Grain texture evolution during the columnar growth of dendritic alloys View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-06

AUTHORS

Ch. A. Gandin, M. Rappaz, D. West, B. L. Adams

ABSTRACT

The grain selection that operates in the columnar zone of a directionally solidified (DS) INCONEL X750 superalloy has been investigated using standard metallography and an automatic indexing technique of electron backscattered diffraction patterns (EBSPs). From the crystallographic orientations measured at 90,000 points in a longitudinal section, the grain structure was reconstructed. The grain density as measured by the inverse of the mean linear intercept was found to be a decreasing function of the distance from the chill. The evolution of the 〈100〉 pole figures along the columnar zone of the casting and the distribution of the angle θ characterizing the 〈100〉 direction of the grains that is closest to the temperature gradient were then deduced from the EBSPs measurement. It was found that, near the surface of the chill, the θ distribution was close to the theoretical curve calculated for randomly oriented grains. As the distance from the chill increased, the measured θ distribution became narrower and was displaced toward smaller θ values. At 2 mm from the chill, the most probable orientation of the grains was found to be about 0.21 rad (12 deg). The information obtained with the EBSPs was then compared with the results of a three-dimensional stochastic model (3D SM) describing the formation of grain structure during solidification. This model accounts for the random location and orientation of the nuclei, for the growth kinetics and preferential 〈100〉 growth directions of the dendrites. Although this model assumes a uniform temperature within the specimen, the simulation results were found to be in good agreement with the EBSPs measurement. More... »

PAGES

1543-1551

References to SciGraph publications

  • 1994-03. 3-Dimensional simulation of the grain formation in investment castings in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1993-04. Orientation imaging: The emergence of a new microscopy in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1992-03. Automatic analysis of electron backscatter diffraction patterns in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1993-02. Three-dimensional probabilistic simulation of solidification grain structures: Application to superalloy precision castings in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1993-06. Microstructural formation in longitudinal bicrystal welds in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1987-03. Combined X-ray microdiffraction and topography experiment for microstructural analysis of heterogeneous materials in JOURNAL OF MATERIALS SCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02647605

