Upgrading of Iron Concentrate by Fluidized-Bed Magnetizing Roasting of Siderite to Magnetite in CO–H2–N2 Atmosphere View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-06

AUTHORS

Qiang Zhao, Jilai Xue, Wen Chen

ABSTRACT

Efficient use of abundant low-grade siderite ores can potentially mitigate the shortage of iron ore in the iron and steel industry in China. In this work, the beneficiation of siderite fines containing high levels of carbonates was studied using a combined fluidized-bed magnetizing roasting process. The siderite was almost completely converted into magnetite under the optimum conditions of preheating at 550 °C for 30 s followed by magnetizing roasting at 550 °C for 60 s at 0.5 m/s gas fluidization velocity in a 13.3% CO + 6.7% H2 + 80% N2 atmosphere. Magnetic separation was optimized using a fineness of that grind of 89.2% of the material passing 0.074 mm and magnetic field intensity 0.2 T. Comparative trials confirmed that the enhanced measures proposed, including optimizing gas fluidization velocity, preheating of the materials, the use of a mixed reducing gas, and selection of the optimum particle size of raw materials, could improve beneficiation of siderite. A high-grade magnetic concentrate containing 62.6 wt% iron grade with an iron recovery of 89.2% was achieved. The results demonstrated an effective process to utilize siderite ores. More... »

PAGES

1381-1391

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12666-019-01636-w

DOI

http://dx.doi.org/10.1007/s12666-019-01636-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112587704


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/2008/0914", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Resources Engineering and Extractive Metallurgy", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, 100083, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.69775.3a", 
          "name": [
            "School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, 100083, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Qiang", 
        "id": "sg:person.07412014403.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07412014403.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, 100083, Beijing, China", 
          "id": "http://www.grid.ac/institutes/grid.69775.3a", 
          "name": [
            "School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, 100083, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xue", 
        "givenName": "Jilai", 
        "id": "sg:person.011550725145.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011550725145.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Changsha Research Institute of Mining and Metallurgy Co., LTD, 410083, Changsha, China", 
          "id": "http://www.grid.ac/institutes/grid.495316.c", 
          "name": [
            "Changsha Research Institute of Mining and Metallurgy Co., LTD, 410083, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Wen", 
        "id": "sg:person.013327726137.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013327726137.04"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2019-03-06", 
    "datePublishedReg": "2019-03-06", 
    "description": "Efficient use of abundant low-grade siderite ores can potentially mitigate the shortage of iron ore in the iron and steel industry in China. In this work, the beneficiation of siderite fines containing high levels of carbonates was studied using a combined fluidized-bed magnetizing roasting process. The siderite was almost completely converted into magnetite under the optimum conditions of preheating at 550\u00a0\u00b0C for 30\u00a0s followed by magnetizing roasting at 550\u00a0\u00b0C for 60\u00a0s at 0.5\u00a0m/s gas fluidization velocity in a 13.3% CO\u2009+\u20096.7% H2\u2009+\u200980% N2 atmosphere. Magnetic separation was optimized using a fineness of that grind of 89.2% of the material passing 0.074\u00a0mm and magnetic field intensity 0.2\u00a0T. Comparative trials confirmed that the enhanced measures proposed, including optimizing gas fluidization velocity, preheating of the materials, the use of a mixed reducing gas, and selection of the optimum particle size of raw materials, could improve beneficiation of siderite. A high-grade magnetic concentrate containing 62.6\u00a0wt% iron grade with an iron recovery of 89.2% was achieved. The results demonstrated an effective process to utilize siderite ores.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12666-019-01636-w", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136517", 
        "issn": [
          "0972-2815", 
          "0975-1645"
        ], 
        "name": "Transactions of the Indian Institute of Metals", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "72"
      }
    ], 
    "keywords": [
      "gas fluidization velocity", 
      "fluidization velocity", 
      "siderite ore", 
      "optimum particle size", 
      "iron concentrate", 
      "magnetic concentrate", 
      "iron recovery", 
      "iron grade", 
      "steel industry", 
      "magnetic separation", 
      "iron ore", 
      "particle size", 
      "effective process", 
      "N2 atmosphere", 
      "optimum conditions", 
      "beneficiation", 
      "raw materials", 
      "ore", 
      "materials", 
      "velocity", 
      "magnetizing", 
      "atmosphere", 
      "fineness", 
      "magnetite", 
      "efficient use", 
      "gas", 
      "siderite", 
      "grind", 
      "fines", 
      "process", 
      "concentrate", 
      "separation", 
      "H2", 
      "industry", 
      "CO", 
      "iron", 
      "conditions", 
      "work", 
      "size", 
      "carbonate", 
      "use", 
      "results", 
      "recovery", 
      "shortage", 
      "selection", 
      "grade", 
      "China", 
      "high levels", 
      "levels", 
      "measures", 
      "trials", 
      "comparative trials", 
      "abundant low-grade siderite ores", 
      "low-grade siderite ores", 
      "siderite fines", 
      "fluidized-bed magnetizing", 
      "magnetic field intensity 0.2", 
      "field intensity 0.2", 
      "intensity 0.2", 
      "optimizing gas fluidization velocity", 
      "beneficiation of siderite", 
      "high-grade magnetic concentrate", 
      "Fluidized-Bed Magnetizing", 
      "CO\u2013H2\u2013N2 Atmosphere"
    ], 
    "name": "Upgrading of Iron Concentrate by Fluidized-Bed Magnetizing Roasting of Siderite to Magnetite in CO\u2013H2\u2013N2 Atmosphere", 
    "pagination": "1381-1391", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112587704"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12666-019-01636-w"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12666-019-01636-w", 
      "https://app.dimensions.ai/details/publication/pub.1112587704"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_812.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12666-019-01636-w"
  }
]
 

