Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-04

AUTHORS

Jacob Smith, Wei Xiong, Wentao Yan, Stephen Lin, Puikei Cheng, Orion L. Kafka, Gregory J. Wagner, Jian Cao, Wing Kam Liu

ABSTRACT

Additive manufacturing (AM) methods for rapid prototyping of 3D materials (3D printing) have become increasingly popular with a particular recent emphasis on those methods used for metallic materials. These processes typically involve an accumulation of cyclic phase changes. The widespread interest in these methods is largely stimulated by their unique ability to create components of considerable complexity. However, modeling such processes is exceedingly difficult due to the highly localized and drastic material evolution that often occurs over the course of the manufacture time of each component. Final product characterization and validation are currently driven primarily by experimental means as a result of the lack of robust modeling procedures. In the present work, the authors discuss primary detrimental hurdles that have plagued effective modeling of AM methods for metallic materials while also providing logical speculation into preferable research directions for overcoming these hurdles. The primary focus of this work encompasses the specific areas of high-performance computing, multiscale modeling, materials characterization, process modeling, experimentation, and validation for final product performance of additively manufactured metallic components. More... »

PAGES

583-610

References to SciGraph publications

  • 2015-09. Fatigue Strength Prediction for Titanium Alloy TiAl6V4 Manufactured by Selective Laser Melting in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1984-06. A new finite element model for welding heat sources in METALLURGICAL TRANSACTIONS B
  • 2003-03. The morphological evolution of dendritic microstructures during coarsening in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2015-06. Differences in microstructure and properties between selective laser melting and traditional manufacturing for fabrication of metal parts: A review in FRONTIERS OF MECHANICAL ENGINEERING
  • 2014-07. Additive particle deposition and selective laser processing-a computational manufacturing framework in COMPUTATIONAL MECHANICS
  • 2006-02. Adaptive Local–Global Upscaling for General Flow Scenarios in Heterogeneous Formations in TRANSPORT IN POROUS MEDIA
  • 2014-09. Density of additively-manufactured, 316L SS parts using laser powder-bed fusion at powers up to 400 W in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2008-09. Thermal Behavior and Microstructure Evolution during Laser Deposition with Laser-Engineered Net Shaping: Part II. Experimental Investigation and Discussion in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2004-06. Topological complexity and the dynamics of coarsening in NATURE MATERIALS
  • 2015-08. Multiscale modeling of electron beam and substrate interaction: a new heat source model in COMPUTATIONAL MECHANICS
  • 2014-08. Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map in JOURNAL OF INTELLIGENT MANUFACTURING
  • 1981-08. Influence of voids on shear band instabilities under plane strain conditions in INTERNATIONAL JOURNAL OF FRACTURE
  • 2011-10. As-Fabricated and Heat-Treated Microstructures of the Ti-6Al-4V Alloy Processed by Selective Laser Melting in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2006-03. CVD-diamond-based thermocouple for high sensitive temperature measurements in MICROSYSTEM TECHNOLOGIES
  • 2014-12. An Experimental Investigation into Additive Manufacturing-Induced Residual Stresses in 316L Stainless Steel in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2016-03. Thermodynamically consistent microstructure prediction of additively manufactured materials in COMPUTATIONAL MECHANICS
  • 2000-05. DICTRA, a tool for simulation of diffusional transformations in alloys in JOURNAL OF PHASE EQUILIBRIA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00466-015-1240-4

    DOI

    http://dx.doi.org/10.1007/s00466-015-1240-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1044045055