    DOI

    http://dx.doi.org/10.1007/bf02647605

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1008404524


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Materials Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Laboratoire de M\u00e9tallurgie Physique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, MX-G, CH-1015, Lausanne, Switzerland", 
              "id": "http://www.grid.ac/institutes/grid.5333.6", 
              "name": [
                "Laboratoire de M\u00e9tallurgie Physique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, MX-G, CH-1015, Lausanne, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gandin", 
            "givenName": "Ch. A.", 
            "id": "sg:person.010332710054.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010332710054.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laboratoire de M\u00e9tallurgie Physique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, MX-G, CH-1015, Lausanne, Switzerland", 
              "id": "http://www.grid.ac/institutes/grid.5333.6", 
              "name": [
                "Laboratoire de M\u00e9tallurgie Physique, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, MX-G, CH-1015, Lausanne, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rappaz", 
            "givenName": "M.", 
            "id": "sg:person.013657516157.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013657516157.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Manufacturing Engineering and Engineering Technology, Brigham Young University, 435 CTB, UT 84602, Provo", 
              "id": "http://www.grid.ac/institutes/grid.253294.b", 
              "name": [
                "Department of Manufacturing Engineering and Engineering Technology, Brigham Young University, 435 CTB, UT 84602, Provo"
              ], 
              "type": "Organization"
            }, 
            "familyName": "West", 
            "givenName": "D.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Manufacturing Engineering and Engineering Technology, Brigham Young University, 435 CTB, UT 84602, Provo", 
              "id": "http://www.grid.ac/institutes/grid.253294.b", 
              "name": [
                "Department of Manufacturing Engineering and Engineering Technology, Brigham Young University, 435 CTB, UT 84602, Provo"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Adams", 
            "givenName": "B. L.", 
            "id": "sg:person.01006310242.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006310242.00"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02668211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024167629", 
              "https://doi.org/10.1007/bf02668211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02656503", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044700508", 
              "https://doi.org/10.1007/bf02656503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01103527", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049828022", 
              "https://doi.org/10.1007/bf01103527"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02675553", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006954714", 
              "https://doi.org/10.1007/bf02675553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02651604", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001291895", 
              "https://doi.org/10.1007/bf02651604"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02657334", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035268094", 
              "https://doi.org/10.1007/bf02657334"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1995-06", 
        "datePublishedReg": "1995-06-01", 
        "description": "The grain selection that operates in the columnar zone of a directionally solidified (DS) INCONEL X750 superalloy has been investigated using standard metallography and an automatic indexing technique of electron backscattered diffraction patterns (EBSPs). From the crystallographic orientations measured at 90,000 points in a longitudinal section, the grain structure was reconstructed. The grain density as measured by the inverse of the mean linear intercept was found to be a decreasing function of the distance from the chill. The evolution of the \u3008100\u3009 pole figures along the columnar zone of the casting and the distribution of the angle \u03b8 characterizing the \u3008100\u3009 direction of the grains that is closest to the temperature gradient were then deduced from the EBSPs measurement. It was found that, near the surface of the chill, the \u03b8 distribution was close to the theoretical curve calculated for randomly oriented grains. As the distance from the chill increased, the measured \u03b8 distribution became narrower and was displaced toward smaller \u03b8 values. At 2 mm from the chill, the most probable orientation of the grains was found to be about 0.21 rad (12 deg). The information obtained with the EBSPs was then compared with the results of a three-dimensional stochastic model (3D SM) describing the formation of grain structure during solidification. This model accounts for the random location and orientation of the nuclei, for the growth kinetics and preferential \u3008100\u3009 growth directions of the dendrites. Although this model assumes a uniform temperature within the specimen, the simulation results were found to be in good agreement with the EBSPs measurement.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/bf02647605", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136292", 
            "issn": [
              "1073-5623", 
              "1543-1940"
            ], 
            "name": "Metallurgical and Materials Transactions A", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "keywords": [
          "three-dimensional stochastic model", 
          "small \u03b8 values", 
          "stochastic model", 
          "theoretical curves", 
          "angle \u03b8", 
          "standard metallography", 
          "simulation results", 
          "grain texture evolution", 
          "columnar growth", 
          "random locations", 
          "dendritic alloys", 
          "pole figures", 
          "temperature gradient", 
          "\u03b8 distributions", 
          "good agreement", 
          "diffraction patterns", 
          "crystallographic orientation", 
          "grain structure", 
          "probable orientation", 
          "uniform temperature", 
          "inverse", 
          "model", 
          "distribution", 
          "\u03b8 values", 
          "automatic indexing techniques", 
          "growth direction", 
          "grain selection", 
          "electrons", 
          "direction", 
          "distance", 
          "evolution", 
          "structure", 
          "orientation", 
          "measurements", 
          "point", 
          "agreement", 
          "function", 
          "gradient", 
          "results", 
          "grains", 
          "technique", 
          "density", 
          "curves", 
          "columnar zone", 
          "growth kinetics", 
          "intercept", 
          "grain density", 
          "solidification", 
          "temperature", 
          "values", 
          "selection", 
          "zone", 
          "texture evolution", 
          "surface", 
          "information", 
          "alloy", 
          "sections", 
          "rad", 
          "location", 
          "EBSP", 
          "nucleus", 
          "figures", 
          "longitudinal sections", 
          "indexing techniques", 
          "casting", 
          "patterns", 
          "formation", 
          "kinetics", 
          "growth", 
          "linear intercept", 
          "metallography", 
          "specimen", 
          "superalloy", 
          "dendrites", 
          "mean linear intercept", 
          "chills"
        ], 
        "name": "Grain texture evolution during the columnar growth of dendritic alloys", 
        "pagination": "1543-1551", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1008404524"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf02647605"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf02647605", 
          "https://app.dimensions.ai/details/publication/pub.1008404524"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T15:48", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_283.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/bf02647605"
      }
    ]
     

    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/bf02647605'

    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/bf02647605'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02647605'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02647605'


     

