Hot tearing of ternary Mg−Al−Ca alloy castings View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-12

AUTHORS

G. Cao, S. Kou

ABSTRACT

Ternary Mg−Al−Ca alloys are the base of a few new creep-resistant, lightweight Mg alloys for automobiles. Hot tearing in Mg−xAl−yCa alloys was studied, including Mg−4Al−0.5Ca, Mg−4Al−1.5Ca. Mg−4Al−2.5Ca, Mg−4Al−3.5Ca, Mg−5Al−2.5Ca, and Mg−6Al−2.5Ca, by constrained rod casting (CRC) in a steel mold—with a movable pouring cup to keep solidification therein from interfering with the rising tension in the rods. The hot tearing susceptibility, based on measured crack widths and crack locations, decreased significantly with increasing Ca content (y) but did not change much with the Al content (x). An instrumented CRC with a steel mold was developed to detect the onset of hot tearing by monitoring the tension in the rod during casting and the temperature near the cracking site. It was further improved by reducing the rod diameter to detect hot tearing earlier, at a higher temperature, and with a clear peak in the load curve. To further understand the hot tearing susceptibility of these alloys, the secondary phases, eutectic content, solidification path, and freezing range were examined. Alloy Mg−4Al−0.5Ca had the widest freezing range and the lowest eutectic content and was most susceptible to hot tearing, while alloys Mg−4Al−3.5Ca and Mg−6Al−2.5Ca were the opposite. Mg−4Al−0.5Ca had the widest freezing range (183 °C) because its solidification path led to the formation of Mg17Al12 from the liquid at a very low temperature (440°C). The application of the results to die casting was discussed. More... »

PAGES

3647-3663

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11661-006-1059-x

DOI

http://dx.doi.org/10.1007/s11661-006-1059-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034288710


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 Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Mechanical Engineering, University of Wisconsin-Madison, 53706, Madison, WI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cao", 
        "givenName": "G.", 
        "id": "sg:person.013512221220.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013512221220.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Department of Materials Science and Engineering, University of Wisconsin-Madison, 53706, Madison, WI"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kou", 
        "givenName": "S.", 
        "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/bf03339110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001707605", 
          "https://doi.org/10.1007/bf03339110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1179/mst.1995.11.9.926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003849606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msea.2005.10.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017324483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-577x(01)00449-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020006333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-006-0070-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024042386", 
          "https://doi.org/10.1007/s11661-006-0070-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-006-0070-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024042386", 
          "https://doi.org/10.1007/s11661-006-0070-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6425(03)00037-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038891118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6425(03)00037-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038891118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-005-0245-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043188765", 
          "https://doi.org/10.1007/s11661-005-0245-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-005-0245-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043188765", 
          "https://doi.org/10.1007/s11661-005-0245-6"
        ], 
        "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.actamat.2005.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047185254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13640461.2000.11819381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058385334"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-12", 
    "datePublishedReg": "2006-12-01", 
    "description": "Ternary Mg\u2212Al\u2212Ca alloys are the base of a few new creep-resistant, lightweight Mg alloys for automobiles. Hot tearing in Mg\u2212xAl\u2212yCa alloys was studied, including Mg\u22124Al\u22120.5Ca, Mg\u22124Al\u22121.5Ca. Mg\u22124Al\u22122.5Ca, Mg\u22124Al\u22123.5Ca, Mg\u22125Al\u22122.5Ca, and Mg\u22126Al\u22122.5Ca, by constrained rod casting (CRC) in a steel mold\u2014with a movable pouring cup to keep solidification therein from interfering with the rising tension in the rods. The hot tearing susceptibility, based on measured crack widths and crack locations, decreased significantly with increasing Ca content (y) but did not change much with the Al content (x). An instrumented CRC with a steel mold was developed to detect the onset of hot tearing by monitoring the tension in the rod during casting and the temperature near the cracking site. It was further improved by reducing the rod diameter to detect hot tearing earlier, at a higher temperature, and with a clear peak in the load curve. To further understand the hot tearing susceptibility of these alloys, the secondary phases, eutectic content, solidification path, and freezing range were examined. Alloy Mg\u22124Al\u22120.5Ca had the widest freezing range and the lowest eutectic content and was most susceptible to hot tearing, while alloys Mg\u22124Al\u22123.5Ca and Mg\u22126Al\u22122.5Ca were the opposite. Mg\u22124Al\u22120.5Ca had the widest freezing range (183 \u00b0C) because its solidification path led to the formation of Mg17Al12 from the liquid at a very low temperature (440\u00b0C). The application of the results to die casting was discussed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11661-006-1059-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136292", 
        "issn": [
          "1073-5623", 
          "1543-1940"
        ], 
        "name": "Metallurgical and Materials Transactions A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "37"
      }
    ], 
    "name": "Hot tearing of ternary Mg\u2212Al\u2212Ca alloy castings", 
    "pagination": "3647-3663", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a35687ff19307b95bd55a8332cddff7ba1148ae28a644bc4da215fd3f54f4114"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11661-006-1059-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034288710"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11661-006-1059-x", 
      "https://app.dimensions.ai/details/publication/pub.1034288710"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:03", 
    "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_8663_00000523.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11661-006-1059-x"
  }
]
 

