Dynamic Failure Investigation in Ultrafine Grained AA2219: Mechanical and Microstructural Analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-07

AUTHORS

Amin Azimi, Gbadebo Moses Owolabi, Hamid Fallahdoost, Nikhil Kumar, Grant Warner

ABSTRACT

In this study, the high strain rate behavior of ultrafine grained (UFG) AA2219 alloy processed via multi axial forging at cryogenic temperature was investigated. Room temperature forged sample was used as a reference to determine the effects of significant grain size refinement on the dynamic response of the materials. The initial microstructure characterization indicated that severe plastic deformation in the cryogenically process alloy resulted in its grain size reduction to ~ 270 nm and the second phase breakage to finer particles. The results of the dynamic impact tests show that the strain hardening and thermal softening are substantially less significant in the UFG materials, whereas the maximum flow stress and the strain rate sensitivity increased. Furthermore, the grain size reduction led to the absorption of higher portion of the deformation energy and an increase in the toughness of the fabricated UFG material when compared to the conventionally forged samples. This improvement is approximately 56% at a strain rate of 4000 s−1 obtained via the grain structure refinement. Microstructure analysis of the post-deformed samples revealed two fully transformed adiabatic shear bands (ASBs) in the coarser grained material due to intense localized strain and thermal instability during the impact tests which caused the pushing off of the second phases and cracks formation inside the ASBs. However, low-intensity deformed ASBs and a notable enhancement in crack initiation strength were observed by morphology and final configuration of the post-deformed UFG samples. In addition, no considerable hardness variations were experienced in the impacted UFG material due to the saturation of grain size during the cryogenically forging process. In contrary to the UFG alloys, significant hardness increase was observed in the deformed coarse grained material which was associated with softening in the adjacent regions providing a zone prone to cracks initiation. More... »

PAGES

1-12

References to SciGraph publications

  • 2016-11. Nano-mechanical properties and microstructure of UFG brass tubes processed by parallel tubular channel angular pressing in METALS AND MATERIALS INTERNATIONAL
  • 2010-09. Work-hardening stages of AA1070 and AA6060 after severe plastic deformation in JOURNAL OF MATERIALS SCIENCE
  • 2017-12. The Effects of Specimen Geometry on the Plastic Deformation of AA 2219-T8 Aluminum Alloy Under Dynamic Impact Loading in JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
  • 2004-04. Nanostructural formation of fine grained aluminum alloy by severe plastic deformation at cryogenic temperature in JOURNAL OF MATERIALS SCIENCE
  • 2016-11. Large deformation behavior of twin-induced plasticity steels under high-pressure torsion in METALS AND MATERIALS INTERNATIONAL
  • 2016-12. The genesis of adiabatic shear bands in SCIENTIFIC REPORTS
  • 2018-06. Dynamic Behavior of AA2519-T8 Aluminum Alloy Under High Strain Rate Loading in Compression in JOURNAL OF DYNAMIC BEHAVIOR OF MATERIALS
  • 2017-06. Plastic deformation of FCC alloys at cryogenic temperature: the effect of stacking-fault energy on microstructure and tensile behaviour in JOURNAL OF MATERIALS SCIENCE
  • 2017-03. Multi-axial forging of Fe3Al-base intermetallic alloy and its mechanical properties in JOURNAL OF MATERIALS SCIENCE
  • 2006-02. Mechanical properties of ultrafine grained 5052 Al alloy produced by accumulative roll-bonding and cryogenic rolling in METALS AND MATERIALS INTERNATIONAL
  • 2001-10. Developing SPD methods for processing bulk nanostructured materials with enhanced properties in METALS AND MATERIALS INTERNATIONAL
  • 2012-11. The achievement of high strength in an Al 6061 alloy by the application of cryogenic and warm rolling in JOURNAL OF MATERIALS SCIENCE
  • 2007-12. Theoretical and metrical standardization of strain rate sensitivity index in SCIENCE IN CHINA SERIES E: TECHNOLOGICAL SCIENCES
  • 2015-02. Improving homogeneity of ultrafine-grained/nanostructured materials produced by ECAP using a bevel-edge punch in JOURNAL OF MATERIALS SCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12540-019-00254-x

    DOI

    http://dx.doi.org/10.1007/s12540-019-00254-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111982996


