Crack Susceptibility of Binary Aluminum Alloys: Analytical Equations View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Jiangwei Liu , Sindo Kou

ABSTRACT

The crack susceptibility curves (crack susceptibility vs. solute content Co) of binary Al alloy systems were calculated by plotting the maximum | dTld(fs) 112 | vs. C o , where T is temperature, fs fraction solid, and the maximum | dTld(fs) 112 | a crack susceptibility index proposed and verified recently. Two simple equations were derived based on binary phase diagrams with straight solidus and liquidus lines to calculate the location (C o ) peak and height | dTld(fs) 112 | peak of the peak of the crack susceptibility curve without having to calculate the curve first. The effect of the eutectic line, liquidus line and solidus line of a eutectic phase diagram on the crack susceptibility was demonstrated. First, | dTld(fs) 112 | peak tends to decrease when the eutectic line is raised, the liquidus line steepened, or the solidus line made shallower. Second, back diffusion tends to increase (C o ) peak and decrease | dTld(fs) 112 | peak . These tendencies agreed with the two equations and with the reported crack susceptibility of Al-Si and Al-Mg alloy systems. More... »

PAGES

11-18

References to SciGraph publications

  • 2009-11. Mechanisms for Solidification Crack Initiation and Growth in Aluminum Welding in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1999-02. A new hot-tearing criterion in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • Book

    TITLE

    Shape Casting: 6th International Symposium

    ISBN

    978-3-319-48622-2
    978-3-319-48166-1

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-48166-1_2

    DOI

    http://dx.doi.org/10.1007/978-3-319-48166-1_2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1039222243


    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": {
              "name": [
                "School of Energy Science and Engineering, Central South University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Jiangwei", 
            "id": "sg:person.010333705067.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010333705067.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Materials Science and Engineering, University of Wisconsin"
              ], 
              "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"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11661-009-9964-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005120272", 
              "https://doi.org/10.1007/s11661-009-9964-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-009-9964-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005120272", 
              "https://doi.org/10.1007/s11661-009-9964-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-999-0334-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026049786", 
              "https://doi.org/10.1007/s11661-999-0334-z"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016", 
        "datePublishedReg": "2016-01-01", 
        "description": "The crack susceptibility curves (crack susceptibility vs. solute content Co) of binary Al alloy systems were calculated by plotting the maximum | dTld(fs) 112 | vs. C o , where T is temperature, fs fraction solid, and the maximum | dTld(fs) 112 | a crack susceptibility index proposed and verified recently. Two simple equations were derived based on binary phase diagrams with straight solidus and liquidus lines to calculate the location (C o ) peak and height | dTld(fs) 112 | peak of the peak of the crack susceptibility curve without having to calculate the curve first. The effect of the eutectic line, liquidus line and solidus line of a eutectic phase diagram on the crack susceptibility was demonstrated. First, | dTld(fs) 112 | peak tends to decrease when the eutectic line is raised, the liquidus line steepened, or the solidus line made shallower. Second, back diffusion tends to increase (C o ) peak and decrease | dTld(fs) 112 | peak . These tendencies agreed with the two equations and with the reported crack susceptibility of Al-Si and Al-Mg alloy systems.", 
        "editor": [
          {
            "familyName": "Tiryakio\u01e7lu", 
            "givenName": "Murat", 
            "type": "Person"
          }, 
          {
            "familyName": "Jolly", 
            "givenName": "Mark", 
            "type": "Person"
          }, 
          {
            "familyName": "Byczynski", 
            "givenName": "Glenn", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-48166-1_2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-319-48622-2", 
            "978-3-319-48166-1"
          ], 
          "name": "Shape Casting: 6th International Symposium", 
          "type": "Book"
        }, 
        "name": "Crack Susceptibility of Binary Aluminum Alloys: Analytical Equations", 
        "pagination": "11-18", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-48166-1_2"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "bad56dec272eeb68b45315ee06e7f519e431a1047c8e02b214bebb2ba83fc61b"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1039222243"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-48166-1_2", 
          "https://app.dimensions.ai/details/publication/pub.1039222243"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T17:15", 
        "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_8678_00000267.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-48166-1_2"
      }
    ]
     

    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.10.1007/978-3-319-48166-1_2'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-48166-1_2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-48166-1_2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-48166-1_2'


     

