Towards the understanding of creep-feed deep grinding of DD6 nickel-based single-crystal superalloy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Yulong Gu, Haonan Li, Baicun Du, Wenfeng Ding

ABSTRACT

DD6 nickel-based single-crystal superalloy has been treated as an ideal material for the high-valued and high-performed aero-engine components; however, it was found difficult to remove material from the DD6 nickel-based single-crystal superalloy in cutting and grinding. Although creep-feed deep grinding (CFDG) has been widely employed for various nickel-based superalloys (i.e., Inconel 718, DZ4, IN738LC), very few efforts however have been focused on the nickel-based single-crystal superalloy. With this, this paper focuses on CFDG of DD6 nickel-based single-crystal superalloy to gain the more in-depth understandings, targeting grinding force, specific grinding energy, grinding temperature, surface integrity, and wheel wear condition. Scheduled experimental observation proved that (i) microcrystalline alumina abrasive wheel generally shows more superior grinding performances in aspect to grinding force, force ratio, and specific grinding energy than that of brown alumina abrasive wheel; (ii) grinding temperature is decreased by 35% by using the microcrystalline alumina abrasive wheel compared to brown alumina abrasive wheel, and therefore the microcrystalline alumina abrasive wheels have the potential to be applied in the high-efficiency grinding; (iii) the surface ground by the microcrystalline alumina abrasive wheel is found smooth without any grinding-induced damage; and (iv) microcrystalline alumina abrasive wheels easily lead to micro-fractures and therefore result in better self-sharpness ability and longer service life in CFDG of DD6 nickel-based single-crystal superalloy. More... »

PAGES

445-455

References to SciGraph publications

  • 2015-05. Experimental research on the energy ratio coefficient and specific grinding energy in nanoparticle jet MQL grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2013-03. Research on surface integrity of grinding Inconel718 in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2007-07. Assessment of Al2O3 and superabrasive wheels in nickel-based alloy grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2014-10. State of the art in production, properties and applications of the microcrystalline sintered corundum abrasive grains in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2016-10. Performances of Al2O3/SiC hybrid nanofluids in minimum-quantity lubrication grinding in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00170-018-2686-2

    DOI

    http://dx.doi.org/10.1007/s00170-018-2686-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107229126


