Evaluation of coatings produced via kinetic and cold spray processes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-06

AUTHORS

T. Van Steenkiste, J. R. Smith

ABSTRACT

An analysis of physical and mechanical properties of coatings produced by kinetic and cold spray processes is presented. Adhesion, hardnesses, porosities, critical velocities, and other properties of aluminum and copper coatings from both spray methods are analyzed and discussed, including scanning electron microscopy and optical micrographs. Similarities and differences between each of the coating methods and their effects on the resulting coatings are presented. A brief history and discussion of the bonding mechanisms for the larger particle coatings produced by the kinetic spray method is provided. More... »

PAGES

274-282

References to SciGraph publications

  • 1997-03. Gas-dynamic spraying study of a plane supersonic two-phase jet in JOURNAL OF APPLIED MECHANICS AND TECHNICAL PHYSICS
  • 1998-06. Gas dynamic principles of cold spray in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 1998-09. A cold-gas spray coating process for enhancing titanium in JOM
  • 1999-12. Particle velocity and deposition efficiency in the cold spray process in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 1999-12. Impact of high velocity cold spray particles in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2000-01. Specific features of microparticle deformation upon impact on a rigid barrier in JOURNAL OF APPLIED MECHANICS AND TECHNICAL PHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1361/10599630419427

    DOI

    http://dx.doi.org/10.1361/10599630419427

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1013645802


    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": {
              "name": [
                "Delphi Research Laboratories, 48315, Shelby Township, MI"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Van Steenkiste", 
            "givenName": "T.", 
            "id": "sg:person.010225554731.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010225554731.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Delphi Research Laboratories, 48315, Shelby Township, MI"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Smith", 
            "givenName": "J. R.", 
            "id": "sg:person.014011037331.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014011037331.50"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02467920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004760982", 
              "https://doi.org/10.1007/bf02467920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1361/105996399770350278", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012776735", 
              "https://doi.org/10.1361/105996399770350278"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0257-8972(98)00709-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020093119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1361/105996399770350250", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020972880", 
              "https://doi.org/10.1361/105996399770350250"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0257-8972(02)00018-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036346971"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2514/3.61409", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036733325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2514/3.2714", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041152739"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1361/105996398770350945", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043400429", 
              "https://doi.org/10.1361/105996398770350945"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02465255", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045272422", 
              "https://doi.org/10.1007/bf02465255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11837-998-0417-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053645624", 
              "https://doi.org/10.1007/s11837-998-0417-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1557/proc-542-65", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067943778"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4028/www.scientific.net/kem.197.59", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072060027"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2004-06", 
        "datePublishedReg": "2004-06-01", 
        "description": "An analysis of physical and mechanical properties of coatings produced by kinetic and cold spray processes is presented. Adhesion, hardnesses, porosities, critical velocities, and other properties of aluminum and copper coatings from both spray methods are analyzed and discussed, including scanning electron microscopy and optical micrographs. Similarities and differences between each of the coating methods and their effects on the resulting coatings are presented. A brief history and discussion of the bonding mechanisms for the larger particle coatings produced by the kinetic spray method is provided.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1361/10599630419427", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136229", 
            "issn": [
              "1059-9630", 
              "1544-1016"
            ], 
            "name": "Journal of Thermal Spray Technology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "13"
          }
        ], 
        "name": "Evaluation of coatings produced via kinetic and cold spray processes", 
        "pagination": "274-282", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "4101252a809ef6e5199dd7748c61c5c17ad4c668ec319db1af01411743860a4b"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1361/10599630419427"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1013645802"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1361/10599630419427", 
          "https://app.dimensions.ai/details/publication/pub.1013645802"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T18:17", 
        "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_8675_00000499.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1361/10599630419427"
      }
    ]
     

    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.10.1361/10599630419427'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1361/10599630419427'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1361/10599630419427'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1361/10599630419427'


     

