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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland", 
          "id": "http://www.grid.ac/institutes/grid.502801.e", 
          "name": [
            "School of Mechatronic Engineering, China University of Mining and Technology, Tongshan Zone, No.1, Daxue Road, 221116, Xuzhou, Jiangsu Province, China", 
            "Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Haopeng", 
        "id": "sg:person.011300171230.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011300171230.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland", 
          "id": "http://www.grid.ac/institutes/grid.502801.e", 
          "name": [
            "Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "J\u00f6nkk\u00e4ri", 
        "givenName": "Ilari", 
        "id": "sg:person.014440757717.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014440757717.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland", 
          "id": "http://www.grid.ac/institutes/grid.502801.e", 
          "name": [
            "Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, 33720, Tampere, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sarlin", 
        "givenName": "Essi", 
        "id": "sg:person.0576321003.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576321003.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Mechatronic Engineering, China University of Mining and Technology, Tongshan Zone, No.1, Daxue Road, 221116, Xuzhou, Jiangsu Province, China", 
          "id": "http://www.grid.ac/institutes/grid.411510.0", 
          "name": [
            "School of Mechatronic Engineering, China University of Mining and Technology, Tongshan Zone, No.1, Daxue Road, 221116, Xuzhou, Jiangsu Province, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Fei", 
        "id": "sg:person.012365241143.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012365241143.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00231-019-02618-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1113601925", 
          "https://doi.org/10.1007/s00231-019-02618-w"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-014-8556-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006007495", 
          "https://doi.org/10.1007/s10853-014-8556-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-09-16", 
    "datePublishedReg": "2021-09-16", 
    "description": "The knowledge of the temperature effect on magnetorheological fluid is critical for accurate control of magnetorheological devices, since the temperature rise during operation is unavoidable due to coil energization, wall slip, and inter-particle friction. Based on a typical commercial magnetorheological fluid, this work investigates the effect of temperature on magnetorheological properties and its mechanisms. It is found that temperature has a significant effect on the zero-field viscosity and shear stress of magnetorheological fluid. The Herschel-Bulkley model that has high accuracy at room temperature does not describe accurately the shear stress of magnetorheological fluids at high temperatures, as its relative error is even up to 21% at 70\u00a0\u00b0C. By analyzing the sources of shear stress in magnetorheological fluids, a novel constitutive model with temperature prediction is proposed by combining the Navier\u2013Stokes equation and viscosity-temperature equation. The experimental results show that the error of the novel constitutive model decreases by 90% at different temperatures and magnetic field strengths, exhibiting an excellent accuracy. This temperature-dependent constitutive model allows the properties of an MR fluid to be widely characterized only in a few experiments.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00397-021-01302-3", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1050722", 
        "issn": [
          "0035-4511", 
          "1435-1528"
        ], 
        "name": "Rheologica Acta", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "60"
      }
    ], 
    "keywords": [
      "temperature-dependent constitutive model", 
      "magnetorheological fluid", 
      "constitutive model", 
      "shear stress", 
      "inter-particle friction", 
      "novel constitutive model", 
      "commercial magnetorheological fluid", 
      "viscosity-temperature equation", 
      "zero-field viscosity", 
      "Herschel-Bulkley model", 
      "Navier-Stokes equations", 
      "magnetorheological devices", 
      "MR fluid", 
      "magnetorheological properties", 
      "coil energization", 
      "wall slip", 
      "temperature effects", 
      "temperature prediction", 
      "temperature rise", 
      "accurate control", 
      "high temperature", 
      "room temperature", 
      "different temperatures", 
      "effect of temperature", 
      "experimental results", 
      "magnetic field strength", 
      "relative error", 
      "model decreases", 
      "temperature", 
      "field strength", 
      "excellent accuracy", 
      "high accuracy", 
      "fluid", 
      "friction", 
      "properties", 
      "stress", 
      "equations", 
      "slip", 
      "accuracy", 
      "viscosity", 
      "error", 
      "devices", 
      "strength", 
      "model", 
      "operation", 
      "energization", 
      "effect", 
      "significant effect", 
      "prediction", 
      "experiments", 
      "work", 
      "source", 
      "results", 
      "control", 
      "decrease", 
      "mechanism", 
      "rise", 
      "knowledge"
    ], 
    "name": "Temperature effects and temperature-dependent constitutive model of magnetorheological fluids", 
    "pagination": "719-728", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1141165218"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00397-021-01302-3"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00397-021-01302-3", 
      "https://app.dimensions.ai/details/publication/pub.1141165218"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_880.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00397-021-01302-3"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

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

149 TRIPLES      22 PREDICATES      85 URIs      75 LITERALS      6 BLANK NODES