Microstructure and Corrosion Behavior of Cold-Sprayed Aluminum Alloy/Inconel Composite Coatings View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

M. Yu, M. Y. Ding, H. Ma, H. L. Liao

ABSTRACT

Inconel 718 is a high-strength metal alloy that exhibits excellent corrosion resistance. Cold spraying is a deposition technique that does not induce phase changes and so was used to form an anti-corrosion composite coating that was composed of an Al5056 matrix reinforced with In718. These composite coatings exhibited a higher corrosion potential and lower corrosion current than the pure Al5056 coating, which provided effective cathodic protection to Al substrate if the substrate corrosion was inadvertently initiated. The electrochemical impedance spectroscopy results indicated that it was the addition of In718 that improved the corrosion resistance of the cold-sprayed coatings. The In718 induced a compacting effect, which reduced the porosity of the coating, and this was found to be the primary reason for the increased corrosion resistance of the Al5056/In718 composite coatings compared to the Al5056 coating. More... »

PAGES

460-471

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11666-018-0817-9

DOI

http://dx.doi.org/10.1007/s11666-018-0817-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110751718


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 Technology of Belfort-Montb\u00e9liard", 
          "id": "https://www.grid.ac/institutes/grid.23082.3b", 
          "name": [
            "Research Center of Sichuan Advanced Welding and Surface Engineering, School of Materials Science and Engineering, Southwest Jiaotong University, 610031, Chengdu, People\u2019s Republic of China", 
            "LERMPS, Universit\u00e9 de Technologie de Belfort-Montb\u00e9liard, Site de S\u00e9venans, 90010, Belfort Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "M.", 
        "id": "sg:person.014213060673.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014213060673.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Southwest Jiaotong University", 
          "id": "https://www.grid.ac/institutes/grid.263901.f", 
          "name": [
            "Research Center of Sichuan Advanced Welding and Surface Engineering, School of Materials Science and Engineering, Southwest Jiaotong University, 610031, Chengdu, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ding", 
        "givenName": "M. Y.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Southwest Jiaotong University", 
          "id": "https://www.grid.ac/institutes/grid.263901.f", 
          "name": [
            "Research Center of Sichuan Advanced Welding and Surface Engineering, School of Materials Science and Engineering, Southwest Jiaotong University, 610031, Chengdu, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "H.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Technology of Belfort-Montb\u00e9liard", 
          "id": "https://www.grid.ac/institutes/grid.23082.3b", 
          "name": [
            "LERMPS, Universit\u00e9 de Technologie de Belfort-Montb\u00e9liard, Site de S\u00e9venans, 90010, Belfort Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liao", 
        "givenName": "H. L.", 
        "id": "sg:person.07444476075.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07444476075.45"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2013.07.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000845960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2016.11.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001356752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2012.06.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001426352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11666-007-9086-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003365922", 
          "https://doi.org/10.1007/s11666-007-9086-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.corsci.2010.05.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004445363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.corsci.2016.10.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006945723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1179/1743294411y.0000000036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007442171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2009.08.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009313293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2014.04.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014296033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2012.05.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018129749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2008.02.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022698035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matdes.2010.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025687572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11666-014-0205-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025964322", 
          "https://doi.org/10.1007/s11666-014-0205-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1533/9781845699451.2.242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027711604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmatprotec.2006.04.072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030337628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2013.10.132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031337112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2016.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034043179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2014.05.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034093022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2009.07.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035179417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1179/1743294415y.0000000018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043079380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11666-016-0492-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043088322", 
          "https://doi.org/10.1007/s11666-016-0492-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11666-016-0492-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043088322", 
          "https://doi.org/10.1007/s11666-016-0492-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09506608.2016.1194948", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045705201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2010.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050105069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2013.05.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050382525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actamat.2016.06.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053447006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/msf.111-112.565", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072101143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/maco.201609346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084014267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11666-017-0608-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091221184", 
          "https://doi.org/10.1007/s11666-017-0608-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11666-017-0608-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091221184", 
          "https://doi.org/10.1007/s11666-017-0608-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-67183-3_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092592257", 
          "https://doi.org/10.1007/978-3-319-67183-3_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surfcoat.2018.06.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105143456"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "Inconel 718 is a high-strength metal alloy that exhibits excellent corrosion resistance. Cold spraying is a deposition technique that does not induce phase changes and so was used to form an anti-corrosion composite coating that was composed of an Al5056 matrix reinforced with In718. These composite coatings exhibited a higher corrosion potential and lower corrosion current than the pure Al5056 coating, which provided effective cathodic protection to Al substrate if the substrate corrosion was inadvertently initiated. The electrochemical impedance spectroscopy results indicated that it was the addition of In718 that improved the corrosion resistance of the cold-sprayed coatings. The In718 induced a compacting effect, which reduced the porosity of the coating, and this was found to be the primary reason for the increased corrosion resistance of the Al5056/In718 composite coatings compared to the Al5056 coating.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11666-018-0817-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136229", 
        "issn": [
          "1059-9630", 
          "1544-1016"
        ], 
        "name": "Journal of Thermal Spray Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "name": "Microstructure and Corrosion Behavior of Cold-Sprayed Aluminum Alloy/Inconel Composite Coatings", 
    "pagination": "460-471", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5e12ccea10cc9ee04397881cf9275fa8ce5fbec1198a61a690df5511b689a715"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11666-018-0817-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110751718"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11666-018-0817-9", 
      "https://app.dimensions.ai/details/publication/pub.1110751718"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:08", 
    "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/v90/0000000338_0000000338/records_47960_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11666-018-0817-9"
  }
]
 

