Application of the square root diffusivity to diffusion in Ni-Cr-Al-Mo alloys View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1992-12

AUTHORS

M. K. Stalker, J. E. Morral, A. D. Romig

ABSTRACT

The square root diffusivity matrix [r] and diffusivity matrix [D] have been measured for a Ni-4.0 at. pct Cr-6.3 at. pct Al-3.5 at. pct Mo quaternary alloy at 1100 °C. Using a constant diffusivity analysis, the diffusivities were obtained from three diffusion couples having small initial concentration differences of 5 at. pct or less. When elements of [r] were substituted into the error function solution of the diffusion equation, it was found that the predicted concentration profiles were accurate to within ±0.1 at. pct of measured values. Also, it was found that Mo tends to reduce the diffusion kinetics of Cr and Al in Ni-base alloys. These results suggest that these methods of analyzing diffusion data and predicting interdiffusion data can be applied to alloys containing more than four components. More... »

PAGES

3245-3249

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02663433

DOI

http://dx.doi.org/10.1007/bf02663433

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027047249


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": "Armstrong World Industries (United States)", 
          "id": "https://www.grid.ac/institutes/grid.468319.1", 
          "name": [
            "Armstrong World Industries, 17604, Lancaster, PA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stalker", 
        "givenName": "M. K.", 
        "id": "sg:person.012460712011.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012460712011.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Metallurgy and Institute of Materials Science, University of Connecticut, 06269, Starrs, CT"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morral", 
        "givenName": "J. E.", 
        "id": "sg:person.014730400377.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730400377.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sandia National Laboratories", 
          "id": "https://www.grid.ac/institutes/grid.474520.0", 
          "name": [
            "Sandia National Laboratories, 87185, Albuquerque, NM"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Romig", 
        "givenName": "A. D.", 
        "id": "sg:person.016346013165.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016346013165.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0956-7151(90)90150-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010155218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0956-7151(90)90150-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010155218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02661264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016026197", 
          "https://doi.org/10.1007/bf02661264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02661264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016026197", 
          "https://doi.org/10.1007/bf02661264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/p63-212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019634014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02646334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027429422", 
          "https://doi.org/10.1007/bf02646334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02646334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027429422", 
          "https://doi.org/10.1007/bf02646334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02668889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030232534", 
          "https://doi.org/10.1007/bf02668889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02668889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030232534", 
          "https://doi.org/10.1007/bf02668889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(86)90205-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030476283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(86)90205-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030476283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02647079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036514326", 
          "https://doi.org/10.1007/bf02647079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02647079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036514326", 
          "https://doi.org/10.1007/bf02647079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02646063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038002874", 
          "https://doi.org/10.1007/bf02646063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02646063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038002874", 
          "https://doi.org/10.1007/bf02646063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02665423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041506531", 
          "https://doi.org/10.1007/bf02665423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02665423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041506531", 
          "https://doi.org/10.1007/bf02665423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0025-5416(84)90140-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042315831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0025-5416(84)90140-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042315831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02811681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048933532", 
          "https://doi.org/10.1007/bf02811681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02811681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048933532", 
          "https://doi.org/10.1007/bf02811681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(86)90165-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052566207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0001-6160(86)90165-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052566207"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1992-12", 
    "datePublishedReg": "1992-12-01", 
    "description": "The square root diffusivity matrix [r] and diffusivity matrix [D] have been measured for a Ni-4.0 at. pct Cr-6.3 at. pct Al-3.5 at. pct Mo quaternary alloy at 1100 \u00b0C. Using a constant diffusivity analysis, the diffusivities were obtained from three diffusion couples having small initial concentration differences of 5 at. pct or less. When elements of [r] were substituted into the error function solution of the diffusion equation, it was found that the predicted concentration profiles were accurate to within \u00b10.1 at. pct of measured values. Also, it was found that Mo tends to reduce the diffusion kinetics of Cr and Al in Ni-base alloys. These results suggest that these methods of analyzing diffusion data and predicting interdiffusion data can be applied to alloys containing more than four components.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02663433", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1317676", 
        "issn": [
          "0360-2133"
        ], 
        "name": "Metallurgical Transactions A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Application of the square root diffusivity to diffusion in Ni-Cr-Al-Mo alloys", 
    "pagination": "3245-3249", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "80d8c6efa35019acd9dc7b622f61ac1cc440b0d42f56a6c48d455051b8026b94"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02663433"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027047249"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02663433", 
      "https://app.dimensions.ai/details/publication/pub.1027047249"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:59", 
    "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_8663_00000505.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2FBF02663433"
  }
]
 

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/bf02663433'

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/bf02663433'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02663433'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02663433'


 

