Ontology type: schema:ScholarlyArticle
1989-02
AUTHORSPh. Thévoz, J. L. Desbiolles, M. Rappaz
ABSTRACTA general micro/macroscopic model of solidification for 2-D or 3-D castings, valid for both dendritic and eutectic equiaxed alloys, is presented. At the macroscopic level, the heat diffusion equation is solved with an enthalpy formulation using a standard FEM implicit scheme. However, instead of using a unique relationship between temperature and enthalpy (i.e., a unique solidification path), the specific heat and latent heat contributions, whose sum equals the variation of enthalpy at a given node, are calculated using a microscopic model of solidification. This model takes into account nucleation of new grains within the undercooled melt, the kinetics of the dendrite tips or of the eutectic front, and a solute balance at the scale of the grain in the case of dendritic alloys. The coupling between macroscopic and microscopic aspects is carried out using two time-steps, one at the macroscopic level for the implicit calculation of heat flow, and the other, much finer, for the microscopic calculations of nucleation and growth. This micro/macroscopic approach has been applied to one-dimensional and axisymmetric castings of Al-7 pct Si alloys. The calculated recalescences and grain sizes are compared with values measured for one-dimensional ingots cast under well-controlled conditions. Furthermore, the influence of casting conditions on temperature field, undercooling, grain size, and microstructural spacings is shown to be predicted correctly from axisymmetric calculations with regard to the expected experimental behavior. More... »
PAGES311-322
http://scigraph.springernature.com/pub.10.1007/bf02670257
DOIhttp://dx.doi.org/10.1007/bf02670257
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1040303849
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": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne",
"id": "https://www.grid.ac/institutes/grid.5333.6",
"name": [
"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, D\u00e9partement des Mat\u00e9riaux, Laboratoire de M\u00e9tallurgie Physique, 34 Chemin de Bellerive, CH-1007, Lausanne, Switzerland"
],
"type": "Organization"
},
"familyName": "Th\u00e9voz",
"givenName": "Ph.",
"id": "sg:person.014717560262.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014717560262.48"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne",
"id": "https://www.grid.ac/institutes/grid.5333.6",
"name": [
"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, D\u00e9partement des Mat\u00e9riaux, Laboratoire de M\u00e9tallurgie Physique, 34 Chemin de Bellerive, CH-1007, Lausanne, Switzerland"
],
"type": "Organization"
},
"familyName": "Desbiolles",
"givenName": "J. L.",
"id": "sg:person.011355726671.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011355726671.24"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne",
"id": "https://www.grid.ac/institutes/grid.5333.6",
"name": [
"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, D\u00e9partement des Mat\u00e9riaux, Laboratoire de M\u00e9tallurgie Physique, 34 Chemin de Bellerive, CH-1007, Lausanne, Switzerland"
],
"type": "Organization"
},
"familyName": "Rappaz",
"givenName": "M.",
"id": "sg:person.013657516157.10",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013657516157.10"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/0022-0248(87)90346-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001405332"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-0248(87)90346-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001405332"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02825716",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003758274",
"https://doi.org/10.1007/bf02825716"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0167-7977(87)90019-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005612674"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0025-5416(84)90201-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007275551"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0025-5416(84)90201-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007275551"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(75)90188-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007711642"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(75)90188-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007711642"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(87)90094-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007971569"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(87)90094-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007971569"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02654312",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037363216",
"https://doi.org/10.1007/bf02654312"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02654312",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037363216",
"https://doi.org/10.1007/bf02654312"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(87)90292-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040651818"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(87)90292-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040651818"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf03338386",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044746952",
"https://doi.org/10.1007/bf03338386"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(79)90054-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049648156"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0001-6160(79)90054-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049648156"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.1747588",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057809754"
],
"type": "CreativeWork"
}
],
"datePublished": "1989-02",
"datePublishedReg": "1989-02-01",
"description": "A general micro/macroscopic model of solidification for 2-D or 3-D castings, valid for both dendritic and eutectic equiaxed alloys, is presented. At the macroscopic level, the heat diffusion equation is solved with an enthalpy formulation using a standard FEM implicit scheme. However, instead of using a unique relationship between temperature and enthalpy (i.e., a unique solidification path), the specific heat and latent heat contributions, whose sum equals the variation of enthalpy at a given node, are calculated using a microscopic model of solidification. This model takes into account nucleation of new grains within the undercooled melt, the kinetics of the dendrite tips or of the eutectic front, and a solute balance at the scale of the grain in the case of dendritic alloys. The coupling between macroscopic and microscopic aspects is carried out using two time-steps, one at the macroscopic level for the implicit calculation of heat flow, and the other, much finer, for the microscopic calculations of nucleation and growth. This micro/macroscopic approach has been applied to one-dimensional and axisymmetric castings of Al-7 pct Si alloys. The calculated recalescences and grain sizes are compared with values measured for one-dimensional ingots cast under well-controlled conditions. Furthermore, the influence of casting conditions on temperature field, undercooling, grain size, and microstructural spacings is shown to be predicted correctly from axisymmetric calculations with regard to the expected experimental behavior.",
"genre": "research_article",
"id": "sg:pub.10.1007/bf02670257",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1317676",
"issn": [
"0360-2133"
],
"name": "Metallurgical Transactions A",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "20"
}
],
"name": "Modeling of equiaxed microstructure formation in casting",
"pagination": "311-322",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"bffd879483299449f186cb9e89e5c169523e3d678f1b9a729da919250215ced4"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf02670257"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1040303849"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf02670257",
"https://app.dimensions.ai/details/publication/pub.1040303849"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:31",
"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_46757_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2FBF02670257"
}
]
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/bf02670257'
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/bf02670257'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02670257'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02670257'
This table displays all metadata directly associated to this object as RDF triples.
110 TRIPLES
21 PREDICATES
38 URIs
19 LITERALS
7 BLANK NODES