Ontology type: schema:ScholarlyArticle
2020-02-05
AUTHORSKaushal Kishore, Udit Kumar, Nanda Dinesh, Manashi Adhikary
ABSTRACTDifferent variants of high-chromium cast iron are commonly used for wear-resistant applications in mining and steel industries. These alloys are often used in the as-cast condition that limits the optimization of wear properties through microstructural engineering. This paper aims at improving the wear resistance of 20Cr–2C cast iron through an inexpensive single-step heat treatment. In the present study, samples were soaked at temperatures between 700 and 1200 °C at an interval of 100 °C and were air-cooled for destabilization of primary carbide networks. Detailed microstructural analysis was carried out using a scanning electron microscope coupled with electron probe micro-analysis. Image analysis technique was used to determine the effect of soaking temperature on fraction of primary and secondary carbides. Hardness and dry sliding wear tests were conducted to determine the effect of microstructure on mechanical and wear properties. It was observed that the network of primary carbide began to break only at soaking temperature of 1000 °C and above. Up to 800 °C, there was coarsening of primary carbides that led to lowering of hardness and deterioration of wear resistance. At 900 and 1000 °C, precipitation of secondary carbides was observed. At 1100 °C, maximum hardness and wear resistance were achieved. This was attributed to disintegration of primary carbides and the highest fraction of finely dispersed secondary carbides. At 1200 °C, most of the secondary carbides dissolved in the matrix which resulted in sharp fall in hardness and wear resistance. Micro-mechanism of wear was studied using an optical laser scanning microscope. Post-wear hardness measurement confirmed that the extent of work hardening depends on destabilizing treatments. This study is expected to help the practicing engineers to improve life cycle of high-chromium cast iron components prone to wear. More... »
PAGES249-260
http://scigraph.springernature.com/pub.10.1007/s11668-020-00836-7
DOIhttp://dx.doi.org/10.1007/s11668-020-00836-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1124622978
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/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "R&D and Scientific Services, Tata Steel Limited, Jamshedpur, India",
"id": "http://www.grid.ac/institutes/grid.460003.1",
"name": [
"R&D and Scientific Services, Tata Steel Limited, Jamshedpur, India"
],
"type": "Organization"
},
"familyName": "Kishore",
"givenName": "Kaushal",
"id": "sg:person.014607070430.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014607070430.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India",
"id": "http://www.grid.ac/institutes/grid.444688.2",
"name": [
"Department of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India"
],
"type": "Organization"
},
"familyName": "Kumar",
"givenName": "Udit",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India",
"id": "http://www.grid.ac/institutes/grid.444688.2",
"name": [
"Department of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India"
],
"type": "Organization"
},
"familyName": "Dinesh",
"givenName": "Nanda",
"type": "Person"
},
{
"affiliation": {
"alternateName": "R&D and Scientific Services, Tata Steel Limited, Jamshedpur, India",
"id": "http://www.grid.ac/institutes/grid.460003.1",
"name": [
"R&D and Scientific Services, Tata Steel Limited, Jamshedpur, India"
],
"type": "Organization"
},
"familyName": "Adhikary",
"givenName": "Manashi",
"id": "sg:person.014731146547.17",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014731146547.17"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf02670766",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035416646",
"https://doi.org/10.1007/bf02670766"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1004755511214",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012923872",
"https://doi.org/10.1023/a:1004755511214"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1017949600733",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029331512",
"https://doi.org/10.1023/a:1017949600733"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11665-009-9353-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039935386",
"https://doi.org/10.1007/s11665-009-9353-6"
],
"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.10.1007/978-3-662-08729-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031012958",
"https://doi.org/10.1007/978-3-662-08729-9"
],
"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/bf02385662",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051213182",
"https://doi.org/10.1007/bf02385662"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11665-008-9285-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009519870",
"https://doi.org/10.1007/s11665-008-9285-6"
],
