Structure, Magnetic Properties and Magnetic Impedance of Fast Quenched Ribbons of Alloys Based on FINEMET in the Initial State and ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-10

AUTHORS

E. A. Stepanova, S. O. Volchkov, V. A. Lukshina, D. A. Shishkin, D. M. Khudyakova, A. Larrañaga, G. V. Kurlyandskaya

ABSTRACT

–The effect of heat treatment (HT) on the structural features, magnetic properties, and magnetic impedance of rapidly quenched Fe73.5Si13.5B9Nb3Cu1 ribbons and doped ribbons, in which 10 wt % iron is replaced by either cobalt, nickel, or manganese, is studied in this paper. Cobalt ribbons as a result of HT at a constant temperature showed a significant increase in the value of maximum magnetic induction. The magnetic and magnetic-impedance properties, studied in a wide range of alternating current frequencies from 1 to 400 MHz, showed a significant change in the features of effective magnetic anisotropy and high-frequency responses after HT. A comparative analysis of the results obtained for samples of various compositions can be useful both for understanding the features of the formation of effective magnetic anisotropy in nanocrystalline alloys and from the point of view of practical applications in the search for optimal physicochemical parameters of materials for sensors of low magnetic fields. More... »

PAGES

961-967

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0031918x20090082

DOI

http://dx.doi.org/10.1134/s0031918x20090082

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1133539959


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": "Ural Federal University, 620002, Ekaterinburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.412761.7", 
          "name": [
            "Ural Federal University, 620002, Ekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stepanova", 
        "givenName": "E. A.", 
        "id": "sg:person.012436313242.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012436313242.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ural Federal University, 620002, Ekaterinburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.412761.7", 
          "name": [
            "Ural Federal University, 620002, Ekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Volchkov", 
        "givenName": "S. O.", 
        "id": "sg:person.012270523747.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012270523747.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Ekaterinburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.426536.0", 
          "name": [
            "Ural Federal University, 620002, Ekaterinburg, Russia", 
            "Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Ekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lukshina", 
        "givenName": "V. A.", 
        "id": "sg:person.015101525461.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101525461.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Ekaterinburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.426536.0", 
          "name": [
            "Ural Federal University, 620002, Ekaterinburg, Russia", 
            "Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Ekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shishkin", 
        "givenName": "D. A.", 
        "id": "sg:person.013143621400.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013143621400.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ural Federal University, 620002, Ekaterinburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.412761.7", 
          "name": [
            "Ural Federal University, 620002, Ekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khudyakova", 
        "givenName": "D. M.", 
        "id": "sg:person.011706473517.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706473517.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad del Pais Vasco and BCMaterials UPV-EHU, 48940, Leioa, Spain", 
          "id": "http://www.grid.ac/institutes/grid.11480.3c", 
          "name": [
            "Universidad del Pais Vasco and BCMaterials UPV-EHU, 48940, Leioa, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Larra\u00f1aga", 
        "givenName": "A.", 
        "id": "sg:person.01057671625.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057671625.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad del Pais Vasco and BCMaterials UPV-EHU, 48940, Leioa, Spain", 
          "id": "http://www.grid.ac/institutes/grid.11480.3c", 
          "name": [
            "Ural Federal University, 620002, Ekaterinburg, Russia", 
            "Universidad del Pais Vasco and BCMaterials UPV-EHU, 48940, Leioa, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kurlyandskaya", 
        "givenName": "G. V.", 
        "id": "sg:person.01044610507.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044610507.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0031918x20010056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1125688828", 
