Automatic Control System for Thermal State of Reverberatory Furnaces in Production of Nickel Alloys View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-05

AUTHORS

V. E. Quiroz Cabascango, V. Yu. Bazhin, S. A. Martynov, F. R. Ojeda Pardo

ABSTRACT

The paper describes the development of an automated digital system for monitoring and controlling the thermal regime of gas reverberatory furnaces for fire refining of nickel based on a mathematical model, which accounts for the control of medium-pressure burners. The specific features of the fuel combustion process and accompanying chemical reactions are considered; the chemical composition of the combustion products are analyzed for three different chemical compositions of natural gas; a mathematical modeling of the temperature field distribution is performed; the factors affecting the stability of the combustion process are considered; an algorithm has been developed to optimize the operation of the reverberatory furnace burners. New data were obtained regarding the chemical composition of the combustion products at various content ratios of natural gas and air in the temperature range from 94°C to 316°C. The thermal efficiency of the reverberatory furnace was calculated during the production of nickel alloys. The analytical results were used to derive the dependences of the temperature field distribution on the chemical composition of natural gas, which are necessary for creating an automatic control system for operating a reverberatory furnace based on the optimized control of the air-to-natural gas content ratio at a varying chemical composition of natural gas. More... »

PAGES

104-116

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11015-022-01304-3

DOI

http://dx.doi.org/10.1007/s11015-022-01304-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149154782


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Saint Petersburg Mining University, St. Petersburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.445945.d", 
          "name": [
            "Saint Petersburg Mining University, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cabascango", 
        "givenName": "V. E. Quiroz", 
        "id": "sg:person.015101271465.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101271465.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saint Petersburg Mining University, St. Petersburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.445945.d", 
          "name": [
            "Saint Petersburg Mining University, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bazhin", 
        "givenName": "V. Yu.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saint Petersburg Mining University, St. Petersburg, Russia", 
          "id": "http://www.grid.ac/institutes/grid.445945.d", 
          "name": [
            "Saint Petersburg Mining University, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martynov", 
        "givenName": "S. A.", 
        "id": "sg:person.013347172413.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013347172413.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Higher Polytechnic School of Chimborazo, Riobamba, Ecuador", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Higher Polytechnic School of Chimborazo, Riobamba, Ecuador"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pardo", 
        "givenName": "F. R. Ojeda", 
        "id": "sg:person.010644764535.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010644764535.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.3103/s0967091217070130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092340826", 
          "https://doi.org/10.3103/s0967091217070130"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-05", 
    "datePublishedReg": "2022-05-01", 
    "description": "The paper describes the development of an automated digital system for monitoring and controlling the thermal regime of gas reverberatory furnaces for fire refining of nickel based on a mathematical model, which accounts for the control of medium-pressure burners. The specific features of the fuel combustion process and accompanying chemical reactions are considered; the chemical composition of the combustion products are analyzed for three different chemical compositions of natural gas; a mathematical modeling of the temperature field distribution is performed; the factors affecting the stability of the combustion process are considered; an algorithm has been developed to optimize the operation of the reverberatory furnace burners. New data were obtained regarding the chemical composition of the combustion products at various content ratios of natural gas and air in the temperature range from 94\u00b0C to 316\u00b0C. The thermal efficiency of the reverberatory furnace was calculated during the production of nickel alloys. The analytical results were used to derive the dependences of the temperature field distribution on the chemical composition of natural gas, which are necessary for creating an automatic control system for operating a reverberatory furnace based on the optimized control of the air-to-natural gas content ratio at a varying chemical composition of natural gas.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11015-022-01304-3", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136341", 
        "issn": [
          "0026-0894", 
          "1573-8892"
        ], 
        "name": "Metallurgist", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "66"
      }
    ], 
    "keywords": [
      "temperature field distribution", 
      "reverberatory furnace", 
      "natural gas", 
      "automatic control system", 
      "combustion process", 
      "nickel alloys", 
      "combustion products", 
      "field distribution", 
      "control system", 
      "fuel combustion process", 
      "thermal efficiency", 
      "content ratio", 
      "fire refining", 
      "furnace", 
      "chemical composition", 
      "different chemical compositions", 
      "burner", 
      "alloy", 
      "temperature range", 
      "gas", 
      "mathematical model", 
      "mathematical modeling", 
      "chemical reactions", 
      "digital systems", 
      "thermal state", 
      "air", 
      "thermal regime", 
      "analytical results", 
      "system", 
      "nickel", 
      "refining", 
      "composition", 
      "process", 
      "ratio", 
      "operation", 
      "efficiency", 
      "modeling", 
      "stability", 
      "distribution", 
      "specific features", 
      "products", 
      "control", 
      "range", 
      "regime", 
      "monitoring", 
      "production", 
      "dependence", 
      "algorithm", 
      "model", 
      "results", 
      "features", 
      "reaction", 
      "development", 
      "state", 
      "data", 
      "factors", 
      "new data", 
      "paper"
    ], 
    "name": "Automatic Control System for Thermal State of Reverberatory Furnaces in Production of Nickel Alloys", 
    "pagination": "104-116", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1149154782"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11015-022-01304-3"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11015-022-01304-3", 
      "https://app.dimensions.ai/details/publication/pub.1149154782"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T21:08", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_920.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11015-022-01304-3"
  }
]
 

