Scattering of phase-conjugate ultrasonic waves by microinclusions in a liquid flow View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-01

AUTHORS

P. N. Shirkovskiy, N. V. Smagin, V. L. Preobrazhenskii, P. Pernod

ABSTRACT

The paper presents the results of experimental and theoretical studies of processes of phase-conjugate ultrasonic wave propagation in a liquid flow containing gas microbubbles. It is shown that a signal from a phase-conjugate wave, which is recorded by a transceiving transducer, contains information on the flow velocity of scatterers and their concentration. In this case, the flow velocity is determined both in the presence and absence of moving scattering objects. A theory developed on the basis of the generalized reciprocity principle for a moving inhomogeneous medium represents the main experimentally observed features of the formation of signals from a phase-conjugate wave scattered by a disperse liquid flow. More... »

PAGES

58-63

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1063771015060111

DOI

http://dx.doi.org/10.1134/s1063771015060111

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027404477


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": "Institute of Electronics, Microelectronics and Nanotechnology", 
          "id": "https://www.grid.ac/institutes/grid.461903.9", 
          "name": [
            "Wave Research Center, Prokhorov General Physics Institute, Russian Academy of Sciences, ul. Vavilova 38, 119991, Moscow, Russia", 
            "Institute of Electronics, Microelectronics and Nanotechnology (IEMN UMR CNRS 8520) PRES Lille North of France, ECLille, B.P. 48, 59651, Villeneuve d\u2019Ascq Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shirkovskiy", 
        "givenName": "P. N.", 
        "id": "sg:person.0641110305.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641110305.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Electronics, Microelectronics and Nanotechnology", 
          "id": "https://www.grid.ac/institutes/grid.461903.9", 
          "name": [
            "Wave Research Center, Prokhorov General Physics Institute, Russian Academy of Sciences, ul. Vavilova 38, 119991, Moscow, Russia", 
            "Institute of Electronics, Microelectronics and Nanotechnology (IEMN UMR CNRS 8520) PRES Lille North of France, ECLille, B.P. 48, 59651, Villeneuve d\u2019Ascq Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smagin", 
        "givenName": "N. V.", 
        "id": "sg:person.015141670764.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015141670764.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Electronics, Microelectronics and Nanotechnology", 
          "id": "https://www.grid.ac/institutes/grid.461903.9", 
          "name": [
            "Wave Research Center, Prokhorov General Physics Institute, Russian Academy of Sciences, ul. Vavilova 38, 119991, Moscow, Russia", 
            "Institute of Electronics, Microelectronics and Nanotechnology (IEMN UMR CNRS 8520) PRES Lille North of France, ECLille, B.P. 48, 59651, Villeneuve d\u2019Ascq Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Preobrazhenskii", 
        "givenName": "V. L.", 
        "id": "sg:person.014636522553.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014636522553.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Electronics, Microelectronics and Nanotechnology", 
          "id": "https://www.grid.ac/institutes/grid.461903.9", 
          "name": [
            "Institute of Electronics, Microelectronics and Nanotechnology (IEMN UMR CNRS 8520) PRES Lille North of France, ECLille, B.P. 48, 59651, Villeneuve d\u2019Ascq Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pernod", 
        "givenName": "P.", 
        "id": "sg:person.0647541355.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647541355.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ultras.2006.05.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001919038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0041-624x(99)00193-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005312445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063771014020122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009427848", 
          "https://doi.org/10.1134/s1063771014020122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063771013020115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019305876", 
          "https://doi.org/10.1134/s1063771013020115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063771009040228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035207116", 
          "https://doi.org/10.1134/s1063771009040228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1063771009040228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035207116", 
          "https://doi.org/10.1134/s1063771009040228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/1.1326734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037173586", 
          "https://doi.org/10.1134/1.1326734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0301-5629(00)00217-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045654239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1070/pu1998v041n08abeh000429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058172923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.1978.326288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061524337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tuffc.2008.763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061809403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tuffc.2014.006764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061811476"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-01", 
    "datePublishedReg": "2016-01-01", 
    "description": "The paper presents the results of experimental and theoretical studies of processes of phase-conjugate ultrasonic wave propagation in a liquid flow containing gas microbubbles. It is shown that a signal from a phase-conjugate wave, which is recorded by a transceiving transducer, contains information on the flow velocity of scatterers and their concentration. In this case, the flow velocity is determined both in the presence and absence of moving scattering objects. A theory developed on the basis of the generalized reciprocity principle for a moving inhomogeneous medium represents the main experimentally observed features of the formation of signals from a phase-conjugate wave scattered by a disperse liquid flow.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1063771015060111", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1123397", 
        "issn": [
          "1063-7710", 
          "1562-6865"
        ], 
        "name": "Acoustical Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "62"
      }
    ], 
    "name": "Scattering of phase-conjugate ultrasonic waves by microinclusions in a liquid flow", 
    "pagination": "58-63", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "828bafd6d478a1cfb5ed72542b704aa4ecc3a0899409e1a3047a4d4fd96206e4"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1063771015060111"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027404477"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1063771015060111", 
      "https://app.dimensions.ai/details/publication/pub.1027404477"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:30", 
    "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_8672_00000505.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS1063771015060111"
  }
]
 