          "https://doi.org/10.1134/s0031918x20010056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s106287381402021x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015997236", 
          "https://doi.org/10.3103/s106287381402021x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061830909060023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042485869", 
          "https://doi.org/10.1134/s1061830909060023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0031918x15070108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030088862", 
          "https://doi.org/10.1134/s0031918x15070108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0031918x06090055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038175521", 
          "https://doi.org/10.1134/s0031918x06090055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0031918x18120190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1112218825", 
          "https://doi.org/10.1134/s0031918x18120190"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-10", 
    "datePublishedReg": "2020-10-01", 
    "description": "Abstract\u2013The effect of heat treatment (HT) on the structural features, magnetic properties, and magnetic impedance of rapidly quenched Fe73.5Si13.5B9Nb3Cu1 ribbons and doped ribbons, in which 10 wt % iron is replaced by either cobalt, nickel, or manganese, is studied in this paper. Cobalt ribbons as a result of HT at a constant temperature showed a significant increase in the value of maximum magnetic induction. The magnetic and magnetic-impedance properties, studied in a wide range of alternating current frequencies from 1\u00a0to 400 MHz, showed a significant change in the features of effective magnetic anisotropy and high-frequency responses after HT. A comparative analysis of the results obtained for samples of various compositions can be useful both for understanding the features of the formation of effective magnetic anisotropy in nanocrystalline alloys and from the point of view of practical applications in the search for optimal physicochemical parameters of materials for sensors of low magnetic fields.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s0031918x20090082", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1295452", 
        "issn": [
          "0015-3230", 
          "0031-918X"
        ], 
        "name": "Physics of Metals and Metallography", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "121"
      }
    ], 
    "keywords": [
      "effective magnetic anisotropy", 
      "magnetic impedance", 
      "magnetic anisotropy", 
      "magnetic properties", 
      "heat treatment", 
      "low magnetic fields", 
      "maximum magnetic induction", 
      "magnetic field", 
      "high frequency response", 
      "magnetic induction", 
      "nanocrystalline alloys", 
      "initial state", 
      "optimal physicochemical parameters", 
      "quenched ribbons", 
      "alloy", 
      "current frequency", 
      "anisotropy", 
      "practical applications", 
      "impedance", 
      "constant temperature", 
      "ribbons", 
      "point of view", 
      "properties", 
      "Finemet", 
      "sensors", 
      "wide range", 
      "nickel", 
      "MHz", 
      "field", 
      "temperature", 
      "wt", 
      "materials", 
      "parameters", 
      "cobalt", 
      "applications", 
      "point", 
      "features", 
      "results", 
      "iron", 
      "range", 
      "structure", 
      "frequency", 
      "structural features", 
      "manganese", 
      "state", 
      "comparative analysis", 
      "physicochemical parameters", 
      "composition", 
      "formation", 
      "search", 
      "values", 
      "increase", 
      "effect", 
      "analysis", 
      "samples", 
      "view", 
      "significant changes", 
      "significant increase", 
      "changes", 
      "response", 
      "treatment", 
      "induction", 
      "paper"
    ], 
    "name": "Structure, Magnetic Properties and Magnetic Impedance of Fast Quenched Ribbons of Alloys Based on FINEMET in the Initial State and After Heat Treatment", 
    "pagination": "961-967", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1133539959"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0031918x20090082"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0031918x20090082", 
      "https://app.dimensions.ai/details/publication/pub.1133539959"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_859.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s0031918x20090082"
  }
]
 

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/s0031918x20090082'

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/s0031918x20090082'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0031918x20090082'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0031918x20090082'


 