    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": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Smith", 
            "givenName": "Jacob", 
            "id": "sg:person.013731300464.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013731300464.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Material Science and Engineering, Northwestern University, 2220 Campus Drive, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xiong", 
            "givenName": "Wei", 
            "id": "sg:person.015564437531.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015564437531.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Tsinghua University", 
              "id": "https://www.grid.ac/institutes/grid.12527.33", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA", 
                "Department of Mechanical Engineering, Tsinghua University, 100084, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yan", 
            "givenName": "Wentao", 
            "id": "sg:person.010502544356.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010502544356.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lin", 
            "givenName": "Stephen", 
            "id": "sg:person.016121622064.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016121622064.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cheng", 
            "givenName": "Puikei", 
            "id": "sg:person.013671623314.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013671623314.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kafka", 
            "givenName": "Orion L.", 
            "id": "sg:person.014421642463.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014421642463.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wagner", 
            "givenName": "Gregory J.", 
            "id": "sg:person.010426061616.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010426061616.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cao", 
            "givenName": "Jian", 
            "id": "sg:person.01055054014.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055054014.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern University", 
              "id": "https://www.grid.ac/institutes/grid.16753.36", 
              "name": [
                "Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Wing Kam", 
            "id": "sg:person.016102260673.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016102260673.22"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.actamat.2013.04.036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000284566"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmat1138", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000779979", 
              "https://doi.org/10.1038/nmat1138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmat1138", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000779979", 
              "https://doi.org/10.1038/nmat1138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2014.06.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001079913"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.calphad.2012.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001544954"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.phpro.2014.08.120", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001897290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1179/1743284714y.0000000728", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003005528"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0079-6425(03)00025-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003746629"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jallcom.2013.08.183", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003822425"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11465-015-0341-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004668434", 
              "https://doi.org/10.1007/s11465-015-0341-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2005.01.044", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004781016"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.actamat.2010.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005958819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cossms.2014.05.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006577596"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-003-0084-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007567868", 
              "https://doi.org/10.1007/s11661-003-0084-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-003-0084-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007567868", 
              "https://doi.org/10.1007/s11661-003-0084-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0022-3727/34/3/320", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007918612"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11242-005-0619-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009553929", 
              "https://doi.org/10.1007/s11242-005-0619-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11242-005-0619-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009553929", 
              "https://doi.org/10.1007/s11242-005-0619-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.addma.2015.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011240991"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2014.06.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011723383"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00542-005-0066-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014054254", 
              "https://doi.org/10.1007/s00542-005-0066-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00542-005-0066-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014054254", 
              "https://doi.org/10.1007/s00542-005-0066-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.actamat.2014.09.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015208121"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00466-014-1012-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015310467", 
              "https://doi.org/10.1007/s00466-014-1012-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2003.11.051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015385225"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02667333", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015516438", 
              "https://doi.org/10.1007/bf02667333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scriptamat.2013.08.032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015615742"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2014.05.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015630083"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0021-9991(03)00273-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015757675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0021-9991(03)00273-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015757675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scriptamat.2012.12.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017442476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cirpj.2015.05.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018157535"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.calphad.2015.01.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019957580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmbbm.2013.08.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021195496"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.actamat.2012.10.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021469241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/adem.201100344", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022082116"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00466-015-1170-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023349781", 
              "https://doi.org/10.1007/s00466-015-1170-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-015-2864-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023438180", 
              "https://doi.org/10.1007/s11661-015-2864-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijthermalsci.2006.04.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024835658"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-008-9566-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024933921", 
              "https://doi.org/10.1007/s11661-008-9566-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00036191", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025309575", 
              "https://doi.org/10.1007/bf00036191"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00036191", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025309575", 
