Reducing Microsegregation in Next-Generation High-Strength Low-Alloy Cast Steels View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-25

AUTHORS

Paul C. Lynch, Tyler J. Grimm

ABSTRACT

The next generation of high-strength low-alloy (HSLA) cast steels is characterized by high levels of strength, as well as increased levels of ductility and impact toughness. The steels discussed in this paper are 4330, Eglin steel, and AF 9628 steel. Microsegregation of alloying elements within these materials, which is the tendency for a higher concentration of alloys to accumulate between dendrite arms, is commonly realized during the cooling stages of casting and can result in substandard mechanical properties. Since this next generation of HSLA cast steels is being utilized for critical commercial and military applications requiring both high levels of strength and ductility, methods of reducing microsegregation through proper heat treatment must be examined. Current methods of reducing microsegregation after casting primarily rely on vacancy diffusion. This effect is typically accelerated through heat treatments of the cast material. Herein, diffusion models are utilized to create a model capable of predicting microsegregation reduction in these high-strength low-alloy cast steels. This model was used to simulate high-temperature heat treatments in order to determine appropriate process parameters for microsegregation reduction of carbide-forming alloying elements in the next generation of high-strength low-alloy cast steels. More... »

PAGES

1-10

References to SciGraph publications

  • 1971-02. On the removal of pores from castings by sintering in NONE
  • 1991-05. Behavior of metal alloys in the semisolid state in METALLURGICAL TRANSACTIONS A
  • 2000-12. Fundamental aspects of hot isostatic pressing: An overview in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1985-03. Interdiffusion in amorphous FeB multilayer thin films in JOURNAL OF MATERIALS SCIENCE LETTERS
  • Journal

    TITLE

    International Journal of Metalcasting

    ISSUE

    N/A

    VOLUME

    N/A

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s40962-019-00321-4

    DOI

    http://dx.doi.org/10.1007/s40962-019-00321-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112992034


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    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": "Penn State Behrend", 
              "id": "https://www.grid.ac/institutes/grid.447418.a", 
              "name": [
                "The Behrend College, Pennsylvania State University Erie, Erie, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lynch", 
            "givenName": "Paul C.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Penn State Behrend", 
              "id": "https://www.grid.ac/institutes/grid.447418.a", 
              "name": [
                "The Behrend College, Pennsylvania State University Erie, Erie, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Grimm", 
            "givenName": "Tyler J.", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02661090", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000602293", 
              "https://doi.org/10.1007/bf02661090"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-000-0078-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004493388", 
              "https://doi.org/10.1007/s11661-000-0078-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-000-0078-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004493388", 
              "https://doi.org/10.1007/s11661-000-0078-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0001-6160(63)90055-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007035857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0001-6160(63)90055-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007035857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02663327", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034196758", 
              "https://doi.org/10.1007/bf02663327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02663327", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034196758", 
              "https://doi.org/10.1007/bf02663327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00719815", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037624672", 
              "https://doi.org/10.1007/bf00719815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00719815", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037624672", 
              "https://doi.org/10.1007/bf00719815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1179/msc.1974.8.1.407", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040976680"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.3443409", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062124589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1109700964", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/9780470017920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109700964"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03-25", 
        "datePublishedReg": "2019-03-25", 
        "description": "The next generation of high-strength low-alloy (HSLA) cast steels is characterized by high levels of strength, as well as increased levels of ductility and impact toughness. The steels discussed in this paper are 4330, Eglin steel, and AF 9628 steel. Microsegregation of alloying elements within these materials, which is the tendency for a higher concentration of alloys to accumulate between dendrite arms, is commonly realized during the cooling stages of casting and can result in substandard mechanical properties. Since this next generation of HSLA cast steels is being utilized for critical commercial and military applications requiring both high levels of strength and ductility, methods of reducing microsegregation through proper heat treatment must be examined. Current methods of reducing microsegregation after casting primarily rely on vacancy diffusion. This effect is typically accelerated through heat treatments of the cast material. Herein, diffusion models are utilized to create a model capable of predicting microsegregation reduction in these high-strength low-alloy cast steels. This model was used to simulate high-temperature heat treatments in order to determine appropriate process parameters for microsegregation reduction of carbide-forming alloying elements in the next generation of high-strength low-alloy cast steels.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s40962-019-00321-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136051", 
            "issn": [
              "1939-5981", 
              "2163-3193"
            ], 
            "name": "International Journal of Metalcasting", 
            "type": "Periodical"
          }
        ], 
        "name": "Reducing Microsegregation in Next-Generation High-Strength Low-Alloy Cast Steels", 
        "pagination": "1-10", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "fb0a1cecf45eb59bfd1f1c30389c4bd962db14d72655fff6bbd03c873d83985d"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s40962-019-00321-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112992034"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s40962-019-00321-4", 
          "https://app.dimensions.ai/details/publication/pub.1112992034"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:04", 
        "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/v90/0000000366_0000000366/records_112042_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs40962-019-00321-4"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    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/s40962-019-00321-4'

    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/s40962-019-00321-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40962-019-00321-4'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40962-019-00321-4'


     

    This table displays all metadata directly associated to this object as RDF triples.