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

    91 TRIPLES      23 PREDICATES      29 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-48166-1_2 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author N352ace532f5145c09d57d0e8e2562dff
    4 schema:citation sg:pub.10.1007/s11661-009-9964-4
    5 sg:pub.10.1007/s11661-999-0334-z
    6 schema:datePublished 2016
    7 schema:datePublishedReg 2016-01-01
    8 schema:description The crack susceptibility curves (crack susceptibility vs. solute content Co) of binary Al alloy systems were calculated by plotting the maximum | dTld(fs) 112 | vs. C o , where T is temperature, fs fraction solid, and the maximum | dTld(fs) 112 | a crack susceptibility index proposed and verified recently. Two simple equations were derived based on binary phase diagrams with straight solidus and liquidus lines to calculate the location (C o ) peak and height | dTld(fs) 112 | peak of the peak of the crack susceptibility curve without having to calculate the curve first. The effect of the eutectic line, liquidus line and solidus line of a eutectic phase diagram on the crack susceptibility was demonstrated. First, | dTld(fs) 112 | peak tends to decrease when the eutectic line is raised, the liquidus line steepened, or the solidus line made shallower. Second, back diffusion tends to increase (C o ) peak and decrease | dTld(fs) 112 | peak . These tendencies agreed with the two equations and with the reported crack susceptibility of Al-Si and Al-Mg alloy systems.
    9 schema:editor N440849a6698e4ebf8bec9f2bdd404cf9
    10 schema:genre chapter
    11 schema:inLanguage en
    12 schema:isAccessibleForFree false
    13 schema:isPartOf N53bf302aacc14e7b84ca02ed2e532740
    14 schema:name Crack Susceptibility of Binary Aluminum Alloys: Analytical Equations
    15 schema:pagination 11-18
    16 schema:productId N9013849930c141309d2b507865fd1f60
    17 N92df7607e05d4433b26a4bea4c77d39b
    18 N9911a89a3d38454fa0144d272d957900
    19 schema:publisher Ne6ba14a4da6d4bbf873946deaf930efa
    20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039222243
    21 https://doi.org/10.1007/978-3-319-48166-1_2
    22 schema:sdDatePublished 2019-04-15T17:15
    23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    24 schema:sdPublisher N5e415fb8cb404f759b0c4b7da73921d2
    25 schema:url http://link.springer.com/10.1007/978-3-319-48166-1_2
    26 sgo:license sg:explorer/license/
    27 sgo:sdDataset chapters
    28 rdf:type schema:Chapter
    29 N0dd6b73d895249719608896248b0a5f5 schema:familyName Tiryakioǧlu
    30 schema:givenName Murat
    31 rdf:type schema:Person
    32 N352ace532f5145c09d57d0e8e2562dff rdf:first sg:person.010333705067.16
    33 rdf:rest Ncb48ba44706a46c2be04c656518e7376
    34 N3971fe910be542ca8fb9634337a437f8 schema:familyName Byczynski
    35 schema:givenName Glenn
    36 rdf:type schema:Person
    37 N440849a6698e4ebf8bec9f2bdd404cf9 rdf:first N0dd6b73d895249719608896248b0a5f5
    38 rdf:rest N80bf183bf07b47c6ba1dc719cc5c5e65
    39 N4caee3ebe7a54c85b87a0f4d11c482d9 rdf:first N3971fe910be542ca8fb9634337a437f8
    40 rdf:rest rdf:nil
    41 N53bf302aacc14e7b84ca02ed2e532740 schema:isbn 978-3-319-48166-1
    42 978-3-319-48622-2
    43 schema:name Shape Casting: 6th International Symposium
    44 rdf:type schema:Book
    45 N5e415fb8cb404f759b0c4b7da73921d2 schema:name Springer Nature - SN SciGraph project
    46 rdf:type schema:Organization
    47 N80bf183bf07b47c6ba1dc719cc5c5e65 rdf:first N8b2c1846815c441b97186a2cc50f832e
    48 rdf:rest N4caee3ebe7a54c85b87a0f4d11c482d9
    49 N8b2c1846815c441b97186a2cc50f832e schema:familyName Jolly
    50 schema:givenName Mark
    51 rdf:type schema:Person
    52 N9013849930c141309d2b507865fd1f60 schema:name dimensions_id
    53 schema:value pub.1039222243
    54 rdf:type schema:PropertyValue
    55 N92df7607e05d4433b26a4bea4c77d39b schema:name readcube_id
    56 schema:value bad56dec272eeb68b45315ee06e7f519e431a1047c8e02b214bebb2ba83fc61b
    57 rdf:type schema:PropertyValue
    58 N9911a89a3d38454fa0144d272d957900 schema:name doi
    59 schema:value 10.1007/978-3-319-48166-1_2
    60 rdf:type schema:PropertyValue
    61 Nbf9d848f46294185a4b2ca6aebea5c24 schema:name Department of Materials Science and Engineering, University of Wisconsin
    62 rdf:type schema:Organization
    63 Ncb48ba44706a46c2be04c656518e7376 rdf:first sg:person.0710072274.07
    64 rdf:rest rdf:nil
    65 Ne1db6dbcbaf147789664938cfa3c7358 schema:name School of Energy Science and Engineering, Central South University
    66 rdf:type schema:Organization
    67 Ne6ba14a4da6d4bbf873946deaf930efa schema:location Cham
    68 schema:name Springer International Publishing
    69 rdf:type schema:Organisation
    70 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    71 schema:name Engineering
    72 rdf:type schema:DefinedTerm
    73 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    74 schema:name Materials Engineering
    75 rdf:type schema:DefinedTerm
    76 sg:person.010333705067.16 schema:affiliation Ne1db6dbcbaf147789664938cfa3c7358
    77 schema:familyName Liu
    78 schema:givenName Jiangwei
    79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010333705067.16
    80 rdf:type schema:Person
    81 sg:person.0710072274.07 schema:affiliation Nbf9d848f46294185a4b2ca6aebea5c24
    82 schema:familyName Kou
    83 schema:givenName Sindo
    84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710072274.07
    85 rdf:type schema:Person
    86 sg:pub.10.1007/s11661-009-9964-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005120272
    87 https://doi.org/10.1007/s11661-009-9964-4
    88 rdf:type schema:CreativeWork
    89 sg:pub.10.1007/s11661-999-0334-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026049786
    90 https://doi.org/10.1007/s11661-999-0334-z
    91 rdf:type schema:CreativeWork
     




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


    ...