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/s11666-018-0817-9'

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/s11666-018-0817-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11666-018-0817-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11666-018-0817-9'


 

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

179 TRIPLES      21 PREDICATES      57 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11666-018-0817-9 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N1c4ecf31db2148779bdadaf80bd8ff6c
4 schema:citation sg:pub.10.1007/978-3-319-67183-3_13
5 sg:pub.10.1007/s11666-007-9086-8
6 sg:pub.10.1007/s11666-014-0205-z
7 sg:pub.10.1007/s11666-016-0492-7
8 sg:pub.10.1007/s11666-017-0608-8
9 https://doi.org/10.1002/maco.201609346
10 https://doi.org/10.1016/j.actamat.2016.06.034
11 https://doi.org/10.1016/j.apsusc.2009.08.012
12 https://doi.org/10.1016/j.apsusc.2013.10.132
13 https://doi.org/10.1016/j.apsusc.2016.11.022
14 https://doi.org/10.1016/j.corsci.2010.05.023
15 https://doi.org/10.1016/j.corsci.2016.10.019
16 https://doi.org/10.1016/j.jmatprotec.2006.04.072
17 https://doi.org/10.1016/j.matdes.2010.06.002
18 https://doi.org/10.1016/j.surfcoat.2008.02.017
19 https://doi.org/10.1016/j.surfcoat.2009.07.032
20 https://doi.org/10.1016/j.surfcoat.2010.06.008
21 https://doi.org/10.1016/j.surfcoat.2012.05.050
22 https://doi.org/10.1016/j.surfcoat.2012.06.050
23 https://doi.org/10.1016/j.surfcoat.2013.05.009
24 https://doi.org/10.1016/j.surfcoat.2013.07.020
25 https://doi.org/10.1016/j.surfcoat.2014.04.036
26 https://doi.org/10.1016/j.surfcoat.2014.05.018
27 https://doi.org/10.1016/j.surfcoat.2016.11.014
28 https://doi.org/10.1016/j.surfcoat.2018.06.058
29 https://doi.org/10.1080/09506608.2016.1194948
30 https://doi.org/10.1179/1743294411y.0000000036
31 https://doi.org/10.1179/1743294415y.0000000018
32 https://doi.org/10.1533/9781845699451.2.242
33 https://doi.org/10.4028/www.scientific.net/msf.111-112.565
34 schema:datePublished 2019-02
35 schema:datePublishedReg 2019-02-01
36 schema:description Inconel 718 is a high-strength metal alloy that exhibits excellent corrosion resistance. Cold spraying is a deposition technique that does not induce phase changes and so was used to form an anti-corrosion composite coating that was composed of an Al5056 matrix reinforced with In718. These composite coatings exhibited a higher corrosion potential and lower corrosion current than the pure Al5056 coating, which provided effective cathodic protection to Al substrate if the substrate corrosion was inadvertently initiated. The electrochemical impedance spectroscopy results indicated that it was the addition of In718 that improved the corrosion resistance of the cold-sprayed coatings. The In718 induced a compacting effect, which reduced the porosity of the coating, and this was found to be the primary reason for the increased corrosion resistance of the Al5056/In718 composite coatings compared to the Al5056 coating.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf N3d7925144b5a4b56a1a0f6c20f2c71c6
41 Nbc9a3cf69bf94323be7f9f1d80b792ad
42 sg:journal.1136229
43 schema:name Microstructure and Corrosion Behavior of Cold-Sprayed Aluminum Alloy/Inconel Composite Coatings
44 schema:pagination 460-471
45 schema:productId N01c3d3d0bde247fb8d5961695045aa60
46 Ne9e13102d1884efb9ab76d1db3ab121c
47 Nf3f3835e7e55464ab85cfd75418e2bbf
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110751718
49 https://doi.org/10.1007/s11666-018-0817-9
50 schema:sdDatePublished 2019-04-11T09:08
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher Na26ca639bc1b49c6a5abd1b4560b601b
53 schema:url https://link.springer.com/10.1007%2Fs11666-018-0817-9
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N01c3d3d0bde247fb8d5961695045aa60 schema:name dimensions_id
58 schema:value pub.1110751718
59 rdf:type schema:PropertyValue
60 N1c4ecf31db2148779bdadaf80bd8ff6c rdf:first sg:person.014213060673.77
61 rdf:rest N50a0d4847efd4d99b0b4c7b435ce9264
62 N3d7925144b5a4b56a1a0f6c20f2c71c6 schema:issueNumber 3
63 rdf:type schema:PublicationIssue
64 N50a0d4847efd4d99b0b4c7b435ce9264 rdf:first Nd37674a4cb81499a956f1bdb012696d0
65 rdf:rest N5a0412b2cbd44967a30cf7c703bcd81d
66 N5a0412b2cbd44967a30cf7c703bcd81d rdf:first N87d66d7f825d42a49bc03e43d6aa6a05
67 rdf:rest Ne5cca88e558d4eef96751745ca473e55
68 N87d66d7f825d42a49bc03e43d6aa6a05 schema:affiliation https://www.grid.ac/institutes/grid.263901.f
69 schema:familyName Ma
70 schema:givenName H.
71 rdf:type schema:Person
72 Na26ca639bc1b49c6a5abd1b4560b601b schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Nbc9a3cf69bf94323be7f9f1d80b792ad schema:volumeNumber 28
75 rdf:type schema:PublicationVolume
76 Nd37674a4cb81499a956f1bdb012696d0 schema:affiliation https://www.grid.ac/institutes/grid.263901.f
77 schema:familyName Ding
78 schema:givenName M. Y.
79 rdf:type schema:Person
80 Ne5cca88e558d4eef96751745ca473e55 rdf:first sg:person.07444476075.45
81 rdf:rest rdf:nil
82 Ne9e13102d1884efb9ab76d1db3ab121c schema:name doi
83 schema:value 10.1007/s11666-018-0817-9
84 rdf:type schema:PropertyValue
85 Nf3f3835e7e55464ab85cfd75418e2bbf schema:name readcube_id
86 schema:value 5e12ccea10cc9ee04397881cf9275fa8ce5fbec1198a61a690df5511b689a715
87 rdf:type schema:PropertyValue
88 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
89 schema:name Engineering
90 rdf:type schema:DefinedTerm
91 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
92 schema:name Materials Engineering
93 rdf:type schema:DefinedTerm
94 sg:journal.1136229 schema:issn 1059-9630
95 1544-1016
96 schema:name Journal of Thermal Spray Technology
