Modelling of the arc plasma behaviour in the VAR process View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-12

AUTHORS

P. Chapelle, H. El Mir, J. P. Bellot, A. Jardy, D. Ablitzer, D. Lasalmonie

ABSTRACT

As part of a complete theoretical description of the behaviour of the electric arc in the vacuum arc remelting process, a model has been developed for the column of plasma generated by a single cluster of cathode spots. The model combines a kinetic approach, taking into account the formation of the plasma in the cathodic region, and a hydrodynamic approach, describing the expansion of the plasma in the vacuum between the electrodes. The kinetic model is based on a system of Boltzmann-Vlasov-Poisson equations and uses a particle-type simulation procedure, combining the PIC (Particle In Cell) and FPM (Finite Point Set Method) methods. In the two-dimensional hydrodynamic model, the plasma is represented as a mixture of two continuous fluids (the electrons and the ions), each described by a system of coupled transport equations. Finally, a simplified method has been defined for calculating the electric current density and the energy flux density transmitted by the plasma to the anode. In order to achieve complete modelling of the electric arc in the VAR furnace, the movement of all the clusters on the cathode surface has been simulated, based on a detailed experimental study performed on industrial plant. The results of the numerical simulation presented are consistent with a certain number of experimental results available in the literature. In particular, the model predicts a percentage of the electric power of the arc transmitted to the anode (25%) in good agreement with the value indicated in the literature. More... »

PAGES

7145-7152

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/b:jmsc.0000048725.93730.ba

DOI

http://dx.doi.org/10.1023/b:jmsc.0000048725.93730.ba

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007707978


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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "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": "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.463793.c", 
          "name": [
            "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chapelle", 
        "givenName": "P.", 
        "id": "sg:person.015233407777.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015233407777.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.463793.c", 
          "name": [
            "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "El Mir", 
        "givenName": "H.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.463793.c", 
          "name": [
            "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bellot", 
        "givenName": "J. P.", 
        "id": "sg:person.013252275411.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013252275411.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.463793.c", 
          "name": [
            "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jardy", 
        "givenName": "A.", 
        "id": "sg:person.012462272710.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012462272710.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.463793.c", 
          "name": [
            "Laboratoire de Science et G\u00e9nie des Mat\u00e9riaux et de M\u00e9tallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ablitzer", 
        "givenName": "D.", 
        "id": "sg:person.014205214457.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014205214457.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre de Recherches de la Compagnie Europ\u00e9enne du Zirconium CEZUS, 73403, Ugine Cedex, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Centre de Recherches de la Compagnie Europ\u00e9enne du Zirconium CEZUS, 73403, Ugine Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lasalmonie", 
        "givenName": "D.", 
        "id": "sg:person.015272440533.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015272440533.35"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/1.1259051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041197886", 
          "https://doi.org/10.1134/1.1259051"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-12", 
    "datePublishedReg": "2004-12-01", 
    "description": "As part of a complete theoretical description of the behaviour of the electric arc in the vacuum arc remelting process, a model has been developed for the column of plasma generated by a single cluster of cathode spots. The model combines a kinetic approach, taking into account the formation of the plasma in the cathodic region, and a hydrodynamic approach, describing the expansion of the plasma in the vacuum between the electrodes. The kinetic model is based on a system of Boltzmann-Vlasov-Poisson equations and uses a particle-type simulation procedure, combining the PIC (Particle In Cell) and FPM (Finite Point Set Method) methods. In the two-dimensional hydrodynamic model, the plasma is represented as a mixture of two continuous fluids (the electrons and the ions), each described by a system of coupled transport equations. Finally, a simplified method has been defined for calculating the electric current density and the energy flux density transmitted by the plasma to the anode. In order to achieve complete modelling of the electric arc in the VAR furnace, the movement of all the clusters on the cathode surface has been simulated, based on a detailed experimental study performed on industrial plant. The results of the numerical simulation presented are consistent with a certain number of experimental results available in the literature. In particular, the model predicts a percentage of the electric power of the arc transmitted to the anode (25%) in good agreement with the value indicated in the literature.", 
    "genre": "article", 
    "id": "sg:pub.10.1023/b:jmsc.0000048725.93730.ba", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "24", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "39"
      }
    ], 
    "keywords": [
      "electric arc", 
      "arc plasma behavior", 
      "two-dimensional hydrodynamic model", 
      "column of plasma", 
      "electric current density", 
      "VAR furnace", 
      "electric power", 
      "continuous fluid", 
      "energy flux density", 
      "hydrodynamic model", 
      "detailed experimental study", 
      "FPM method", 
      "numerical simulations", 
      "current density", 
      "transport equation", 
      "complete modelling", 
      "industrial plants", 
      "hydrodynamic approach", 
      "simulation procedure", 
      "flux density", 
      "plasma behavior", 
      "kinetic model", 
      "experimental study", 
      "VAR process", 
      "anode", 
      "cathodic region", 
      "cathode surface", 
      "simplified method", 
      "experimental results", 
      "Poisson equation", 
      "good agreement", 
      "Boltzmann-Vlasov", 
      "vacuum", 
      "furnace", 
      "complete theoretical description", 
      "cathode spot", 
      "kinetic approach", 
      "density", 
      "equations", 
      "theoretical description", 
      "behavior", 
      "arc", 
      "simulations", 
      "model", 
      "electrode", 
      "process", 
      "surface", 
      "modelling", 
      "system", 
      "method", 
      "fluid", 
      "power", 
      "plasma", 
      "mixture", 
      "column", 
      "results", 
      "agreement", 
      "approach", 
      "order", 
      "certain number", 
      "account", 
      "formation", 
      "expansion", 
      "plants", 
      "values", 
      "spots", 
      "description", 
      "PIC", 
      "procedure", 
      "part", 
      "region", 
      "movement", 
      "literature", 
      "number", 
      "study", 
      "percentage", 
      "clusters", 
      "single cluster", 
      "particle-type simulation procedure"
    ], 
    "name": "Modelling of the arc plasma behaviour in the VAR process", 
    "pagination": "7145-7152", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007707978"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/b:jmsc.0000048725.93730.ba"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/b:jmsc.0000048725.93730.ba", 
      "https://app.dimensions.ai/details/publication/pub.1007707978"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:13", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_386.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1023/b:jmsc.0000048725.93730.ba"
  }
]
 

