Zero-Waste Recycling Method for Nickel Leaching Residue by Direct Reduction–Magnetic Separation Process and Ceramsite Preparation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Qiang Zhao, Jilai Xue, Wen Chen

ABSTRACT

In this paper, a novel process for beneficiation of metallic iron from nickel leaching residue and preparation of ceramsite from tailings by direct reduction–magnetic separation process is reported. The optimal conditions for direct reduction process were 1100 °C roasting temperature, 120 min duration, and 30 wt.% reductant dosage. The reduced sample was benefited from low-intensity magnetic separation. This process yielded an iron concentrate of 82.32 wt.% grade and 78.05 wt.% recovery. Hence, this metallic iron could be used as a feedstock for the steel industry. Tailings of the magnetic separation procedure were used to prepare ceramsite. Optimal conditions for preparing ceramsite were: 55% magnetic separation tailings, 20% silica, 15% fly ash, 10% charcoal, a 1150 °C roasting temperature, and a holding time of 30 min. The ceramsite properties met the requirement of CJ/T299-2008 National Standard. These results suggested that developing this solid waste would have environmental and economic benefits. More... »

PAGES

1075-1085

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12666-019-01582-7

DOI

http://dx.doi.org/10.1007/s12666-019-01582-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111915413


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/2008/0914", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Resources Engineering and Extractive Metallurgy", 
        "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": "University of Science and Technology Beijing", 
          "id": "https://www.grid.ac/institutes/grid.69775.3a", 
          "name": [
            "School of Metallurgical and Ecological Engineering, University of Science and Technology, 100083, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Qiang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Science and Technology Beijing", 
          "id": "https://www.grid.ac/institutes/grid.69775.3a", 
          "name": [
            "School of Metallurgical and Ecological Engineering, University of Science and Technology, 100083, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xue", 
        "givenName": "Jilai", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Changsha Mining and Metallurgy Research Institute (China)", 
          "id": "https://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", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2355/isijinternational.54.56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003199636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.hydromet.2005.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004607573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.hydromet.2005.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004607573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mineng.2010.08.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007631974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12666-009-0030-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013703431", 
          "https://doi.org/10.1007/s12666-009-0030-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0892-6875(01)00181-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015112191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mineng.2003.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030806321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0040-6031(03)00398-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031456172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0040-6031(03)00398-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031456172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2009.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039265720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mineng.2014.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049572442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08827508.2017.1324439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085321732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11837-017-2410-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086041421", 
          "https://doi.org/10.1007/s11837-017-2410-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11837-017-2410-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086041421", 
          "https://doi.org/10.1007/s11837-017-2410-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/ma11030359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101286237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s42243-018-0063-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104144969", 
          "https://doi.org/10.1007/s42243-018-0063-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s42243-018-0063-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104144969", 
          "https://doi.org/10.1007/s42243-018-0063-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "In this paper, a novel process for beneficiation of metallic iron from nickel leaching residue and preparation of ceramsite from tailings by direct reduction\u2013magnetic separation process is reported. The optimal conditions for direct reduction process were 1100 \u00b0C roasting temperature, 120 min duration, and 30 wt.% reductant dosage. The reduced sample was benefited from low-intensity magnetic separation. This process yielded an iron concentrate of 82.32 wt.% grade and 78.05 wt.% recovery. Hence, this metallic iron could be used as a feedstock for the steel industry. Tailings of the magnetic separation procedure were used to prepare ceramsite. Optimal conditions for preparing ceramsite were: 55% magnetic separation tailings, 20% silica, 15% fly ash, 10% charcoal, a 1150 \u00b0C roasting temperature, and a holding time of 30 min. The ceramsite properties met the requirement of CJ/T299-2008 National Standard. These results suggested that developing this solid waste would have environmental and economic benefits.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12666-019-01582-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136517", 
        "issn": [
          "0972-2815", 
          "0975-1645"
        ], 
        "name": "Transactions of the Indian Institute of Metals", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "72"
      }
    ], 
    "name": "Zero-Waste Recycling Method for Nickel Leaching Residue by Direct Reduction\u2013Magnetic Separation Process and Ceramsite Preparation", 
    "pagination": "1075-1085", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b2806296c363095620d190748a60c0398a426088509a3e706c821b92e4be8a07"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12666-019-01582-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111915413"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12666-019-01582-7", 
      "https://app.dimensions.ai/details/publication/pub.1111915413"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:41", 
    "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/v90/0000000363_0000000363/records_70056_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12666-019-01582-7"
  }
]
 