"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/s11661-997-0267-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024510410",
"https://doi.org/10.1007/s11661-997-0267-3"
],
"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": "2020-02-05",
"datePublishedReg": "2020-02-05",
"description": "Different variants of high-chromium cast iron are commonly used for wear-resistant applications in mining and steel industries. These alloys are often used in the as-cast condition that limits the optimization of wear properties through microstructural engineering. This paper aims at improving the wear resistance of 20Cr\u20132C cast iron through an inexpensive single-step heat treatment. In the present study, samples were soaked at temperatures between 700 and 1200\u00a0\u00b0C at an interval of 100\u00a0\u00b0C and were air-cooled for destabilization of primary carbide networks. Detailed microstructural analysis was carried out using a scanning electron microscope coupled with electron probe micro-analysis. Image analysis technique was used to determine the effect of soaking temperature on fraction of primary and secondary carbides. Hardness and dry sliding wear tests were conducted to determine the effect of microstructure on mechanical and wear properties. It was observed that the network of primary carbide began to break only at soaking temperature of 1000\u00a0\u00b0C and above. Up to 800\u00a0\u00b0C, there was coarsening of primary carbides that led to lowering of hardness and deterioration of wear resistance. At 900 and 1000\u00a0\u00a0\u00b0C, precipitation of secondary carbides was observed. At 1100\u00a0\u00b0C, maximum hardness and wear resistance were achieved. This was attributed to disintegration of primary carbides and the highest fraction of finely dispersed secondary carbides. At 1200\u00a0\u00b0C, most of the secondary carbides dissolved in the matrix which resulted in sharp fall in hardness and wear resistance. Micro-mechanism of wear was studied using an optical laser scanning microscope. Post-wear hardness measurement confirmed that the extent of work hardening depends on destabilizing treatments. This study is expected to help the practicing engineers to improve life cycle of high-chromium cast iron components prone to wear.",
"genre": "article",
"id": "sg:pub.10.1007/s11668-020-00836-7",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136274",
"issn": [
"1529-8159",
"1547-7029"
],
"name": "Journal of Failure Analysis and Prevention",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "20"
}
],
"keywords": [
"high chromium cast iron",
"secondary carbides",
"wear resistance",
"primary carbides",
"cast iron",
"primary carbide network",
"wear-resistant applications",
"cast iron components",
"effect of microstructure",
"single-step heat treatment",
"detailed microstructural analysis",
"scanning electron microscope",
"electron probe micro-analysis",
"microstructural engineering",
"carbide network",
"wear properties",
"wear tests",
"cast condition",
"carbide precipitation",
"work hardening",
"maximum hardness",
"hardness measurements",
"microstructural analysis",
"micro mechanism",
"carbide",
"heat treatment",
"steel industry",
"hardness",
"electron microscope",
"image analysis techniques",
"iron components",
"micro analysis",
"temperature",
"laser scanning microscope",
"scanning microscope",
"microscope",
"high fraction",
"alloy",
"microstructure",
"hardening",
"wear",
"properties",
"resistance",
"coarsening",
"iron",
"analysis techniques",
"engineers",
"engineering",
"precipitation",
"optimization",
"matrix",
"applications",
"fraction",
"measurements",
"industry",
"network",
"effect",
"life cycle",
"technique",
"different variants",
"conditions",
"cycle",
"test",
"deterioration",
"disintegration",
"components",
"sharp fall",
"mining",
"lowering",
"analysis",
"samples",
"study",
"present study",
"destabilization",
"treatment",
"extent",
"interval",
"fall",
"variants",
"paper"
],
"name": "Effect of Soaking Temperature on Carbide Precipitation, Hardness, and Wear Resistance of High-Chromium Cast Iron",
"pagination": "249-260",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1124622978"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11668-020-00836-7"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11668-020-00836-7",
"https://app.dimensions.ai/details/publication/pub.1124622978"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:37",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_850.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s11668-020-00836-7"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s11668-020-00836-7'
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/s11668-020-00836-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11668-020-00836-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11668-020-00836-7'
This table displays all metadata directly associated to this object as RDF triples.
