Dry Sliding Tribological Properties of Fe-Based Bulk Metallic Glass View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-04-28

AUTHORS

Dawit Zenebe Segu, Jae Hyouk Choi, Seonghoon Yi, Seock Sam Kim

ABSTRACT

The dry or unlubricated sliding friction and wear properties of as-cast and annealed BMG (bulk metallic glass) with nominal composition of Fe66.7C7.0Si3.3B5.5P8.7Cr2.3Al2.0Mo4.5 against Si3N4 ceramic ball was studied, along with a conventional material, using a ball-on-disk tribotester at room temperature. The overall average coefficient of friction value of the as-cast BMG was in the range of 0.26–0.42, which was better than the conventional material SUJ2 (0.36–0.46) and comparable with SUS304 (0.31–0.40). The wear mechanism of the Fe-based BMG changed with wear condition. The wear rate increased with increasing load. The hardness of the BMG increased during annealing, however, the wear resistance did not increase proportionally. More... »

PAGES

131-138

Journal

TITLE

Tribology Letters

ISSUE

1

VOLUME

47

Related Patents

  • Method For Embedding Inserts, Fasteners And Features Into Metal Core Truss Panels
  • Methods For Fabricating Bulk Metallic Glass-Based Macroscale Gears
  • Systems And Methods For Implementing Tailored Metallic Glass-Based Strain Wave Gears And Strain Wave Gear Components
  • Multi-Functional Textile And Related Methods Of Manufacturing
  • Systems And Methods For Structurally Interrelating Components Using Inserts Made From Metallic Glass-Based Materials
  • Systems And Methods For Additive Manufacturing Processes That Strategically Buildup Objects
  • Methods For Fabricating Strain Wave Gear Flexsplines Using Metal Additive Manufacturing
  • Systems And Methods For Implementing Bulk Metallic Glass-Based Macroscale Compliant Mechanisms
  • Systems And Methods For Shaping Sheet Materials That Include Metallic Glass-Based Materials
  • Systems And Methods For Fabricating Objects Including Amorphous Metal Using Techniques Akin To Additive Manufacturing
  • Systems And Methods For Structurally Interrelating Components Using Inserts Made From Metallic Glass-Based Materials
  • Systems And Methods For Fabricating Objects Including Amorphous Metal Using Techniques Akin To Additive Manufacturing
  • Dendrite-Reinforced Titanium-Based Metal Matrix Composites
  • Systems And Methods For Implementing Tailored Metallic Glass-Based Strain Wave Gears And Strain Wave Gear Components
  • High Toughness Metallic Glass-Based Composites For Additive Manufacturing
  • Hypoeutectic Amorphous Metal-Based Materials For Additive Manufacturing
  • Methods Of Fabricating A Layer Of Metallic Glass-Based Material Using Immersion And Pouring Techniques
  • Systems And Methods For Implementing Robust Gearbox Housings
  • Systems And Methods For Implementing Bulk Metallic Glass-Based Strain Wave Gears And Strain Wave Gear Components
  • Method For Manufacturing Bulk Metallic Glass-Based Strain Wave Gear Components
  • Systems And Methods For Implementing Flexible Members Including Integrated Tools Made From Metallic Glass-Based Materials
  • Systems And Methods For Fabricating Structures Including Metallic Glass-Based Materials Using Low Pressure Casting
  • Systems And Methods For Fabricating Structures Including Metallic Glass-Based Materials Using Ultrasonic Welding
  • Systems And Methods For Implementing Flexible Members Including Integrated Tools Made From Metallic Glass-Based Materials
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11249-012-9969-9

    DOI

    http://dx.doi.org/10.1007/s11249-012-9969-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1051121354