              "https://doi.org/10.1007/bf00036191"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.matdes.2014.11.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025878519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apsusc.2007.08.074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026199348"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2320/matertrans.43.551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026530007"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2320/matertrans.43.551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026530007"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.procir.2013.09.030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027477798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.engfracmech.2014.03.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028041655"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0364-5916(91)90030-n", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029949309"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0364-5916(91)90030-n", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029949309"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10845-012-0718-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030154204", 
              "https://doi.org/10.1007/s10845-012-0718-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijplas.2015.08.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031111567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijplas.2015.08.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031111567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijplas.2015.08.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031111567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijplas.2015.08.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031111567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0309-1708(03)00101-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032437291"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0309-1708(03)00101-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032437291"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.actamat.2009.08.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032518265"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmapro.2013.06.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033691631"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.csite.2014.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035838208"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmps.2010.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035893218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2013.04.099", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036197183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.camwa.2013.10.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037550382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tca.2014.09.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039593792"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2014.01.041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040561080"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2015.01.031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041111459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-014-5954-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041246174", 
              "https://doi.org/10.1007/s00170-014-5954-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-014-2549-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041851205", 
              "https://doi.org/10.1007/s11661-014-2549-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.vacuum.2009.11.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042979188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0022-3727/47/27/275303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044010026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0001-6160(84)90213-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046343488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0001-6160(84)90213-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046343488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msea.2014.04.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046688120"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijheatmasstransfer.2014.02.037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047353751"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11661-011-0731-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047928414", 
              "https://doi.org/10.1007/s11661-011-0731-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2015.01.025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048481935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1361/105497100770340057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049031403", 
              "https://doi.org/10.1361/105497100770340057"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.optlaseng.2010.01.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049397708"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.msec.2015.05.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049468408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1557/jmr.2014.157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050418490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00466-015-1243-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050856347", 
              "https://doi.org/10.1007/s00466-015-1243-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.proeng.2014.10.096", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051831438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmatprotec.2010.12.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052920252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1557/mrs.2015.273", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053720972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.4764532", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058062707"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.3224807", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062107440"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.3443401", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062124582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.277.5330.1237", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062557816"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/060654232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062849169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/110836201", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062864992"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4028/www.scientific.net/amm.575.493", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071970346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ict.1996.553500", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094850528"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-04", 
        "datePublishedReg": "2016-04-01", 
        "description": "Additive manufacturing (AM) methods for rapid prototyping of 3D materials (3D printing) have become increasingly popular with a particular recent emphasis on those methods used for metallic materials. These processes typically involve an accumulation of cyclic phase changes. The widespread interest in these methods is largely stimulated by their unique ability to create components of considerable complexity. However, modeling such processes is exceedingly difficult due to the highly localized and drastic material evolution that often occurs over the course of the manufacture time of each component. Final product characterization and validation are currently driven primarily by experimental means as a result of the lack of robust modeling procedures. In the present work, the authors discuss primary detrimental hurdles that have plagued effective modeling of AM methods for metallic materials while also providing logical speculation into preferable research directions for overcoming these hurdles. The primary focus of this work encompasses the specific areas of high-performance computing, multiscale modeling, materials characterization, process modeling, experimentation, and validation for final product performance of additively manufactured metallic components.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00466-015-1240-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3005420", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1127263", 
            "issn": [
              "0178-7675", 
              "1432-0924"
            ], 
            "name": "Computational Mechanics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "57"
          }
        ], 
        "name": "Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support", 
        "pagination": "583-610", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d1cd2e4752dc03e616fc6caada34757dbd8979accf0c8856a44e8f31f9ba66e5"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00466-015-1240-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1044045055"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00466-015-1240-4", 
          "https://app.dimensions.ai/details/publication/pub.1044045055"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T16:34", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8669_00000482.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00466-015-1240-4"
      }
    ]
     

