Ontology type: schema:ScholarlyArticle
2019-02
AUTHORSS.F. Wang, H.C. Wang, W. Liu, Y.H. Feng, B. Chen, J. Dong, H.Y. Jia, Y. Huan
ABSTRACTThe elastic mechanical parameters of initial and pre-twisted copper wires were investigated with the aid of a self-developed micro-torsion tester. It was found that the apparent elastic shear modulus and the apparent Young tensile modulus of the copper wires decrease by 13.3 and 8.4% after pre-twist deformation, respectively. In addition, the indentation modulus also decreases as the deformation is increased. When the deformation is more than 30%, the indentation modulus of pre-twisted copper wires is smaller than that of initial copper wires. Microstructural analyses show that the elastic modulus decreases with the proportion of faults. More... »
PAGES1-6
http://scigraph.springernature.com/pub.10.1007/s40799-018-0259-9
DOIhttp://dx.doi.org/10.1007/s40799-018-0259-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1104214277
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": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China",
"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "S.F.",
"id": "sg:person.015227054327.42",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015227054327.42"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Mechanics",
"id": "https://www.grid.ac/institutes/grid.458484.1",
"name": [
"Institute of Mechanics, Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "H.C.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China",
"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "W.",
"id": "sg:person.016463237503.93",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016463237503.93"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Mechanics",
"id": "https://www.grid.ac/institutes/grid.458484.1",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Feng",
"givenName": "Y.H.",
"id": "sg:person.010147217047.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010147217047.25"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China",
"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Chen",
"givenName": "B.",
"id": "sg:person.0733555103.26",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733555103.26"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China",
"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Dong",
"givenName": "J.",
"id": "sg:person.01245675063.45",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245675063.45"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China",
"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Jia",
"givenName": "H.Y.",
"id": "sg:person.014505523522.53",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014505523522.53"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing, China",
"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Huan",
"givenName": "Y.",
"id": "sg:person.01017506104.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017506104.15"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.sna.2005.02.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009784789"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03027081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010357970",
"https://doi.org/10.1007/bf03027081"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03027081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010357970",
"https://doi.org/10.1007/bf03027081"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03027081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010357970",
"https://doi.org/10.1007/bf03027081"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cirp.2011.03.148",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015262001"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/0957-0233/26/2/025902",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032754438"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0924-4247(01)00862-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033178917"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.sna.2007.02.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036264840"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.4894822",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037973496"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.msea.2016.01.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042530482"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.msea.2013.12.079",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044554831"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0956-7151(93)90153-j",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045629563"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0956-7151(93)90153-j",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045629563"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.msea.2016.10.106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047199984"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.msea.2013.01.057",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047451594"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.measurement.2017.04.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084532894"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-02",
"datePublishedReg": "2019-02-01",
"description": "The elastic mechanical parameters of initial and pre-twisted copper wires were investigated with the aid of a self-developed micro-torsion tester. It was found that the apparent elastic shear modulus and the apparent Young tensile modulus of the copper wires decrease by 13.3 and 8.4% after pre-twist deformation, respectively. In addition, the indentation modulus also decreases as the deformation is increased. When the deformation is more than 30%, the indentation modulus of pre-twisted copper wires is smaller than that of initial copper wires. Microstructural analyses show that the elastic modulus decreases with the proportion of faults.",
"genre": "research_article",
"id": "sg:pub.10.1007/s40799-018-0259-9",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1137303",
"issn": [
"0732-8818",
"1747-1567"
],
"name": "Experimental Techniques",
"type": "Periodical"
}
],
"name": "Effect of Deformation Induced Microstructure Faults on the Elastic Mechanical Parameters of Micro-Scale Copper",
"pagination": "1-6",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ae1cf9d103be0bf51d76e3a7cb1033926b2478760ea9f02427ace11baf189394"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s40799-018-0259-9"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1104214277"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s40799-018-0259-9",
"https://app.dimensions.ai/details/publication/pub.1104214277"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T14:56",
"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_8663_00000494.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s40799-018-0259-9"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s40799-018-0259-9'
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/s40799-018-0259-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40799-018-0259-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40799-018-0259-9'
This table displays all metadata directly associated to this object as RDF triples.
148 TRIPLES
21 PREDICATES
38 URIs
17 LITERALS
5 BLANK NODES