Hot-Tear Susceptibility of Aluminum Wrought Alloys and the Effect of Grain Refining View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-05

AUTHORS

S. Lin, C. Aliravci, M.O. Pekguleryuz

ABSTRACT

Hot-tear resistance of aluminum wrought alloys AA1050, AA3104, and AA5182 has been determined via constrained-rod casting and two quantitative indices. Hot-tear susceptibility ranking was observed to be AA1050 < AA5182 < AA3104. Mechanisms of hot tearing were studied via microstructural investigation of hot tears. Hot tearing in AA1050 and AA5182 alloys could be characterized as interdendritic separation during solidification. Microstructural investigation of tear surfaces of AA1050 alloy showed that free-dendritic surfaces were substantially covered with solute-rich phases indicating good interdendritic feeding. The AA1050 alloy showed low susceptibility to hot tearing, and grain refining had an additional effect in reducing hot-tear susceptibility. The AA5182 alloy showed moderate susceptibility to hot tearing; tear surfaces were only partially covered with a eutectic phase, and grain refinement was very effective in eliminating hot tears in this alloy, which exhibits a large nonequilibrium freezing range. The mechanism of hot tearing in AA3104 was ductile fracture of interlocked dendrite tips in central zones deprived of interdendritic liquid film during solidification. Hot-tear mechanisms observed could seemingly be explained by Saveiko’s liquid film theory. Nonequilibrium freezing range did not explain the hot-tear susceptibility ranking of the alloys. Hot-tear sensitivity (HTS) was related to the average grain size, d (μm), of the castings as HTS ≅ 6 × 10−5d2 to 0.014d + 3, where HTS was sensitive to grain refining when the grain size was above 200 μm. Grain refining was most effective in reducing the hot-tear susceptibility in alloy AA5182, which has the largest nonequilibrium freezing range. More... »

PAGES

1056-1068

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11661-007-9132-7

DOI

http://dx.doi.org/10.1007/s11661-007-9132-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031793175


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": "University of Quebec", 
          "id": "https://www.grid.ac/institutes/grid.265695.b", 
          "name": [
            "Facult\u00e9 d\u2019Ing\u00e9nierie, University of Quebec at Chicoutimi, Chicoutimi, PQ, Canada", 
            "L&P Incorporated, Schukra North America, N8N 4Y3, Lakeshore Ontario, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "S.", 
        "id": "sg:person.016443655273.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016443655273.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Quebec", 
          "id": "https://www.grid.ac/institutes/grid.265695.b", 
          "name": [
            "Facult\u00e9 d\u2019Ing\u00e9nierie, University of Quebec at Chicoutimi, Chicoutimi, PQ, Canada", 
            "CRCT, Ecole Polytechnique, Universit\u00e9 de Montr\u00e9al, H3C  3A7, Montreal, PQ, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aliravci", 
        "givenName": "C.", 
        "id": "sg:person.014474763135.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014474763135.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McGill University", 
          "id": "https://www.grid.ac/institutes/grid.14709.3b", 
          "name": [
            "Facult\u00e9 d\u2019Ing\u00e9nierie, University of Quebec at Chicoutimi, Chicoutimi, PQ, Canada", 
            "McGill University, H3A 2B2, Montreal, PQ, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pekguleryuz", 
        "givenName": "M.O.", 
        "id": "sg:person.01366114136.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366114136.09"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf03339110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001707605", 
          "https://doi.org/10.1007/bf03339110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09534962.1990.11819040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025366933"
        ], 
        "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"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-006-0090-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037182492", 
          "https://doi.org/10.1007/s11661-006-0090-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-006-0090-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037182492", 
          "https://doi.org/10.1007/s11661-006-0090-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0921-5093(93)90224-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041429885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0921-5093(93)90224-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041429885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2005.09.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042594555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2005.09.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042594555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09534962.1989.11818994", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044214938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2005.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044478626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00353012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051743765", 
          "https://doi.org/10.1007/bf00353012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1179/030716983803291226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052195305"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-05", 
    "datePublishedReg": "2007-05-01", 
    "description": "Hot-tear resistance of aluminum wrought alloys AA1050, AA3104, and AA5182 has been determined via constrained-rod casting and two quantitative indices. Hot-tear susceptibility ranking was observed to be AA1050 < AA5182 < AA3104. Mechanisms of hot tearing were studied via microstructural investigation of hot tears. Hot tearing in AA1050 and AA5182 alloys could be characterized as interdendritic separation during solidification. Microstructural investigation of tear surfaces of AA1050 alloy showed that free-dendritic surfaces were substantially covered with solute-rich phases indicating good interdendritic feeding. The AA1050 alloy showed low susceptibility to hot tearing, and grain refining had an additional effect in reducing hot-tear susceptibility. The AA5182 alloy showed moderate susceptibility to hot tearing; tear surfaces were only partially covered with a eutectic phase, and grain refinement was very effective in eliminating hot tears in this alloy, which exhibits a large nonequilibrium freezing range. The mechanism of hot tearing in AA3104 was ductile fracture of interlocked dendrite tips in central zones deprived of interdendritic liquid film during solidification. Hot-tear mechanisms observed could seemingly be explained by Saveiko\u2019s liquid film theory. Nonequilibrium freezing range did not explain the hot-tear susceptibility ranking of the alloys. Hot-tear sensitivity (HTS) was related to the average grain size, d (\u03bcm), of the castings as HTS \u2245 6 \u00d7 10\u22125d2 to 0.014d + 3, where HTS was sensitive to grain refining when the grain size was above 200 \u03bcm. Grain refining was most effective in reducing the hot-tear susceptibility in alloy AA5182, which has the largest nonequilibrium freezing range.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11661-007-9132-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136292", 
        "issn": [
          "1073-5623", 
          "1543-1940"
        ], 
        "name": "Metallurgical and Materials Transactions A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Hot-Tear Susceptibility of Aluminum Wrought Alloys and the Effect of Grain Refining", 
    "pagination": "1056-1068", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "977498a346ff5e2ba25780b817d0c52cf18d86f969357cc173988eb729c2b3d9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11661-007-9132-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031793175"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11661-007-9132-7", 
      "https://app.dimensions.ai/details/publication/pub.1031793175"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:54", 
    "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_8664_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11661-007-9132-7"
  }
]
 