    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/s00466-015-1240-4'

    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/s00466-015-1240-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00466-015-1240-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00466-015-1240-4'


     

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

    378 TRIPLES      21 PREDICATES      106 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00466-015-1240-4 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author N622c676655e1444baec2793db7f70bd0
    4 schema:citation sg:pub.10.1007/bf00036191
    5 sg:pub.10.1007/bf02667333
    6 sg:pub.10.1007/s00170-014-5954-9
    7 sg:pub.10.1007/s00466-014-1012-6
    8 sg:pub.10.1007/s00466-015-1170-1
    9 sg:pub.10.1007/s00466-015-1243-1
    10 sg:pub.10.1007/s00542-005-0066-y
    11 sg:pub.10.1007/s10845-012-0718-6
    12 sg:pub.10.1007/s11242-005-0619-7
    13 sg:pub.10.1007/s11465-015-0341-2
    14 sg:pub.10.1007/s11661-003-0084-2
    15 sg:pub.10.1007/s11661-008-9566-6
    16 sg:pub.10.1007/s11661-011-0731-y
    17 sg:pub.10.1007/s11661-014-2549-x
    18 sg:pub.10.1007/s11661-015-2864-x
    19 sg:pub.10.1038/nmat1138
    20 sg:pub.10.1361/105497100770340057
    21 https://doi.org/10.1002/adem.201100344
    22 https://doi.org/10.1016/0001-6160(84)90213-x
    23 https://doi.org/10.1016/0364-5916(91)90030-n
    24 https://doi.org/10.1016/j.actamat.2009.08.027
    25 https://doi.org/10.1016/j.actamat.2010.03.014
    26 https://doi.org/10.1016/j.actamat.2012.10.045
    27 https://doi.org/10.1016/j.actamat.2013.04.036
    28 https://doi.org/10.1016/j.actamat.2014.09.016
    29 https://doi.org/10.1016/j.addma.2015.07.002
    30 https://doi.org/10.1016/j.apsusc.2007.08.074
    31 https://doi.org/10.1016/j.calphad.2012.07.002
    32 https://doi.org/10.1016/j.calphad.2015.01.002
    33 https://doi.org/10.1016/j.camwa.2013.10.001
    34 https://doi.org/10.1016/j.cirpj.2015.05.003
    35 https://doi.org/10.1016/j.cossms.2014.05.001
    36 https://doi.org/10.1016/j.csite.2014.02.002
    37 https://doi.org/10.1016/j.engfracmech.2014.03.008
    38 https://doi.org/10.1016/j.ijheatmasstransfer.2005.01.044
    39 https://doi.org/10.1016/j.ijheatmasstransfer.2014.02.037
    40 https://doi.org/10.1016/j.ijplas.2015.08.009
    41 https://doi.org/10.1016/j.ijthermalsci.2006.04.015
    42 https://doi.org/10.1016/j.jallcom.2013.08.183
    43 https://doi.org/10.1016/j.jmapro.2013.06.012
    44 https://doi.org/10.1016/j.jmatprotec.2003.11.051
    45 https://doi.org/10.1016/j.jmatprotec.2010.12.016
    46 https://doi.org/10.1016/j.jmatprotec.2014.05.002
    47 https://doi.org/10.1016/j.jmatprotec.2014.06.001
    48 https://doi.org/10.1016/j.jmatprotec.2014.06.005
    49 https://doi.org/10.1016/j.jmatprotec.2015.01.025
    50 https://doi.org/10.1016/j.jmbbm.2013.08.011
    51 https://doi.org/10.1016/j.jmps.2010.07.002
    52 https://doi.org/10.1016/j.matdes.2014.11.001
    53 https://doi.org/10.1016/j.msea.2013.04.099
    54 https://doi.org/10.1016/j.msea.2014.01.041
    55 https://doi.org/10.1016/j.msea.2014.04.019
    56 https://doi.org/10.1016/j.msea.2015.01.031
    57 https://doi.org/10.1016/j.msec.2015.05.001
    58 https://doi.org/10.1016/j.optlaseng.2010.01.002
    59 https://doi.org/10.1016/j.phpro.2014.08.120
    60 https://doi.org/10.1016/j.procir.2013.09.030
    61 https://doi.org/10.1016/j.proeng.2014.10.096
    62 https://doi.org/10.1016/j.scriptamat.2012.12.003
    63 https://doi.org/10.1016/j.scriptamat.2013.08.032
    64 https://doi.org/10.1016/j.tca.2014.09.026
    65 https://doi.org/10.1016/j.vacuum.2009.11.015
    66 https://doi.org/10.1016/s0021-9991(03)00273-0
    67 https://doi.org/10.1016/s0079-6425(03)00025-2
    68 https://doi.org/10.1016/s0309-1708(03)00101-5
    69 https://doi.org/10.1063/1.4764532
    70 https://doi.org/10.1088/0022-3727/34/3/320
    71 https://doi.org/10.1088/0022-3727/47/27/275303
    72 https://doi.org/10.1109/ict.1996.553500
    73 https://doi.org/10.1115/1.3224807
    74 https://doi.org/10.1115/1.3443401
    75 https://doi.org/10.1126/science.277.5330.1237
    76 https://doi.org/10.1137/060654232
    77 https://doi.org/10.1137/110836201
    78 https://doi.org/10.1179/1743284714y.0000000728
    79 https://doi.org/10.1557/jmr.2014.157
    80 https://doi.org/10.1557/mrs.2015.273
    81 https://doi.org/10.2320/matertrans.43.551
    82 https://doi.org/10.4028/www.scientific.net/amm.575.493
    83 schema:datePublished 2016-04
    84 schema:datePublishedReg 2016-04-01
    85 schema:description Additive manufacturing (AM) methods for rapid prototyping of 3D materials (3D printing) have become increasingly popular with a particular recent emphasis on those methods used for metallic materials. These processes typically involve an accumulation of cyclic phase changes. The widespread interest in these methods is largely stimulated by their unique ability to create components of considerable complexity. However, modeling such processes is exceedingly difficult due to the highly localized and drastic material evolution that often occurs over the course of the manufacture time of each component. Final product characterization and validation are currently driven primarily by experimental means as a result of the lack of robust modeling procedures. In the present work, the authors discuss primary detrimental hurdles that have plagued effective modeling of AM methods for metallic materials while also providing logical speculation into preferable research directions for overcoming these hurdles. The primary focus of this work encompasses the specific areas of high-performance computing, multiscale modeling, materials characterization, process modeling, experimentation, and validation for final product performance of additively manufactured metallic components.
    86 schema:genre research_article
    87 schema:inLanguage en
    88 schema:isAccessibleForFree false
    89 schema:isPartOf N072cef327b194075a731476ebc93907b
