Transmission electron microscopy of a transformation toughened white cast iron View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1997-01

AUTHORS

S. K HANN, J. D GATES, J. V BEE

ABSTRACT

Transmission electron microscopy has been used to study the microstructure of an experimental white cast iron, in which a combination of modified alloy composition and unconventional heat treatment has resulted in a fracture toughness of 40 MPa m-1/2. Microstructural features of the alloy that contribute to the toughness improvement and hence distinguish it from conventional white irons have been investigated. In the as-cast condition the dendrites are fully austenitic and the eutectic consists of M7C3 carbides and martensite. During heat treatment at 1130 °C the austenite is partially destabilized by precipitation of chromium-rich M7C3 carbides. This results in a dendritic microconstituent consisting of bulk retained austenite and secondary carbides which are sheathed with martensite. The martensite sheaths, which contain interlath films of retained austenite, are irregular in shape with some laths extending into the bulk retained austenite. Emphasis has been placed on the morphology, distribution, and stability of the retained austenite and its transformation products in the dendrites. The implications of these findings on the transformation toughening mechanism in this alloy are discussed. More... »

PAGES

3443-3450

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1018676818148

DOI

http://dx.doi.org/10.1023/a:1018676818148

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029978109


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 Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Department of Mining and Metallurgical Engineering, The University of Queensland, 4072, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "HANN", 
        "givenName": "S. K", 
        "id": "sg:person.012603750166.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012603750166.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Department of Mining and Metallurgical Engineering, The University of Queensland, 4072, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "GATES", 
        "givenName": "J. D", 
        "id": "sg:person.013401330566.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013401330566.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Adelaide", 
          "id": "https://www.grid.ac/institutes/grid.1010.0", 
          "name": [
            "Department of Mechanical Engineering, University of Adelaide, 5005, South Australia, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "BEE", 
        "givenName": "J. V", 
        "id": "sg:person.07755363463.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07755363463.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1018544204267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002463248", 
          "https://doi.org/10.1023/a:1018544204267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0043-1648(83)90154-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005153862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0043-1648(83)90154-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005153862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(79)90073-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006054344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(79)90073-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006054344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00752118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014991313", 
          "https://doi.org/10.1007/bf00752118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00752118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014991313", 
          "https://doi.org/10.1007/bf00752118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01418618308234895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016349182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00723685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016428388", 
          "https://doi.org/10.1007/bf00723685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00367889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021033621", 
          "https://doi.org/10.1007/bf00367889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03354538", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021089463", 
          "https://doi.org/10.1007/bf03354538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01730284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021619632", 
          "https://doi.org/10.1007/bf01730284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01730284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021619632", 
          "https://doi.org/10.1007/bf01730284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09534962.1995.11819184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024311269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01151101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024960405", 
          "https://doi.org/10.1007/bf01151101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01151101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024960405", 
          "https://doi.org/10.1007/bf01151101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(66)90194-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030470960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(66)90194-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030470960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0956-716x(94)90473-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041869657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0956-716x(94)90473-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041869657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02403640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042747279", 
          "https://doi.org/10.1007/bf02403640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02403640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042747279", 
          "https://doi.org/10.1007/bf02403640"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1997-01", 
    "datePublishedReg": "1997-01-01", 
    "description": "Transmission electron microscopy has been used to study the microstructure of an experimental white cast iron, in which a combination of modified alloy composition and unconventional heat treatment has resulted in a fracture toughness of 40 MPa m-1/2. Microstructural features of the alloy that contribute to the toughness improvement and hence distinguish it from conventional white irons have been investigated. In the as-cast condition the dendrites are fully austenitic and the eutectic consists of M7C3 carbides and martensite. During heat treatment at 1130 \u00b0C the austenite is partially destabilized by precipitation of chromium-rich M7C3 carbides. This results in a dendritic microconstituent consisting of bulk retained austenite and secondary carbides which are sheathed with martensite. The martensite sheaths, which contain interlath films of retained austenite, are irregular in shape with some laths extending into the bulk retained austenite. Emphasis has been placed on the morphology, distribution, and stability of the retained austenite and its transformation products in the dendrites. The implications of these findings on the transformation toughening mechanism in this alloy are discussed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1018676818148", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "13", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Transmission electron microscopy of a transformation toughened white cast iron", 
    "pagination": "3443-3450", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8ecfeb0c2c28ea532ff0fae82909d96bb762ea8031a3abc3c952b14ff39c8f98"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1018676818148"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029978109"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1018676818148", 
      "https://app.dimensions.ai/details/publication/pub.1029978109"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:58", 
    "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_8700_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023/A:1018676818148"
  }
]
 

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.10.1023/a:1018676818148'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1018676818148'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1018676818148'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1018676818148'


 