    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": "Department of Mechanical Engineering, Graduate School, Kyungpook National University, 702-701, Daegu, Korea", 
              "id": "http://www.grid.ac/institutes/grid.258803.4", 
              "name": [
                "Department of Mechanical Engineering, Graduate School, Kyungpook National University, 702-701, Daegu, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Segu", 
            "givenName": "Dawit Zenebe", 
            "id": "sg:person.013560636243.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013560636243.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Architecture, Chosun University, 501-759, Gwangju, Korea", 
              "id": "http://www.grid.ac/institutes/grid.254187.d", 
              "name": [
                "School of Architecture, Chosun University, 501-759, Gwangju, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Choi", 
            "givenName": "Jae Hyouk", 
            "id": "sg:person.016506523247.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016506523247.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Material Science and Metallurgy, Kyungpook National University, 702-701, Daegu, Korea", 
              "id": "http://www.grid.ac/institutes/grid.258803.4", 
              "name": [
                "Department of Material Science and Metallurgy, Kyungpook National University, 702-701, Daegu, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yi", 
            "givenName": "Seonghoon", 
            "id": "sg:person.012416046304.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012416046304.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Mechanical Engineering, Graduate School, Kyungpook National University, 702-701, Daegu, Korea", 
              "id": "http://www.grid.ac/institutes/grid.258803.4", 
              "name": [
                "Department of Mechanical Engineering, Graduate School, Kyungpook National University, 702-701, Daegu, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Seock Sam", 
            "id": "sg:person.016546540243.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016546540243.09"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00549329", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037331364", 
              "https://doi.org/10.1007/bf00549329"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1019191303146", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005628790", 
              "https://doi.org/10.1023/a:1019191303146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1018840023845", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021426050", 
              "https://doi.org/10.1023/a:1018840023845"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-011-5928-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001834392", 
              "https://doi.org/10.1007/s10853-011-5928-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1557/jmr.2007.0048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011857557", 
              "https://doi.org/10.1557/jmr.2007.0048"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-04-28", 
        "datePublishedReg": "2012-04-28", 
        "description": "The dry or unlubricated sliding friction and wear properties of as-cast and annealed BMG (bulk metallic glass) with nominal composition of Fe66.7C7.0Si3.3B5.5P8.7Cr2.3Al2.0Mo4.5 against Si3N4 ceramic ball was studied, along with a conventional material, using a ball-on-disk tribotester at room temperature. The overall average coefficient of friction value of the as-cast BMG was in the range of 0.26\u20130.42, which was better than the conventional material SUJ2 (0.36\u20130.46) and comparable with SUS304 (0.31\u20130.40). The wear mechanism of the Fe-based BMG changed with wear condition. The wear rate increased with increasing load. The hardness of the BMG increased during annealing, however, the wear resistance did not increase proportionally.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11249-012-9969-9", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1133987", 
            "issn": [
              "1023-8883", 
              "1573-2711"
            ], 
            "name": "Tribology Letters", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "47"
          }
        ], 
        "keywords": [
          "Si3N4 ceramic balls", 
          "bulk metallic glass", 
          "overall average coefficient", 
          "wear mechanism", 
          "wear resistance", 
          "disc tribotester", 
          "ceramic balls", 
          "tribological properties", 
          "wear conditions", 
          "wear rate", 
          "conventional materials", 
          "friction values", 
          "metallic glasses", 
          "BMG", 
          "nominal composition", 
          "room temperature", 
          "average coefficient", 
          "tribotester", 
          "ball", 
          "SUJ2", 
          "friction", 
          "hardness", 
          "annealing", 
          "properties", 
          "Fe", 
          "load", 
          "glass", 
          "temperature", 
          "materials", 
          "coefficient", 
          "resistance", 
          "range", 
          "conditions", 
          "composition", 
          "values", 
          "rate", 
          "mechanism"
        ], 
        "name": "Dry Sliding Tribological Properties of Fe-Based Bulk Metallic Glass", 
        "pagination": "131-138", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1051121354"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11249-012-9969-9"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11249-012-9969-9", 
          "https://app.dimensions.ai/details/publication/pub.1051121354"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T15:56", 
        "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_567.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11249-012-9969-9"
      }
    ]
     

    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/s11249-012-9969-9'

    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/s11249-012-9969-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11249-012-9969-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11249-012-9969-9'


     