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/s11661-007-9132-7'

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/s11661-007-9132-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11661-007-9132-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11661-007-9132-7'


 

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

115 TRIPLES      21 PREDICATES      37 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11661-007-9132-7 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N8c4591c2afe643c4834a984168bea5e2
4 schema:citation sg:pub.10.1007/bf00353012
5 sg:pub.10.1007/bf03339110
6 sg:pub.10.1007/s11661-006-0090-2
7 sg:pub.10.1007/s11661-999-0334-z
8 https://doi.org/10.1016/0921-5093(93)90224-3
9 https://doi.org/10.1016/j.msea.2005.02.011
10 https://doi.org/10.1016/j.msea.2005.09.050
11 https://doi.org/10.1080/09534962.1989.11818994
12 https://doi.org/10.1080/09534962.1990.11819040
13 https://doi.org/10.1179/030716983803291226
14 schema:datePublished 2007-05
15 schema:datePublishedReg 2007-05-01
16 schema:description Hot-tear resistance of aluminum wrought alloys AA1050, AA3104, and AA5182 has been determined via constrained-rod casting and two quantitative indices. Hot-tear susceptibility ranking was observed to be AA1050 < AA5182 < AA3104. Mechanisms of hot tearing were studied via microstructural investigation of hot tears. Hot tearing in AA1050 and AA5182 alloys could be characterized as interdendritic separation during solidification. Microstructural investigation of tear surfaces of AA1050 alloy showed that free-dendritic surfaces were substantially covered with solute-rich phases indicating good interdendritic feeding. The AA1050 alloy showed low susceptibility to hot tearing, and grain refining had an additional effect in reducing hot-tear susceptibility. The AA5182 alloy showed moderate susceptibility to hot tearing; tear surfaces were only partially covered with a eutectic phase, and grain refinement was very effective in eliminating hot tears in this alloy, which exhibits a large nonequilibrium freezing range. The mechanism of hot tearing in AA3104 was ductile fracture of interlocked dendrite tips in central zones deprived of interdendritic liquid film during solidification. Hot-tear mechanisms observed could seemingly be explained by Saveiko’s liquid film theory. Nonequilibrium freezing range did not explain the hot-tear susceptibility ranking of the alloys. Hot-tear sensitivity (HTS) was related to the average grain size, d (μm), of the castings as HTS ≅ 6 × 10−5d2 to 0.014d + 3, where HTS was sensitive to grain refining when the grain size was above 200 μm. Grain refining was most effective in reducing the hot-tear susceptibility in alloy AA5182, which has the largest nonequilibrium freezing range.
17 schema:genre research_article
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N69c1c1e9e6534d6d81bd87f9dc0b4e92
21 N80a427f24a9a444f86dde631caf0b35c
22 sg:journal.1136292
23 schema:name Hot-Tear Susceptibility of Aluminum Wrought Alloys and the Effect of Grain Refining
24 schema:pagination 1056-1068
25 schema:productId N2cfc661e2d3b4218a08a78c4ee2667d7
26 N4596c9ad63a546a380047b7364fceb0a
27 Nc7af3527e18547f2a98904d70c37f97c
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031793175
29 https://doi.org/10.1007/s11661-007-9132-7
30 schema:sdDatePublished 2019-04-10T15:54
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher Nef10ccdae3c14c98b00553599e0cb5f5
33 schema:url http://link.springer.com/10.1007%2Fs11661-007-9132-7
34 sgo:license sg:explorer/license/
35 sgo:sdDataset articles
36 rdf:type schema:ScholarlyArticle
37 N2cfc661e2d3b4218a08a78c4ee2667d7 schema:name doi
38 schema:value 10.1007/s11661-007-9132-7
39 rdf:type schema:PropertyValue
40 N4596c9ad63a546a380047b7364fceb0a schema:name dimensions_id
41 schema:value pub.1031793175
42 rdf:type schema:PropertyValue
43 N50ec251fa03d41caad308d8fd6f462fe rdf:first sg:person.01366114136.09