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

128 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1018676818148 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N37186d62ea2b4a0cac1804614a2c9843
4 schema:citation sg:pub.10.1007/bf00367889
5 sg:pub.10.1007/bf00723685
6 sg:pub.10.1007/bf00752118
7 sg:pub.10.1007/bf01151101
8 sg:pub.10.1007/bf01730284
9 sg:pub.10.1007/bf02403640
10 sg:pub.10.1007/bf03354538
11 sg:pub.10.1023/a:1018544204267
12 https://doi.org/10.1016/0001-6160(66)90194-5
13 https://doi.org/10.1016/0001-6160(79)90073-7
14 https://doi.org/10.1016/0043-1648(83)90154-0
15 https://doi.org/10.1016/0956-716x(94)90473-1
16 https://doi.org/10.1080/01418618308234895
17 https://doi.org/10.1080/09534962.1995.11819184
18 schema:datePublished 1997-01
19 schema:datePublishedReg 1997-01-01
20 schema:description Transmission electron microscopy has been used to study the microstructure of an experimental white cast iron, in which a combination of modified alloy composition and unconventional heat treatment has resulted in a fracture toughness of 40 MPa m-1/2. Microstructural features of the alloy that contribute to the toughness improvement and hence distinguish it from conventional white irons have been investigated. In the as-cast condition the dendrites are fully austenitic and the eutectic consists of M7C3 carbides and martensite. During heat treatment at 1130 °C the austenite is partially destabilized by precipitation of chromium-rich M7C3 carbides. This results in a dendritic microconstituent consisting of bulk retained austenite and secondary carbides which are sheathed with martensite. The martensite sheaths, which contain interlath films of retained austenite, are irregular in shape with some laths extending into the bulk retained austenite. Emphasis has been placed on the morphology, distribution, and stability of the retained austenite and its transformation products in the dendrites. The implications of these findings on the transformation toughening mechanism in this alloy are discussed.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N9ac4c30490f74314900e2dd85d38e57c
25 Nda9ae26ff0724ecc9ffd6aea249bf3b8
26 sg:journal.1312116
27 schema:name Transmission electron microscopy of a transformation toughened white cast iron
28 schema:pagination 3443-3450
29 schema:productId N17918d903afe438f88ea822bdcce272d
30 N9d61533c3209491b9f93e591de404020
31 Ne7877853a3934c8d91098894a1a5da00
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029978109
33 https://doi.org/10.1023/a:1018676818148
34 schema:sdDatePublished 2019-04-11T01:58
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N91f2a3533e57459dbe2838151d3d8712
37 schema:url http://link.springer.com/10.1023/A:1018676818148
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N17918d903afe438f88ea822bdcce272d schema:name dimensions_id
42 schema:value pub.1029978109
43 rdf:type schema:PropertyValue
44 N3126bd1bdf804a44b8e778a36a32df15 rdf:first sg:person.07755363463.75
45 rdf:rest rdf:nil
46 N37186d62ea2b4a0cac1804614a2c9843 rdf:first sg:person.012603750166.27
47 rdf:rest N98a0d9214e33482aa88cfcfbabeb54ea
48 N91f2a3533e57459dbe2838151d3d8712 schema:name Springer Nature - SN SciGraph project
49 rdf:type schema:Organization
50 N98a0d9214e33482aa88cfcfbabeb54ea rdf:first sg:person.013401330566.14
51 rdf:rest N3126bd1bdf804a44b8e778a36a32df15
52 N9ac4c30490f74314900e2dd85d38e57c schema:issueNumber 13
53 rdf:type schema:PublicationIssue
54 N9d61533c3209491b9f93e591de404020 schema:name doi
55 schema:value 10.1023/a:1018676818148
56 rdf:type schema:PropertyValue
57 Nda9ae26ff0724ecc9ffd6aea249bf3b8 schema:volumeNumber 32
58 rdf:type schema:PublicationVolume
59 Ne7877853a3934c8d91098894a1a5da00 schema:name readcube_id
60 schema:value 8ecfeb0c2c28ea532ff0fae82909d96bb762ea8031a3abc3c952b14ff39c8f98
61 rdf:type schema:PropertyValue
62 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
63 schema:name Engineering
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
66 schema:name Materials Engineering
67 rdf:type schema:DefinedTerm
68 sg:journal.1312116 schema:issn 0022-2461
69 1573-4811
70 schema:name Journal of Materials Science
71 rdf:type schema:Periodical
72 sg:person.012603750166.27 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
73 schema:familyName HANN
74 schema:givenName S. K
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012603750166.27
76 rdf:type schema:Person
77 sg:person.013401330566.14 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
78 schema:familyName GATES
79 schema:givenName J. D
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013401330566.14
81 rdf:type schema:Person
82 sg:person.07755363463.75 schema:affiliation https://www.grid.ac/institutes/grid.1010.0
83 schema:familyName BEE
84 schema:givenName J. V
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07755363463.75
86 rdf:type schema:Person
87 sg:pub.10.1007/bf00367889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021033621
88 https://doi.org/10.1007/bf00367889
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/bf00723685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016428388
91 https://doi.org/10.1007/bf00723685
92 rdf:type schema:CreativeWork
93 sg:pub.10.1007/bf00752118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014991313
94 https://doi.org/10.1007/bf00752118
95 rdf:type schema:CreativeWork
96 sg:pub.10.1007/bf01151101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024960405
97 https://doi.org/10.1007/bf01151101
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/bf01730284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021619632
100 https://doi.org/10.1007/bf01730284
101 rdf:type schema:CreativeWork
102 sg:pub.10.1007/bf02403640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042747279
103 https://doi.org/10.1007/bf02403640
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/bf03354538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021089463
106 https://doi.org/10.1007/bf03354538
107 rdf:type schema:CreativeWork
108 sg:pub.10.1023/a:1018544204267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002463248
109 https://doi.org/10.1023/a:1018544204267
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0001-6160(66)90194-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030470960
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/0001-6160(79)90073-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006054344
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/0043-1648(83)90154-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005153862
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/0956-716x(94)90473-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041869657
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1080/01418618308234895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016349182
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1080/09534962.1995.11819184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024311269
122 rdf:type schema:CreativeWork
123 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
124 schema:name Department of Mining and Metallurgical Engineering, The University of Queensland, 4072, Queensland, Australia
125 rdf:type schema:Organization
126 https://www.grid.ac/institutes/grid.1010.0 schema:alternateName University of Adelaide
127 schema:name Department of Mechanical Engineering, University of Adelaide, 5005, South Australia, Australia
128 rdf:type schema:Organization
 




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


...