    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": "Howard University", 
              "id": "https://www.grid.ac/institutes/grid.257127.4", 
              "name": [
                "Department of Mechanical Engineering, Howard University, 20059, Washington, DC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Azimi", 
            "givenName": "Amin", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Howard University", 
              "id": "https://www.grid.ac/institutes/grid.257127.4", 
              "name": [
                "Department of Mechanical Engineering, Howard University, 20059, Washington, DC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Owolabi", 
            "givenName": "Gbadebo Moses", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Binghamton University", 
              "id": "https://www.grid.ac/institutes/grid.264260.4", 
              "name": [
                "Department of Mechanical Engineering, Materials Science and Engineering Program, Binghamton University (SUNY), 13902, Binghamton, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fallahdoost", 
            "givenName": "Hamid", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Howard University", 
              "id": "https://www.grid.ac/institutes/grid.257127.4", 
              "name": [
                "Department of Mechanical Engineering, Howard University, 20059, Washington, DC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumar", 
            "givenName": "Nikhil", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Howard University", 
              "id": "https://www.grid.ac/institutes/grid.257127.4", 
              "name": [
                "Department of Mechanical Engineering, Howard University, 20059, Washington, DC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Warner", 
            "givenName": "Grant", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.matdes.2015.03.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000872129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matlet.2008.01.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002753398"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/met6030051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008191504"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12540-016-6152-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010200898", 
              "https://doi.org/10.1007/s12540-016-6152-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12540-016-6152-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010200898", 
              "https://doi.org/10.1007/s12540-016-6152-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03027081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010357970", 
              "https://doi.org/10.1007/bf03027081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03027081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010357970", 
              "https://doi.org/10.1007/bf03027081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03027081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010357970", 
              "https://doi.org/10.1007/bf03027081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-014-8712-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012596652", 
              "https://doi.org/10.1007/s10853-014-8712-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-010-4595-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014104096", 
              "https://doi.org/10.1007/s10853-010-4595-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-010-4595-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014104096", 
              "https://doi.org/10.1007/s10853-010-4595-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:jmsc.0000021463.83899.b3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016691660", 
              "https://doi.org/10.1023/b:jmsc.0000021463.83899.b3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2016.09.047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016804047"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2017.01.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020833570"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.actamat.2004.09.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023644476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-016-0584-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025030004", 
              "https://doi.org/10.1007/s10853-016-0584-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-016-0584-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025030004", 
              "https://doi.org/10.1007/s10853-016-0584-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2013.11.094", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025328674"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10426910500471649", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028966133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matdes.2013.10.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030105782"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2015.11.032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034197272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-6636(97)00036-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034651491"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matdes.2015.10.047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035062451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matdes.2008.09.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039149751"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12540-016-6279-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041224694", 
              "https://doi.org/10.1007/s12540-016-6279-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12540-016-6279-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041224694", 
              "https://doi.org/10.1007/s12540-016-6279-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-012-6478-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041311051", 
              "https://doi.org/10.1007/s10853-012-6478-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijimpeng.2005.04.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042141418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep37226", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044024744", 
              "https://doi.org/10.1038/srep37226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matdes.2010.09.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044191931"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1359-6454(97)00151-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045259717"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1359-6454(97)00151-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045259717"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03027516", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046360024", 
              "https://doi.org/10.1007/bf03027516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf03027516", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046360024", 
              "https://doi.org/10.1007/bf03027516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1003-6326(07)60056-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049042849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scriptamat.2008.12.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049815351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1003-6326(15)63835-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049864845"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11431-007-0083-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051807000", 
              "https://doi.org/10.1007/s11431-007-0083-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scriptamat.2004.06.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053736950"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-017-0979-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084027311", 
              "https://doi.org/10.1007/s10853-017-0979-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-017-0979-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084027311", 
              "https://doi.org/10.1007/s10853-017-0979-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2017.03.034", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084097129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/19475411.2017.1300201", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084169429"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11665-017-3061-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092666679", 
              "https://doi.org/10.1007/s11665-017-3061-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40870-018-0145-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100862330", 
              "https://doi.org/10.1007/s40870-018-0145-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.corsci.2018.04.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103437750"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2018.06.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104410426"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-02-07", 
        "datePublishedReg": "2019-02-07", 
        "description": "In this study, the high strain rate behavior of ultrafine grained (UFG) AA2219 alloy processed via multi axial forging at cryogenic temperature was investigated. Room temperature forged sample was used as a reference to determine the effects of significant grain size refinement on the dynamic response of the materials. The initial microstructure characterization indicated that severe plastic deformation in the cryogenically process alloy resulted in its grain size reduction to ~ 270 nm and the second phase breakage to finer particles. The results of the dynamic impact tests show that the strain hardening and thermal softening are substantially less significant in the UFG materials, whereas the maximum flow stress and the strain rate sensitivity increased. Furthermore, the grain size reduction led to the absorption of higher portion of the deformation energy and an increase in the toughness of the fabricated UFG material when compared to the conventionally forged samples. This improvement is approximately 56% at a strain rate of 4000 s\u22121 obtained via the grain structure refinement. Microstructure analysis of the post-deformed samples revealed two fully transformed adiabatic shear bands (ASBs) in the coarser grained material due to intense localized strain and thermal instability during the impact tests which caused the pushing off of the second phases and cracks formation inside the ASBs. However, low-intensity deformed ASBs and a notable enhancement in crack initiation strength were observed by morphology and final configuration of the post-deformed UFG samples. In addition, no considerable hardness variations were experienced in the impacted UFG material due to the saturation of grain size during the cryogenically forging process. In contrary to the UFG alloys, significant hardness increase was observed in the deformed coarse grained material which was associated with softening in the adjacent regions providing a zone prone to cracks initiation.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s12540-019-00254-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136083", 
            "issn": [
              "1225-9438", 
              "2005-4149"
            ], 
            "name": "Metals and Materials International", 
            "type": "Periodical"
          }
        ], 
        "name": "Dynamic Failure Investigation in Ultrafine Grained AA2219: Mechanical and Microstructural Analysis", 
        "pagination": "1-12", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "94ff93e44047cef41ac1ebee7a441082f392eaad0fbe701146ed7480eeb6a006"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12540-019-00254-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111982996"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12540-019-00254-x", 
          "https://app.dimensions.ai/details/publication/pub.1111982996"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:03", 
        "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/v90/0000000332_0000000332/records_121936_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs12540-019-00254-x"
      }
    ]
     

