A numerical model for the development of the morphology of disperse blends in complex flow View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Wing-Hin B. Wong, Martien A. Hulsen, Patrick D. Anderson

ABSTRACT

The aim of this study is to develop a constitutive model for disperse blends applicable in complex flows and to cast this model in a finite element framework. As the number of droplets in realistic conditions is extremely large, it is computationally intractable to model all droplets individually. Droplet populations are modeled that have macroscopically averaged morphological properties. These properties are the droplet stretch ratio, the unstretched droplet radius, the orientation vector, and the number of droplets per unit volume. The evolution equations of these properties vary based on the morphological state transitions. The current model describes the morphology evolution in complex geometries, assuming Newtonian mixture constituents and monodisperse droplet populations. The numerical model has been validated for simple shear flow. Results are discussed for Poiseuille flow and the eccentric cylinder flow. More... »

PAGES

79-95

Journal

TITLE

Rheologica Acta

ISSUE

1-2

VOLUME

58

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00397-018-01126-8

DOI

http://dx.doi.org/10.1007/s00397-018-01126-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111630763


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": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Polymer Technology, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wong", 
        "givenName": "Wing-Hin  B.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Polymer Technology, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hulsen", 
        "givenName": "Martien  A.", 
        "id": "sg:person.0576730122.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576730122.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Eindhoven University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6852.9", 
          "name": [
            "Polymer Technology, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anderson", 
        "givenName": "Patrick  D.", 
        "id": "sg:person.012332301375.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012332301375.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0045-7825(86)90110-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013880234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(86)90110-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013880234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00397-002-0256-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014310007", 
          "https://doi.org/10.1007/s00397-002-0256-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003970100188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018373264", 
          "https://doi.org/10.1007/s003970100188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-9322(87)90008-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018705332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-9322(87)90008-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018705332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-9322(75)90003-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019429884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-9322(75)90003-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019429884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1935.0104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021337958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00986448208911047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025940099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.fl.26.010194.000433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027568157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-0257(98)00065-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027632683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003970000144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031128882", 
          "https://doi.org/10.1007/s003970000144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00397-010-0442-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036250143", 
          "https://doi.org/10.1007/s00397-010-0442-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00397-010-0442-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036250143", 
          "https://doi.org/10.1007/s00397-010-0442-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.2579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037114869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.2579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037114869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1932.0169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038663779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.fluid.34.082301.144051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039095232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1039300361", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-84108-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039300361", 
          "https://doi.org/10.1007/978-3-642-84108-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-84108-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039300361", 
          "https://doi.org/10.1007/978-3-642-84108-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1934.0169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040476126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00396327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041724930", 
          "https://doi.org/10.1007/bf00396327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00396327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041724930", 
          "https://doi.org/10.1007/bf00396327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00368129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043231444", 
          "https://doi.org/10.1007/bf00368129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcis.2005.12.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046315849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cherd.2008.08.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047731699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112070000745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053760990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112070000745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053760990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112091003671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053999703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112086002811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054005565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112086001118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054021504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112069000759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054047484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112069000759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054047484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112069000759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054047484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002211208600280x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054050330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1895798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057830926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.461156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058039167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.858419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058111624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.861167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058114366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.56.6620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060721701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.56.6620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060721701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1122/1.1333001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062412385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1122/1.1366714", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062412414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1122/1.1648644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062412646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jnnfm.2018.02.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101380367"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "The aim of this study is to develop a constitutive model for disperse blends applicable in complex flows and to cast this model in a finite element framework. As the number of droplets in realistic conditions is extremely large, it is computationally intractable to model all droplets individually. Droplet populations are modeled that have macroscopically averaged morphological properties. These properties are the droplet stretch ratio, the unstretched droplet radius, the orientation vector, and the number of droplets per unit volume. The evolution equations of these properties vary based on the morphological state transitions. The current model describes the morphology evolution in complex geometries, assuming Newtonian mixture constituents and monodisperse droplet populations. The numerical model has been validated for simple shear flow. Results are discussed for Poiseuille flow and the eccentric cylinder flow.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00397-018-01126-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1050722", 
        "issn": [
          "0035-4511", 
          "1435-1528"
        ], 
        "name": "Rheologica Acta", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "58"
      }
    ], 
    "name": "A numerical model for the development of the morphology of disperse blends in complex flow", 
    "pagination": "79-95", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cc8ce0f33eee67146f40975c065a66f31fb3abc1b662abd2de789851dd8459fc"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00397-018-01126-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111630763"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00397-018-01126-8", 
      "https://app.dimensions.ai/details/publication/pub.1111630763"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:05", 
    "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/v90/0000000360_0000000360/records_118324_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00397-018-01126-8"
  }
]
 