208 TRIPLES
22 PREDICATES
117 URIs
97 LITERALS
6 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/s11668-020-00836-7 | schema:about | anzsrc-for:09 |
2 | ″ | ″ | anzsrc-for:0912 |
3 | ″ | schema:author | Na969a17540b340228d8cf8a7c5ef7fd8 |
4 | ″ | schema:citation | sg:pub.10.1007/978-3-662-08729-9 |
5 | ″ | ″ | sg:pub.10.1007/bf00367889 |
6 | ″ | ″ | sg:pub.10.1007/bf00723685 |
7 | ″ | ″ | sg:pub.10.1007/bf01151101 |
8 | ″ | ″ | sg:pub.10.1007/bf02385662 |
9 | ″ | ″ | sg:pub.10.1007/bf02403640 |
10 | ″ | ″ | sg:pub.10.1007/bf02670766 |
11 | ″ | ″ | sg:pub.10.1007/s11661-997-0267-3 |
12 | ″ | ″ | sg:pub.10.1007/s11665-008-9285-6 |
13 | ″ | ″ | sg:pub.10.1007/s11665-009-9353-6 |
14 | ″ | ″ | sg:pub.10.1023/a:1004755511214 |
15 | ″ | ″ | sg:pub.10.1023/a:1017949600733 |
16 | ″ | schema:datePublished | 2020-02-05 |
17 | ″ | schema:datePublishedReg | 2020-02-05 |
18 | ″ | schema:description | Different variants of high-chromium cast iron are commonly used for wear-resistant applications in mining and steel industries. These alloys are often used in the as-cast condition that limits the optimization of wear properties through microstructural engineering. This paper aims at improving the wear resistance of 20Cr–2C cast iron through an inexpensive single-step heat treatment. In the present study, samples were soaked at temperatures between 700 and 1200 °C at an interval of 100 °C and were air-cooled for destabilization of primary carbide networks. Detailed microstructural analysis was carried out using a scanning electron microscope coupled with electron probe micro-analysis. Image analysis technique was used to determine the effect of soaking temperature on fraction of primary and secondary carbides. Hardness and dry sliding wear tests were conducted to determine the effect of microstructure on mechanical and wear properties. It was observed that the network of primary carbide began to break only at soaking temperature of 1000 °C and above. Up to 800 °C, there was coarsening of primary carbides that led to lowering of hardness and deterioration of wear resistance. At 900 and 1000 °C, precipitation of secondary carbides was observed. At 1100 °C, maximum hardness and wear resistance were achieved. This was attributed to disintegration of primary carbides and the highest fraction of finely dispersed secondary carbides. At 1200 °C, most of the secondary carbides dissolved in the matrix which resulted in sharp fall in hardness and wear resistance. Micro-mechanism of wear was studied using an optical laser scanning microscope. Post-wear hardness measurement confirmed that the extent of work hardening depends on destabilizing treatments. This study is expected to help the practicing engineers to improve life cycle of high-chromium cast iron components prone to wear. |
19 | ″ | schema:genre | article |
20 | ″ | schema:inLanguage | en |
21 | ″ | schema:isAccessibleForFree | false |
22 | ″ | schema:isPartOf | N2a385f12d82d4487bfc281974d425bd4 |
23 | ″ | ″ | N784b8ac74cd94afd97a93b8406f83353 |
24 | ″ | ″ | sg:journal.1136274 |
25 | ″ | schema:keywords | alloy |
26 | ″ | ″ | analysis |
27 | ″ | ″ | analysis techniques |
28 | ″ | ″ | applications |
29 | ″ | ″ | carbide |
30 | ″ | ″ | carbide network |
31 | ″ | ″ | carbide precipitation |
32 | ″ | ″ | cast condition |
33 | ″ | ″ | cast iron |
34 | ″ | ″ | cast iron components |
35 | ″ | ″ | coarsening |
36 | ″ | ″ | components |
37 | ″ | ″ | conditions |
38 | ″ | ″ | cycle |
39 | ″ | ″ | destabilization |
40 | ″ | ″ | detailed microstructural analysis |
41 | ″ | ″ | deterioration |
42 | ″ | ″ | different variants |
43 | ″ | ″ | disintegration |
44 | ″ | ″ | effect |
45 | ″ | ″ | effect of microstructure |
46 | ″ | ″ | electron microscope |
47 | ″ | ″ | electron probe micro-analysis |
48 | ″ | ″ | engineering |
49 | ″ | ″ | engineers |
50 | ″ | ″ | extent |
51 | ″ | ″ | fall |
52 | ″ | ″ | fraction |
53 | ″ | ″ | hardening |
54 | ″ | ″ | hardness |
55 | ″ | ″ | hardness measurements |
