Ontology type: schema:ScholarlyArticle
1983-03
AUTHORSSindo Kou, D. K. Sun, Y. P. Le
ABSTRACTA theoretical and experimental study of heat flow and solid-state phase transformations during the laser surface hardening of 1018 steel was conducted. In the theoretical part of the study, a three-dimensional heat flow model was developed using the finite difference method. The surface heat loss, the temperature dependence of the surface absorptivity, and the temperature dependence of thermal properties were considered. This heat flow model was verified with the analytical solution of Jaeger and was used to provide general heat flow information, based on the assumptions of no surface heat loss, constant surface absorptivity, and constant thermal properties. The validity of each of these three assumptions was evaluated with the help of this heat flow model. In the experimental part of the study, on the other hand, a continuous-wave CO2 laser of 15 kW capacity was used in conjunction with a beam integrator to surface harden 1018 steel plates. The beam power and the travel speed of the workpiece were varied, and the onset of surface melting was determined. The configurations of the heat-affected zone observed were compared with those calculated using the heat flow model. The microstructure of the heat-affected zone was explained with the help of the calculated peak temperature, heating, and cooling rates. More... »
PAGES643-653
http://scigraph.springernature.com/pub.10.1007/bf02643780
DOIhttp://dx.doi.org/10.1007/bf02643780
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1013156214
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": "Carnegie Mellon University",
"id": "https://www.grid.ac/institutes/grid.147455.6",
"name": [
"Department of Metallurgical Engineering and Materials Science, Carnegie-Mellon University, 15213, Pittsburgh, PA"
],
"type": "Organization"
},
"familyName": "Kou",
"givenName": "Sindo",
"id": "sg:person.0710072274.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710072274.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carnegie Mellon University",
"id": "https://www.grid.ac/institutes/grid.147455.6",
"name": [
"Department of Physics, Carnegie-Mellon University, 15213, Pittsburgh, PA"
],
"type": "Organization"
},
"familyName": "Sun",
"givenName": "D. K.",
"id": "sg:person.016565433361.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016565433361.55"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Carnegie Mellon University",
"id": "https://www.grid.ac/institutes/grid.147455.6",
"name": [
"Department of Metallurgical Engineering and Materials Science, Carnegie-Mellon University, 15213, Pittsburgh, PA"
],
"type": "Organization"
},
"familyName": "Le",
"givenName": "Y. P.",
"id": "sg:person.016230073111.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016230073111.49"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1179/030716979803276507",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005739377"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1117/12.7972217",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008410044"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02657168",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023353095",
"https://doi.org/10.1007/bf02657168"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02657168",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023353095",
"https://doi.org/10.1007/bf02657168"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02643345",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037926477",
"https://doi.org/10.1007/bf02643345"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02643345",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037926477",
"https://doi.org/10.1007/bf02643345"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02674756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043294457",
"https://doi.org/10.1007/bf02674756"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02674756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043294457",
"https://doi.org/10.1007/bf02674756"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02654476",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046256154",
"https://doi.org/10.1007/bf02654476"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02654476",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046256154",
"https://doi.org/10.1007/bf02654476"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.323224",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057921914"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.324261",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057923454"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.326083",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057926641"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.327672",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057930000"
],
"type": "CreativeWork"
}
],
"datePublished": "1983-03",
"datePublishedReg": "1983-03-01",
"description": "A theoretical and experimental study of heat flow and solid-state phase transformations during the laser surface hardening of 1018 steel was conducted. In the theoretical part of the study, a three-dimensional heat flow model was developed using the finite difference method. The surface heat loss, the temperature dependence of the surface absorptivity, and the temperature dependence of thermal properties were considered. This heat flow model was verified with the analytical solution of Jaeger and was used to provide general heat flow information, based on the assumptions of no surface heat loss, constant surface absorptivity, and constant thermal properties. The validity of each of these three assumptions was evaluated with the help of this heat flow model. In the experimental part of the study, on the other hand, a continuous-wave CO2 laser of 15 kW capacity was used in conjunction with a beam integrator to surface harden 1018 steel plates. The beam power and the travel speed of the workpiece were varied, and the onset of surface melting was determined. The configurations of the heat-affected zone observed were compared with those calculated using the heat flow model. The microstructure of the heat-affected zone was explained with the help of the calculated peak temperature, heating, and cooling rates.",
"genre": "research_article",
"id": "sg:pub.10.1007/bf02643780",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1317676",
"issn": [
"0360-2133"
],
"name": "Metallurgical Transactions A",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "14"
}
],
"name": "A Fundamental Study of Laser Transformation Hardening",
"pagination": "643-653",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"3eac05ce9c0eb43e9e1ea9b8a7f5bc1ceab84dfc24e4aae4c0376e7961b4a514"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf02643780"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1013156214"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf02643780",
"https://app.dimensions.ai/details/publication/pub.1013156214"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:28",
"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_46744_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2FBF02643780"
}
]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/bf02643780'
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/bf02643780'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02643780'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02643780'
This table displays all metadata directly associated to this object as RDF triples.
109 TRIPLES
21 PREDICATES
37 URIs
19 LITERALS
7 BLANK NODES