Comparative Analysis of the Microstructural Features of 28 wt.% Cr Cast Iron Fabricated by Pulsed Plasma Deposition and Conventional Casting View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-01-19

AUTHORS

Yu. G. Chabak, V. G. Efremenko, K. Shimizu, A. Lekatou, T. V. Pastukhova, A. Yu. Azarkhov, V. I. Zurnadzhy

ABSTRACT

The effect of pulsed plasma deposition (by an electrothermal axial plasma accelerator) followed by post-heat treatment on the structure and microhardness of a 28 wt.% Cr white cast iron is analyzed and discussed with respect to the microstructure of the conventionally cast monolithic counterpart. The cast iron (as deposited on a 14 wt.% Cr cast iron substrate) had a microhardness of 630-750 HV0.05; it had layered light contrast/dark contrast structure where dark contrast layers contain fine carbide network. Pulsed plasma deposition followed by heat treatment resulted in a substantial refinement of the microstructure: eutectic M7C3 coarse acicular plates in the conventional cast iron were replaced by fine M7C3, M3C2, M3C particles (Cr depleted in favor of Fe), while the initial carbide particle of 2-3 μm was reduced to 0.6 μm. Secondary dendrite arm spacing decreased from 15 to 1.3 μm, accordingly. The carbide volume fraction in the post-heat-treated coating remarkably increased with respect to the conventional counterpart resulting in a substantial increase in the coating hardness (1300-1750 HV0.05). The heat-treated coating displayed higher resistance to three-body abrasion than the as-deposited coating and similar resistance with that of the conventionally cast iron. More... »

PAGES

379-388

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11665-017-3102-z

DOI

http://dx.doi.org/10.1007/s11665-017-3102-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100484755