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

    111 TRIPLES      21 PREDICATES      39 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1361/10599630419427 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author N012ea0a9fb334609b79e2be12b3d34ae
    4 schema:citation sg:pub.10.1007/bf02465255
    5 sg:pub.10.1007/bf02467920
    6 sg:pub.10.1007/s11837-998-0417-0
    7 sg:pub.10.1361/105996398770350945
    8 sg:pub.10.1361/105996399770350250
    9 sg:pub.10.1361/105996399770350278
    10 https://doi.org/10.1016/s0257-8972(02)00018-x
    11 https://doi.org/10.1016/s0257-8972(98)00709-9
    12 https://doi.org/10.1557/proc-542-65
    13 https://doi.org/10.2514/3.2714
    14 https://doi.org/10.2514/3.61409
    15 https://doi.org/10.4028/www.scientific.net/kem.197.59
    16 schema:datePublished 2004-06
    17 schema:datePublishedReg 2004-06-01
    18 schema:description An analysis of physical and mechanical properties of coatings produced by kinetic and cold spray processes is presented. Adhesion, hardnesses, porosities, critical velocities, and other properties of aluminum and copper coatings from both spray methods are analyzed and discussed, including scanning electron microscopy and optical micrographs. Similarities and differences between each of the coating methods and their effects on the resulting coatings are presented. A brief history and discussion of the bonding mechanisms for the larger particle coatings produced by the kinetic spray method is provided.
    19 schema:genre research_article
    20 schema:inLanguage en
    21 schema:isAccessibleForFree false
    22 schema:isPartOf N0b0564cec5594aa6a17e975e7fa7303d
    23 Ndd83451860304cc3a194a50bfa261044
    24 sg:journal.1136229
    25 schema:name Evaluation of coatings produced via kinetic and cold spray processes
    26 schema:pagination 274-282
    27 schema:productId N26e1d5c4a28740e0a90a4400d99dac48
    28 Nc9bb9d520afb4b088fd74bf2f8e25d19
    29 Nd560a787bfa0435b9b800c2d09d3e2a5
    30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013645802
    31 https://doi.org/10.1361/10599630419427
    32 schema:sdDatePublished 2019-04-10T18:17
    33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    34 schema:sdPublisher Nf04d0c06617a4a3ea5728aa1b77d538a
    35 schema:url http://link.springer.com/10.1361/10599630419427
    36 sgo:license sg:explorer/license/
    37 sgo:sdDataset articles
    38 rdf:type schema:ScholarlyArticle
    39 N012ea0a9fb334609b79e2be12b3d34ae rdf:first sg:person.010225554731.34
    40 rdf:rest N4ae2409305dd486cb738a7c2185422cc
    41 N0b0564cec5594aa6a17e975e7fa7303d schema:volumeNumber 13
    42 rdf:type schema:PublicationVolume
    43 N26e1d5c4a28740e0a90a4400d99dac48 schema:name dimensions_id
    44 schema:value pub.1013645802
    45 rdf:type schema:PropertyValue
    46 N4ae2409305dd486cb738a7c2185422cc rdf:first sg:person.014011037331.50
    47 rdf:rest rdf:nil
    48 N750d41fd4be948d8827c8ad0d56cffc3 schema:name Delphi Research Laboratories, 48315, Shelby Township, MI
    49 rdf:type schema:Organization
    50 Nc9bb9d520afb4b088fd74bf2f8e25d19 schema:name readcube_id
    51 schema:value 4101252a809ef6e5199dd7748c61c5c17ad4c668ec319db1af01411743860a4b
    52 rdf:type schema:PropertyValue
    53 Nd560a787bfa0435b9b800c2d09d3e2a5 schema:name doi
    54 schema:value 10.1361/10599630419427
    55 rdf:type schema:PropertyValue
    56 Ndd83451860304cc3a194a50bfa261044 schema:issueNumber 2
    57 rdf:type schema:PublicationIssue
    58 Ne53473e2036a46d6893f2f912a33994c schema:name Delphi Research Laboratories, 48315, Shelby Township, MI
    59 rdf:type schema:Organization
    60 Nf04d0c06617a4a3ea5728aa1b77d538a schema:name Springer Nature - SN SciGraph project
    61 rdf:type schema:Organization
    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.1136229 schema:issn 1059-9630
    69 1544-1016
    70 schema:name Journal of Thermal Spray Technology
    71 rdf:type schema:Periodical
    72 sg:person.010225554731.34 schema:affiliation Ne53473e2036a46d6893f2f912a33994c
    73 schema:familyName Van Steenkiste
    74 schema:givenName T.
    75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010225554731.34
    76 rdf:type schema:Person
    77 sg:person.014011037331.50 schema:affiliation N750d41fd4be948d8827c8ad0d56cffc3
    78 schema:familyName Smith
    79 schema:givenName J. R.
    80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014011037331.50
    81 rdf:type schema:Person
    82 sg:pub.10.1007/bf02465255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045272422
    83 https://doi.org/10.1007/bf02465255
    84 rdf:type schema:CreativeWork
    85 sg:pub.10.1007/bf02467920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004760982
    86 https://doi.org/10.1007/bf02467920
    87 rdf:type schema:CreativeWork
    88 sg:pub.10.1007/s11837-998-0417-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053645624
    89 https://doi.org/10.1007/s11837-998-0417-0
    90 rdf:type schema:CreativeWork
    91 sg:pub.10.1361/105996398770350945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043400429
    92 https://doi.org/10.1361/105996398770350945
    93 rdf:type schema:CreativeWork
    94 sg:pub.10.1361/105996399770350250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020972880
    95 https://doi.org/10.1361/105996399770350250
    96 rdf:type schema:CreativeWork
    97 sg:pub.10.1361/105996399770350278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012776735
    98 https://doi.org/10.1361/105996399770350278
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.1016/s0257-8972(02)00018-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036346971
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.1016/s0257-8972(98)00709-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020093119
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.1557/proc-542-65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067943778
    105 rdf:type schema:CreativeWork
    106 https://doi.org/10.2514/3.2714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041152739
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.2514/3.61409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036733325
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.4028/www.scientific.net/kem.197.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072060027
    111 rdf:type schema:CreativeWork
     




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


    ...