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/s00397-018-01126-8'

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/s00397-018-01126-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00397-018-01126-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00397-018-01126-8'


 

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

188 TRIPLES      21 PREDICATES      63 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00397-018-01126-8 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nac70b10d377044279c3a07a528229219
4 schema:citation sg:pub.10.1007/978-3-642-84108-8
5 sg:pub.10.1007/bf00368129
6 sg:pub.10.1007/bf00396327
7 sg:pub.10.1007/s00397-002-0256-9
8 sg:pub.10.1007/s00397-010-0442-0
9 sg:pub.10.1007/s003970000144
10 sg:pub.10.1007/s003970100188
11 https://app.dimensions.ai/details/publication/pub.1039300361
12 https://doi.org/10.1002/nme.2579
13 https://doi.org/10.1016/0045-7825(86)90110-6
14 https://doi.org/10.1016/0301-9322(75)90003-8
15 https://doi.org/10.1016/0301-9322(87)90008-5
16 https://doi.org/10.1016/j.cherd.2008.08.014
17 https://doi.org/10.1016/j.jcis.2005.12.017
18 https://doi.org/10.1016/j.jnnfm.2018.02.012
19 https://doi.org/10.1016/s0377-0257(98)00065-2
20 https://doi.org/10.1017/s0022112069000759
21 https://doi.org/10.1017/s0022112070000745
22 https://doi.org/10.1017/s0022112086001118
23 https://doi.org/10.1017/s002211208600280x
24 https://doi.org/10.1017/s0022112086002811
25 https://doi.org/10.1017/s0022112091003671
26 https://doi.org/10.1063/1.1895798
27 https://doi.org/10.1063/1.461156
28 https://doi.org/10.1063/1.858419
29 https://doi.org/10.1063/1.861167
30 https://doi.org/10.1080/00986448208911047
31 https://doi.org/10.1098/rspa.1932.0169
32 https://doi.org/10.1098/rspa.1934.0169
33 https://doi.org/10.1098/rspa.1935.0104
34 https://doi.org/10.1103/physreve.56.6620
35 https://doi.org/10.1122/1.1333001
36 https://doi.org/10.1122/1.1366714
37 https://doi.org/10.1122/1.1648644
38 https://doi.org/10.1146/annurev.fl.26.010194.000433
39 https://doi.org/10.1146/annurev.fluid.34.082301.144051
40 schema:datePublished 2019-02
41 schema:datePublishedReg 2019-02-01
42 schema:description The aim of this study is to develop a constitutive model for disperse blends applicable in complex flows and to cast this model in a finite element framework. As the number of droplets in realistic conditions is extremely large, it is computationally intractable to model all droplets individually. Droplet populations are modeled that have macroscopically averaged morphological properties. These properties are the droplet stretch ratio, the unstretched droplet radius, the orientation vector, and the number of droplets per unit volume. The evolution equations of these properties vary based on the morphological state transitions. The current model describes the morphology evolution in complex geometries, assuming Newtonian mixture constituents and monodisperse droplet populations. The numerical model has been validated for simple shear flow. Results are discussed for Poiseuille flow and the eccentric cylinder flow.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf N58b6c5c11b0443a0bc5b53425f171983
47 Nbe2fc87441174d348bb037e7860dbba1
48 sg:journal.1050722
49 schema:name A numerical model for the development of the morphology of disperse blends in complex flow
50 schema:pagination 79-95
51 schema:productId N5c61544d8add43288e550145bba20e96
52 N9c80f9fac2694cd593838a259295ad47
53 N9e5d64f9fba54857abcde62d10915b33
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111630763
55 https://doi.org/10.1007/s00397-018-01126-8
56 schema:sdDatePublished 2019-04-11T12:05
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N5324b44a71bf4ec48c7b638e5dfd1bae
59 schema:url https://link.springer.com/10.1007%2Fs00397-018-01126-8
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N4a5aad699c304f0dbd16ead06b2a926b rdf:first sg:person.012332301375.88
64 rdf:rest rdf:nil
65 N5324b44a71bf4ec48c7b638e5dfd1bae schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N58b6c5c11b0443a0bc5b53425f171983 schema:issueNumber 1-2
68 rdf:type schema:PublicationIssue
69 N5c61544d8add43288e550145bba20e96 schema:name readcube_id
70 schema:value cc8ce0f33eee67146f40975c065a66f31fb3abc1b662abd2de789851dd8459fc
71 rdf:type schema:PropertyValue
72 N9c80f9fac2694cd593838a259295ad47 schema:name doi
73 schema:value 10.1007/s00397-018-01126-8
74 rdf:type schema:PropertyValue
75 N9e5d64f9fba54857abcde62d10915b33 schema:name dimensions_id
76 schema:value pub.1111630763
77 rdf:type schema:PropertyValue
78 Nac70b10d377044279c3a07a528229219 rdf:first Nd0e134df62c640f9966b474b22d311f6
79 rdf:rest Nce17fa00defa4e06a072c908e4be4c2a
80 Nbe2fc87441174d348bb037e7860dbba1 schema:volumeNumber 58
81 rdf:type schema:PublicationVolume
82 Nce17fa00defa4e06a072c908e4be4c2a rdf:first sg:person.0576730122.62
83 rdf:rest N4a5aad699c304f0dbd16ead06b2a926b
84 Nd0e134df62c640f9966b474b22d311f6 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
85 schema:familyName Wong
86 schema:givenName Wing-Hin B.
87 rdf:type schema:Person
88 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
89 schema:name Engineering
90 rdf:type schema:DefinedTerm
91 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
92 schema:name Interdisciplinary Engineering
93 rdf:type schema:DefinedTerm
94 sg:journal.1050722 schema:issn 0035-4511
95 1435-1528
96 schema:name Rheologica Acta
97 rdf:type schema:Periodical
98 sg:person.012332301375.88 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
99 schema:familyName Anderson
100 schema:givenName Patrick D.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012332301375.88