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

    140 TRIPLES      21 PREDICATES      66 URIs      53 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11249-012-9969-9 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author Nd4dddc22ee5c415ba8f4f727013598bb
    4 schema:citation sg:pub.10.1007/bf00549329
    5 sg:pub.10.1007/s10853-011-5928-3
    6 sg:pub.10.1023/a:1018840023845
    7 sg:pub.10.1023/a:1019191303146
    8 sg:pub.10.1557/jmr.2007.0048
    9 schema:datePublished 2012-04-28
    10 schema:datePublishedReg 2012-04-28
    11 schema:description The dry or unlubricated sliding friction and wear properties of as-cast and annealed BMG (bulk metallic glass) with nominal composition of Fe66.7C7.0Si3.3B5.5P8.7Cr2.3Al2.0Mo4.5 against Si3N4 ceramic ball was studied, along with a conventional material, using a ball-on-disk tribotester at room temperature. The overall average coefficient of friction value of the as-cast BMG was in the range of 0.26–0.42, which was better than the conventional material SUJ2 (0.36–0.46) and comparable with SUS304 (0.31–0.40). The wear mechanism of the Fe-based BMG changed with wear condition. The wear rate increased with increasing load. The hardness of the BMG increased during annealing, however, the wear resistance did not increase proportionally.
    12 schema:genre article
    13 schema:isAccessibleForFree false
    14 schema:isPartOf N69ea426860f94975a6d2db216f8a9019
    15 Nac48a234b0304eb385fe1570c971b3f8
    16 sg:journal.1133987
    17 schema:keywords BMG
    18 Fe
    19 SUJ2
    20 Si3N4 ceramic balls
    21 annealing
    22 average coefficient
    23 ball
    24 bulk metallic glass
    25 ceramic balls
    26 coefficient
    27 composition
    28 conditions
    29 conventional materials
    30 disc tribotester
    31 friction
    32 friction values
    33 glass
    34 hardness
    35 load
    36 materials
    37 mechanism
    38 metallic glasses
    39 nominal composition
    40 overall average coefficient
    41 properties
    42 range
    43 rate
    44 resistance
    45 room temperature
    46 temperature
    47 tribological properties
    48 tribotester
    49 values
    50 wear conditions
    51 wear mechanism
    52 wear rate
    53 wear resistance
    54 schema:name Dry Sliding Tribological Properties of Fe-Based Bulk Metallic Glass
    55 schema:pagination 131-138
    56 schema:productId N43946b90cd2f451196e4d55a5b610bf5
    57 N4638fc81cb5f4dfc8f3c2ea9ad0da59d
    58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051121354
    59 https://doi.org/10.1007/s11249-012-9969-9
    60 schema:sdDatePublished 2022-09-02T15:56
    61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    62 schema:sdPublisher N3900ac3715204f0b9e32722c915cc5e3
    63 schema:url https://doi.org/10.1007/s11249-012-9969-9
    64 sgo:license sg:explorer/license/
    65 sgo:sdDataset articles
    66 rdf:type schema:ScholarlyArticle
    67 N02a251f8b1c741c4b0dfef6323edd1ca rdf:first sg:person.016506523247.16
    68 rdf:rest Nd194d7bc407b468283b6e1d3e44e8e39
    69 N3900ac3715204f0b9e32722c915cc5e3 schema:name Springer Nature - SN SciGraph project
    70 rdf:type schema:Organization
    71 N43946b90cd2f451196e4d55a5b610bf5 schema:name doi
    72 schema:value 10.1007/s11249-012-9969-9
    73 rdf:type schema:PropertyValue
    74 N4638fc81cb5f4dfc8f3c2ea9ad0da59d schema:name dimensions_id
    75 schema:value pub.1051121354
    76 rdf:type schema:PropertyValue
    77 N69ea426860f94975a6d2db216f8a9019 schema:volumeNumber 47
    78 rdf:type schema:PublicationVolume
    79 N95265967a88f4558940be593b2c9a891 rdf:first sg:person.016546540243.09
    80 rdf:rest rdf:nil
    81 Nac48a234b0304eb385fe1570c971b3f8 schema:issueNumber 1
    82 rdf:type schema:PublicationIssue
    83 Nd194d7bc407b468283b6e1d3e44e8e39 rdf:first sg:person.012416046304.01
    84 rdf:rest N95265967a88f4558940be593b2c9a891
    85 Nd4dddc22ee5c415ba8f4f727013598bb rdf:first sg:person.013560636243.83
    86 rdf:rest N02a251f8b1c741c4b0dfef6323edd1ca
    87 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Engineering
    89 rdf:type schema:DefinedTerm
    90 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    91 schema:name Materials Engineering
    92 rdf:type schema:DefinedTerm
    93 sg:journal.1133987 schema:issn 1023-8883
    94 1573-2711
    95 schema:name Tribology Letters
    96 schema:publisher Springer Nature
    97 rdf:type schema:Periodical
    98 sg:person.012416046304.01 schema:affiliation grid-institutes:grid.258803.4
    99 schema:familyName Yi
    100 schema:givenName Seonghoon
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012416046304.01
    102 rdf:type schema:Person
    103 sg:person.013560636243.83 schema:affiliation grid-institutes:grid.258803.4
    104 schema:familyName Segu
    105 schema:givenName Dawit Zenebe
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013560636243.83
    107 rdf:type schema:Person
    108 sg:person.016506523247.16 schema:affiliation grid-institutes:grid.254187.d
    109 schema:familyName Choi
    110 schema:givenName Jae Hyouk
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016506523247.16
    112 rdf:type schema:Person
    113 sg:person.016546540243.09 schema:affiliation grid-institutes:grid.258803.4
    114 schema:familyName Kim
    115 schema:givenName Seock Sam
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016546540243.09
    117 rdf:type schema:Person
    118 sg:pub.10.1007/bf00549329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037331364
    119 https://doi.org/10.1007/bf00549329
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1007/s10853-011-5928-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001834392
    122 https://doi.org/10.1007/s10853-011-5928-3
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1023/a:1018840023845 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021426050
    125 https://doi.org/10.1023/a:1018840023845
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1023/a:1019191303146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005628790
    128 https://doi.org/10.1023/a:1019191303146
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1557/jmr.2007.0048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011857557
    131 https://doi.org/10.1557/jmr.2007.0048
    132 rdf:type schema:CreativeWork
    133 grid-institutes:grid.254187.d schema:alternateName School of Architecture, Chosun University, 501-759, Gwangju, Korea
    134 schema:name School of Architecture, Chosun University, 501-759, Gwangju, Korea
    135 rdf:type schema:Organization
    136 grid-institutes:grid.258803.4 schema:alternateName Department of Material Science and Metallurgy, Kyungpook National University, 702-701, Daegu, Korea
    137 Department of Mechanical Engineering, Graduate School, Kyungpook National University, 702-701, Daegu, Korea
    138 schema:name Department of Material Science and Metallurgy, Kyungpook National University, 702-701, Daegu, Korea
    139 Department of Mechanical Engineering, Graduate School, Kyungpook National University, 702-701, Daegu, Korea
    140 rdf:type schema:Organization
     




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


    ...