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

    180 TRIPLES      21 PREDICATES      107 URIs      93 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf02647605 schema:about anzsrc-for:09
    2 anzsrc-for:0912
    3 schema:author Nd5db60ba4503485c85801cb65459353f
    4 schema:citation sg:pub.10.1007/bf01103527
    5 sg:pub.10.1007/bf02651604
    6 sg:pub.10.1007/bf02656503
    7 sg:pub.10.1007/bf02657334
    8 sg:pub.10.1007/bf02668211
    9 sg:pub.10.1007/bf02675553
    10 schema:datePublished 1995-06
    11 schema:datePublishedReg 1995-06-01
    12 schema:description The grain selection that operates in the columnar zone of a directionally solidified (DS) INCONEL X750 superalloy has been investigated using standard metallography and an automatic indexing technique of electron backscattered diffraction patterns (EBSPs). From the crystallographic orientations measured at 90,000 points in a longitudinal section, the grain structure was reconstructed. The grain density as measured by the inverse of the mean linear intercept was found to be a decreasing function of the distance from the chill. The evolution of the 〈100〉 pole figures along the columnar zone of the casting and the distribution of the angle θ characterizing the 〈100〉 direction of the grains that is closest to the temperature gradient were then deduced from the EBSPs measurement. It was found that, near the surface of the chill, the θ distribution was close to the theoretical curve calculated for randomly oriented grains. As the distance from the chill increased, the measured θ distribution became narrower and was displaced toward smaller θ values. At 2 mm from the chill, the most probable orientation of the grains was found to be about 0.21 rad (12 deg). The information obtained with the EBSPs was then compared with the results of a three-dimensional stochastic model (3D SM) describing the formation of grain structure during solidification. This model accounts for the random location and orientation of the nuclei, for the growth kinetics and preferential 〈100〉 growth directions of the dendrites. Although this model assumes a uniform temperature within the specimen, the simulation results were found to be in good agreement with the EBSPs measurement.
    13 schema:genre article
    14 schema:isAccessibleForFree false
    15 schema:isPartOf N29a84ba23ac24bc09ce114ce8d0b0d11
    16 N4e4adbdf1f4147c3a31fafa19092d702
    17 sg:journal.1136292
    18 schema:keywords EBSP
    19 agreement
    20 alloy
    21 angle θ
    22 automatic indexing techniques
    23 casting
    24 chills
    25 columnar growth
    26 columnar zone
    27 crystallographic orientation
    28 curves
    29 dendrites
    30 dendritic alloys
    31 density
    32 diffraction patterns
    33 direction
    34 distance
    35 distribution
    36 electrons
    37 evolution
    38 figures
    39 formation
    40 function
    41 good agreement
    42 gradient
    43 grain density
    44 grain selection
    45 grain structure
    46 grain texture evolution
    47 grains
    48 growth
    49 growth direction
    50 growth kinetics
    51 indexing techniques
    52 information
    53 intercept
    54 inverse
    55 kinetics
    56 linear intercept
    57 location
    58 longitudinal sections
    59 mean linear intercept
    60 measurements
    61 metallography
    62 model
    63 nucleus
    64 orientation
    65 patterns
    66 point
    67 pole figures
    68 probable orientation
    69 rad
    70 random locations
    71 results
    72 sections
    73 selection
    74 simulation results
    75 small θ values
    76 solidification
    77 specimen
    78 standard metallography
    79 stochastic model
    80 structure
    81 superalloy
    82 surface
    83 technique
    84 temperature
    85 temperature gradient
    86 texture evolution
    87 theoretical curves
    88 three-dimensional stochastic model
    89 uniform temperature
    90 values
    91 zone
    92 θ distributions
    93 θ values
    94 schema:name Grain texture evolution during the columnar growth of dendritic alloys
    95 schema:pagination 1543-1551
    96 schema:productId N57f926e2fdf04b6da4cd7a11f66dc3d0
    97 Nbb6e910d85734e2cbd319a20314c6bd5
    98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008404524
    99 https://doi.org/10.1007/bf02647605
    100 schema:sdDatePublished 2022-09-02T15:48
    101 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    102 schema:sdPublisher Ne0e782d03238471d98f8cd4cbaee6993