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/s12666-019-01582-7'

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/s12666-019-01582-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12666-019-01582-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12666-019-01582-7'


 

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

117 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12666-019-01582-7 schema:about anzsrc-for:09
2 anzsrc-for:0914
3 schema:author N28dc770b88114bd799280739e30f8c15
4 schema:citation sg:pub.10.1007/s11837-017-2410-y
5 sg:pub.10.1007/s12666-009-0030-0
6 sg:pub.10.1007/s42243-018-0063-x
7 https://doi.org/10.1016/j.hydromet.2005.04.003
8 https://doi.org/10.1016/j.jhazmat.2009.09.018
9 https://doi.org/10.1016/j.mineng.2003.08.015
10 https://doi.org/10.1016/j.mineng.2010.08.021
11 https://doi.org/10.1016/j.mineng.2014.08.010
12 https://doi.org/10.1016/s0040-6031(03)00398-8
13 https://doi.org/10.1016/s0892-6875(01)00181-9
14 https://doi.org/10.1080/08827508.2017.1324439
15 https://doi.org/10.2355/isijinternational.54.56
16 https://doi.org/10.3390/ma11030359
17 schema:datePublished 2019-04
18 schema:datePublishedReg 2019-04-01
19 schema:description In this paper, a novel process for beneficiation of metallic iron from nickel leaching residue and preparation of ceramsite from tailings by direct reduction–magnetic separation process is reported. The optimal conditions for direct reduction process were 1100 °C roasting temperature, 120 min duration, and 30 wt.% reductant dosage. The reduced sample was benefited from low-intensity magnetic separation. This process yielded an iron concentrate of 82.32 wt.% grade and 78.05 wt.% recovery. Hence, this metallic iron could be used as a feedstock for the steel industry. Tailings of the magnetic separation procedure were used to prepare ceramsite. Optimal conditions for preparing ceramsite were: 55% magnetic separation tailings, 20% silica, 15% fly ash, 10% charcoal, a 1150 °C roasting temperature, and a holding time of 30 min. The ceramsite properties met the requirement of CJ/T299-2008 National Standard. These results suggested that developing this solid waste would have environmental and economic benefits.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N278f51fea0ce422a93c51e605a80caff
24 Ne77abd05654844e7bce919822a930742
25 sg:journal.1136517
26 schema:name Zero-Waste Recycling Method for Nickel Leaching Residue by Direct Reduction–Magnetic Separation Process and Ceramsite Preparation
27 schema:pagination 1075-1085
28 schema:productId N909fc771d0b64c6ea075a3e5ad4d6c57
29 Naaf9d7b68a114ae0b0d5b87f931754cb
30 Nf82f86acf72f4d31bdbe67f79c1d351a
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111915413
32 https://doi.org/10.1007/s12666-019-01582-7
33 schema:sdDatePublished 2019-04-11T12:41
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N0f31918c34bb4ea1845afce3f2552e24
36 schema:url https://link.springer.com/10.1007%2Fs12666-019-01582-7
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N0f31918c34bb4ea1845afce3f2552e24 schema:name Springer Nature - SN SciGraph project
41 rdf:type schema:Organization
42 N25c50d9e214e40d989a24760dd0de736 schema:affiliation https://www.grid.ac/institutes/grid.69775.3a
43 schema:familyName Zhao
44 schema:givenName Qiang
45 rdf:type schema:Person
46 N278f51fea0ce422a93c51e605a80caff schema:issueNumber 4
47 rdf:type schema:PublicationIssue
48 N28dc770b88114bd799280739e30f8c15 rdf:first N25c50d9e214e40d989a24760dd0de736
49 rdf:rest N3842dc6660e2434aa7b68d8d57b8fd31
50 N3842dc6660e2434aa7b68d8d57b8fd31 rdf:first Nb5cf12db11a640baa5523ebc9881e0f7
51 rdf:rest N7b71989a598f489db1e4659f986ed52b
52 N560ff02d2f4244b5a8877fe5f8060dfc schema:affiliation https://www.grid.ac/institutes/grid.495316.c