    90 TRIPLES      21 PREDICATES      33 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s40962-019-00321-4 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author Nd015a3b13e544c3fac81a30d21541c9b
    4 schema:citation sg:pub.10.1007/bf00719815
    5 sg:pub.10.1007/bf02661090
    6 sg:pub.10.1007/bf02663327
    7 sg:pub.10.1007/s11661-000-0078-2
    8 https://app.dimensions.ai/details/publication/pub.1109700964
    9 https://doi.org/10.1002/9780470017920
    10 https://doi.org/10.1016/0001-6160(63)90055-5
    11 https://doi.org/10.1115/1.3443409
    12 https://doi.org/10.1179/msc.1974.8.1.407
    13 schema:datePublished 2019-03-25
    14 schema:datePublishedReg 2019-03-25
    15 schema:description The next generation of high-strength low-alloy (HSLA) cast steels is characterized by high levels of strength, as well as increased levels of ductility and impact toughness. The steels discussed in this paper are 4330, Eglin steel, and AF 9628 steel. Microsegregation of alloying elements within these materials, which is the tendency for a higher concentration of alloys to accumulate between dendrite arms, is commonly realized during the cooling stages of casting and can result in substandard mechanical properties. Since this next generation of HSLA cast steels is being utilized for critical commercial and military applications requiring both high levels of strength and ductility, methods of reducing microsegregation through proper heat treatment must be examined. Current methods of reducing microsegregation after casting primarily rely on vacancy diffusion. This effect is typically accelerated through heat treatments of the cast material. Herein, diffusion models are utilized to create a model capable of predicting microsegregation reduction in these high-strength low-alloy cast steels. This model was used to simulate high-temperature heat treatments in order to determine appropriate process parameters for microsegregation reduction of carbide-forming alloying elements in the next generation of high-strength low-alloy cast steels.
    16 schema:genre research_article
    17 schema:inLanguage en
    18 schema:isAccessibleForFree false
    19 schema:isPartOf sg:journal.1136051
    20 schema:name Reducing Microsegregation in Next-Generation High-Strength Low-Alloy Cast Steels
    21 schema:pagination 1-10
    22 schema:productId N2cffbcf93c2d41ee84727da1e02b719e
    23 N97bcd9f9a6b84112a7bea1bc8fda8ff1
    24 Nfd6a337a074a43ea94acfc6c1f86fc0d
    25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112992034
    26 https://doi.org/10.1007/s40962-019-00321-4
    27 schema:sdDatePublished 2019-04-11T13:04
    28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    29 schema:sdPublisher Nfe4b8b476adf42ef8d9a89a7aaa8840b
    30 schema:url https://link.springer.com/10.1007%2Fs40962-019-00321-4
    31 sgo:license sg:explorer/license/
    32 sgo:sdDataset articles
    33 rdf:type schema:ScholarlyArticle
    34 N2cffbcf93c2d41ee84727da1e02b719e schema:name doi
    35 schema:value 10.1007/s40962-019-00321-4
    36 rdf:type schema:PropertyValue
    37 N6c5be903626c48d5b3a52e1b508ac79d schema:affiliation https://www.grid.ac/institutes/grid.447418.a
    38 schema:familyName Lynch
    39 schema:givenName Paul C.
    40 rdf:type schema:Person
    41 N97bcd9f9a6b84112a7bea1bc8fda8ff1 schema:name dimensions_id
    42 schema:value pub.1112992034
    43 rdf:type schema:PropertyValue
    44 Nd015a3b13e544c3fac81a30d21541c9b rdf:first N6c5be903626c48d5b3a52e1b508ac79d
    45 rdf:rest Ne0c1ec750ce64403b6c39cd27641352a
    46 Ne0c1ec750ce64403b6c39cd27641352a rdf:first Nf8c9c2ccc89a4cd0a07878c1b5b5eec1
    47 rdf:rest rdf:nil
    48 Nf8c9c2ccc89a4cd0a07878c1b5b5eec1 schema:affiliation https://www.grid.ac/institutes/grid.447418.a
    49 schema:familyName Grimm
    50 schema:givenName Tyler J.
    51 rdf:type schema:Person
    52 Nfd6a337a074a43ea94acfc6c1f86fc0d schema:name readcube_id
    53 schema:value fb0a1cecf45eb59bfd1f1c30389c4bd962db14d72655fff6bbd03c873d83985d
    54 rdf:type schema:PropertyValue
    55 Nfe4b8b476adf42ef8d9a89a7aaa8840b schema:name Springer Nature - SN SciGraph project
    56 rdf:type schema:Organization
    57 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    58 schema:name Engineering
    59 rdf:type schema:DefinedTerm
    60 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    61 schema:name Materials Engineering
    62 rdf:type schema:DefinedTerm
    63 sg:journal.1136051 schema:issn 1939-5981
    64 2163-3193
    65 schema:name International Journal of Metalcasting
    66 rdf:type schema:Periodical
    67 sg:pub.10.1007/bf00719815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037624672
    68 https://doi.org/10.1007/bf00719815
    69 rdf:type schema:CreativeWork
    70 sg:pub.10.1007/bf02661090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000602293
    71 https://doi.org/10.1007/bf02661090
    72 rdf:type schema:CreativeWork
    73 sg:pub.10.1007/bf02663327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034196758
    74 https://doi.org/10.1007/bf02663327
    75 rdf:type schema:CreativeWork
    76 sg:pub.10.1007/s11661-000-0078-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004493388
    77 https://doi.org/10.1007/s11661-000-0078-2
    78 rdf:type schema:CreativeWork
    79 https://app.dimensions.ai/details/publication/pub.1109700964 schema:CreativeWork
    80 https://doi.org/10.1002/9780470017920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109700964
    81 rdf:type schema:CreativeWork
    82 https://doi.org/10.1016/0001-6160(63)90055-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007035857
    83 rdf:type schema:CreativeWork
    84 https://doi.org/10.1115/1.3443409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062124589
    85 rdf:type schema:CreativeWork
    86 https://doi.org/10.1179/msc.1974.8.1.407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040976680
    87 rdf:type schema:CreativeWork
    88 https://www.grid.ac/institutes/grid.447418.a schema:alternateName Penn State Behrend
    89 schema:name The Behrend College, Pennsylvania State University Erie, Erie, PA, USA
    90 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...