Effect of Combined Addition of Cu and Aluminum Oxide Nanoparticles on Mechanical Properties and Microstructure of Al-7Si-0.3Mg Alloy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-02

AUTHORS

Hongseok Choi, Milton Jones, Hiromi Konishi, Xiaochun Li

ABSTRACT

In this study, an ultrasonic cavitation based dispersion technique was used to fabricate Al-7Si-0.3Mg alloyed with Cu and reinforced with 1 wt pct Al2O3 nanoparticles, in order to investigate their influence on the mechanical properties and microstructures of Al-7Si-0.3Mg alloy. The combined addition of 0.5 pct Cu with 1 pct Al2O3 nanoparticles increased the yield strength, tensile strength, and ductility of the as-cast Al-7Si-0.3Mg alloy, mostly due to grain refinement and modification of the eutectic Si and θ-CuAl2 phases. Moreover, Al-7Si-0.3Mg-0.5Cu-1 pct Al2O3 nanocomposites after T6 heat treatment showed a significant enhancement of ductility (increased by 512 pct) and tensile strength (by 22 pct). The significant enhancement of properties is attributed to the suppression of pore formation and modification of eutectic Si phases due to the addition of Al2O3 nanoparticles. However, the yield strength of the T6 heat-treated nanocomposites was limited in enhancement due to a reaction between Mg and Al2O3 nanoparticles. More... »

PAGES

738-746

References to SciGraph publications

  • 2011-08. Nucleation Catalysis in Aluminum Alloy A356 Using Nanoscale Inoculants in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2011-05. Characterization of hot extruded Mg/SiC nanocomposites fabricated by casting in JOURNAL OF MATERIALS SCIENCE
  • 1999-02. Nucleation Effect of Alumina in Al-Si/Al2O3 Composites in JOURNAL OF MATERIALS SCIENCE LETTERS
  • 2001-06. Metastable phases in an Al-Mg-Si alloy containing copper in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • Journal

    Author Affiliations

    Related Patents

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11661-011-0905-7

    DOI

    http://dx.doi.org/10.1007/s11661-011-0905-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045594874


