Ontology type: schema:ScholarlyArticle
1982-08
AUTHORS ABSTRACTThe detection and measurement of monolayer embrittling segregations to prior austenite grain boundaries in ferritic steels using scanning transmission electron microscopy combined with energy dispersive X-ray microanalysis are considered theoretically. The influence of experimental variables of electron probe size, electron accelerating voltage, and foil thickness on the detectability limits are considered in relation to electron probe spreading within the foil and the resulting X-ray counting statistics. The analysis predicts that a grain boundary coverage of 0.01 and 0.2 of a monolayer of tin and phosphorus, respectively, may be detected in a ferritic steel using a conventional STEM-EDS system. More... »
PAGES1397-1403
http://scigraph.springernature.com/pub.10.1007/bf02642877
DOIhttp://dx.doi.org/10.1007/bf02642877
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1036102063
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": "Central Electricity Generating Board",
"id": "https://www.grid.ac/institutes/grid.423519.8",
"name": [
"Scientific Services Department, Central Electricity Generating Board, South Eastern Region, Canal Road, Gravesend, Kent, UK"
],
"type": "Organization"
},
"familyName": "Doig",
"givenName": "P.",
"id": "sg:person.07553664634.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07553664634.10"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Central Electricity Generating Board",
"id": "https://www.grid.ac/institutes/grid.423519.8",
"name": [
"Scientific Services Department, Central Electricity Generating Board, South Eastern Region, Canal Road, Gravesend, Kent, UK"
],
"type": "Organization"
},
"familyName": "Flewitt",
"givenName": "P. E. J.",
"id": "sg:person.016472611103.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016472611103.49"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1080/01418618008239347",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021523540"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01418617808239206",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024274737"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2818.1978.tb00076.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035159908"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0047-7206(80)90151-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037287673"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0047-7206(80)90151-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037287673"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02642341",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046744507",
"https://doi.org/10.1007/bf02642341"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02642341",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046744507",
"https://doi.org/10.1007/bf02642341"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1179/mtlr.1964.9.1.415",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052139796"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0039-6028(75)90124-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052187420"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0039-6028(75)90124-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052187420"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1051/jphysrad:0192500606020500",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057010203"
],
"type": "CreativeWork"
}
],
"datePublished": "1982-08",
"datePublishedReg": "1982-08-01",
"description": "The detection and measurement of monolayer embrittling segregations to prior austenite grain boundaries in ferritic steels using scanning transmission electron microscopy combined with energy dispersive X-ray microanalysis are considered theoretically. The influence of experimental variables of electron probe size, electron accelerating voltage, and foil thickness on the detectability limits are considered in relation to electron probe spreading within the foil and the resulting X-ray counting statistics. The analysis predicts that a grain boundary coverage of 0.01 and 0.2 of a monolayer of tin and phosphorus, respectively, may be detected in a ferritic steel using a conventional STEM-EDS system.",
"genre": "research_article",
"id": "sg:pub.10.1007/bf02642877",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1317676",
"issn": [
"0360-2133"
],
"name": "Metallurgical Transactions A",
"type": "Periodical"
},
{
"issueNumber": "8",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "13"
}
],
"name": "The detection of monolayer grain boundary segregations in steels using stem-eds X-ray microanalysis",
"pagination": "1397-1403",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"abfa1a42526413226d768faa959c78d555bb775a0858dca299f2457503b25e96"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf02642877"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1036102063"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf02642877",
"https://app.dimensions.ai/details/publication/pub.1036102063"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:34",
"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/v90/0000000370_0000000370/records_46769_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2FBF02642877"
}
]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/bf02642877'
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/bf02642877'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02642877'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02642877'
This table displays all metadata directly associated to this object as RDF triples.
92 TRIPLES
21 PREDICATES
35 URIs
19 LITERALS
7 BLANK NODES