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/s11661-006-1059-x'

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/s11661-006-1059-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11661-006-1059-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11661-006-1059-x'


 

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

102 TRIPLES      21 PREDICATES      37 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11661-006-1059-x schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N79539a8d04b64b5a85ce074372d9bad2
4 schema:citation sg:pub.10.1007/bf03339110
5 sg:pub.10.1007/s11661-005-0245-6
6 sg:pub.10.1007/s11661-006-0070-6
7 https://doi.org/10.1016/j.actamat.2005.03.001
8 https://doi.org/10.1016/j.msea.2005.10.050
9 https://doi.org/10.1016/s0079-6425(03)00037-9
10 https://doi.org/10.1016/s0167-577x(01)00449-9
11 https://doi.org/10.1080/09534962.1989.11818994
12 https://doi.org/10.1080/13640461.2000.11819381
13 https://doi.org/10.1179/mst.1995.11.9.926
14 schema:datePublished 2006-12
15 schema:datePublishedReg 2006-12-01
16 schema:description Ternary Mg−Al−Ca alloys are the base of a few new creep-resistant, lightweight Mg alloys for automobiles. Hot tearing in Mg−xAl−yCa alloys was studied, including Mg−4Al−0.5Ca, Mg−4Al−1.5Ca. Mg−4Al−2.5Ca, Mg−4Al−3.5Ca, Mg−5Al−2.5Ca, and Mg−6Al−2.5Ca, by constrained rod casting (CRC) in a steel mold—with a movable pouring cup to keep solidification therein from interfering with the rising tension in the rods. The hot tearing susceptibility, based on measured crack widths and crack locations, decreased significantly with increasing Ca content (y) but did not change much with the Al content (x). An instrumented CRC with a steel mold was developed to detect the onset of hot tearing by monitoring the tension in the rod during casting and the temperature near the cracking site. It was further improved by reducing the rod diameter to detect hot tearing earlier, at a higher temperature, and with a clear peak in the load curve. To further understand the hot tearing susceptibility of these alloys, the secondary phases, eutectic content, solidification path, and freezing range were examined. Alloy Mg−4Al−0.5Ca had the widest freezing range and the lowest eutectic content and was most susceptible to hot tearing, while alloys Mg−4Al−3.5Ca and Mg−6Al−2.5Ca were the opposite. Mg−4Al−0.5Ca had the widest freezing range (183 °C) because its solidification path led to the formation of Mg17Al12 from the liquid at a very low temperature (440°C). The application of the results to die casting was discussed.
17 schema:genre research_article
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N89b67c15b3064fc6839866a8803996d8
21 Nd977f218fd564026b12bd9949d774a82
22 sg:journal.1136292
23 schema:name Hot tearing of ternary Mg−Al−Ca alloy castings
24 schema:pagination 3647-3663
25 schema:productId N0248fc67770b46229bdc1ca2c1234262
26 N7118109e172746fb813167f2568e6f41
27 N87bd7f0f2e984eabbb84c7fd093f2214
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034288710
29 https://doi.org/10.1007/s11661-006-1059-x
30 schema:sdDatePublished 2019-04-10T15:03
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher Na11041fc93b24a2aa17df9acc6e624ef
33 schema:url http://link.springer.com/10.1007%2Fs11661-006-1059-x
34 sgo:license sg:explorer/license/
35 sgo:sdDataset articles
36 rdf:type schema:ScholarlyArticle
37 N0248fc67770b46229bdc1ca2c1234262 schema:name readcube_id