    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/2008/0306", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Chemistry (incl. Structural)", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Nanjing University of Aeronautics and Astronautics", 
              "id": "https://www.grid.ac/institutes/grid.64938.30", 
              "name": [
                "College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gu", 
            "givenName": "Yulong", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Nottingham Ningbo China", 
              "id": "https://www.grid.ac/institutes/grid.50971.3a", 
              "name": [
                "School of Aerospace, The University of Nottingham Ningbo China, 315100, Ningbo, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Haonan", 
            "id": "sg:person.016361153537.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016361153537.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Computer Engineering, Chongqing Aerospace Polytechnic, 400021, Chongqing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Du", 
            "givenName": "Baicun", 
            "id": "sg:person.015245614474.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015245614474.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Nanjing University of Aeronautics and Astronautics", 
              "id": "https://www.grid.ac/institutes/grid.64938.30", 
              "name": [
                "College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ding", 
            "givenName": "Wenfeng", 
            "id": "sg:person.016704376313.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016704376313.20"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s1000-9361(09)60247-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003547879"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmapro.2015.12.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003806915"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmachtools.2010.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003960305"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0924-0136(01)01024-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004542436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-016-8453-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006561988", 
              "https://doi.org/10.1007/s00170-016-8453-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cja.2014.12.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014089155"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cirpj.2010.08.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014383124"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-006-0519-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016690618", 
              "https://doi.org/10.1007/s00170-006-0519-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-006-0519-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016690618", 
              "https://doi.org/10.1007/s00170-006-0519-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-014-6722-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026640068", 
              "https://doi.org/10.1007/s00170-014-6722-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cirp.2009.03.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027696278"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmachtools.2015.10.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032676809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmachtools.2017.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032948948"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-014-6090-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035244854", 
              "https://doi.org/10.1007/s00170-014-6090-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-014-6090-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035244854", 
              "https://doi.org/10.1007/s00170-014-6090-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-012-4236-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036334586", 
              "https://doi.org/10.1007/s00170-012-4236-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0890-6955(00)00074-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037960011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0921-5093(97)00457-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041460211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.procir.2012.04.064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044760637"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0007-8506(07)62214-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045103138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0141-6359(01)00078-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047555509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmecsci.2016.11.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048163234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cirp.2015.05.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051639215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.2803535", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062083222"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.2803635", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062083237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.2900694", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062092114"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4028/www.scientific.net/kem.523-524.143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072086516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4028/www.scientific.net/msf.546-549.1249", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072125706"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jclepro.2017.03.213", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084086095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matpr.2017.02.266", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085082452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmachtools.2017.06.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086030563"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmachtools.2017.06.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086031747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7449/2000/superalloys_2000_777_783", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099495320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmapro.2018.03.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101778959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmapro.2018.03.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101778959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmachtools.2018.04.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103664595"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-01", 
        "datePublishedReg": "2019-01-01", 
        "description": "DD6 nickel-based single-crystal superalloy has been treated as an ideal material for the high-valued and high-performed aero-engine components; however, it was found difficult to remove material from the DD6 nickel-based single-crystal superalloy in cutting and grinding. Although creep-feed deep grinding (CFDG) has been widely employed for various nickel-based superalloys (i.e., Inconel 718, DZ4, IN738LC), very few efforts however have been focused on the nickel-based single-crystal superalloy. With this, this paper focuses on CFDG of DD6 nickel-based single-crystal superalloy to gain the more in-depth understandings, targeting grinding force, specific grinding energy, grinding temperature, surface integrity, and wheel wear condition. Scheduled experimental observation proved that (i) microcrystalline alumina abrasive wheel generally shows more superior grinding performances in aspect to grinding force, force ratio, and specific grinding energy than that of brown alumina abrasive wheel; (ii) grinding temperature is decreased by 35% by using the microcrystalline alumina abrasive wheel compared to brown alumina abrasive wheel, and therefore the microcrystalline alumina abrasive wheels have the potential to be applied in the high-efficiency grinding; (iii) the surface ground by the microcrystalline alumina abrasive wheel is found smooth without any grinding-induced damage; and (iv) microcrystalline alumina abrasive wheels easily lead to micro-fractures and therefore result in better self-sharpness ability and longer service life in CFDG of DD6 nickel-based single-crystal superalloy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00170-018-2686-2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1043671", 
            "issn": [
              "0268-3768", 
              "1433-3015"
            ], 
            "name": "The International Journal of Advanced Manufacturing Technology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1-4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "100"
          }
        ], 
        "name": "Towards the understanding of creep-feed deep grinding of DD6 nickel-based single-crystal superalloy", 
        "pagination": "445-455", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "ad572d2deead3b5f7b552e425cf01fdc4e6527f29ffc9e11452c8016135b78c8"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00170-018-2686-2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107229126"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00170-018-2686-2", 
          "https://app.dimensions.ai/details/publication/pub.1107229126"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:10", 
        "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/v90/0000000353_0000000353/records_45348_00000002.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00170-018-2686-2"
      }
    ]
     

    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/s00170-018-2686-2'

    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/s00170-018-2686-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00170-018-2686-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00170-018-2686-2'


     