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.10.1023/b:jmsc.0000048725.93730.ba'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/b:jmsc.0000048725.93730.ba'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/b:jmsc.0000048725.93730.ba'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/b:jmsc.0000048725.93730.ba'


 

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

178 TRIPLES      22 PREDICATES      106 URIs      97 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/b:jmsc.0000048725.93730.ba schema:about anzsrc-for:03
2 anzsrc-for:09
3 schema:author N9fee117272cb41a8a7035e2511cf28b7
4 schema:citation sg:pub.10.1134/1.1259051
5 schema:datePublished 2004-12
6 schema:datePublishedReg 2004-12-01
7 schema:description As part of a complete theoretical description of the behaviour of the electric arc in the vacuum arc remelting process, a model has been developed for the column of plasma generated by a single cluster of cathode spots. The model combines a kinetic approach, taking into account the formation of the plasma in the cathodic region, and a hydrodynamic approach, describing the expansion of the plasma in the vacuum between the electrodes. The kinetic model is based on a system of Boltzmann-Vlasov-Poisson equations and uses a particle-type simulation procedure, combining the PIC (Particle In Cell) and FPM (Finite Point Set Method) methods. In the two-dimensional hydrodynamic model, the plasma is represented as a mixture of two continuous fluids (the electrons and the ions), each described by a system of coupled transport equations. Finally, a simplified method has been defined for calculating the electric current density and the energy flux density transmitted by the plasma to the anode. In order to achieve complete modelling of the electric arc in the VAR furnace, the movement of all the clusters on the cathode surface has been simulated, based on a detailed experimental study performed on industrial plant. The results of the numerical simulation presented are consistent with a certain number of experimental results available in the literature. In particular, the model predicts a percentage of the electric power of the arc transmitted to the anode (25%) in good agreement with the value indicated in the literature.
8 schema:genre article
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N3f206db9802e4caca2a436d0710e08be
12 Nadba712f3538440581a230a1f8c80db8
13 sg:journal.1312116
14 schema:keywords Boltzmann-Vlasov
15 FPM method
16 PIC
17 Poisson equation
18 VAR furnace
19 VAR process
20 account
21 agreement
22 anode
23 approach
24 arc
25 arc plasma behavior
26 behavior
27 cathode spot
28 cathode surface
29 cathodic region
30 certain number
31 clusters
32 column
33 column of plasma
34 complete modelling
35 complete theoretical description
36 continuous fluid
37 current density
38 density
39 description
40 detailed experimental study
41 electric arc
42 electric current density
43 electric power
44 electrode
45 energy flux density
46 equations
47 expansion
48 experimental results
49 experimental study
50 fluid
51 flux density
52 formation
53 furnace
54 good agreement
55 hydrodynamic approach
56 hydrodynamic model
57 industrial plants
58 kinetic approach
59 kinetic model
60 literature
61 method
62 mixture
63 model
64 modelling
65 movement
66 number
67 numerical simulations
68 order
69 part
70 particle-type simulation procedure
71 percentage
72 plants
73 plasma
74 plasma behavior
75 power
76 procedure
77 process
78 region
79 results
80 simplified method
81 simulation procedure
82 simulations
83 single cluster
84 spots
85 study
86 surface
87 system
88 theoretical description
89 transport equation
90 two-dimensional hydrodynamic model
91 vacuum
92 values
93 schema:name Modelling of the arc plasma behaviour in the VAR process
94 schema:pagination 7145-7152
95 schema:productId N07cb16abbf60476991d2efa7dcb699ca
96 Na236a991c09645ca80d0a8af815f2309
97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007707978
98 https://doi.org/10.1023/b:jmsc.0000048725.93730.ba
99 schema:sdDatePublished 2022-01-01T18:13