44 rdf:rest rdf:nil
45 N69c1c1e9e6534d6d81bd87f9dc0b4e92 schema:volumeNumber 38
46 rdf:type schema:PublicationVolume
47 N80a427f24a9a444f86dde631caf0b35c schema:issueNumber 5
48 rdf:type schema:PublicationIssue
49 N8c4591c2afe643c4834a984168bea5e2 rdf:first sg:person.016443655273.66
50 rdf:rest Nacb5ea4d483d4caa9f6682a10dddd0f5
51 Nacb5ea4d483d4caa9f6682a10dddd0f5 rdf:first sg:person.014474763135.24
52 rdf:rest N50ec251fa03d41caad308d8fd6f462fe
53 Nc7af3527e18547f2a98904d70c37f97c schema:name readcube_id
54 schema:value 977498a346ff5e2ba25780b817d0c52cf18d86f969357cc173988eb729c2b3d9
55 rdf:type schema:PropertyValue
56 Nef10ccdae3c14c98b00553599e0cb5f5 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
59 schema:name Engineering
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
62 schema:name Materials Engineering
63 rdf:type schema:DefinedTerm
64 sg:journal.1136292 schema:issn 1073-5623
65 1543-1940
66 schema:name Metallurgical and Materials Transactions A
67 rdf:type schema:Periodical
68 sg:person.01366114136.09 schema:affiliation https://www.grid.ac/institutes/grid.14709.3b
69 schema:familyName Pekguleryuz
70 schema:givenName M.O.
71 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366114136.09
72 rdf:type schema:Person
73 sg:person.014474763135.24 schema:affiliation https://www.grid.ac/institutes/grid.265695.b
74 schema:familyName Aliravci
75 schema:givenName C.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014474763135.24
77 rdf:type schema:Person
78 sg:person.016443655273.66 schema:affiliation https://www.grid.ac/institutes/grid.265695.b
79 schema:familyName Lin
80 schema:givenName S.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016443655273.66
82 rdf:type schema:Person
83 sg:pub.10.1007/bf00353012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051743765
84 https://doi.org/10.1007/bf00353012
85 rdf:type schema:CreativeWork
86 sg:pub.10.1007/bf03339110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001707605
87 https://doi.org/10.1007/bf03339110
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/s11661-006-0090-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037182492
90 https://doi.org/10.1007/s11661-006-0090-2
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/s11661-999-0334-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026049786
93 https://doi.org/10.1007/s11661-999-0334-z
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0921-5093(93)90224-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041429885
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.msea.2005.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044478626
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/j.msea.2005.09.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042594555
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1080/09534962.1989.11818994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044214938
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1080/09534962.1990.11819040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025366933
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1179/030716983803291226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052195305
106 rdf:type schema:CreativeWork
107 https://www.grid.ac/institutes/grid.14709.3b schema:alternateName McGill University
108 schema:name Faculté d’Ingénierie, University of Quebec at Chicoutimi, Chicoutimi, PQ, Canada
109 McGill University, H3A 2B2, Montreal, PQ, Canada
110 rdf:type schema:Organization
111 https://www.grid.ac/institutes/grid.265695.b schema:alternateName University of Quebec
112 schema:name CRCT, Ecole Polytechnique, Université de Montréal, H3C 3A7, Montreal, PQ, Canada
113 Faculté d’Ingénierie, University of Quebec at Chicoutimi, Chicoutimi, PQ, Canada
114 L&P Incorporated, Schukra North America, N8N 4Y3, Lakeshore Ontario, ON, Canada
115 rdf:type schema:Organization
 




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


...