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

195 TRIPLES      22 PREDICATES      95 URIs      81 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0031918x20090082 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author Nd5a12c9957b24acca9e4210520916961
4 schema:citation sg:pub.10.1134/s0031918x06090055
5 sg:pub.10.1134/s0031918x15070108
6 sg:pub.10.1134/s0031918x18120190
7 sg:pub.10.1134/s0031918x20010056
8 sg:pub.10.1134/s1061830909060023
9 sg:pub.10.3103/s106287381402021x
10 schema:datePublished 2020-10
11 schema:datePublishedReg 2020-10-01
12 schema:description Abstract–The effect of heat treatment (HT) on the structural features, magnetic properties, and magnetic impedance of rapidly quenched Fe73.5Si13.5B9Nb3Cu1 ribbons and doped ribbons, in which 10 wt % iron is replaced by either cobalt, nickel, or manganese, is studied in this paper. Cobalt ribbons as a result of HT at a constant temperature showed a significant increase in the value of maximum magnetic induction. The magnetic and magnetic-impedance properties, studied in a wide range of alternating current frequencies from 1 to 400 MHz, showed a significant change in the features of effective magnetic anisotropy and high-frequency responses after HT. A comparative analysis of the results obtained for samples of various compositions can be useful both for understanding the features of the formation of effective magnetic anisotropy in nanocrystalline alloys and from the point of view of practical applications in the search for optimal physicochemical parameters of materials for sensors of low magnetic fields.
13 schema:genre article
14 schema:inLanguage en
15 schema:isAccessibleForFree false
16 schema:isPartOf N1918c7bed3e44741828a295776d4818a
17 Nf31688ed4b244518850c60b591a72afa
18 sg:journal.1295452
19 schema:keywords Finemet
20 MHz
21 alloy
22 analysis
23 anisotropy
24 applications
25 changes
26 cobalt
27 comparative analysis
28 composition
29 constant temperature
30 current frequency
31 effect
32 effective magnetic anisotropy
33 features
34 field
35 formation
36 frequency
37 heat treatment
38 high frequency response
39 impedance
40 increase
41 induction
42 initial state
43 iron
44 low magnetic fields
45 magnetic anisotropy
46 magnetic field
47 magnetic impedance
48 magnetic induction
49 magnetic properties
50 manganese
51 materials
52 maximum magnetic induction
53 nanocrystalline alloys
54 nickel
55 optimal physicochemical parameters
56 paper
57 parameters
58 physicochemical parameters
59 point
60 point of view
61 practical applications
62 properties
63 quenched ribbons
64 range
65 response
66 results
67 ribbons
68 samples
69 search
70 sensors
71 significant changes
72 significant increase
73 state
74 structural features
75 structure
76 temperature
77 treatment
78 values
79 view
80 wide range
81 wt
82 schema:name Structure, Magnetic Properties and Magnetic Impedance of Fast Quenched Ribbons of Alloys Based on FINEMET in the Initial State and After Heat Treatment
83 schema:pagination 961-967
84 schema:productId N6c2d0fb1976a4a0a908ac3cf083573d4
85 N88a4426c5e7e45b9bd4091d4ccb117e4
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1133539959
87 https://doi.org/10.1134/s0031918x20090082
88 schema:sdDatePublished 2022-05-10T10:26
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher Nb220bf8a05a645ae92aa9e203c1e4e1e
91 schema:url https://doi.org/10.1134/s0031918x20090082
92 sgo:license sg:explorer/license/
93 sgo:sdDataset articles
94 rdf:type schema:ScholarlyArticle
95 N1918c7bed3e44741828a295776d4818a schema:issueNumber 10
96 rdf:type schema:PublicationIssue
97 N290dd3ef1d254d399301f0523f6f6b54 rdf:first sg:person.01057671625.91
98 rdf:rest N2e2742dde7d24d6a801cb62a4fc540a7
99 N2e2742dde7d24d6a801cb62a4fc540a7 rdf:first sg:person.01044610507.37
100 rdf:rest rdf:nil
101 N3aa9092b92084e56bef4c1d6336358b0 rdf:first sg:person.013143621400.41
102 rdf:rest N61fa620a32c648fb940ff374fdfef605
103 N61fa620a32c648fb940ff374fdfef605 rdf:first sg:person.011706473517.97
104 rdf:rest N290dd3ef1d254d399301f0523f6f6b54
105 N6c2d0fb1976a4a0a908ac3cf083573d4 schema:name doi
106 schema:value 10.1134/s0031918x20090082
107 rdf:type schema:PropertyValue
108 N88a4426c5e7e45b9bd4091d4ccb117e4 schema:name dimensions_id
109 schema:value pub.1133539959
110 rdf:type schema:PropertyValue
111 Nb220bf8a05a645ae92aa9e203c1e4e1e schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Nc7476b77f1dd432d9cd51d2b0503c29e rdf:first sg:person.015101525461.43