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.10.1134/s1063771015060111'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s1063771015060111'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1063771015060111'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1063771015060111'


 

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

120 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1063771015060111 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N755e217801f74d56b2860bc496ff7c02
4 schema:citation sg:pub.10.1134/1.1326734
5 sg:pub.10.1134/s1063771009040228
6 sg:pub.10.1134/s1063771013020115
7 sg:pub.10.1134/s1063771014020122
8 https://doi.org/10.1016/j.ultras.2006.05.046
9 https://doi.org/10.1016/s0041-624x(99)00193-6
10 https://doi.org/10.1016/s0301-5629(00)00217-9
11 https://doi.org/10.1070/pu1998v041n08abeh000429
12 https://doi.org/10.1109/tbme.1978.326288
13 https://doi.org/10.1109/tuffc.2008.763
14 https://doi.org/10.1109/tuffc.2014.006764
15 schema:datePublished 2016-01
16 schema:datePublishedReg 2016-01-01
17 schema:description The paper presents the results of experimental and theoretical studies of processes of phase-conjugate ultrasonic wave propagation in a liquid flow containing gas microbubbles. It is shown that a signal from a phase-conjugate wave, which is recorded by a transceiving transducer, contains information on the flow velocity of scatterers and their concentration. In this case, the flow velocity is determined both in the presence and absence of moving scattering objects. A theory developed on the basis of the generalized reciprocity principle for a moving inhomogeneous medium represents the main experimentally observed features of the formation of signals from a phase-conjugate wave scattered by a disperse liquid flow.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N971b80b0369a4153b87c836a6f2cc61b
22 Ne8f40cb6be6b420bac99849944066305
23 sg:journal.1123397
24 schema:name Scattering of phase-conjugate ultrasonic waves by microinclusions in a liquid flow
25 schema:pagination 58-63
26 schema:productId N6f9592b746ef4ee6be7eaff93a306660
27 Nb3087fb640464b1ab254e7acbbaab453
28 Nbfbede927e2b4919b5010862d86c3ce6
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027404477
30 https://doi.org/10.1134/s1063771015060111
31 schema:sdDatePublished 2019-04-10T17:30
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N8061935b38994d798ae22d6503f0789b
34 schema:url http://link.springer.com/10.1134%2FS1063771015060111
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N6df3feb0645d4bd28f2966a6ba2c4724 rdf:first sg:person.015141670764.66
39 rdf:rest Ne231628f10e24de38ef02859906f402a
40 N6f9592b746ef4ee6be7eaff93a306660 schema:name doi
41 schema:value 10.1134/s1063771015060111
42 rdf:type schema:PropertyValue
43 N755e217801f74d56b2860bc496ff7c02 rdf:first sg:person.0641110305.45
44 rdf:rest N6df3feb0645d4bd28f2966a6ba2c4724
45 N8061935b38994d798ae22d6503f0789b schema:name Springer Nature - SN SciGraph project
46 rdf:type schema:Organization
47 N971b80b0369a4153b87c836a6f2cc61b schema:volumeNumber 62
48 rdf:type schema:PublicationVolume
49 Nb3087fb640464b1ab254e7acbbaab453 schema:name readcube_id
50 schema:value 828bafd6d478a1cfb5ed72542b704aa4ecc3a0899409e1a3047a4d4fd96206e4
51 rdf:type schema:PropertyValue
52 Nbfbede927e2b4919b5010862d86c3ce6 schema:name dimensions_id
53 schema:value pub.1027404477
54 rdf:type schema:PropertyValue
55 Ne231628f10e24de38ef02859906f402a rdf:first sg:person.014636522553.83
56 rdf:rest Nedb869c5e3e04668a18c6b64c467f82a
57 Ne8f40cb6be6b420bac99849944066305 schema:issueNumber 1