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/s11015-022-01304-3'

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/s11015-022-01304-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11015-022-01304-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11015-022-01304-3'


 

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

142 TRIPLES      21 PREDICATES      84 URIs      75 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11015-022-01304-3 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nc0508db10b8b417c9fb5d99ec9d94181
4 schema:citation sg:pub.10.3103/s0967091217070130
5 schema:datePublished 2022-05
6 schema:datePublishedReg 2022-05-01
7 schema:description The paper describes the development of an automated digital system for monitoring and controlling the thermal regime of gas reverberatory furnaces for fire refining of nickel based on a mathematical model, which accounts for the control of medium-pressure burners. The specific features of the fuel combustion process and accompanying chemical reactions are considered; the chemical composition of the combustion products are analyzed for three different chemical compositions of natural gas; a mathematical modeling of the temperature field distribution is performed; the factors affecting the stability of the combustion process are considered; an algorithm has been developed to optimize the operation of the reverberatory furnace burners. New data were obtained regarding the chemical composition of the combustion products at various content ratios of natural gas and air in the temperature range from 94°C to 316°C. The thermal efficiency of the reverberatory furnace was calculated during the production of nickel alloys. The analytical results were used to derive the dependences of the temperature field distribution on the chemical composition of natural gas, which are necessary for creating an automatic control system for operating a reverberatory furnace based on the optimized control of the air-to-natural gas content ratio at a varying chemical composition of natural gas.
8 schema:genre article
9 schema:isAccessibleForFree false
10 schema:isPartOf N8a768079d04a419b94272060d7305ee5
11 N9b3f0b2b3a5c465eb47da38422ad0cf5
12 sg:journal.1136341
13 schema:keywords air
14 algorithm
15 alloy
16 analytical results
17 automatic control system
18 burner
19 chemical composition
20 chemical reactions
21 combustion process
22 combustion products
23 composition
24 content ratio
25 control
26 control system
27 data
28 dependence
29 development
30 different chemical compositions
31 digital systems
32 distribution
33 efficiency
34 factors
35 features
36 field distribution
37 fire refining
38 fuel combustion process
39 furnace
40 gas
41 mathematical model
42 mathematical modeling
43 model
44 modeling
45 monitoring
46 natural gas
47 new data
48 nickel
49 nickel alloys
50 operation
51 paper
52 process
53 production
54 products
55 range
56 ratio
57 reaction
58 refining
59 regime
60 results
61 reverberatory furnace
62 specific features
63 stability
64 state
65 system
66 temperature field distribution
67 temperature range
68 thermal efficiency
69 thermal regime
70 thermal state
71 schema:name Automatic Control System for Thermal State of Reverberatory Furnaces in Production of Nickel Alloys
72 schema:pagination 104-116
73 schema:productId N7b001ca5706c4cf6825c0d00532ea0be