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

    190 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00170-018-2686-2 schema:about anzsrc-for:03
    2 anzsrc-for:0306
    3 schema:author N900f8d400ce5423a84672b5d45fd4b5e
    4 schema:citation sg:pub.10.1007/s00170-006-0519-1
    5 sg:pub.10.1007/s00170-012-4236-7
    6 sg:pub.10.1007/s00170-014-6090-2
    7 sg:pub.10.1007/s00170-014-6722-6
    8 sg:pub.10.1007/s00170-016-8453-3
    9 https://doi.org/10.1016/j.cirp.2009.03.026
    10 https://doi.org/10.1016/j.cirp.2015.05.002
    11 https://doi.org/10.1016/j.cirpj.2010.08.001
    12 https://doi.org/10.1016/j.cja.2014.12.035
    13 https://doi.org/10.1016/j.ijmachtools.2010.11.003
    14 https://doi.org/10.1016/j.ijmachtools.2015.10.001
    15 https://doi.org/10.1016/j.ijmachtools.2017.01.004
    16 https://doi.org/10.1016/j.ijmachtools.2017.06.002
    17 https://doi.org/10.1016/j.ijmachtools.2017.06.003
    18 https://doi.org/10.1016/j.ijmachtools.2018.04.006
    19 https://doi.org/10.1016/j.ijmecsci.2016.11.016
    20 https://doi.org/10.1016/j.jclepro.2017.03.213
    21 https://doi.org/10.1016/j.jmapro.2015.12.004
    22 https://doi.org/10.1016/j.jmapro.2018.03.023
    23 https://doi.org/10.1016/j.matpr.2017.02.266
    24 https://doi.org/10.1016/j.procir.2012.04.064
    25 https://doi.org/10.1016/s0007-8506(07)62214-8
    26 https://doi.org/10.1016/s0141-6359(01)00078-2
    27 https://doi.org/10.1016/s0890-6955(00)00074-2
    28 https://doi.org/10.1016/s0921-5093(97)00457-7
    29 https://doi.org/10.1016/s0924-0136(01)01024-x
    30 https://doi.org/10.1016/s1000-9361(09)60247-8
    31 https://doi.org/10.1115/1.2803535
    32 https://doi.org/10.1115/1.2803635
    33 https://doi.org/10.1115/1.2900694
    34 https://doi.org/10.4028/www.scientific.net/kem.523-524.143
    35 https://doi.org/10.4028/www.scientific.net/msf.546-549.1249
    36 https://doi.org/10.7449/2000/superalloys_2000_777_783
    37 schema:datePublished 2019-01
    38 schema:datePublishedReg 2019-01-01
    39 schema:description DD6 nickel-based single-crystal superalloy has been treated as an ideal material for the high-valued and high-performed aero-engine components; however, it was found difficult to remove material from the DD6 nickel-based single-crystal superalloy in cutting and grinding. Although creep-feed deep grinding (CFDG) has been widely employed for various nickel-based superalloys (i.e., Inconel 718, DZ4, IN738LC), very few efforts however have been focused on the nickel-based single-crystal superalloy. With this, this paper focuses on CFDG of DD6 nickel-based single-crystal superalloy to gain the more in-depth understandings, targeting grinding force, specific grinding energy, grinding temperature, surface integrity, and wheel wear condition. Scheduled experimental observation proved that (i) microcrystalline alumina abrasive wheel generally shows more superior grinding performances in aspect to grinding force, force ratio, and specific grinding energy than that of brown alumina abrasive wheel; (ii) grinding temperature is decreased by 35% by using the microcrystalline alumina abrasive wheel compared to brown alumina abrasive wheel, and therefore the microcrystalline alumina abrasive wheels have the potential to be applied in the high-efficiency grinding; (iii) the surface ground by the microcrystalline alumina abrasive wheel is found smooth without any grinding-induced damage; and (iv) microcrystalline alumina abrasive wheels easily lead to micro-fractures and therefore result in better self-sharpness ability and longer service life in CFDG of DD6 nickel-based single-crystal superalloy.
    40 schema:genre research_article
    41 schema:inLanguage en
    42 schema:isAccessibleForFree false
    43 schema:isPartOf N76949dfb2f4045d38e0e579d366f77c0
    44 Nab49da4da32345c4a8d30125bd775dfa
    45 sg:journal.1043671
    46 schema:name Towards the understanding of creep-feed deep grinding of DD6 nickel-based single-crystal superalloy
    47 schema:pagination 445-455
    48 schema:productId N50ace5809d524dbda6360df88f0dfb07
    49 N5a0c15815263479d95fc8745068ed757
    50 N83b27a581a0a4ed4823d77e93af8d347
    51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107229126
    52 https://doi.org/10.1007/s00170-018-2686-2
    53 schema:sdDatePublished 2019-04-11T11:10
    54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    55 schema:sdPublisher Nf077f79950534e20ae04171808622871
    56 schema:url https://link.springer.com/10.1007%2Fs00170-018-2686-2
    57 sgo:license sg:explorer/license/
    58 sgo:sdDataset articles
    59 rdf:type schema:ScholarlyArticle
    60 N2bd2685257c442338727d9edf92db6b3 rdf:first sg:person.015245614474.91
    61 rdf:rest Nbe9e4111862d4d4f84c9f72bcb3c12c0
    62 N3654394e89434334b89ef8eaaf3d1982 schema:name Department of Computer Engineering, Chongqing Aerospace Polytechnic, 400021, Chongqing, China
    63 rdf:type schema:Organization
    64 N3da07b5eefe5477eb6450bc691b2fc92 rdf:first sg:person.016361153537.81
    65 rdf:rest N2bd2685257c442338727d9edf92db6b3
    66 N483b01b03130434eade240b1b0e2406a schema:affiliation https://www.grid.ac/institutes/grid.64938.30
    67 schema:familyName Gu
    68 schema:givenName Yulong
    69 rdf:type schema:Person
    70 N50ace5809d524dbda6360df88f0dfb07 schema:name doi
    71 schema:value 10.1007/s00170-018-2686-2
    72 rdf:type schema:PropertyValue
    73 N5a0c15815263479d95fc8745068ed757 schema:name dimensions_id
    74 schema:value pub.1107229126
    75 rdf:type schema:PropertyValue
    76 N76949dfb2f4045d38e0e579d366f77c0 schema:issueNumber 1-4
    77 rdf:type schema:PublicationIssue
    78 N83b27a581a0a4ed4823d77e93af8d347 schema:name readcube_id
    79 schema:value ad572d2deead3b5f7b552e425cf01fdc4e6527f29ffc9e11452c8016135b78c8
    80 rdf:type schema:PropertyValue
    81 N900f8d400ce5423a84672b5d45fd4b5e rdf:first N483b01b03130434eade240b1b0e2406a
    82 rdf:rest N3da07b5eefe5477eb6450bc691b2fc92
    83 Nab49da4da32345c4a8d30125bd775dfa schema:volumeNumber 100
    84 rdf:type schema:PublicationVolume
    85 Nbe9e4111862d4d4f84c9f72bcb3c12c0 rdf:first sg:person.016704376313.20
    86 rdf:rest rdf:nil
    87 Nf077f79950534e20ae04171808622871 schema:name Springer Nature - SN SciGraph project
    88 rdf:type schema:Organization
    89 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    90 schema:name Chemical Sciences
    91 rdf:type schema:DefinedTerm