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/2008/09", 
        "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": "Priazovskyi State Technical University, Mariupol, Ukraine", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Priazovskyi State Technical University, Mariupol, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chabak", 
        "givenName": "Yu. G.", 
        "id": "sg:person.015712634121.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015712634121.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Priazovskyi State Technical University, Mariupol, Ukraine", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Priazovskyi State Technical University, Mariupol, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Efremenko", 
        "givenName": "V. G.", 
        "id": "sg:person.011144572363.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011144572363.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Muroran Institute of Technology, Muroran, Japan", 
          "id": "http://www.grid.ac/institutes/grid.420014.3", 
          "name": [
            "Muroran Institute of Technology, Muroran, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimizu", 
        "givenName": "K.", 
        "id": "sg:person.015766523455.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015766523455.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ioannina, Ioannina, Greece", 
          "id": "http://www.grid.ac/institutes/grid.9594.1", 
          "name": [
            "University of Ioannina, Ioannina, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lekatou", 
        "givenName": "A.", 
        "id": "sg:person.010546326615.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010546326615.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Priazovskyi State Technical University, Mariupol, Ukraine", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Priazovskyi State Technical University, Mariupol, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pastukhova", 
        "givenName": "T. V.", 
        "id": "sg:person.012004530236.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012004530236.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Priazovskyi State Technical University, Mariupol, Ukraine", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Priazovskyi State Technical University, Mariupol, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Azarkhov", 
        "givenName": "A. Yu.", 
        "id": "sg:person.015760747321.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015760747321.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Priazovskyi State Technical University, Mariupol, Ukraine", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Priazovskyi State Technical University, Mariupol, Ukraine"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zurnadzhy", 
        "givenName": "V. I.", 
        "id": "sg:person.012141267615.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141267615.95"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11665-017-2943-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091879312", 
          "https://doi.org/10.1007/s11665-017-2943-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01117388", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044659654", 
          "https://doi.org/10.1007/bf01117388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1017567020321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044764343", 
          "https://doi.org/10.1023/a:1017567020321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep37444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045180861", 
          "https://doi.org/10.1038/srep37444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1004573524282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037030500", 
          "https://doi.org/10.1023/a:1004573524282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12613-016-1277-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015799804", 
          "https://doi.org/10.1007/s12613-016-1277-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11661-016-3336-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014648238", 
          "https://doi.org/10.1007/s11661-016-3336-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-012-6998-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052193393", 
          "https://doi.org/10.1007/s10853-012-6998-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-01-19", 
    "datePublishedReg": "2018-01-19", 
    "description": "The effect of pulsed plasma deposition (by an electrothermal axial plasma accelerator) followed by post-heat treatment on the structure and microhardness of a 28\u00a0wt.% Cr white cast iron is analyzed and discussed with respect to the microstructure of the conventionally cast monolithic counterpart. The cast iron (as deposited on a 14\u00a0wt.% Cr cast iron substrate) had a microhardness of 630-750 HV0.05; it had layered light contrast/dark contrast structure where dark contrast layers contain fine carbide network. Pulsed plasma deposition followed by heat treatment resulted in a substantial refinement of the microstructure: eutectic M7C3\u00a0coarse acicular plates in the conventional cast iron were replaced by fine M7C3, M3C2, M3C particles (Cr depleted in favor of Fe), while the initial carbide particle of 2-3\u00a0\u03bcm was reduced to 0.6\u00a0\u03bcm. Secondary dendrite arm spacing decreased from 15 to 1.3\u00a0\u03bcm, accordingly. The carbide volume fraction in the post-heat-treated coating remarkably increased with respect to the conventional counterpart resulting in a substantial increase in the coating hardness (1300-1750\u00a0HV0.05). The heat-treated coating displayed higher resistance to three-body abrasion than the as-deposited coating and similar resistance with that of the conventionally cast iron.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11665-017-3102-z", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1042007", 
        "issn": [
          "1059-9495", 
          "1544-1024"
        ], 
        "name": "Journal of Materials Engineering and Performance", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "keywords": [
      "cast iron", 
      "plasma deposition", 
      "Cr white cast iron", 
      "secondary dendrite arm spacing", 
      "heat-treated coatings", 
      "three-body abrasion", 
      "carbide volume fraction", 
      "conventional cast iron", 
      "post-heat treatment", 
      "Cr cast iron", 
      "dendrite arm spacing", 
      "Pulsed Plasma Deposition", 
      "white cast iron", 
      "carbide network", 
      "carbide particles", 
      "coating hardness", 
      "conventional casting", 
      "monolithic counterparts", 
      "acicular plates", 
      "arm spacing", 
      "microstructural features", 
      "eutectic M7C3", 
      "volume fraction", 
      "heat treatment", 
      "coatings", 
      "microhardness", 
      "microstructure", 
      "contrast layers", 
      "conventional counterparts", 
      "deposition", 
      "high resistance", 
      "wt", 
      "M7C3", 
      "casting", 
      "M3C", 
      "hardness", 
      "iron", 
      "contrast structures", 
      "abrasion", 
      "similar resistance", 
      "layer", 
      "substantial refinement", 
      "M3C2", 
      "resistance", 
      "plate", 
      "particles", 
      "structure", 
      "spacing", 
      "substantial increase", 
      "respect", 
      "refinement", 
      "comparative analysis", 
      "fraction", 
      "counterparts", 
      "network", 
      "increase", 
      "effect", 
      "analysis", 
      "features", 
      "treatment"
    ], 
    "name": "Comparative Analysis of the Microstructural Features of 28 wt.% Cr Cast Iron Fabricated by Pulsed Plasma Deposition and Conventional Casting", 
    "pagination": "379-388", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100484755"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11665-017-3102-z"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11665-017-3102-z", 
      "https://app.dimensions.ai/details/publication/pub.1100484755"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_775.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11665-017-3102-z"
  }
]
 

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/s11665-017-3102-z'

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/s11665-017-3102-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11665-017-3102-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11665-017-3102-z'


 

