Structural Sensitivity of the Parameters of Asymmetric “Coercive Return–Magnetization” Cycle in Heat-Treated Low-Carbon Steels View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11

AUTHORS

V. N. Kostin, O. N. Vasilenko, S. G. Sandomirskii

ABSTRACT

It has been shown both theoretically and experimentally that as the tempering temperature of quenched low-carbon steels increases up 600–650°C, the values of induction on the asymmetric “coercive return–magnetization” cycle decrease monotonically at fixed, proportional to the coercive force, values of magnetic field. This effect is associated with a transition from structures with a uniaxial magnetic anisotropy (after quenching) to structures with three easy-magnetization axes (after hightemperature tempering). Within the model of prevailing 180° displacements, numerical estimates have been produced for the magnetic parameters of the “coercive return–magnetization” cycle in these magnetic structures. The estimates are in a good agreement with experimental data. It is shown that induction resulting from the inversion (polarity switching) of coercive field exhibits a structural sensitivity that is similar to that demonstrated by coercive-return magnetization and is therefore a promising parameter for magnetic structural analysis. It has been demonstrated that the proposed parameter can be measured locally using the DIUS-1.15M mobile hardware-software system. More... »

PAGES

776-783

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1061830918110050

DOI

http://dx.doi.org/10.1134/s1061830918110050

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111759047


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": "Ural Federal University", 
          "id": "https://www.grid.ac/institutes/grid.412761.7", 
          "name": [
            "Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Yekaterinburg, Russia", 
            "Ural Federal University, 620002, Yekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kostin", 
        "givenName": "V. N.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ural Federal University", 
          "id": "https://www.grid.ac/institutes/grid.412761.7", 
          "name": [
            "Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Yekaterinburg, Russia", 
            "Ural Federal University, 620002, Yekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vasilenko", 
        "givenName": "O. N.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Joint Institute of Mechanical Engineering", 
          "id": "https://www.grid.ac/institutes/grid.494915.4", 
          "name": [
            "Joint Institute of Mechanical Engineering, National Academy of Sciences of Belarus, 220072, Minsk, Belarus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sandomirskii", 
        "givenName": "S. G.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/b:runt.0000036425.04474.f6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007022160", 
          "https://doi.org/10.1023/b:runt.0000036425.04474.f6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1016869501421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007988395", 
          "https://doi.org/10.1023/a:1016869501421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061830912070042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013210007", 
          "https://doi.org/10.1134/s1061830912070042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061830911090051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023112382", 
          "https://doi.org/10.1134/s1061830911090051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061830911020094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023634796", 
          "https://doi.org/10.1134/s1061830911020094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061830908100069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040526309", 
          "https://doi.org/10.1134/s1061830908100069"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11", 
    "datePublishedReg": "2018-11-01", 
    "description": "It has been shown both theoretically and experimentally that as the tempering temperature of quenched low-carbon steels increases up 600\u2013650\u00b0C, the values of induction on the asymmetric \u201ccoercive return\u2013magnetization\u201d cycle decrease monotonically at fixed, proportional to the coercive force, values of magnetic field. This effect is associated with a transition from structures with a uniaxial magnetic anisotropy (after quenching) to structures with three easy-magnetization axes (after hightemperature tempering). Within the model of prevailing 180\u00b0 displacements, numerical estimates have been produced for the magnetic parameters of the \u201ccoercive return\u2013magnetization\u201d cycle in these magnetic structures. The estimates are in a good agreement with experimental data. It is shown that induction resulting from the inversion (polarity switching) of coercive field exhibits a structural sensitivity that is similar to that demonstrated by coercive-return magnetization and is therefore a promising parameter for magnetic structural analysis. It has been demonstrated that the proposed parameter can be measured locally using the DIUS-1.15M mobile hardware-software system.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1061830918110050", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136012", 
        "issn": [
          "1061-8309", 
          "1608-3385"
        ], 
        "name": "Russian Journal of Nondestructive Testing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "54"
      }
    ], 
    "name": "Structural Sensitivity of the Parameters of Asymmetric \u201cCoercive Return\u2013Magnetization\u201d Cycle in Heat-Treated Low-Carbon Steels", 
    "pagination": "776-783", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f1d8ed126e45cb907bc01a7046b8d8eb1ab03f8a9b41c492b666fbb190886b6e"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1061830918110050"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111759047"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1061830918110050", 
      "https://app.dimensions.ai/details/publication/pub.1111759047"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:59", 
    "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/v90/0000000326_0000000326/records_68474_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1134%2FS1061830918110050"
  }
]
 

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/s1061830918110050'

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/s1061830918110050'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1061830918110050'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1061830918110050'


 