102 rdf:type schema:Person
103 sg:person.0576730122.62 schema:affiliation https://www.grid.ac/institutes/grid.6852.9
104 schema:familyName Hulsen
105 schema:givenName Martien A.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576730122.62
107 rdf:type schema:Person
108 sg:pub.10.1007/978-3-642-84108-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039300361
109 https://doi.org/10.1007/978-3-642-84108-8
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/bf00368129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043231444
112 https://doi.org/10.1007/bf00368129
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/bf00396327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041724930
115 https://doi.org/10.1007/bf00396327
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s00397-002-0256-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014310007
118 https://doi.org/10.1007/s00397-002-0256-9
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s00397-010-0442-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036250143
121 https://doi.org/10.1007/s00397-010-0442-0
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s003970000144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031128882
124 https://doi.org/10.1007/s003970000144
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/s003970100188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018373264
127 https://doi.org/10.1007/s003970100188
128 rdf:type schema:CreativeWork
129 https://app.dimensions.ai/details/publication/pub.1039300361 schema:CreativeWork
130 https://doi.org/10.1002/nme.2579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037114869
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/0045-7825(86)90110-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013880234
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/0301-9322(75)90003-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019429884
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/0301-9322(87)90008-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018705332
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.cherd.2008.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047731699
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.jcis.2005.12.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046315849
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.jnnfm.2018.02.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101380367
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0377-0257(98)00065-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027632683
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1017/s0022112069000759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054047484
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1017/s0022112070000745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053760990
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1017/s0022112086001118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054021504
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1017/s002211208600280x schema:sameAs https://app.dimensions.ai/details/publication/pub.1054050330
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1017/s0022112086002811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054005565
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1017/s0022112091003671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053999703
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1063/1.1895798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057830926
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1063/1.461156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058039167
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1063/1.858419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058111624
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1063/1.861167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058114366
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1080/00986448208911047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025940099
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1098/rspa.1932.0169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038663779
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1098/rspa.1934.0169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040476126
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1098/rspa.1935.0104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021337958
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1103/physreve.56.6620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060721701
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1122/1.1333001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062412385
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1122/1.1366714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062412414
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1122/1.1648644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062412646
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1146/annurev.fl.26.010194.000433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027568157
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1146/annurev.fluid.34.082301.144051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039095232
185 rdf:type schema:CreativeWork
186 https://www.grid.ac/institutes/grid.6852.9 schema:alternateName Eindhoven University of Technology
187 schema:name Polymer Technology, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
188 rdf:type schema:Organization
 




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


...