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/s12666-019-01636-w'

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/s12666-019-01636-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12666-019-01636-w'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12666-019-01636-w'


 

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

139 TRIPLES      21 PREDICATES      89 URIs      81 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12666-019-01636-w schema:about anzsrc-for:09
2 anzsrc-for:0914
3 schema:author Na0086fd2494c4e37a30c0b641b0ea208
4 schema:datePublished 2019-03-06
5 schema:datePublishedReg 2019-03-06
6 schema:description Efficient use of abundant low-grade siderite ores can potentially mitigate the shortage of iron ore in the iron and steel industry in China. In this work, the beneficiation of siderite fines containing high levels of carbonates was studied using a combined fluidized-bed magnetizing roasting process. The siderite was almost completely converted into magnetite under the optimum conditions of preheating at 550 °C for 30 s followed by magnetizing roasting at 550 °C for 60 s at 0.5 m/s gas fluidization velocity in a 13.3% CO + 6.7% H2 + 80% N2 atmosphere. Magnetic separation was optimized using a fineness of that grind of 89.2% of the material passing 0.074 mm and magnetic field intensity 0.2 T. Comparative trials confirmed that the enhanced measures proposed, including optimizing gas fluidization velocity, preheating of the materials, the use of a mixed reducing gas, and selection of the optimum particle size of raw materials, could improve beneficiation of siderite. A high-grade magnetic concentrate containing 62.6 wt% iron grade with an iron recovery of 89.2% was achieved. The results demonstrated an effective process to utilize siderite ores.
7 schema:genre article
8 schema:inLanguage en
9 schema:isAccessibleForFree false
10 schema:isPartOf Na639487e96574c67b22b6c5c3eef1122
11 Nfa48ceb27efe4affaeaf5b8853562494
12 sg:journal.1136517
13 schema:keywords CO
14 CO–H2–N2 Atmosphere
15 China
16 Fluidized-Bed Magnetizing
17 H2
18 N2 atmosphere
19 abundant low-grade siderite ores
20 atmosphere
21 beneficiation
22 beneficiation of siderite
23 carbonate
24 comparative trials
25 concentrate
26 conditions
27 effective process
28 efficient use
29 field intensity 0.2
30 fineness
31 fines
32 fluidization velocity
33 fluidized-bed magnetizing
34 gas
35 gas fluidization velocity
36 grade
37 grind
38 high levels
39 high-grade magnetic concentrate
40 industry
41 intensity 0.2
42 iron
43 iron concentrate
44 iron grade
45 iron ore
46 iron recovery
47 levels
48 low-grade siderite ores
49 magnetic concentrate
50 magnetic field intensity 0.2
51 magnetic separation
52 magnetite
53 magnetizing
54 materials
55 measures
56 optimizing gas fluidization velocity
57 optimum conditions
58 optimum particle size
59 ore
60 particle size
61 process
62 raw materials
63 recovery
64 results
65 selection
66 separation
67 shortage
68 siderite
69 siderite fines
70 siderite ore
71 size
72 steel industry
73 trials
74 use
75 velocity
76 work
77 schema:name Upgrading of Iron Concentrate by Fluidized-Bed Magnetizing Roasting of Siderite to Magnetite in CO–H2–N2 Atmosphere