    90 Nbde976b10be94d429a20e7a5d1e577b0
    91 sg:journal.1127263
    92 schema:name Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support
    93 schema:pagination 583-610
    94 schema:productId N6e4081ca44ed4244bb929fe48356825f
    95 Nea41ef27a2704f8180fc0d48d5174031
    96 Neee1f6c2dde5451dad31e53f2054917d
    97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044045055
    98 https://doi.org/10.1007/s00466-015-1240-4
    99 schema:sdDatePublished 2019-04-10T16:34
    100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    101 schema:sdPublisher N848bf388475d415e85740694a036b213
    102 schema:url http://link.springer.com/10.1007/s00466-015-1240-4
    103 sgo:license sg:explorer/license/
    104 sgo:sdDataset articles
    105 rdf:type schema:ScholarlyArticle
    106 N072cef327b194075a731476ebc93907b schema:volumeNumber 57
    107 rdf:type schema:PublicationVolume
    108 N622c676655e1444baec2793db7f70bd0 rdf:first sg:person.013731300464.30
    109 rdf:rest N8c3ca5d61dbc435e8f50475c9690606e
    110 N6e4081ca44ed4244bb929fe48356825f schema:name doi
    111 schema:value 10.1007/s00466-015-1240-4
    112 rdf:type schema:PropertyValue
    113 N7db2aaaabeb6472da2f26429b623b580 rdf:first sg:person.010502544356.07
    114 rdf:rest Ncfad532647a746d5a933dacc174f23ab
    115 N848bf388475d415e85740694a036b213 schema:name Springer Nature - SN SciGraph project
    116 rdf:type schema:Organization
    117 N8c3ca5d61dbc435e8f50475c9690606e rdf:first sg:person.015564437531.19
    118 rdf:rest N7db2aaaabeb6472da2f26429b623b580
    119 N900834bedd8b4cb7aade69f6c5740bda rdf:first sg:person.013671623314.68
    120 rdf:rest Ndb2c6cc20982405aaabdd3b000ece56e
    121 Naceb2f0d58584088a5df4df97f7087a5 rdf:first sg:person.01055054014.32
    122 rdf:rest Nb5366b92a6d1457ebb874eaa2715afd3
    123 Nb5366b92a6d1457ebb874eaa2715afd3 rdf:first sg:person.016102260673.22
    124 rdf:rest rdf:nil
    125 Nbde976b10be94d429a20e7a5d1e577b0 schema:issueNumber 4
    126 rdf:type schema:PublicationIssue
    127 Ncfad532647a746d5a933dacc174f23ab rdf:first sg:person.016121622064.35
    128 rdf:rest N900834bedd8b4cb7aade69f6c5740bda
    129 Ndb2c6cc20982405aaabdd3b000ece56e rdf:first sg:person.014421642463.68
    130 rdf:rest Nfa48faeadd234a57acff1897cc26bab6
    131 Nea41ef27a2704f8180fc0d48d5174031 schema:name dimensions_id
    132 schema:value pub.1044045055
    133 rdf:type schema:PropertyValue
    134 Neee1f6c2dde5451dad31e53f2054917d schema:name readcube_id
    135 schema:value d1cd2e4752dc03e616fc6caada34757dbd8979accf0c8856a44e8f31f9ba66e5
    136 rdf:type schema:PropertyValue
    137 Nfa48faeadd234a57acff1897cc26bab6 rdf:first sg:person.010426061616.84
    138 rdf:rest Naceb2f0d58584088a5df4df97f7087a5
    139 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    140 schema:name Engineering
    141 rdf:type schema:DefinedTerm
    142 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    143 schema:name Materials Engineering
    144 rdf:type schema:DefinedTerm
    145 sg:grant.3005420 http://pending.schema.org/fundedItem sg:pub.10.1007/s00466-015-1240-4
    146 rdf:type schema:MonetaryGrant
    147 sg:journal.1127263 schema:issn 0178-7675
    148 1432-0924
    149 schema:name Computational Mechanics
    150 rdf:type schema:Periodical
    151 sg:person.010426061616.84 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    152 schema:familyName Wagner
    153 schema:givenName Gregory J.
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010426061616.84
    155 rdf:type schema:Person
    156 sg:person.010502544356.07 schema:affiliation https://www.grid.ac/institutes/grid.12527.33
    157 schema:familyName Yan
    158 schema:givenName Wentao
    159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010502544356.07
    160 rdf:type schema:Person
    161 sg:person.01055054014.32 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    162 schema:familyName Cao
    163 schema:givenName Jian
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055054014.32
    165 rdf:type schema:Person
    166 sg:person.013671623314.68 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    167 schema:familyName Cheng
    168 schema:givenName Puikei
    169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013671623314.68
    170 rdf:type schema:Person
    171 sg:person.013731300464.30 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    172 schema:familyName Smith
    173 schema:givenName Jacob
    174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013731300464.30
    175 rdf:type schema:Person
    176 sg:person.014421642463.68 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    177 schema:familyName Kafka
    178 schema:givenName Orion L.
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014421642463.68
    180 rdf:type schema:Person
    181 sg:person.015564437531.19 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    182 schema:familyName Xiong
    183 schema:givenName Wei
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015564437531.19
    185 rdf:type schema:Person
    186 sg:person.016102260673.22 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    187 schema:familyName Liu
    188 schema:givenName Wing Kam
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016102260673.22
    190 rdf:type schema:Person
    191 sg:person.016121622064.35 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
    192 schema:familyName Lin
    193 schema:givenName Stephen
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016121622064.35
    195 rdf:type schema:Person
    196 sg:pub.10.1007/bf00036191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025309575
    197 https://doi.org/10.1007/bf00036191
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/bf02667333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015516438
    200 https://doi.org/10.1007/bf02667333
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s00170-014-5954-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041246174