56 | ″ | ″ | heat treatment |
57 | ″ | ″ | high chromium cast iron |
58 | ″ | ″ | high fraction |
59 | ″ | ″ | image analysis techniques |
60 | ″ | ″ | industry |
61 | ″ | ″ | interval |
62 | ″ | ″ | iron |
63 | ″ | ″ | iron components |
64 | ″ | ″ | laser scanning microscope |
65 | ″ | ″ | life cycle |
66 | ″ | ″ | lowering |
67 | ″ | ″ | matrix |
68 | ″ | ″ | maximum hardness |
69 | ″ | ″ | measurements |
70 | ″ | ″ | micro analysis |
71 | ″ | ″ | micro mechanism |
72 | ″ | ″ | microscope |
73 | ″ | ″ | microstructural analysis |
74 | ″ | ″ | microstructural engineering |
75 | ″ | ″ | microstructure |
76 | ″ | ″ | mining |
77 | ″ | ″ | network |
78 | ″ | ″ | optimization |
79 | ″ | ″ | paper |
80 | ″ | ″ | precipitation |
81 | ″ | ″ | present study |
82 | ″ | ″ | primary carbide network |
83 | ″ | ″ | primary carbides |
84 | ″ | ″ | properties |
85 | ″ | ″ | resistance |
86 | ″ | ″ | samples |
87 | ″ | ″ | scanning electron microscope |
88 | ″ | ″ | scanning microscope |
89 | ″ | ″ | secondary carbides |
90 | ″ | ″ | sharp fall |
91 | ″ | ″ | single-step heat treatment |
92 | ″ | ″ | steel industry |
93 | ″ | ″ | study |
94 | ″ | ″ | technique |
95 | ″ | ″ | temperature |
96 | ″ | ″ | test |
97 | ″ | ″ | treatment |
98 | ″ | ″ | variants |
99 | ″ | ″ | wear |
100 | ″ | ″ | wear properties |
101 | ″ | ″ | wear resistance |
102 | ″ | ″ | wear tests |
103 | ″ | ″ | wear-resistant applications |
104 | ″ | ″ | work hardening |
105 | ″ | schema:name | Effect of Soaking Temperature on Carbide Precipitation, Hardness, and Wear Resistance of High-Chromium Cast Iron |
106 | ″ | schema:pagination | 249-260 |
107 | ″ | schema:productId | Nde08a6de198e47e080388bc228034dbb |
108 | ″ | ″ | Nec570250f95b4049acd4ff44972383e9 |
109 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1124622978 |
110 | ″ | ″ | https://doi.org/10.1007/s11668-020-00836-7 |
111 | ″ | schema:sdDatePublished | 2022-05-20T07:37 |
112 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
113 | ″ | schema:sdPublisher | N20c7eeaa0abd44f09724ea0c66524c00 |
114 | ″ | schema:url | https://doi.org/10.1007/s11668-020-00836-7 |
115 | ″ | sgo:license | sg:explorer/license/ |
116 | ″ | sgo:sdDataset | articles |
117 | ″ | rdf:type | schema:ScholarlyArticle |
118 | N20c7eeaa0abd44f09724ea0c66524c00 | schema:name | Springer Nature - SN SciGraph project |
119 | ″ | rdf:type | schema:Organization |
120 | N21cdbb80485a4780a8c9a8169b7c1996 | rdf:first | sg:person.014731146547.17 |
121 | ″ | rdf:rest | rdf:nil |
122 | N2a385f12d82d4487bfc281974d425bd4 | schema:issueNumber | 1 |
123 | ″ | rdf:type | schema:PublicationIssue |
124 | N32469c1650604921ba8e45fcb60396ca | schema:affiliation | grid-institutes:grid.444688.2 |
125 | ″ | schema:familyName | Kumar |
126 | ″ | schema:givenName | Udit |
127 | ″ | rdf:type | schema:Person |
128 | N784b8ac74cd94afd97a93b8406f83353 | schema:volumeNumber | 20 |
129 | ″ | rdf:type | schema:PublicationVolume |
130 | N9f1bc3ad483c4bdba99b13f2f1cf67fa | schema:affiliation | grid-institutes:grid.444688.2 |
131 | ″ | schema:familyName | Dinesh |
132 | ″ | schema:givenName | Nanda |
133 | ″ | rdf:type | schema:Person |
134 | Na969a17540b340228d8cf8a7c5ef7fd8 | rdf:first | sg:person.014607070430.40 |
135 | ″ | rdf:rest | Nb316af3d34f8410bb754e92b0649757b |
136 | Nb316af3d34f8410bb754e92b0649757b | rdf:first | N32469c1650604921ba8e45fcb60396ca |
137 | ″ | rdf:rest | Nb61c094ba61f475c9b1a3c5d26305bb6 |
138 | Nb61c094ba61f475c9b1a3c5d26305bb6 | rdf:first | N9f1bc3ad483c4bdba99b13f2f1cf67fa |
139 | ″ | rdf:rest | N21cdbb80485a4780a8c9a8169b7c1996 |
140 | Nde08a6de198e47e080388bc228034dbb | schema:name | dimensions_id |
141 | ″ | schema:value | pub.1124622978 |
142 | ″ | rdf:type | schema:PropertyValue |
143 | Nec570250f95b4049acd4ff44972383e9 | schema:name | doi |
144 | ″ | schema:value | 10.1007/s11668-020-00836-7 |
145 | ″ | rdf:type | schema:PropertyValue |
146 | anzsrc-for:09 | schema:inDefinedTermSet | anzsrc-for: |
