Peculiarities of implementation of abnormally high shape memory effects in thermomechanically treated Ti-Ni alloys View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-07

AUTHORS

E. P. Ryklina, S. D. Prokoshkin, A. A. Chernavina

ABSTRACT

The combined action of a number of factors (the initial phase state, structure state, and parameters of the external actions) by their simultaneous variation upon induction of the shape memory effect (SME) and the two-way SME (TWSME) in the Ti-50.7 at % Ni alloy on the functional characteristics during bending is studied. The obtained values of the recoverable strain ɛr = 14.8% and ɛTW = 5.4% substantially exceed the earlier reached level of the SME and TWSME parameters in binary alloys. More... »

PAGES

348-355

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s2075113313040096

DOI

http://dx.doi.org/10.1134/s2075113313040096

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010910781


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": "National University of Science and Technology MISiS, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.35043.31", 
          "name": [
            "National University of Science and Technology MISiS, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ryklina", 
        "givenName": "E. P.", 
        "id": "sg:person.012541421565.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012541421565.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Science and Technology MISiS, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.35043.31", 
          "name": [
            "National University of Science and Technology MISiS, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Prokoshkin", 
        "givenName": "S. D.", 
        "id": "sg:person.015352705675.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015352705675.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Science and Technology MISiS, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.35043.31", 
          "name": [
            "National University of Science and Technology MISiS, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chernavina", 
        "givenName": "A. A.", 
        "id": "sg:person.07621632765.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07621632765.71"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0031918x11020244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008254013", 
          "https://doi.org/10.1134/s0031918x11020244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0031918x09120060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039836536", 
          "https://doi.org/10.1134/s0031918x09120060"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-07", 
    "datePublishedReg": "2013-07-01", 
    "description": "The combined action of a number of factors (the initial phase state, structure state, and parameters of the external actions) by their simultaneous variation upon induction of the shape memory effect (SME) and the two-way SME (TWSME) in the Ti-50.7 at % Ni alloy on the functional characteristics during bending is studied. The obtained values of the recoverable strain \u025br = 14.8% and \u025bTW = 5.4% substantially exceed the earlier reached level of the SME and TWSME parameters in binary alloys.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s2075113313040096", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135943", 
        "issn": [
          "2075-1133", 
          "2075-115X"
        ], 
        "name": "Inorganic Materials: Applied Research", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "keywords": [
      "shape memory effect", 
      "two-way shape memory effect", 
      "two-way SME", 
      "highest shape memory effect", 
      "memory effect", 
      "Ti-50.7", 
      "Ni alloy", 
      "recoverable strain", 
      "Ti\u2013Ni", 
      "binary alloys", 
      "TWSME parameters", 
      "alloy", 
      "simultaneous variation", 
      "combined action", 
      "parameters", 
      "characteristics", 
      "effect", 
      "implementation", 
      "variation", 
      "number of factors", 
      "strains", 
      "values", 
      "peculiarities of implementation", 
      "functional characteristics", 
      "peculiarities", 
      "number", 
      "factors", 
      "levels", 
      "action", 
      "induction"
    ], 
    "name": "Peculiarities of implementation of abnormally high shape memory effects in thermomechanically treated Ti-Ni alloys", 
    "pagination": "348-355", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010910781"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s2075113313040096"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s2075113313040096", 
      "https://app.dimensions.ai/details/publication/pub.1010910781"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_603.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s2075113313040096"
  }
]
 

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.10.1134/s2075113313040096'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s2075113313040096'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s2075113313040096'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s2075113313040096'


 