    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 Wisconsin\u2013Madison", 
              "id": "https://www.grid.ac/institutes/grid.14003.36", 
              "name": [
                "Department of Mechanical Engineering, University of Wisconsin-Madison, 53706, Madison, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Choi", 
            "givenName": "Hongseok", 
            "id": "sg:person.013202071251.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013202071251.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Wisconsin\u2013Madison", 
              "id": "https://www.grid.ac/institutes/grid.14003.36", 
              "name": [
                "Materials Science Program, University of Wisconsin-Madison, Madison, USA", 
                "Brady Corporation, 53201-0571, Milwaukee, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jones", 
            "givenName": "Milton", 
            "id": "sg:person.013610717667.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013610717667.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Wisconsin\u2013Madison", 
              "id": "https://www.grid.ac/institutes/grid.14003.36", 
              "name": [
                "Department of Mechanical Engineering, University of Wisconsin-Madison, 53706, Madison, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Konishi", 
            "givenName": "Hiromi", 
            "id": "sg:person.0606542341.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606542341.55"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Wisconsin\u2013Madison", 
              "id": "https://www.grid.ac/institutes/grid.14003.36", 
              "name": [
                "Department of Mechanical Engineering, University of Wisconsin-Madison, 53706, Madison, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Xiaochun", 
            "id": "sg:person.07425005723.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07425005723.41"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0921-5093(03)00276-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003036799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0921-5093(03)00276-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003036799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2004.07.068", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006030207"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2007.09.054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006665086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2464/jilm.48.207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007511036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2464/jilm.30.609", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008847356"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2464/jilm.30.609", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008847356"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-011-0607-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010114266", 
              "https://doi.org/10.1007/s11661-011-0607-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2007.02.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010706092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jallcom.2006.07.113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010783156"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2007.11.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011720425"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1359-6462(98)00492-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013070584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2464/jilm.49.149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016305584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2009.04.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018316548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-001-0219-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023543086", 
              "https://doi.org/10.1007/s11661-001-0219-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-001-0219-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023543086", 
              "https://doi.org/10.1007/s11661-001-0219-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.matsci.29.1.295", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026307443"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0924-0136(02)00103-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029940152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2007.12.050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035842504"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pssa.200521409", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039014031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pssa.200521409", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039014031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0921-5093(00)00627-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042787677"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-010-5176-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046223884", 
              "https://doi.org/10.1007/s10853-010-5176-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2004.03.073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046962620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1006643609938", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051894878", 
              "https://doi.org/10.1023/a:1006643609938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/13640461.2002.11819442", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058385395"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physrevlett.82.2713", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060819204"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physrevlett.82.2713", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060819204"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-02", 
        "datePublishedReg": "2012-02-01", 
        "description": "In this study, an ultrasonic cavitation based dispersion technique was used to fabricate Al-7Si-0.3Mg alloyed with Cu and reinforced with 1 wt pct Al2O3 nanoparticles, in order to investigate their influence on the mechanical properties and microstructures of Al-7Si-0.3Mg alloy. The combined addition of 0.5 pct Cu with 1 pct Al2O3 nanoparticles increased the yield strength, tensile strength, and ductility of the as-cast Al-7Si-0.3Mg alloy, mostly due to grain refinement and modification of the eutectic Si and \u03b8-CuAl2 phases. Moreover, Al-7Si-0.3Mg-0.5Cu-1 pct Al2O3 nanocomposites after T6 heat treatment showed a significant enhancement of ductility (increased by 512 pct) and tensile strength (by 22 pct). The significant enhancement of properties is attributed to the suppression of pore formation and modification of eutectic Si phases due to the addition of Al2O3 nanoparticles. However, the yield strength of the T6 heat-treated nanocomposites was limited in enhancement due to a reaction between Mg and Al2O3 nanoparticles.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11661-011-0905-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136292", 
            "issn": [
              "1073-5623", 
              "1543-1940"
            ], 
            "name": "Metallurgical and Materials Transactions A", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "43"
          }
        ], 
        "name": "Effect of Combined Addition of Cu and Aluminum Oxide Nanoparticles on Mechanical Properties and Microstructure of Al-7Si-0.3Mg Alloy", 
        "pagination": "738-746", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d9305325af7f8c23981dd873b5e0b6e88756e856a8b0e7a4fef727108429aa01"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11661-011-0905-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1045594874"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11661-011-0905-7", 
          "https://app.dimensions.ai/details/publication/pub.1045594874"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:39", 
        "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_8687_00000524.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs11661-011-0905-7"
      }
    ]
     

    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/s11661-011-0905-7'

    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/s11661-011-0905-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11661-011-0905-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11661-011-0905-7'


     

