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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials 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": "Catholic University of Daegu", 
          "id": "https://www.grid.ac/institutes/grid.253755.3", 
          "name": [
            "School of Mechanical and Automotive Engineering, Catholic University of Daegu, Hayang-eup, Gyeongsan-si, 712-702, Gyeongbuk, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Gi Dae", 
        "id": "sg:person.01136135313.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136135313.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hansung University", 
          "id": "https://www.grid.ac/institutes/grid.444079.a", 
          "name": [
            "Department of Mechanical Systems Engineering, Hansung University, Samsun-dong 389, Sungbuk-gu, 136-792, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loh", 
        "givenName": "Byoung Gook", 
        "id": "sg:person.07535621401.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07535621401.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12541-011-0075-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001430944", 
          "https://doi.org/10.1007/s12541-011-0075-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmachtools.2004.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007788492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0007-8506(07)62269-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011606403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0007-8506(07)62158-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017414866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0007-8506(07)63222-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025221433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0007-8506(07)61528-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033920508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.precisioneng.2007.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052005465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/kem.516.378", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072085917"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-10", 
    "datePublishedReg": "2013-10-01", 
    "description": "2-dimensional vibration assisted cutting also referred to as elliptical vibration cutting(EVC) is recognized as one of the promising strategies to ensure precision micro machining because of its characteristics such as reduction of cutting resistance and enhancement of machining quality. Previous studies found that effectiveness of EVC increases with the excitation frequency and the amplitude of vibration as well. To further optimize the EVC process the effect of the tilt angle of an elliptical tool trajectory on the machining quality was investigated. The tilt angle was modified by modulating relative magnitude and phase of voltages supplied to two piezoelectric materials constituting an elliptical vibration cutting mechanism. From successive V-grooving experiments involving duralumin and brass materials with cutting depth down to 5 \u03bcm from 30 \u03bcm, it was found that there exists an apparent correlation between the tilt angle and machining quality. At a tilt angle between 20 \u223c 30\u00b0, the cutting resistance was a minimum, leading to enhancement of machining quality. The increase in reverse frictional force between the chip and rake face of cutting tool appears to cause the cutting resistance to decrease.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12541-013-0249-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135952", 
        "issn": [
          "2234-7593", 
          "2005-4602"
        ], 
        "name": "International Journal of Precision Engineering and Manufacturing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "Cutting force variation with respect to tilt angle of trajectory in elliptical vibration V-grooving", 
    "pagination": "1861-1864", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6edd24109be33493bec08d63bf0c1b115b4392631cacc541894be3e1400e3fbb"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12541-013-0249-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023270038"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12541-013-0249-x", 
      "https://app.dimensions.ai/details/publication/pub.1023270038"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:44", 
    "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_00000521.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12541-013-0249-x"
  }
]

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.

96 TRIPLES      21 PREDICATES      35 URIs      19 LITERALS      7 BLANK NODES