    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/s12540-019-00254-x'

    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/s12540-019-00254-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12540-019-00254-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12540-019-00254-x'


     

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

    209 TRIPLES      21 PREDICATES      62 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12540-019-00254-x schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author N135e570488df4c4aa509bdecd02597b9
    4 schema:citation sg:pub.10.1007/bf03027081
    5 sg:pub.10.1007/bf03027516
    6 sg:pub.10.1007/s10853-010-4595-0
    7 sg:pub.10.1007/s10853-012-6478-z
    8 sg:pub.10.1007/s10853-014-8712-3
    9 sg:pub.10.1007/s10853-016-0584-2
    10 sg:pub.10.1007/s10853-017-0979-8
    11 sg:pub.10.1007/s11431-007-0083-4
    12 sg:pub.10.1007/s11665-017-3061-4
    13 sg:pub.10.1007/s12540-016-6152-0
    14 sg:pub.10.1007/s12540-016-6279-z
    15 sg:pub.10.1007/s40870-018-0145-7
    16 sg:pub.10.1023/b:jmsc.0000021463.83899.b3
    17 sg:pub.10.1038/srep37226
    18 https://doi.org/10.1016/j.actamat.2004.09.017
    19 https://doi.org/10.1016/j.corsci.2018.04.023
    20 https://doi.org/10.1016/j.ijimpeng.2005.04.013
    21 https://doi.org/10.1016/j.matdes.2008.09.022
    22 https://doi.org/10.1016/j.matdes.2010.09.026
    23 https://doi.org/10.1016/j.matdes.2013.10.045
    24 https://doi.org/10.1016/j.matdes.2015.03.011
    25 https://doi.org/10.1016/j.matdes.2015.10.047
    26 https://doi.org/10.1016/j.matlet.2008.01.003
    27 https://doi.org/10.1016/j.msea.2013.11.094
    28 https://doi.org/10.1016/j.msea.2015.11.032
    29 https://doi.org/10.1016/j.msea.2016.09.047
    30 https://doi.org/10.1016/j.msea.2017.01.035
    31 https://doi.org/10.1016/j.msea.2017.03.034
    32 https://doi.org/10.1016/j.msea.2018.06.018
    33 https://doi.org/10.1016/j.scriptamat.2004.06.002
    34 https://doi.org/10.1016/j.scriptamat.2008.12.028
    35 https://doi.org/10.1016/s0167-6636(97)00036-7
    36 https://doi.org/10.1016/s1003-6326(07)60056-9
    37 https://doi.org/10.1016/s1003-6326(15)63835-3
    38 https://doi.org/10.1016/s1359-6454(97)00151-1
    39 https://doi.org/10.1080/10426910500471649
    40 https://doi.org/10.1080/19475411.2017.1300201
    41 https://doi.org/10.3390/met6030051
    42 schema:datePublished 2019-02-07
    43 schema:datePublishedReg 2019-02-07
    44 schema:description In this study, the high strain rate behavior of ultrafine grained (UFG) AA2219 alloy processed via multi axial forging at cryogenic temperature was investigated. Room temperature forged sample was used as a reference to determine the effects of significant grain size refinement on the dynamic response of the materials. The initial microstructure characterization indicated that severe plastic deformation in the cryogenically process alloy resulted in its grain size reduction to ~ 270 nm and the second phase breakage to finer particles. The results of the dynamic impact tests show that the strain hardening and thermal softening are substantially less significant in the UFG materials, whereas the maximum flow stress and the strain rate sensitivity increased. Furthermore, the grain size reduction led to the absorption of higher portion of the deformation energy and an increase in the toughness of the fabricated UFG material when compared to the conventionally forged samples. This improvement is approximately 56% at a strain rate of 4000 s−1 obtained via the grain structure refinement. Microstructure analysis of the post-deformed samples revealed two fully transformed adiabatic shear bands (ASBs) in the coarser grained material due to intense localized strain and thermal instability during the impact tests which caused the pushing off of the second phases and cracks formation inside the ASBs. However, low-intensity deformed ASBs and a notable enhancement in crack initiation strength were observed by morphology and final configuration of the post-deformed UFG samples. In addition, no considerable hardness variations were experienced in the impacted UFG material due to the saturation of grain size during the cryogenically forging process. In contrary to the UFG alloys, significant hardness increase was observed in the deformed coarse grained material which was associated with softening in the adjacent regions providing a zone prone to cracks initiation.
    45 schema:genre research_article
    46 schema:inLanguage en
    47 schema:isAccessibleForFree false
    48 schema:isPartOf sg:journal.1136083
    49 schema:name Dynamic Failure Investigation in Ultrafine Grained AA2219: Mechanical and Microstructural Analysis
    50 schema:pagination 1-12
    51 schema:productId N15cc8e697c024f9dad654ceaecf7d4c6
    52 N504f4be8783d4318969e3827c1b9370a