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

    157 TRIPLES      21 PREDICATES      50 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11661-011-0905-7 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author N0440e154b01243428b2a7179bb0aeade
    4 schema:citation sg:pub.10.1007/s10853-010-5176-y
    5 sg:pub.10.1007/s11661-001-0219-2
    6 sg:pub.10.1007/s11661-011-0607-1
    7 sg:pub.10.1023/a:1006643609938
    8 https://doi.org/10.1002/pssa.200521409
    9 https://doi.org/10.1016/j.jallcom.2006.07.113
    10 https://doi.org/10.1016/j.jmatprotec.2004.07.068
    11 https://doi.org/10.1016/j.jmatprotec.2007.12.050
    12 https://doi.org/10.1016/j.msea.2004.03.073
    13 https://doi.org/10.1016/j.msea.2007.02.023
    14 https://doi.org/10.1016/j.msea.2007.09.054
    15 https://doi.org/10.1016/j.msea.2007.11.014
    16 https://doi.org/10.1016/j.msea.2009.04.014
    17 https://doi.org/10.1016/s0921-5093(00)00627-4
    18 https://doi.org/10.1016/s0921-5093(03)00276-4
    19 https://doi.org/10.1016/s0924-0136(02)00103-6
    20 https://doi.org/10.1016/s1359-6462(98)00492-8
    21 https://doi.org/10.1080/13640461.2002.11819442
    22 https://doi.org/10.1103/physrevlett.82.2713
    23 https://doi.org/10.1146/annurev.matsci.29.1.295
    24 https://doi.org/10.2464/jilm.30.609
    25 https://doi.org/10.2464/jilm.48.207
    26 https://doi.org/10.2464/jilm.49.149
    27 schema:datePublished 2012-02
    28 schema:datePublishedReg 2012-02-01
    29 schema:description In this study, an ultrasonic cavitation based dispersion technique was used to fabricate Al-7Si-0.3Mg alloyed with Cu and reinforced with 1 wt pct Al2O3 nanoparticles, in order to investigate their influence on the mechanical properties and microstructures of Al-7Si-0.3Mg alloy. The combined addition of 0.5 pct Cu with 1 pct Al2O3 nanoparticles increased the yield strength, tensile strength, and ductility of the as-cast Al-7Si-0.3Mg alloy, mostly due to grain refinement and modification of the eutectic Si and θ-CuAl2 phases. Moreover, Al-7Si-0.3Mg-0.5Cu-1 pct Al2O3 nanocomposites after T6 heat treatment showed a significant enhancement of ductility (increased by 512 pct) and tensile strength (by 22 pct). The significant enhancement of properties is attributed to the suppression of pore formation and modification of eutectic Si phases due to the addition of Al2O3 nanoparticles. However, the yield strength of the T6 heat-treated nanocomposites was limited in enhancement due to a reaction between Mg and Al2O3 nanoparticles.
    30 schema:genre research_article
    31 schema:inLanguage en
    32 schema:isAccessibleForFree false
    33 schema:isPartOf N61f944bf2b8a432aafed0a1c336081bf
    34 Nbfca5649716a4449981e374e65a86ad0
    35 sg:journal.1136292
    36 schema:name Effect of Combined Addition of Cu and Aluminum Oxide Nanoparticles on Mechanical Properties and Microstructure of Al-7Si-0.3Mg Alloy
    37 schema:pagination 738-746
    38 schema:productId N24ae87f467744b48a41810b2d1df5fed
    39 N69a0649f3f644a0db12a6708d9b38e1a
    40 Na24a995720064f70890d7bca5f949933
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045594874
    42 https://doi.org/10.1007/s11661-011-0905-7
    43 schema:sdDatePublished 2019-04-10T21:39
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N1de90edb6476416caeb9b007941168fa
    46 schema:url http://link.springer.com/10.1007%2Fs11661-011-0905-7
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset articles
    49 rdf:type schema:ScholarlyArticle
    50 N0440e154b01243428b2a7179bb0aeade rdf:first sg:person.013202071251.99
    51 rdf:rest N0ef6dcb411c34cc98fc73117d37b90c5
    52 N0ef6dcb411c34cc98fc73117d37b90c5 rdf:first sg:person.013610717667.34
    53 rdf:rest N614b584a7b56436e9dfe58b63f787882
    54 N1de90edb6476416caeb9b007941168fa schema:name Springer Nature - SN SciGraph project
    55 rdf:type schema:Organization
    56 N24ae87f467744b48a41810b2d1df5fed schema:name readcube_id
    57 schema:value d9305325af7f8c23981dd873b5e0b6e88756e856a8b0e7a4fef727108429aa01
    58 rdf:type schema:PropertyValue
    59 N614b584a7b56436e9dfe58b63f787882 rdf:first sg:person.0606542341.55
    60 rdf:rest Nfc9f68f0ebbb4ae8906a7a18cfd9e131
    61 N61f944bf2b8a432aafed0a1c336081bf schema:volumeNumber 43
    62 rdf:type schema:PublicationVolume
    63 N69a0649f3f644a0db12a6708d9b38e1a schema:name doi
    64 schema:value 10.1007/s11661-011-0905-7
    65 rdf:type schema:PropertyValue
    66 Na24a995720064f70890d7bca5f949933 schema:name dimensions_id
    67 schema:value pub.1045594874
    68 rdf:type schema:PropertyValue
    69 Nbfca5649716a4449981e374e65a86ad0 schema:issueNumber 2
    70 rdf:type schema:PublicationIssue
    71 Nfc9f68f0ebbb4ae8906a7a18cfd9e131 rdf:first sg:person.07425005723.41
    72 rdf:rest rdf:nil
    73 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    74 schema:name Engineering
    75 rdf:type schema:DefinedTerm
    76 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    77 schema:name Materials Engineering