114 rdf:rest N3aa9092b92084e56bef4c1d6336358b0
115 Nd5a12c9957b24acca9e4210520916961 rdf:first sg:person.012436313242.75
116 rdf:rest Ne4965393374140418c82bc917a3b7383
117 Ne4965393374140418c82bc917a3b7383 rdf:first sg:person.012270523747.31
118 rdf:rest Nc7476b77f1dd432d9cd51d2b0503c29e
119 Nf31688ed4b244518850c60b591a72afa schema:volumeNumber 121
120 rdf:type schema:PublicationVolume
121 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
122 schema:name Engineering
123 rdf:type schema:DefinedTerm
124 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
125 schema:name Materials Engineering
126 rdf:type schema:DefinedTerm
127 sg:journal.1295452 schema:issn 0015-3230
128 0031-918X
129 schema:name Physics of Metals and Metallography
130 schema:publisher Pleiades Publishing
131 rdf:type schema:Periodical
132 sg:person.01044610507.37 schema:affiliation grid-institutes:grid.11480.3c
133 schema:familyName Kurlyandskaya
134 schema:givenName G. V.
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044610507.37
136 rdf:type schema:Person
137 sg:person.01057671625.91 schema:affiliation grid-institutes:grid.11480.3c
138 schema:familyName Larrañaga
139 schema:givenName A.
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057671625.91
141 rdf:type schema:Person
142 sg:person.011706473517.97 schema:affiliation grid-institutes:grid.412761.7
143 schema:familyName Khudyakova
144 schema:givenName D. M.
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011706473517.97
146 rdf:type schema:Person
147 sg:person.012270523747.31 schema:affiliation grid-institutes:grid.412761.7
148 schema:familyName Volchkov
149 schema:givenName S. O.
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012270523747.31
151 rdf:type schema:Person
152 sg:person.012436313242.75 schema:affiliation grid-institutes:grid.412761.7
153 schema:familyName Stepanova
154 schema:givenName E. A.
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012436313242.75
156 rdf:type schema:Person
157 sg:person.013143621400.41 schema:affiliation grid-institutes:grid.426536.0
158 schema:familyName Shishkin
159 schema:givenName D. A.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013143621400.41
161 rdf:type schema:Person
162 sg:person.015101525461.43 schema:affiliation grid-institutes:grid.426536.0
163 schema:familyName Lukshina
164 schema:givenName V. A.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101525461.43
166 rdf:type schema:Person
167 sg:pub.10.1134/s0031918x06090055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038175521
168 https://doi.org/10.1134/s0031918x06090055
169 rdf:type schema:CreativeWork
170 sg:pub.10.1134/s0031918x15070108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030088862
171 https://doi.org/10.1134/s0031918x15070108
172 rdf:type schema:CreativeWork
173 sg:pub.10.1134/s0031918x18120190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112218825
174 https://doi.org/10.1134/s0031918x18120190
175 rdf:type schema:CreativeWork
176 sg:pub.10.1134/s0031918x20010056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125688828
177 https://doi.org/10.1134/s0031918x20010056
178 rdf:type schema:CreativeWork
179 sg:pub.10.1134/s1061830909060023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042485869
180 https://doi.org/10.1134/s1061830909060023
181 rdf:type schema:CreativeWork
182 sg:pub.10.3103/s106287381402021x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015997236
183 https://doi.org/10.3103/s106287381402021x
184 rdf:type schema:CreativeWork
185 grid-institutes:grid.11480.3c schema:alternateName Universidad del Pais Vasco and BCMaterials UPV-EHU, 48940, Leioa, Spain
186 schema:name Universidad del Pais Vasco and BCMaterials UPV-EHU, 48940, Leioa, Spain
187 Ural Federal University, 620002, Ekaterinburg, Russia
188 rdf:type schema:Organization
189 grid-institutes:grid.412761.7 schema:alternateName Ural Federal University, 620002, Ekaterinburg, Russia
190 schema:name Ural Federal University, 620002, Ekaterinburg, Russia
191 rdf:type schema:Organization
192 grid-institutes:grid.426536.0 schema:alternateName Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Ekaterinburg, Russia
193 schema:name Mikheev Institute of Metal Physics, Ural Branch, Russian Academy of Sciences, 620108, Ekaterinburg, Russia
194 Ural Federal University, 620002, Ekaterinburg, Russia
195 rdf:type schema:Organization
 




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


...