53 schema:familyName Chen
54 schema:givenName Wen
55 rdf:type schema:Person
56 N7b71989a598f489db1e4659f986ed52b rdf:first N560ff02d2f4244b5a8877fe5f8060dfc
57 rdf:rest rdf:nil
58 N909fc771d0b64c6ea075a3e5ad4d6c57 schema:name dimensions_id
59 schema:value pub.1111915413
60 rdf:type schema:PropertyValue
61 Naaf9d7b68a114ae0b0d5b87f931754cb schema:name doi
62 schema:value 10.1007/s12666-019-01582-7
63 rdf:type schema:PropertyValue
64 Nb5cf12db11a640baa5523ebc9881e0f7 schema:affiliation https://www.grid.ac/institutes/grid.69775.3a
65 schema:familyName Xue
66 schema:givenName Jilai
67 rdf:type schema:Person
68 Ne77abd05654844e7bce919822a930742 schema:volumeNumber 72
69 rdf:type schema:PublicationVolume
70 Nf82f86acf72f4d31bdbe67f79c1d351a schema:name readcube_id
71 schema:value b2806296c363095620d190748a60c0398a426088509a3e706c821b92e4be8a07
72 rdf:type schema:PropertyValue
73 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
74 schema:name Engineering
75 rdf:type schema:DefinedTerm
76 anzsrc-for:0914 schema:inDefinedTermSet anzsrc-for:
77 schema:name Resources Engineering and Extractive Metallurgy
78 rdf:type schema:DefinedTerm
79 sg:journal.1136517 schema:issn 0972-2815
80 0975-1645
81 schema:name Transactions of the Indian Institute of Metals
82 rdf:type schema:Periodical
83 sg:pub.10.1007/s11837-017-2410-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1086041421
84 https://doi.org/10.1007/s11837-017-2410-y
85 rdf:type schema:CreativeWork
86 sg:pub.10.1007/s12666-009-0030-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013703431
87 https://doi.org/10.1007/s12666-009-0030-0
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/s42243-018-0063-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1104144969
90 https://doi.org/10.1007/s42243-018-0063-x
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/j.hydromet.2005.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004607573
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.jhazmat.2009.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039265720
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/j.mineng.2003.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030806321
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.mineng.2010.08.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007631974
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.mineng.2014.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049572442
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/s0040-6031(03)00398-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031456172
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/s0892-6875(01)00181-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015112191
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1080/08827508.2017.1324439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085321732
107 rdf:type schema:CreativeWork
108 https://doi.org/10.2355/isijinternational.54.56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003199636
109 rdf:type schema:CreativeWork
110 https://doi.org/10.3390/ma11030359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101286237
111 rdf:type schema:CreativeWork
112 https://www.grid.ac/institutes/grid.495316.c schema:alternateName Changsha Mining and Metallurgy Research Institute (China)
113 schema:name Changsha Research Institute of Mining and Metallurgy Co, Ltd, 410083, Changsha, China
114 rdf:type schema:Organization
115 https://www.grid.ac/institutes/grid.69775.3a schema:alternateName University of Science and Technology Beijing
116 schema:name School of Metallurgical and Ecological Engineering, University of Science and Technology, 100083, Beijing, China
117 rdf:type schema:Organization
 




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


...