    78 rdf:type schema:DefinedTerm
    79 sg:journal.1136292 schema:issn 1073-5623
    80 1543-1940
    81 schema:name Metallurgical and Materials Transactions A
    82 rdf:type schema:Periodical
    83 sg:person.013202071251.99 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
    84 schema:familyName Choi
    85 schema:givenName Hongseok
    86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013202071251.99
    87 rdf:type schema:Person
    88 sg:person.013610717667.34 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
    89 schema:familyName Jones
    90 schema:givenName Milton
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013610717667.34
    92 rdf:type schema:Person
    93 sg:person.0606542341.55 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
    94 schema:familyName Konishi
    95 schema:givenName Hiromi
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606542341.55
    97 rdf:type schema:Person
    98 sg:person.07425005723.41 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
    99 schema:familyName Li
    100 schema:givenName Xiaochun
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07425005723.41
    102 rdf:type schema:Person
    103 sg:pub.10.1007/s10853-010-5176-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046223884
    104 https://doi.org/10.1007/s10853-010-5176-y
    105 rdf:type schema:CreativeWork
    106 sg:pub.10.1007/s11661-001-0219-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023543086
    107 https://doi.org/10.1007/s11661-001-0219-2
    108 rdf:type schema:CreativeWork
    109 sg:pub.10.1007/s11661-011-0607-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010114266
    110 https://doi.org/10.1007/s11661-011-0607-1
    111 rdf:type schema:CreativeWork
    112 sg:pub.10.1023/a:1006643609938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051894878
    113 https://doi.org/10.1023/a:1006643609938
    114 rdf:type schema:CreativeWork
    115 https://doi.org/10.1002/pssa.200521409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039014031
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1016/j.jallcom.2006.07.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010783156
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.1016/j.jmatprotec.2004.07.068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006030207
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1016/j.jmatprotec.2007.12.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035842504
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1016/j.msea.2004.03.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046962620
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1016/j.msea.2007.02.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010706092
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1016/j.msea.2007.09.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006665086
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/j.msea.2007.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011720425
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/j.msea.2009.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018316548
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/s0921-5093(00)00627-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042787677
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/s0921-5093(03)00276-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003036799
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/s0924-0136(02)00103-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029940152
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/s1359-6462(98)00492-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013070584
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1080/13640461.2002.11819442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058385395
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1103/physrevlett.82.2713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060819204
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1146/annurev.matsci.29.1.295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026307443
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.2464/jilm.30.609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008847356
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.2464/jilm.48.207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007511036
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.2464/jilm.49.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016305584
    152 rdf:type schema:CreativeWork
    153 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
    154 schema:name Brady Corporation, 53201-0571, Milwaukee, WI, USA
    155 Department of Mechanical Engineering, University of Wisconsin-Madison, 53706, Madison, WI, USA
    156 Materials Science Program, University of Wisconsin-Madison, Madison, USA
    157 rdf:type schema:Organization
     




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


    ...