    53 N5d06e7025e734b4994bc556eae8b19a7
    54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111982996
    55 https://doi.org/10.1007/s12540-019-00254-x
    56 schema:sdDatePublished 2019-04-11T09:03
    57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    58 schema:sdPublisher N1889c23c120d49faa61cfa14754980c8
    59 schema:url https://link.springer.com/10.1007%2Fs12540-019-00254-x
    60 sgo:license sg:explorer/license/
    61 sgo:sdDataset articles
    62 rdf:type schema:ScholarlyArticle
    63 N135e570488df4c4aa509bdecd02597b9 rdf:first N29ad0d96e1f646fd891d0fa796902f10
    64 rdf:rest Nd2664b72f3e145ad87b2e7309ee47f10
    65 N15cc8e697c024f9dad654ceaecf7d4c6 schema:name readcube_id
    66 schema:value 94ff93e44047cef41ac1ebee7a441082f392eaad0fbe701146ed7480eeb6a006
    67 rdf:type schema:PropertyValue
    68 N1810a50901e242eab2ca67e279ddb1f9 schema:affiliation https://www.grid.ac/institutes/grid.264260.4
    69 schema:familyName Fallahdoost
    70 schema:givenName Hamid
    71 rdf:type schema:Person
    72 N1889c23c120d49faa61cfa14754980c8 schema:name Springer Nature - SN SciGraph project
    73 rdf:type schema:Organization
    74 N1a2cec832e69433d9e37bcc488d92ce1 schema:affiliation https://www.grid.ac/institutes/grid.257127.4
    75 schema:familyName Kumar
    76 schema:givenName Nikhil
    77 rdf:type schema:Person
    78 N29ad0d96e1f646fd891d0fa796902f10 schema:affiliation https://www.grid.ac/institutes/grid.257127.4
    79 schema:familyName Azimi
    80 schema:givenName Amin
    81 rdf:type schema:Person
    82 N504f4be8783d4318969e3827c1b9370a schema:name dimensions_id
    83 schema:value pub.1111982996
    84 rdf:type schema:PropertyValue
    85 N5d06e7025e734b4994bc556eae8b19a7 schema:name doi
    86 schema:value 10.1007/s12540-019-00254-x
    87 rdf:type schema:PropertyValue
    88 Nb86312efcbf44c39a36072961537cb23 rdf:first Nf7a862cbf54043908fc2569f943d3bdb
    89 rdf:rest rdf:nil
    90 Nc5d66cffa0bf474b998bac600fcba455 rdf:first N1a2cec832e69433d9e37bcc488d92ce1
    91 rdf:rest Nb86312efcbf44c39a36072961537cb23
    92 Nd2664b72f3e145ad87b2e7309ee47f10 rdf:first Nf835d459487b436dae51cdc892a8bc1a
    93 rdf:rest Nfdf71171f9e04378a383db7c21196ad8
    94 Nf7a862cbf54043908fc2569f943d3bdb schema:affiliation https://www.grid.ac/institutes/grid.257127.4
    95 schema:familyName Warner
    96 schema:givenName Grant
    97 rdf:type schema:Person
    98 Nf835d459487b436dae51cdc892a8bc1a schema:affiliation https://www.grid.ac/institutes/grid.257127.4
    99 schema:familyName Owolabi
    100 schema:givenName Gbadebo Moses
    101 rdf:type schema:Person
    102 Nfdf71171f9e04378a383db7c21196ad8 rdf:first N1810a50901e242eab2ca67e279ddb1f9
    103 rdf:rest Nc5d66cffa0bf474b998bac600fcba455
    104 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    105 schema:name Engineering
    106 rdf:type schema:DefinedTerm
    107 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    108 schema:name Materials Engineering
    109 rdf:type schema:DefinedTerm
    110 sg:journal.1136083 schema:issn 1225-9438
    111 2005-4149
    112 schema:name Metals and Materials International
    113 rdf:type schema:Periodical
    114 sg:pub.10.1007/bf03027081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010357970
    115 https://doi.org/10.1007/bf03027081
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/bf03027516 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046360024
    118 https://doi.org/10.1007/bf03027516
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/s10853-010-4595-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014104096
    121 https://doi.org/10.1007/s10853-010-4595-0
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/s10853-012-6478-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1041311051
    124 https://doi.org/10.1007/s10853-012-6478-z
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/s10853-014-8712-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012596652
    127 https://doi.org/10.1007/s10853-014-8712-3
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/s10853-016-0584-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025030004
    130 https://doi.org/10.1007/s10853-016-0584-2
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/s10853-017-0979-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084027311
    133 https://doi.org/10.1007/s10853-017-0979-8
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/s11431-007-0083-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051807000
    136 https://doi.org/10.1007/s11431-007-0083-4
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/s11665-017-3061-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092666679
    139 https://doi.org/10.1007/s11665-017-3061-4