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

197 TRIPLES      21 PREDICATES      92 URIs      76 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11665-017-3102-z schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Ne9e313e9ec9f4658a5bf6492b33af544
4 schema:citation sg:pub.10.1007/bf01117388
5 sg:pub.10.1007/s10853-012-6998-6
6 sg:pub.10.1007/s11661-016-3336-7
7 sg:pub.10.1007/s11665-017-2943-9
8 sg:pub.10.1007/s12613-016-1277-1
9 sg:pub.10.1023/a:1004573524282
10 sg:pub.10.1023/a:1017567020321
11 sg:pub.10.1038/srep37444
12 schema:datePublished 2018-01-19
13 schema:datePublishedReg 2018-01-19
14 schema:description The effect of pulsed plasma deposition (by an electrothermal axial plasma accelerator) followed by post-heat treatment on the structure and microhardness of a 28 wt.% Cr white cast iron is analyzed and discussed with respect to the microstructure of the conventionally cast monolithic counterpart. The cast iron (as deposited on a 14 wt.% Cr cast iron substrate) had a microhardness of 630-750 HV0.05; it had layered light contrast/dark contrast structure where dark contrast layers contain fine carbide network. Pulsed plasma deposition followed by heat treatment resulted in a substantial refinement of the microstructure: eutectic M7C3 coarse acicular plates in the conventional cast iron were replaced by fine M7C3, M3C2, M3C particles (Cr depleted in favor of Fe), while the initial carbide particle of 2-3 μm was reduced to 0.6 μm. Secondary dendrite arm spacing decreased from 15 to 1.3 μm, accordingly. The carbide volume fraction in the post-heat-treated coating remarkably increased with respect to the conventional counterpart resulting in a substantial increase in the coating hardness (1300-1750 HV0.05). The heat-treated coating displayed higher resistance to three-body abrasion than the as-deposited coating and similar resistance with that of the conventionally cast iron.
15 schema:genre article
16 schema:isAccessibleForFree false
17 schema:isPartOf N8cdb716bf39a4a0095293af92253fa31
18 Nf0582442f82443da876d93ed50980a6f
19 sg:journal.1042007
20 schema:keywords Cr cast iron
21 Cr white cast iron
22 M3C
23 M3C2
24 M7C3
25 Pulsed Plasma Deposition
26 abrasion
27 acicular plates
28 analysis
29 arm spacing
30 carbide network
31 carbide particles
32 carbide volume fraction
33 cast iron
34 casting
35 coating hardness
36 coatings
37 comparative analysis
38 contrast layers
39 contrast structures
40 conventional cast iron
41 conventional casting
42 conventional counterparts
43 counterparts
44 dendrite arm spacing
45 deposition
46 effect
47 eutectic M7C3
48 features
49 fraction
50 hardness
51 heat treatment
52 heat-treated coatings
53 high resistance
54 increase
55 iron
56 layer
57 microhardness
58 microstructural features
59 microstructure
60 monolithic counterparts
61 network
62 particles
63 plasma deposition
64 plate
65 post-heat treatment
66 refinement
67 resistance
68 respect
69 secondary dendrite arm spacing
70 similar resistance
71 spacing
72 structure
73 substantial increase
74 substantial refinement
75 three-body abrasion
76 treatment
77 volume fraction
78 white cast iron
79 wt
80 schema:name Comparative Analysis of the Microstructural Features of 28 wt.% Cr Cast Iron Fabricated by Pulsed Plasma Deposition and Conventional Casting
81 schema:pagination 379-388
82 schema:productId N682d61400ef249d6abd30fd118587cfa
83 Nc2c8f76f0abd4315ae584c56b9c0729c
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100484755
85 https://doi.org/10.1007/s11665-017-3102-z
86 schema:sdDatePublished 2022-09-02T16:02
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N5e178a0c90024bb592d48426dc7dff5a
89 schema:url https://doi.org/10.1007/s11665-017-3102-z
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N1f0357ce82cf414cba92784f7f319a88 rdf:first sg:person.011144572363.74
94 rdf:rest N51749320a63547889b5ef075db8beaa9
95 N347d49972ca64deab7fae76b673e379d rdf:first sg:person.015760747321.03
96 rdf:rest N3b772a66aaed4777b8f3fdf1ceceb8fd
97 N3b772a66aaed4777b8f3fdf1ceceb8fd rdf:first sg:person.012141267615.95
98 rdf:rest rdf:nil
99 N51749320a63547889b5ef075db8beaa9 rdf:first sg:person.015766523455.76
100 rdf:rest Nd915e336b1ac47bfb827f9467a811828
101 N5e178a0c90024bb592d48426dc7dff5a schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N682d61400ef249d6abd30fd118587cfa schema:name doi
104 schema:value 10.1007/s11665-017-3102-z
105 rdf:type schema:PropertyValue
106 N783c130cbac14fe5877b138a69a03f93 rdf:first sg:person.012004530236.79
107 rdf:rest N347d49972ca64deab7fae76b673e379d