97 rdf:type schema:Periodical
98 sg:person.014213060673.77 schema:affiliation https://www.grid.ac/institutes/grid.23082.3b
99 schema:familyName Yu
100 schema:givenName M.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014213060673.77
102 rdf:type schema:Person
103 sg:person.07444476075.45 schema:affiliation https://www.grid.ac/institutes/grid.23082.3b
104 schema:familyName Liao
105 schema:givenName H. L.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07444476075.45
107 rdf:type schema:Person
108 sg:pub.10.1007/978-3-319-67183-3_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092592257
109 https://doi.org/10.1007/978-3-319-67183-3_13
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s11666-007-9086-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003365922
112 https://doi.org/10.1007/s11666-007-9086-8
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/s11666-014-0205-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025964322
115 https://doi.org/10.1007/s11666-014-0205-z
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s11666-016-0492-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043088322
118 https://doi.org/10.1007/s11666-016-0492-7
119 rdf:type schema:CreativeWork
120 sg:pub.10.1007/s11666-017-0608-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091221184
121 https://doi.org/10.1007/s11666-017-0608-8
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1002/maco.201609346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084014267
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.actamat.2016.06.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053447006
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.apsusc.2009.08.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009313293
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.apsusc.2013.10.132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031337112
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.apsusc.2016.11.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001356752
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.corsci.2010.05.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004445363
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.corsci.2016.10.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006945723
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.jmatprotec.2006.04.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030337628
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.matdes.2010.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025687572
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.surfcoat.2008.02.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022698035
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.surfcoat.2009.07.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035179417
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.surfcoat.2010.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050105069
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.surfcoat.2012.05.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018129749
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.surfcoat.2012.06.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001426352
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.surfcoat.2013.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050382525
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.surfcoat.2013.07.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000845960
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.surfcoat.2014.04.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014296033
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.surfcoat.2014.05.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034093022
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.surfcoat.2016.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034043179
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.surfcoat.2018.06.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105143456
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1080/09506608.2016.1194948 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045705201
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1179/1743294411y.0000000036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007442171
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1179/1743294415y.0000000018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043079380
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1533/9781845699451.2.242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027711604
170 rdf:type schema:CreativeWork
171 https://doi.org/10.4028/www.scientific.net/msf.111-112.565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072101143
172 rdf:type schema:CreativeWork
173 https://www.grid.ac/institutes/grid.23082.3b schema:alternateName University of Technology of Belfort-Montbéliard
174 schema:name LERMPS, Université de Technologie de Belfort-Montbéliard, Site de Sévenans, 90010, Belfort Cedex, France
175 Research Center of Sichuan Advanced Welding and Surface Engineering, School of Materials Science and Engineering, Southwest Jiaotong University, 610031, Chengdu, People’s Republic of China
176 rdf:type schema:Organization
177 https://www.grid.ac/institutes/grid.263901.f schema:alternateName Southwest Jiaotong University
178 schema:name Research Center of Sichuan Advanced Welding and Surface Engineering, School of Materials Science and Engineering, Southwest Jiaotong University, 610031, Chengdu, People’s Republic of China
179 rdf:type schema:Organization
 




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


...