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

100 TRIPLES      21 PREDICATES      33 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1061830918110050 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N217ce869629e4b7a8820256b3a0554c5
4 schema:citation sg:pub.10.1023/a:1016869501421
5 sg:pub.10.1023/b:runt.0000036425.04474.f6
6 sg:pub.10.1134/s1061830908100069
7 sg:pub.10.1134/s1061830911020094
8 sg:pub.10.1134/s1061830911090051
9 sg:pub.10.1134/s1061830912070042
10 schema:datePublished 2018-11
11 schema:datePublishedReg 2018-11-01
12 schema:description It has been shown both theoretically and experimentally that as the tempering temperature of quenched low-carbon steels increases up 600–650°C, the values of induction on the asymmetric “coercive return–magnetization” cycle decrease monotonically at fixed, proportional to the coercive force, values of magnetic field. This effect is associated with a transition from structures with a uniaxial magnetic anisotropy (after quenching) to structures with three easy-magnetization axes (after hightemperature tempering). Within the model of prevailing 180° displacements, numerical estimates have been produced for the magnetic parameters of the “coercive return–magnetization” cycle in these magnetic structures. The estimates are in a good agreement with experimental data. It is shown that induction resulting from the inversion (polarity switching) of coercive field exhibits a structural sensitivity that is similar to that demonstrated by coercive-return magnetization and is therefore a promising parameter for magnetic structural analysis. It has been demonstrated that the proposed parameter can be measured locally using the DIUS-1.15M mobile hardware-software system.
13 schema:genre research_article
14 schema:inLanguage en
15 schema:isAccessibleForFree false
16 schema:isPartOf Nbbdfcc91c96545ceb7b2d0d237775787
17 Nfa74c5c774de472fb9c9f938d9441c91
18 sg:journal.1136012
19 schema:name Structural Sensitivity of the Parameters of Asymmetric “Coercive Return–Magnetization” Cycle in Heat-Treated Low-Carbon Steels
20 schema:pagination 776-783
21 schema:productId N7a79df54de7840de845fe32f42ba9a01
22 N925088d569bb4174b5271b07a20046bc
23 Nc920ecc1153e4beea0460c33bfda853a
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111759047
25 https://doi.org/10.1134/s1061830918110050
26 schema:sdDatePublished 2019-04-11T08:59
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher Nedae77aa60f74c3ba4bdc74fec7e63da
29 schema:url https://link.springer.com/10.1134%2FS1061830918110050
30 sgo:license sg:explorer/license/
31 sgo:sdDataset articles
32 rdf:type schema:ScholarlyArticle
33 N217ce869629e4b7a8820256b3a0554c5 rdf:first Nac9dff55035647acb98a121e90832c6c
34 rdf:rest Na6467c060e5949c0844f64bde21b74e8
35 N54c64b7ff4a24afabbe28939ba403d36 rdf:first Nb48be472412445958430aae360f3b2be
36 rdf:rest rdf:nil
37 N7a79df54de7840de845fe32f42ba9a01 schema:name readcube_id
38 schema:value f1d8ed126e45cb907bc01a7046b8d8eb1ab03f8a9b41c492b666fbb190886b6e
39 rdf:type schema:PropertyValue
40 N8af18ac577274be6baaeb4ae15db0055 schema:affiliation https://www.grid.ac/institutes/grid.412761.7
41 schema:familyName Vasilenko
42 schema:givenName O. N.
43 rdf:type schema:Person
44 N925088d569bb4174b5271b07a20046bc schema:name doi
45 schema:value 10.1134/s1061830918110050
46 rdf:type schema:PropertyValue
47 Na6467c060e5949c0844f64bde21b74e8 rdf:first N8af18ac577274be6baaeb4ae15db0055
48 rdf:rest N54c64b7ff4a24afabbe28939ba403d36
49 Nac9dff55035647acb98a121e90832c6c schema:affiliation https://www.grid.ac/institutes/grid.412761.7
50 schema:familyName Kostin
51 schema:givenName V. N.
52 rdf:type schema:Person
53 Nb48be472412445958430aae360f3b2be schema:affiliation https://www.grid.ac/institutes/grid.494915.4
54 schema:familyName Sandomirskii
55 schema:givenName S. G.
56 rdf:type schema:Person
57 Nbbdfcc91c96545ceb7b2d0d237775787 schema:issueNumber 11
58 rdf:type schema:PublicationIssue
59 Nc920ecc1153e4beea0460c33bfda853a schema:name dimensions_id
60 schema:value pub.1111759047
61 rdf:type schema:PropertyValue
62 Nedae77aa60f74c3ba4bdc74fec7e63da schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 Nfa74c5c774de472fb9c9f938d9441c91 schema:volumeNumber 54
65 rdf:type schema:PublicationVolume
66 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
67 schema:name Engineering
68 rdf:type schema:DefinedTerm
69 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
70 schema:name Materials Engineering
71 rdf:type schema:DefinedTerm
72 sg:journal.1136012 schema:issn 1061-8309
73 1608-3385
74 schema:name Russian Journal of Nondestructive Testing
75 rdf:type schema:Periodical
76 sg:pub.10.1023/a:1016869501421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007988395
77 https://doi.org/10.1023/a:1016869501421
78 rdf:type schema:CreativeWork
79 sg:pub.10.1023/b:runt.0000036425.04474.f6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007022160
80 https://doi.org/10.1023/b:runt.0000036425.04474.f6
81 rdf:type schema:CreativeWork
82 sg:pub.10.1134/s1061830908100069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040526309
83 https://doi.org/10.1134/s1061830908100069
84 rdf:type schema:CreativeWork
85 sg:pub.10.1134/s1061830911020094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023634796
86 https://doi.org/10.1134/s1061830911020094
87 rdf:type schema:CreativeWork
88 sg:pub.10.1134/s1061830911090051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023112382
89 https://doi.org/10.1134/s1061830911090051
90 rdf:type schema:CreativeWork
91 sg:pub.10.1134/s1061830912070042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013210007
92 https://doi.org/10.1134/s1061830912070042
93 rdf:type schema:CreativeWork
94 https://www.grid.ac/institutes/grid.412761.7 schema:alternateName Ural Federal University
95 schema:name Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Yekaterinburg, Russia
96 Ural Federal University, 620002, Yekaterinburg, Russia
97 rdf:type schema:Organization
98 https://www.grid.ac/institutes/grid.494915.4 schema:alternateName The Joint Institute of Mechanical Engineering
99 schema:name Joint Institute of Mechanical Engineering, National Academy of Sciences of Belarus, 220072, Minsk, Belarus
100 rdf:type schema:Organization
 




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


...