58 rdf:type schema:PublicationIssue
59 Nedb869c5e3e04668a18c6b64c467f82a rdf:first sg:person.0647541355.25
60 rdf:rest rdf:nil
61 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
62 schema:name Engineering
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
65 schema:name Interdisciplinary Engineering
66 rdf:type schema:DefinedTerm
67 sg:journal.1123397 schema:issn 1063-7710
68 1562-6865
69 schema:name Acoustical Physics
70 rdf:type schema:Periodical
71 sg:person.014636522553.83 schema:affiliation https://www.grid.ac/institutes/grid.461903.9
72 schema:familyName Preobrazhenskii
73 schema:givenName V. L.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014636522553.83
75 rdf:type schema:Person
76 sg:person.015141670764.66 schema:affiliation https://www.grid.ac/institutes/grid.461903.9
77 schema:familyName Smagin
78 schema:givenName N. V.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015141670764.66
80 rdf:type schema:Person
81 sg:person.0641110305.45 schema:affiliation https://www.grid.ac/institutes/grid.461903.9
82 schema:familyName Shirkovskiy
83 schema:givenName P. N.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641110305.45
85 rdf:type schema:Person
86 sg:person.0647541355.25 schema:affiliation https://www.grid.ac/institutes/grid.461903.9
87 schema:familyName Pernod
88 schema:givenName P.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647541355.25
90 rdf:type schema:Person
91 sg:pub.10.1134/1.1326734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037173586
92 https://doi.org/10.1134/1.1326734
93 rdf:type schema:CreativeWork
94 sg:pub.10.1134/s1063771009040228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035207116
95 https://doi.org/10.1134/s1063771009040228
96 rdf:type schema:CreativeWork
97 sg:pub.10.1134/s1063771013020115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019305876
98 https://doi.org/10.1134/s1063771013020115
99 rdf:type schema:CreativeWork
100 sg:pub.10.1134/s1063771014020122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009427848
101 https://doi.org/10.1134/s1063771014020122
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/j.ultras.2006.05.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001919038
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/s0041-624x(99)00193-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005312445
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/s0301-5629(00)00217-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045654239
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1070/pu1998v041n08abeh000429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058172923
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1109/tbme.1978.326288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061524337
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1109/tuffc.2008.763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061809403
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1109/tuffc.2014.006764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061811476
116 rdf:type schema:CreativeWork
117 https://www.grid.ac/institutes/grid.461903.9 schema:alternateName Institute of Electronics, Microelectronics and Nanotechnology
118 schema:name Institute of Electronics, Microelectronics and Nanotechnology (IEMN UMR CNRS 8520) PRES Lille North of France, ECLille, B.P. 48, 59651, Villeneuve d’Ascq Cedex, France
119 Wave Research Center, Prokhorov General Physics Institute, Russian Academy of Sciences, ul. Vavilova 38, 119991, Moscow, Russia
120 rdf:type schema:Organization
 




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


...