147 | ″ | schema:name | Engineering |
148 | ″ | rdf:type | schema:DefinedTerm |
149 | anzsrc-for:0912 | schema:inDefinedTermSet | anzsrc-for: |
150 | ″ | schema:name | Materials Engineering |
151 | ″ | rdf:type | schema:DefinedTerm |
152 | sg:journal.1136274 | schema:issn | 1529-8159 |
153 | ″ | ″ | 1547-7029 |
154 | ″ | schema:name | Journal of Failure Analysis and Prevention |
155 | ″ | schema:publisher | Springer Nature |
156 | ″ | rdf:type | schema:Periodical |
157 | sg:person.014607070430.40 | schema:affiliation | grid-institutes:grid.460003.1 |
158 | ″ | schema:familyName | Kishore |
159 | ″ | schema:givenName | Kaushal |
160 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014607070430.40 |
161 | ″ | rdf:type | schema:Person |
162 | sg:person.014731146547.17 | schema:affiliation | grid-institutes:grid.460003.1 |
163 | ″ | schema:familyName | Adhikary |
164 | ″ | schema:givenName | Manashi |
165 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014731146547.17 |
166 | ″ | rdf:type | schema:Person |
167 | sg:pub.10.1007/978-3-662-08729-9 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1031012958 |
168 | ″ | ″ | https://doi.org/10.1007/978-3-662-08729-9 |
169 | ″ | rdf:type | schema:CreativeWork |
170 | sg:pub.10.1007/bf00367889 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1021033621 |
171 | ″ | ″ | https://doi.org/10.1007/bf00367889 |
172 | ″ | rdf:type | schema:CreativeWork |
173 | sg:pub.10.1007/bf00723685 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1016428388 |
174 | ″ | ″ | https://doi.org/10.1007/bf00723685 |
175 | ″ | rdf:type | schema:CreativeWork |
176 | sg:pub.10.1007/bf01151101 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1024960405 |
177 | ″ | ″ | https://doi.org/10.1007/bf01151101 |
178 | ″ | rdf:type | schema:CreativeWork |
179 | sg:pub.10.1007/bf02385662 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1051213182 |
180 | ″ | ″ | https://doi.org/10.1007/bf02385662 |
181 | ″ | rdf:type | schema:CreativeWork |
182 | sg:pub.10.1007/bf02403640 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1042747279 |
183 | ″ | ″ | https://doi.org/10.1007/bf02403640 |
184 | ″ | rdf:type | schema:CreativeWork |
185 | sg:pub.10.1007/bf02670766 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1035416646 |
186 | ″ | ″ | https://doi.org/10.1007/bf02670766 |
187 | ″ | rdf:type | schema:CreativeWork |
188 | sg:pub.10.1007/s11661-997-0267-3 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1024510410 |
189 | ″ | ″ | https://doi.org/10.1007/s11661-997-0267-3 |
190 | ″ | rdf:type | schema:CreativeWork |
191 | sg:pub.10.1007/s11665-008-9285-6 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1009519870 |
192 | ″ | ″ | https://doi.org/10.1007/s11665-008-9285-6 |
193 | ″ | rdf:type | schema:CreativeWork |
194 | sg:pub.10.1007/s11665-009-9353-6 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1039935386 |
195 | ″ | ″ | https://doi.org/10.1007/s11665-009-9353-6 |
196 | ″ | rdf:type | schema:CreativeWork |
197 | sg:pub.10.1023/a:1004755511214 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1012923872 |
198 | ″ | ″ | https://doi.org/10.1023/a:1004755511214 |
199 | ″ | rdf:type | schema:CreativeWork |
200 | sg:pub.10.1023/a:1017949600733 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1029331512 |
201 | ″ | ″ | https://doi.org/10.1023/a:1017949600733 |
202 | ″ | rdf:type | schema:CreativeWork |
203 | grid-institutes:grid.444688.2 | schema:alternateName | Department of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India |
204 | ″ | schema:name | Department of Metallurgical Engineering, National Institute of Technology Raipur, Raipur, India |
205 | ″ | rdf:type | schema:Organization |
206 | grid-institutes:grid.460003.1 | schema:alternateName | R&D and Scientific Services, Tata Steel Limited, Jamshedpur, India |
207 | ″ | schema:name | R&D and Scientific Services, Tata Steel Limited, Jamshedpur, India |
208 | ″ | rdf:type | schema:Organization |