38 schema:value a35687ff19307b95bd55a8332cddff7ba1148ae28a644bc4da215fd3f54f4114
39 rdf:type schema:PropertyValue
40 N366d9f990c334b06bafd7ed8e7b001fe rdf:first sg:person.0710072274.07
41 rdf:rest rdf:nil
42 N7118109e172746fb813167f2568e6f41 schema:name dimensions_id
43 schema:value pub.1034288710
44 rdf:type schema:PropertyValue
45 N79539a8d04b64b5a85ce074372d9bad2 rdf:first sg:person.013512221220.23
46 rdf:rest N366d9f990c334b06bafd7ed8e7b001fe
47 N87bd7f0f2e984eabbb84c7fd093f2214 schema:name doi
48 schema:value 10.1007/s11661-006-1059-x
49 rdf:type schema:PropertyValue
50 N89b67c15b3064fc6839866a8803996d8 schema:issueNumber 12
51 rdf:type schema:PublicationIssue
52 Na11041fc93b24a2aa17df9acc6e624ef schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 Nd977f218fd564026b12bd9949d774a82 schema:volumeNumber 37
55 rdf:type schema:PublicationVolume
56 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
57 schema:name Engineering
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
60 schema:name Materials Engineering
61 rdf:type schema:DefinedTerm
62 sg:journal.1136292 schema:issn 1073-5623
63 1543-1940
64 schema:name Metallurgical and Materials Transactions A
65 rdf:type schema:Periodical
66 sg:person.013512221220.23 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
67 schema:familyName Cao
68 schema:givenName G.
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013512221220.23
70 rdf:type schema:Person
71 sg:person.0710072274.07 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
72 schema:familyName Kou
73 schema:givenName S.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710072274.07
75 rdf:type schema:Person
76 sg:pub.10.1007/bf03339110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001707605
77 https://doi.org/10.1007/bf03339110
78 rdf:type schema:CreativeWork
79 sg:pub.10.1007/s11661-005-0245-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043188765
80 https://doi.org/10.1007/s11661-005-0245-6
81 rdf:type schema:CreativeWork
82 sg:pub.10.1007/s11661-006-0070-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024042386
83 https://doi.org/10.1007/s11661-006-0070-6
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1016/j.actamat.2005.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047185254
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1016/j.msea.2005.10.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017324483
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1016/s0079-6425(03)00037-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038891118
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/s0167-577x(01)00449-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020006333
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1080/09534962.1989.11818994 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044214938
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1080/13640461.2000.11819381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058385334
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1179/mst.1995.11.9.926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003849606
98 rdf:type schema:CreativeWork
99 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
100 schema:name Department of Materials Science and Engineering, University of Wisconsin-Madison, 53706, Madison, WI
101 Department of Mechanical Engineering, University of Wisconsin-Madison, 53706, Madison, WI
102 rdf:type schema:Organization
 




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


...