78 schema:pagination 1381-1391
79 schema:productId N756f3addbc1d4a8f83be14c574b9d3b7
80 Nabff39459a2241e399e0644565851bcb
81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112587704
82 https://doi.org/10.1007/s12666-019-01636-w
83 schema:sdDatePublished 2021-11-01T18:36
84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
85 schema:sdPublisher N0336311d57c941f39f0878bebff4511e
86 schema:url https://doi.org/10.1007/s12666-019-01636-w
87 sgo:license sg:explorer/license/
88 sgo:sdDataset articles
89 rdf:type schema:ScholarlyArticle
90 N0336311d57c941f39f0878bebff4511e schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 N5576bc0c47524d77ace9b183146695b4 rdf:first sg:person.011550725145.58
93 rdf:rest N5cb8f4cd3f5d46ab8de358296843a112
94 N5cb8f4cd3f5d46ab8de358296843a112 rdf:first sg:person.013327726137.04
95 rdf:rest rdf:nil
96 N756f3addbc1d4a8f83be14c574b9d3b7 schema:name dimensions_id
97 schema:value pub.1112587704
98 rdf:type schema:PropertyValue
99 Na0086fd2494c4e37a30c0b641b0ea208 rdf:first sg:person.07412014403.45
100 rdf:rest N5576bc0c47524d77ace9b183146695b4
101 Na639487e96574c67b22b6c5c3eef1122 schema:issueNumber 5
102 rdf:type schema:PublicationIssue
103 Nabff39459a2241e399e0644565851bcb schema:name doi
104 schema:value 10.1007/s12666-019-01636-w
105 rdf:type schema:PropertyValue
106 Nfa48ceb27efe4affaeaf5b8853562494 schema:volumeNumber 72
107 rdf:type schema:PublicationVolume
108 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
109 schema:name Engineering
110 rdf:type schema:DefinedTerm
111 anzsrc-for:0914 schema:inDefinedTermSet anzsrc-for:
112 schema:name Resources Engineering and Extractive Metallurgy
113 rdf:type schema:DefinedTerm
114 sg:journal.1136517 schema:issn 0972-2815
115 0975-1645
116 schema:name Transactions of the Indian Institute of Metals
117 schema:publisher Springer Nature
118 rdf:type schema:Periodical
119 sg:person.011550725145.58 schema:affiliation grid-institutes:grid.69775.3a
120 schema:familyName Xue
121 schema:givenName Jilai
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011550725145.58
123 rdf:type schema:Person
124 sg:person.013327726137.04 schema:affiliation grid-institutes:grid.495316.c
125 schema:familyName Chen
126 schema:givenName Wen
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013327726137.04
128 rdf:type schema:Person
129 sg:person.07412014403.45 schema:affiliation grid-institutes:grid.69775.3a
130 schema:familyName Zhao
131 schema:givenName Qiang
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07412014403.45
133 rdf:type schema:Person
134 grid-institutes:grid.495316.c schema:alternateName Changsha Research Institute of Mining and Metallurgy Co., LTD, 410083, Changsha, China
135 schema:name Changsha Research Institute of Mining and Metallurgy Co., LTD, 410083, Changsha, China
136 rdf:type schema:Organization
137 grid-institutes:grid.69775.3a schema:alternateName School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, 100083, Beijing, China
138 schema:name School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, 100083, Beijing, China
139 rdf:type schema:Organization
 




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


...