100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
101 schema:sdPublisher N68ec422e8f8d49a4b8f18b61738b8578
102 schema:url https://doi.org/10.1023/b:jmsc.0000048725.93730.ba
103 sgo:license sg:explorer/license/
104 sgo:sdDataset articles
105 rdf:type schema:ScholarlyArticle
106 N07cb16abbf60476991d2efa7dcb699ca schema:name doi
107 schema:value 10.1023/b:jmsc.0000048725.93730.ba
108 rdf:type schema:PropertyValue
109 N1f66909f7e534205a9222921ffdada0f rdf:first sg:person.015272440533.35
110 rdf:rest rdf:nil
111 N3f206db9802e4caca2a436d0710e08be schema:issueNumber 24
112 rdf:type schema:PublicationIssue
113 N68ec422e8f8d49a4b8f18b61738b8578 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N69291ed54f164238a10c51d78f5379f7 rdf:first sg:person.014205214457.50
116 rdf:rest N1f66909f7e534205a9222921ffdada0f
117 N932851ea0bc64ed28e0dbb1c8fb7de7f schema:affiliation grid-institutes:grid.463793.c
118 schema:familyName El Mir
119 schema:givenName H.
120 rdf:type schema:Person
121 N9fee117272cb41a8a7035e2511cf28b7 rdf:first sg:person.015233407777.69
122 rdf:rest Nebde1a9fbd174e3aad0abbf37ea4ee39
123 Na236a991c09645ca80d0a8af815f2309 schema:name dimensions_id
124 schema:value pub.1007707978
125 rdf:type schema:PropertyValue
126 Nadba712f3538440581a230a1f8c80db8 schema:volumeNumber 39
127 rdf:type schema:PublicationVolume
128 Nebde1a9fbd174e3aad0abbf37ea4ee39 rdf:first N932851ea0bc64ed28e0dbb1c8fb7de7f
129 rdf:rest Nffdbab1b18eb4357b2e9ff5cbb294949
130 Nf50e7b3cf7324421bc5b5e57b65eaebf rdf:first sg:person.012462272710.40
131 rdf:rest N69291ed54f164238a10c51d78f5379f7
132 Nffdbab1b18eb4357b2e9ff5cbb294949 rdf:first sg:person.013252275411.07
133 rdf:rest Nf50e7b3cf7324421bc5b5e57b65eaebf
134 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
135 schema:name Chemical Sciences
136 rdf:type schema:DefinedTerm
137 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
138 schema:name Engineering
139 rdf:type schema:DefinedTerm
140 sg:journal.1312116 schema:issn 0022-2461
141 1573-4811
142 schema:name Journal of Materials Science
143 schema:publisher Springer Nature
144 rdf:type schema:Periodical
145 sg:person.012462272710.40 schema:affiliation grid-institutes:grid.463793.c
146 schema:familyName Jardy
147 schema:givenName A.
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012462272710.40
149 rdf:type schema:Person
150 sg:person.013252275411.07 schema:affiliation grid-institutes:grid.463793.c
151 schema:familyName Bellot
152 schema:givenName J. P.
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013252275411.07
154 rdf:type schema:Person
155 sg:person.014205214457.50 schema:affiliation grid-institutes:grid.463793.c
156 schema:familyName Ablitzer
157 schema:givenName D.
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014205214457.50
159 rdf:type schema:Person
160 sg:person.015233407777.69 schema:affiliation grid-institutes:grid.463793.c
161 schema:familyName Chapelle
162 schema:givenName P.
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015233407777.69
164 rdf:type schema:Person
165 sg:person.015272440533.35 schema:affiliation grid-institutes:None
166 schema:familyName Lasalmonie
167 schema:givenName D.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015272440533.35
169 rdf:type schema:Person
170 sg:pub.10.1134/1.1259051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041197886
171 https://doi.org/10.1134/1.1259051
172 rdf:type schema:CreativeWork
173 grid-institutes:None schema:alternateName Centre de Recherches de la Compagnie Européenne du Zirconium CEZUS, 73403, Ugine Cedex, France
174 schema:name Centre de Recherches de la Compagnie Européenne du Zirconium CEZUS, 73403, Ugine Cedex, France
175 rdf:type schema:Organization
176 grid-institutes:grid.463793.c schema:alternateName Laboratoire de Science et Génie des Matériaux et de Métallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France
177 schema:name Laboratoire de Science et Génie des Matériaux et de Métallurgie (UMR 7584), Ecole des Mines, Parc de Saurupt, 54042, Nancy Cedex, France
178 rdf:type schema:Organization
 




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


...