74 N8a688bd8bc544f2abfc592448af13ade
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149154782
76 https://doi.org/10.1007/s11015-022-01304-3
77 schema:sdDatePublished 2022-11-24T21:08
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher Nc8f7918c1a9b44c0b487536c535d5000
80 schema:url https://doi.org/10.1007/s11015-022-01304-3
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N065eeab32dc5434da6b292ee825c8139 rdf:first Nf541e3a8c928427086b35d7fe791e17e
85 rdf:rest N560f61af74214772b02e5ccb531d4053
86 N560f61af74214772b02e5ccb531d4053 rdf:first sg:person.013347172413.11
87 rdf:rest N9238895300b845abb61a2236308c38f5
88 N7b001ca5706c4cf6825c0d00532ea0be schema:name dimensions_id
89 schema:value pub.1149154782
90 rdf:type schema:PropertyValue
91 N8a688bd8bc544f2abfc592448af13ade schema:name doi
92 schema:value 10.1007/s11015-022-01304-3
93 rdf:type schema:PropertyValue
94 N8a768079d04a419b94272060d7305ee5 schema:issueNumber 1-2
95 rdf:type schema:PublicationIssue
96 N9238895300b845abb61a2236308c38f5 rdf:first sg:person.010644764535.27
97 rdf:rest rdf:nil
98 N9b3f0b2b3a5c465eb47da38422ad0cf5 schema:volumeNumber 66
99 rdf:type schema:PublicationVolume
100 Nc0508db10b8b417c9fb5d99ec9d94181 rdf:first sg:person.015101271465.40
101 rdf:rest N065eeab32dc5434da6b292ee825c8139
102 Nc8f7918c1a9b44c0b487536c535d5000 schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 Nf541e3a8c928427086b35d7fe791e17e schema:affiliation grid-institutes:grid.445945.d
105 schema:familyName Bazhin
106 schema:givenName V. Yu.
107 rdf:type schema:Person
108 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
109 schema:name Engineering
110 rdf:type schema:DefinedTerm
111 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
112 schema:name Interdisciplinary Engineering
113 rdf:type schema:DefinedTerm
114 sg:journal.1136341 schema:issn 0026-0894
115 1573-8892
116 schema:name Metallurgist
117 schema:publisher Springer Nature
118 rdf:type schema:Periodical
119 sg:person.010644764535.27 schema:affiliation grid-institutes:None
120 schema:familyName Pardo
121 schema:givenName F. R. Ojeda
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010644764535.27
123 rdf:type schema:Person
124 sg:person.013347172413.11 schema:affiliation grid-institutes:grid.445945.d
125 schema:familyName Martynov
126 schema:givenName S. A.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013347172413.11
128 rdf:type schema:Person
129 sg:person.015101271465.40 schema:affiliation grid-institutes:grid.445945.d
130 schema:familyName Cabascango
131 schema:givenName V. E. Quiroz
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101271465.40
133 rdf:type schema:Person
134 sg:pub.10.3103/s0967091217070130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092340826
135 https://doi.org/10.3103/s0967091217070130
136 rdf:type schema:CreativeWork
137 grid-institutes:None schema:alternateName Higher Polytechnic School of Chimborazo, Riobamba, Ecuador
138 schema:name Higher Polytechnic School of Chimborazo, Riobamba, Ecuador
139 rdf:type schema:Organization
140 grid-institutes:grid.445945.d schema:alternateName Saint Petersburg Mining University, St. Petersburg, Russia
141 schema:name Saint Petersburg Mining University, St. Petersburg, Russia
142 rdf:type schema:Organization
 




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


...