf:first Nf5651ed9bb0045238c838b8d871e50b6
56 rdf:rest Nfb5d6266bb2d4b589a64d88405ce6b54
57 N7d3004b2d8c0442aadb517e03f9dd1c2 schema:name dimensions_id
58 schema:value pub.1017431438
59 rdf:type schema:PropertyValue
60 N857b549ea6404e98b8e0f26d98f68607 rdf:first sg:person.0576575553.43
61 rdf:rest Nf0a590a31b9f4afca8073cb30c719e8b
62 N8c1a8f9a37714e39a14d2ad89facb38c schema:familyName Lumley
63 schema:givenName John L.
64 rdf:type schema:Person
65 Nb1e623dda8124f2a891b3fa7e242c93a schema:name doi
66 schema:value 10.1007/978-94-011-5474-1_31
67 rdf:type schema:PropertyValue
68 Nd04d79e1874e440ab803d149d7754686 schema:location Dordrecht
69 schema:name Springer Netherlands
70 rdf:type schema:Organisation
71 Nd856899ba7d94a2ea6df6f403059e7be rdf:first sg:person.01364564235.46
72 rdf:rest N00e0215fd9dd4bd2896a2bf5860dd6cd
73 Ne854f675b46b4392a3610d4b88bdc49d schema:familyName Anselmet
74 schema:givenName Fabien
75 rdf:type schema:Person
76 Nf0a590a31b9f4afca8073cb30c719e8b rdf:first sg:person.01220023607.11
77 rdf:rest N09ad2946ef0c4b20b55527083bd15c1f
78 Nf5651ed9bb0045238c838b8d871e50b6 schema:familyName Fulachier
79 schema:givenName Louis
80 rdf:type schema:Person
81 Nfb5d6266bb2d4b589a64d88405ce6b54 rdf:first N8c1a8f9a37714e39a14d2ad89facb38c
82 rdf:rest N1a9f2380f502436cbd4b8697f7e0f904
83 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
84 schema:name Physical Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
87 schema:name Other Physical Sciences
88 rdf:type schema:DefinedTerm
89 sg:person.01220023607.11 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
90 schema:familyName Finkelstein
91 schema:givenName N. D.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220023607.11
93 rdf:type schema:Person
94 sg:person.01364564235.46 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
95 schema:familyName Miles
96 schema:givenName R. B.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364564235.46
98 rdf:type schema:Person
99 sg:person.0576575553.43 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
100 schema:familyName Forkey
101 schema:givenName J.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576575553.43
103 rdf:type schema:Person
104 sg:person.0675130575.40 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
105 schema:familyName Harris
106 schema:givenName S. R.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675130575.40
108 rdf:type schema:Person
109 sg:person.0716331364.35 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
110 schema:familyName Lempert
111 schema:givenName W. R.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716331364.35
113 rdf:type schema:Person
114 sg:pub.10.1007/bf00195095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036646014
115 https://doi.org/10.1007/bf00195095
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/bf00203060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051644430
118 https://doi.org/10.1007/bf00203060
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/bf00571864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029240227
121 https://doi.org/10.1007/bf00571864
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/0009-2614(72)80252-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030198517
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/0167-2789(94)00190-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039883435
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1017/s0022112090003676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053936528
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1364/ao.32.005379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065108208
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1364/ao.35.000485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065110734
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1364/ol.12.000075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065211315
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1364/ol.13.000096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065211669
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1364/ol.13.000195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065211702
138 rdf:type schema:CreativeWork
139 https://doi.org/10.2514/3.10570 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010544407
140 rdf:type schema:CreativeWork
141 https://doi.org/10.2514/3.13087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003971547
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.16750.35 schema:alternateName Princeton University
144 schema:name Department of Mechanical & Aerospace Engineering, PRINCETON UNIVERSITY, 08544, Princeton, New Jersey, USA
145 rdf:type schema:Organization
 




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


...