    103 schema:url https://doi.org/10.1007/bf02647605
    104 sgo:license sg:explorer/license/
    105 sgo:sdDataset articles
    106 rdf:type schema:ScholarlyArticle
    107 N05e8d8944df148e1bee55094c2b0a566 rdf:first sg:person.01006310242.00
    108 rdf:rest rdf:nil
    109 N22cc705e1a04407181957b7df8c467de rdf:first N2a1c7bf1aa5f422fb25c929830116dbb
    110 rdf:rest N05e8d8944df148e1bee55094c2b0a566
    111 N29a84ba23ac24bc09ce114ce8d0b0d11 schema:volumeNumber 26
    112 rdf:type schema:PublicationVolume
    113 N2a1c7bf1aa5f422fb25c929830116dbb schema:affiliation grid-institutes:grid.253294.b
    114 schema:familyName West
    115 schema:givenName D.
    116 rdf:type schema:Person
    117 N4e4adbdf1f4147c3a31fafa19092d702 schema:issueNumber 6
    118 rdf:type schema:PublicationIssue
    119 N57f926e2fdf04b6da4cd7a11f66dc3d0 schema:name doi
    120 schema:value 10.1007/bf02647605
    121 rdf:type schema:PropertyValue
    122 N862816b82d8948cba2c946e25fc43c51 rdf:first sg:person.013657516157.10
    123 rdf:rest N22cc705e1a04407181957b7df8c467de
    124 Nbb6e910d85734e2cbd319a20314c6bd5 schema:name dimensions_id
    125 schema:value pub.1008404524
    126 rdf:type schema:PropertyValue
    127 Nd5db60ba4503485c85801cb65459353f rdf:first sg:person.010332710054.26
    128 rdf:rest N862816b82d8948cba2c946e25fc43c51
    129 Ne0e782d03238471d98f8cd4cbaee6993 schema:name Springer Nature - SN SciGraph project
    130 rdf:type schema:Organization
    131 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    132 schema:name Engineering
    133 rdf:type schema:DefinedTerm
    134 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
    135 schema:name Materials Engineering
    136 rdf:type schema:DefinedTerm
    137 sg:journal.1136292 schema:issn 1073-5623
    138 1543-1940
    139 schema:name Metallurgical and Materials Transactions A
    140 schema:publisher Springer Nature
    141 rdf:type schema:Periodical
    142 sg:person.01006310242.00 schema:affiliation grid-institutes:grid.253294.b
    143 schema:familyName Adams
    144 schema:givenName B. L.
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006310242.00
    146 rdf:type schema:Person
    147 sg:person.010332710054.26 schema:affiliation grid-institutes:grid.5333.6
    148 schema:familyName Gandin
    149 schema:givenName Ch. A.
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010332710054.26
    151 rdf:type schema:Person
    152 sg:person.013657516157.10 schema:affiliation grid-institutes:grid.5333.6
    153 schema:familyName Rappaz
    154 schema:givenName M.
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013657516157.10
    156 rdf:type schema:Person
    157 sg:pub.10.1007/bf01103527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049828022
    158 https://doi.org/10.1007/bf01103527
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/bf02651604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001291895
    161 https://doi.org/10.1007/bf02651604
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/bf02656503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044700508
    164 https://doi.org/10.1007/bf02656503
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/bf02657334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035268094
    167 https://doi.org/10.1007/bf02657334
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/bf02668211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024167629
    170 https://doi.org/10.1007/bf02668211
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/bf02675553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006954714
    173 https://doi.org/10.1007/bf02675553
    174 rdf:type schema:CreativeWork
    175 grid-institutes:grid.253294.b schema:alternateName Department of Manufacturing Engineering and Engineering Technology, Brigham Young University, 435 CTB, UT 84602, Provo
    176 schema:name Department of Manufacturing Engineering and Engineering Technology, Brigham Young University, 435 CTB, UT 84602, Provo
    177 rdf:type schema:Organization
    178 grid-institutes:grid.5333.6 schema:alternateName Laboratoire de Métallurgie Physique, Ecole Polytechnique Fédérale de Lausanne, MX-G, CH-1015, Lausanne, Switzerland
    179 schema:name Laboratoire de Métallurgie Physique, Ecole Polytechnique Fédérale de Lausanne, MX-G, CH-1015, Lausanne, Switzerland
    180 rdf:type schema:Organization
     




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


    ...