    203 https://doi.org/10.1007/s00170-014-5954-9
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s00466-014-1012-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015310467
    206 https://doi.org/10.1007/s00466-014-1012-6
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s00466-015-1170-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023349781
    209 https://doi.org/10.1007/s00466-015-1170-1
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1007/s00466-015-1243-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050856347
    212 https://doi.org/10.1007/s00466-015-1243-1
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s00542-005-0066-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1014054254
    215 https://doi.org/10.1007/s00542-005-0066-y
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s10845-012-0718-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030154204
    218 https://doi.org/10.1007/s10845-012-0718-6
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s11242-005-0619-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009553929
    221 https://doi.org/10.1007/s11242-005-0619-7
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s11465-015-0341-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004668434
    224 https://doi.org/10.1007/s11465-015-0341-2
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s11661-003-0084-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007567868
    227 https://doi.org/10.1007/s11661-003-0084-2
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s11661-008-9566-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024933921
    230 https://doi.org/10.1007/s11661-008-9566-6
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1007/s11661-011-0731-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1047928414
    233 https://doi.org/10.1007/s11661-011-0731-y
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s11661-014-2549-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041851205
    236 https://doi.org/10.1007/s11661-014-2549-x
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s11661-015-2864-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023438180
    239 https://doi.org/10.1007/s11661-015-2864-x
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/nmat1138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000779979
    242 https://doi.org/10.1038/nmat1138
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1361/105497100770340057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049031403
    245 https://doi.org/10.1361/105497100770340057
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1002/adem.201100344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022082116
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1016/0001-6160(84)90213-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046343488
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1016/0364-5916(91)90030-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1029949309
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1016/j.actamat.2009.08.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032518265
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1016/j.actamat.2010.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005958819
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1016/j.actamat.2012.10.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021469241
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1016/j.actamat.2013.04.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000284566
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1016/j.actamat.2014.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015208121
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1016/j.addma.2015.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011240991
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1016/j.apsusc.2007.08.074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026199348
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1016/j.calphad.2012.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001544954
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1016/j.calphad.2015.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019957580
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1016/j.camwa.2013.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037550382
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1016/j.cirpj.2015.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018157535
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1016/j.cossms.2014.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006577596
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1016/j.csite.2014.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035838208
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1016/j.engfracmech.2014.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028041655
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1016/j.ijheatmasstransfer.2005.01.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004781016
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1016/j.ijheatmasstransfer.2014.02.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047353751
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1016/j.ijplas.2015.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031111567
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1016/j.ijthermalsci.2006.04.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024835658
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1016/j.jallcom.2013.08.183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003822425
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/j.jmapro.2013.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033691631
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/j.jmatprotec.2003.11.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015385225