108 N8cdb716bf39a4a0095293af92253fa31 schema:issueNumber 2
109 rdf:type schema:PublicationIssue
110 Nc2c8f76f0abd4315ae584c56b9c0729c schema:name dimensions_id
111 schema:value pub.1100484755
112 rdf:type schema:PropertyValue
113 Nd915e336b1ac47bfb827f9467a811828 rdf:first sg:person.010546326615.06
114 rdf:rest N783c130cbac14fe5877b138a69a03f93
115 Ne9e313e9ec9f4658a5bf6492b33af544 rdf:first sg:person.015712634121.91
116 rdf:rest N1f0357ce82cf414cba92784f7f319a88
117 Nf0582442f82443da876d93ed50980a6f schema:volumeNumber 27
118 rdf:type schema:PublicationVolume
119 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
120 schema:name Engineering
121 rdf:type schema:DefinedTerm
122 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
123 schema:name Materials Engineering
124 rdf:type schema:DefinedTerm
125 sg:journal.1042007 schema:issn 1059-9495
126 1544-1024
127 schema:name Journal of Materials Engineering and Performance
128 schema:publisher Springer Nature
129 rdf:type schema:Periodical
130 sg:person.010546326615.06 schema:affiliation grid-institutes:grid.9594.1
131 schema:familyName Lekatou
132 schema:givenName A.
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010546326615.06
134 rdf:type schema:Person
135 sg:person.011144572363.74 schema:affiliation grid-institutes:None
136 schema:familyName Efremenko
137 schema:givenName V. G.
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011144572363.74
139 rdf:type schema:Person
140 sg:person.012004530236.79 schema:affiliation grid-institutes:None
141 schema:familyName Pastukhova
142 schema:givenName T. V.
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012004530236.79
144 rdf:type schema:Person
145 sg:person.012141267615.95 schema:affiliation grid-institutes:None
146 schema:familyName Zurnadzhy
147 schema:givenName V. I.
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141267615.95
149 rdf:type schema:Person
150 sg:person.015712634121.91 schema:affiliation grid-institutes:None
151 schema:familyName Chabak
152 schema:givenName Yu. G.
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015712634121.91
154 rdf:type schema:Person
155 sg:person.015760747321.03 schema:affiliation grid-institutes:None
156 schema:familyName Azarkhov
157 schema:givenName A. Yu.
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015760747321.03
159 rdf:type schema:Person
160 sg:person.015766523455.76 schema:affiliation grid-institutes:grid.420014.3
161 schema:familyName Shimizu
162 schema:givenName K.
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015766523455.76
164 rdf:type schema:Person
165 sg:pub.10.1007/bf01117388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044659654
166 https://doi.org/10.1007/bf01117388
167 rdf:type schema:CreativeWork
168 sg:pub.10.1007/s10853-012-6998-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052193393
169 https://doi.org/10.1007/s10853-012-6998-6
170 rdf:type schema:CreativeWork
171 sg:pub.10.1007/s11661-016-3336-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014648238
172 https://doi.org/10.1007/s11661-016-3336-7
173 rdf:type schema:CreativeWork
174 sg:pub.10.1007/s11665-017-2943-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091879312
175 https://doi.org/10.1007/s11665-017-2943-9
176 rdf:type schema:CreativeWork
177 sg:pub.10.1007/s12613-016-1277-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015799804
178 https://doi.org/10.1007/s12613-016-1277-1
179 rdf:type schema:CreativeWork
180 sg:pub.10.1023/a:1004573524282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037030500
181 https://doi.org/10.1023/a:1004573524282
182 rdf:type schema:CreativeWork
183 sg:pub.10.1023/a:1017567020321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044764343
184 https://doi.org/10.1023/a:1017567020321
185 rdf:type schema:CreativeWork
186 sg:pub.10.1038/srep37444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045180861
187 https://doi.org/10.1038/srep37444
188 rdf:type schema:CreativeWork
189 grid-institutes:None schema:alternateName Priazovskyi State Technical University, Mariupol, Ukraine
190 schema:name Priazovskyi State Technical University, Mariupol, Ukraine
191 rdf:type schema:Organization
192 grid-institutes:grid.420014.3 schema:alternateName Muroran Institute of Technology, Muroran, Japan
193 schema:name Muroran Institute of Technology, Muroran, Japan
194 rdf:type schema:Organization
195 grid-institutes:grid.9594.1 schema:alternateName University of Ioannina, Ioannina, Greece
196 schema:name University of Ioannina, Ioannina, Greece
197 rdf:type schema:Organization
 




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


...