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

122 TRIPLES      21 PREDICATES      39 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02663433 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Na117b463736d4745afc828a94da303a6
4 schema:citation sg:pub.10.1007/bf02646063
5 sg:pub.10.1007/bf02646334
6 sg:pub.10.1007/bf02647079
7 sg:pub.10.1007/bf02661264
8 sg:pub.10.1007/bf02665423
9 sg:pub.10.1007/bf02668889
10 sg:pub.10.1007/bf02811681
11 https://doi.org/10.1016/0001-6160(86)90165-3
12 https://doi.org/10.1016/0001-6160(86)90205-1
13 https://doi.org/10.1016/0025-5416(84)90140-x
14 https://doi.org/10.1016/0956-7151(90)90150-f
15 https://doi.org/10.1139/p63-212
16 schema:datePublished 1992-12
17 schema:datePublishedReg 1992-12-01
18 schema:description The square root diffusivity matrix [r] and diffusivity matrix [D] have been measured for a Ni-4.0 at. pct Cr-6.3 at. pct Al-3.5 at. pct Mo quaternary alloy at 1100 °C. Using a constant diffusivity analysis, the diffusivities were obtained from three diffusion couples having small initial concentration differences of 5 at. pct or less. When elements of [r] were substituted into the error function solution of the diffusion equation, it was found that the predicted concentration profiles were accurate to within ±0.1 at. pct of measured values. Also, it was found that Mo tends to reduce the diffusion kinetics of Cr and Al in Ni-base alloys. These results suggest that these methods of analyzing diffusion data and predicting interdiffusion data can be applied to alloys containing more than four components.
19 schema:genre research_article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N196736f698ed45629827a0e0e464f3bd
23 N4782aca21fed4f3c935bf00342425a63
24 sg:journal.1317676
25 schema:name Application of the square root diffusivity to diffusion in Ni-Cr-Al-Mo alloys
26 schema:pagination 3245-3249
27 schema:productId N468fc6120b9e4e9e979e9c6919daa65f
28 Ne9e37d098e6e4016bccc89af4a2bf8e4
29 Nf68cebcc744842cabe54f412b37c73f7
30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027047249
31 https://doi.org/10.1007/bf02663433
32 schema:sdDatePublished 2019-04-10T14:59
33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
34 schema:sdPublisher N29b8c3741f7f4244be80fa0096cad962
35 schema:url http://link.springer.com/10.1007%2FBF02663433
36 sgo:license sg:explorer/license/
37 sgo:sdDataset articles
38 rdf:type schema:ScholarlyArticle
39 N196736f698ed45629827a0e0e464f3bd schema:issueNumber 12
40 rdf:type schema:PublicationIssue
41 N29b8c3741f7f4244be80fa0096cad962 schema:name Springer Nature - SN SciGraph project
42 rdf:type schema:Organization
43 N2f656397b07c443ea52d6aa9d85d068a rdf:first sg:person.016346013165.50
44 rdf:rest rdf:nil
45 N468fc6120b9e4e9e979e9c6919daa65f schema:name doi
46 schema:value 10.1007/bf02663433
47 rdf:type schema:PropertyValue
48 N4782aca21fed4f3c935bf00342425a63 schema:volumeNumber 23
49 rdf:type schema:PublicationVolume
50 N5a06c7a4efaa4cdcba73b8c580d2fb4b schema:name Department of Metallurgy and Institute of Materials Science, University of Connecticut, 06269, Starrs, CT
51 rdf:type schema:Organization
52 Na117b463736d4745afc828a94da303a6 rdf:first sg:person.012460712011.20
53 rdf:rest Nd76e5ed2ad624039af78111b918cf31f
54 Nd76e5ed2ad624039af78111b918cf31f rdf:first sg:person.014730400377.53
55 rdf:rest N2f656397b07c443ea52d6aa9d85d068a
56 Ne9e37d098e6e4016bccc89af4a2bf8e4 schema:name dimensions_id
57 schema:value pub.1027047249
58 rdf:type schema:PropertyValue
59 Nf68cebcc744842cabe54f412b37c73f7 schema:name readcube_id
60 schema:value 80d8c6efa35019acd9dc7b622f61ac1cc440b0d42f56a6c48d455051b8026b94
61 rdf:type schema:PropertyValue
62 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
63 schema:name Engineering
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
66 schema:name Materials Engineering
67 rdf:type schema:DefinedTerm
68 sg:journal.1317676 schema:issn 0360-2133
69 schema:name Metallurgical Transactions A
70 rdf:type schema:Periodical
71 sg:person.012460712011.20 schema:affiliation https://www.grid.ac/institutes/grid.468319.1
72 schema:familyName Stalker
73 schema:givenName M. K.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012460712011.20
75 rdf:type schema:Person
76 sg:person.014730400377.53 schema:affiliation N5a06c7a4efaa4cdcba73b8c580d2fb4b
77 schema:familyName Morral
78 schema:givenName J. E.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730400377.53
80 rdf:type schema:Person
81 sg:person.016346013165.50 schema:affiliation https://www.grid.ac/institutes/grid.474520.0
82 schema:familyName Romig
83 schema:givenName A. D.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016346013165.50
85 rdf:type schema:Person
86 sg:pub.10.1007/bf02646063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038002874
87 https://doi.org/10.1007/bf02646063
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/bf02646334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027429422
90 https://doi.org/10.1007/bf02646334
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/bf02647079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036514326
93 https://doi.org/10.1007/bf02647079
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/bf02661264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016026197
96 https://doi.org/10.1007/bf02661264
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/bf02665423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041506531
99 https://doi.org/10.1007/bf02665423
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/bf02668889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030232534
102 https://doi.org/10.1007/bf02668889
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/bf02811681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048933532
105 https://doi.org/10.1007/bf02811681
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/0001-6160(86)90165-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052566207
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/0001-6160(86)90205-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030476283
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0025-5416(84)90140-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042315831
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/0956-7151(90)90150-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1010155218
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1139/p63-212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019634014
116 rdf:type schema:CreativeWork
117 https://www.grid.ac/institutes/grid.468319.1 schema:alternateName Armstrong World Industries (United States)
118 schema:name Armstrong World Industries, 17604, Lancaster, PA
119 rdf:type schema:Organization
120 https://www.grid.ac/institutes/grid.474520.0 schema:alternateName Sandia National Laboratories
121 schema:name Sandia National Laboratories, 87185, Albuquerque, NM
122 rdf:type schema:Organization
 




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


...