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/j.jmatprotec.2010.12.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052920252
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/j.jmatprotec.2014.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015630083
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/j.jmatprotec.2014.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001079913
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/j.jmatprotec.2014.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011723383
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1016/j.jmatprotec.2015.01.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048481935
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1016/j.jmbbm.2013.08.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021195496
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1016/j.jmps.2010.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035893218
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1016/j.matdes.2014.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025878519
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1016/j.msea.2013.04.099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036197183
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1016/j.msea.2014.01.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040561080
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1016/j.msea.2014.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046688120
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1016/j.msea.2015.01.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041111459
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1016/j.msec.2015.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049468408
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1016/j.optlaseng.2010.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049397708
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1016/j.phpro.2014.08.120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001897290
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1016/j.procir.2013.09.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027477798
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1016/j.proeng.2014.10.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051831438
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1016/j.scriptamat.2012.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017442476
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1016/j.scriptamat.2013.08.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015615742
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1016/j.tca.2014.09.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039593792
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1016/j.vacuum.2009.11.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042979188
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1016/s0021-9991(03)00273-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015757675
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1016/s0079-6425(03)00025-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003746629
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1016/s0309-1708(03)00101-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032437291
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1063/1.4764532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058062707
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1088/0022-3727/34/3/320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007918612
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1088/0022-3727/47/27/275303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044010026
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1109/ict.1996.553500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094850528
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1115/1.3224807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062107440
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1115/1.3443401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062124582
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1126/science.277.5330.1237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062557816
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1137/060654232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062849169
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1137/110836201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062864992
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1179/1743284714y.0000000728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003005528
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1557/jmr.2014.157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050418490
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1557/mrs.2015.273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053720972
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.2320/matertrans.43.551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026530007
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.4028/www.scientific.net/amm.575.493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071970346
    370 rdf:type schema:CreativeWork
    371 https://www.grid.ac/institutes/grid.12527.33 schema:alternateName Tsinghua University
    372 schema:name Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA
    373 Department of Mechanical Engineering, Tsinghua University, 100084, Beijing, China
    374 rdf:type schema:Organization
    375 https://www.grid.ac/institutes/grid.16753.36 schema:alternateName Northwestern University
    376 schema:name Department of Material Science and Engineering, Northwestern University, 2220 Campus Drive, 60208, Evanston, IL, USA
    377 Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, 60208, Evanston, IL, USA
    378 rdf:type schema:Organization
     




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


    ...