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

110 TRIPLES      22 PREDICATES      58 URIs      48 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s2075113313040096 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Naf0d4c14d8c84ef38081d4afe60cc905
4 schema:citation sg:pub.10.1134/s0031918x09120060
5 sg:pub.10.1134/s0031918x11020244
6 schema:datePublished 2013-07
7 schema:datePublishedReg 2013-07-01
8 schema:description The combined action of a number of factors (the initial phase state, structure state, and parameters of the external actions) by their simultaneous variation upon induction of the shape memory effect (SME) and the two-way SME (TWSME) in the Ti-50.7 at % Ni alloy on the functional characteristics during bending is studied. The obtained values of the recoverable strain ɛr = 14.8% and ɛTW = 5.4% substantially exceed the earlier reached level of the SME and TWSME parameters in binary alloys.
9 schema:genre article
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N4593bb33e0224371ac25c21affdd73e6
13 Nb167ac578d664fcfaa275b75cd1823e8
14 sg:journal.1135943
15 schema:keywords Ni alloy
16 TWSME parameters
17 Ti-50.7
18 Ti–Ni
19 action
20 alloy
21 binary alloys
22 characteristics
23 combined action
24 effect
25 factors
26 functional characteristics
27 highest shape memory effect
28 implementation
29 induction
30 levels
31 memory effect
32 number
33 number of factors
34 parameters
35 peculiarities
36 peculiarities of implementation
37 recoverable strain
38 shape memory effect
39 simultaneous variation
40 strains
41 two-way SME
42 two-way shape memory effect
43 values
44 variation
45 schema:name Peculiarities of implementation of abnormally high shape memory effects in thermomechanically treated Ti-Ni alloys
46 schema:pagination 348-355
47 schema:productId Nab5b7fd0f68444338a5e76bc2458a2dc
48 Nca494ed9de9d409b8f217147f98d23a3
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010910781
50 https://doi.org/10.1134/s2075113313040096
51 schema:sdDatePublished 2022-05-20T07:29
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher Nab4e07c1be1646aba6ddfc0df68d1d58
54 schema:url https://doi.org/10.1134/s2075113313040096
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N4593bb33e0224371ac25c21affdd73e6 schema:volumeNumber 4
59 rdf:type schema:PublicationVolume
60 Nab4e07c1be1646aba6ddfc0df68d1d58 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 Nab5b7fd0f68444338a5e76bc2458a2dc schema:name doi
63 schema:value 10.1134/s2075113313040096
64 rdf:type schema:PropertyValue
65 Naf0d4c14d8c84ef38081d4afe60cc905 rdf:first sg:person.012541421565.22
66 rdf:rest Nf30282a909f04d63a7164988e0d9960e
67 Nb167ac578d664fcfaa275b75cd1823e8 schema:issueNumber 4
68 rdf:type schema:PublicationIssue
69 Nca494ed9de9d409b8f217147f98d23a3 schema:name dimensions_id
70 schema:value pub.1010910781
71 rdf:type schema:PropertyValue
72 Nedf0780c663f4fd6a9704b5051d52945 rdf:first sg:person.07621632765.71
73 rdf:rest rdf:nil
74 Nf30282a909f04d63a7164988e0d9960e rdf:first sg:person.015352705675.83
75 rdf:rest Nedf0780c663f4fd6a9704b5051d52945
76 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
77 schema:name Engineering
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
80 schema:name Materials Engineering
81 rdf:type schema:DefinedTerm
82 sg:journal.1135943 schema:issn 2075-1133
83 2075-115X
84 schema:name Inorganic Materials: Applied Research
85 schema:publisher Pleiades Publishing
86 rdf:type schema:Periodical
87 sg:person.012541421565.22 schema:affiliation grid-institutes:grid.35043.31
88 schema:familyName Ryklina
89 schema:givenName E. P.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012541421565.22
91 rdf:type schema:Person
92 sg:person.015352705675.83 schema:affiliation grid-institutes:grid.35043.31
93 schema:familyName Prokoshkin
94 schema:givenName S. D.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015352705675.83
96 rdf:type schema:Person
97 sg:person.07621632765.71 schema:affiliation grid-institutes:grid.35043.31
98 schema:familyName Chernavina
99 schema:givenName A. A.
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07621632765.71
101 rdf:type schema:Person
102 sg:pub.10.1134/s0031918x09120060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039836536
103 https://doi.org/10.1134/s0031918x09120060
104 rdf:type schema:CreativeWork
105 sg:pub.10.1134/s0031918x11020244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008254013
106 https://doi.org/10.1134/s0031918x11020244
107 rdf:type schema:CreativeWork
108 grid-institutes:grid.35043.31 schema:alternateName National University of Science and Technology MISiS, Moscow, Russia
109 schema:name National University of Science and Technology MISiS, Moscow, Russia
110 rdf:type schema:Organization
 




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


...