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/s12540-016-6152-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010200898
    142 https://doi.org/10.1007/s12540-016-6152-0
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/s12540-016-6279-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1041224694
    145 https://doi.org/10.1007/s12540-016-6279-z
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s40870-018-0145-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100862330
    148 https://doi.org/10.1007/s40870-018-0145-7
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1023/b:jmsc.0000021463.83899.b3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016691660
    151 https://doi.org/10.1023/b:jmsc.0000021463.83899.b3
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1038/srep37226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044024744
    154 https://doi.org/10.1038/srep37226
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1016/j.actamat.2004.09.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023644476
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1016/j.corsci.2018.04.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103437750
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1016/j.ijimpeng.2005.04.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042141418
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1016/j.matdes.2008.09.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039149751
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1016/j.matdes.2010.09.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044191931
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1016/j.matdes.2013.10.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030105782
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1016/j.matdes.2015.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000872129
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1016/j.matdes.2015.10.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035062451
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1016/j.matlet.2008.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002753398
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1016/j.msea.2013.11.094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025328674
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1016/j.msea.2015.11.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034197272
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1016/j.msea.2016.09.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016804047
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1016/j.msea.2017.01.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020833570
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1016/j.msea.2017.03.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084097129
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1016/j.msea.2018.06.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104410426
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1016/j.scriptamat.2004.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053736950
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1016/j.scriptamat.2008.12.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049815351
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1016/s0167-6636(97)00036-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034651491
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1016/s1003-6326(07)60056-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049042849
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1016/s1003-6326(15)63835-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049864845
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1016/s1359-6454(97)00151-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045259717
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1080/10426910500471649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028966133
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1080/19475411.2017.1300201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084169429
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.3390/met6030051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008191504
    203 rdf:type schema:CreativeWork
    204 https://www.grid.ac/institutes/grid.257127.4 schema:alternateName Howard University
    205 schema:name Department of Mechanical Engineering, Howard University, 20059, Washington, DC, USA
    206 rdf:type schema:Organization
    207 https://www.grid.ac/institutes/grid.264260.4 schema:alternateName Binghamton University
    208 schema:name Department of Mechanical Engineering, Materials Science and Engineering Program, Binghamton University (SUNY), 13902, Binghamton, NY, USA
    209 rdf:type schema:Organization
     




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


    ...