    92 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Physical Chemistry (incl. Structural)
    94 rdf:type schema:DefinedTerm
    95 sg:journal.1043671 schema:issn 0268-3768
    96 1433-3015
    97 schema:name The International Journal of Advanced Manufacturing Technology
    98 rdf:type schema:Periodical
    99 sg:person.015245614474.91 schema:affiliation N3654394e89434334b89ef8eaaf3d1982
    100 schema:familyName Du
    101 schema:givenName Baicun
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015245614474.91
    103 rdf:type schema:Person
    104 sg:person.016361153537.81 schema:affiliation https://www.grid.ac/institutes/grid.50971.3a
    105 schema:familyName Li
    106 schema:givenName Haonan
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016361153537.81
    108 rdf:type schema:Person
    109 sg:person.016704376313.20 schema:affiliation https://www.grid.ac/institutes/grid.64938.30
    110 schema:familyName Ding
    111 schema:givenName Wenfeng
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016704376313.20
    113 rdf:type schema:Person
    114 sg:pub.10.1007/s00170-006-0519-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016690618
    115 https://doi.org/10.1007/s00170-006-0519-1
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/s00170-012-4236-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036334586
    118 https://doi.org/10.1007/s00170-012-4236-7
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/s00170-014-6090-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035244854
    121 https://doi.org/10.1007/s00170-014-6090-2
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/s00170-014-6722-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026640068
    124 https://doi.org/10.1007/s00170-014-6722-6
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/s00170-016-8453-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006561988
    127 https://doi.org/10.1007/s00170-016-8453-3
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/j.cirp.2009.03.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027696278
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/j.cirp.2015.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051639215
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/j.cirpj.2010.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014383124
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/j.cja.2014.12.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014089155
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/j.ijmachtools.2010.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003960305
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/j.ijmachtools.2015.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032676809
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/j.ijmachtools.2017.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032948948
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1016/j.ijmachtools.2017.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086030563
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1016/j.ijmachtools.2017.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086031747
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1016/j.ijmachtools.2018.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103664595
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/j.ijmecsci.2016.11.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048163234
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1016/j.jclepro.2017.03.213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084086095
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.jmapro.2015.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003806915
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.jmapro.2018.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101778959
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.matpr.2017.02.266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085082452
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.procir.2012.04.064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044760637
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/s0007-8506(07)62214-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045103138
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/s0141-6359(01)00078-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047555509
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/s0890-6955(00)00074-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037960011
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/s0921-5093(97)00457-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041460211
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1016/s0924-0136(01)01024-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004542436
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1016/s1000-9361(09)60247-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003547879
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1115/1.2803535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062083222
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1115/1.2803635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062083237
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1115/1.2900694 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062092114
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.4028/www.scientific.net/kem.523-524.143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072086516
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.4028/www.scientific.net/msf.546-549.1249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072125706
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.7449/2000/superalloys_2000_777_783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099495320
    184 rdf:type schema:CreativeWork
    185 https://www.grid.ac/institutes/grid.50971.3a schema:alternateName University of Nottingham Ningbo China
    186 schema:name School of Aerospace, The University of Nottingham Ningbo China, 315100, Ningbo, China
    187 rdf:type schema:Organization
    188 https://www.grid.ac/institutes/grid.64938.30 schema:alternateName Nanjing University of Aeronautics and Astronautics
    189 schema:name College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China
    190 rdf:type schema:Organization
     




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


    ...