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Investigating carbon type differentiation techniques for blast furnace dust

John Lewis, Hollie Cockings Orcid Logo, Daniel J. C. Stewart, James Russell, Matthew Thomas, Mark Greenslade

Ironmaking and Steelmaking, Volume: 49, Issue: 10, Pages: 956 - 967

Swansea University Authors: John Lewis, Hollie Cockings Orcid Logo, James Russell, Matthew Thomas

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DOI (Published version): 10.1080/03019233.2022.2137911

Abstract

Coal char presence in blast furnace dust, indicates the inefficiency of combustion in the raceway. A retroactive approach has been applied by investigating the presence of carbon sources in blast furnace dust via carbon type differentiation methodologies. The current state of the art in carbon type...

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Published in: Ironmaking and Steelmaking
ISSN: 0301-9233 1743-2812
Published: Informa UK Limited 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa61754
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spelling 2023-01-26T13:03:55.9588342 v2 61754 2022-11-01 Investigating carbon type differentiation techniques for blast furnace dust fa3deb9f6672f0edfb86456984c263bb John Lewis John Lewis true false c951e311ac85396c2bb8ed4153b19fde 0000-0002-9745-4521 Hollie Cockings Hollie Cockings true false 4ad47527c475ae228d69747c0c21f148 James Russell James Russell true false b9514ab31b282c2d1bf584759e7d329b Matthew Thomas Matthew Thomas true false 2022-11-01 FGSEN Coal char presence in blast furnace dust, indicates the inefficiency of combustion in the raceway. A retroactive approach has been applied by investigating the presence of carbon sources in blast furnace dust via carbon type differentiation methodologies. The current state of the art in carbon type differentiation for similar applications consists of thermogravimetric analysis, however this technique does not allow for samples to be analysed in line with the ever-changing conditions of the blast furnace. Here, the TGA method has been trialled for use with blast furnace dust, with improvements offered to the heating profile, allowing for faster analysis. Moreover, alternative techniques have been trialled, in combination with characterisation methods such as XRD, SEM/EDS, total carbon and ICP-OES. The ‘Winkler Method’ originally designed to quantify charcoal in soil sediment, has been successfully optimised for carbon type differentiation in blast furnace dust, showing good correlation with the original benchmark technique. Journal Article Ironmaking and Steelmaking 49 10 956 967 Informa UK Limited 0301-9233 1743-2812 Blast furnace; optical microscopy; SEM; XRD; carbon; digestion; combustion; ignition 26 11 2022 2022-11-26 10.1080/03019233.2022.2137911 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University SU Library paid the OA fee (TA Institutional Deal) European Regional Development Fund 2023-01-26T13:03:55.9588342 2022-11-01T17:00:51.3017036 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering John Lewis 1 Hollie Cockings 0000-0002-9745-4521 2 Daniel J. C. Stewart 3 James Russell 4 Matthew Thomas 5 Mark Greenslade 6 61754__25636__5d74eede95394073874bbb1963ab420b.pdf 61754_VoR.pdf 2022-11-01T17:04:28.2416162 Output 4336682 application/pdf Version of Record true © 2022 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Investigating carbon type differentiation techniques for blast furnace dust
spellingShingle Investigating carbon type differentiation techniques for blast furnace dust
John Lewis
Hollie Cockings
James Russell
Matthew Thomas
title_short Investigating carbon type differentiation techniques for blast furnace dust
title_full Investigating carbon type differentiation techniques for blast furnace dust
title_fullStr Investigating carbon type differentiation techniques for blast furnace dust
title_full_unstemmed Investigating carbon type differentiation techniques for blast furnace dust
title_sort Investigating carbon type differentiation techniques for blast furnace dust
author_id_str_mv fa3deb9f6672f0edfb86456984c263bb
c951e311ac85396c2bb8ed4153b19fde
4ad47527c475ae228d69747c0c21f148
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author_id_fullname_str_mv fa3deb9f6672f0edfb86456984c263bb_***_John Lewis
c951e311ac85396c2bb8ed4153b19fde_***_Hollie Cockings
4ad47527c475ae228d69747c0c21f148_***_James Russell
b9514ab31b282c2d1bf584759e7d329b_***_Matthew Thomas
author John Lewis
Hollie Cockings
James Russell
Matthew Thomas
author2 John Lewis
Hollie Cockings
Daniel J. C. Stewart
James Russell
Matthew Thomas
Mark Greenslade
format Journal article
container_title Ironmaking and Steelmaking
container_volume 49
container_issue 10
container_start_page 956
publishDate 2022
institution Swansea University
issn 0301-9233
1743-2812
doi_str_mv 10.1080/03019233.2022.2137911
publisher Informa UK Limited
college_str Faculty of Science and Engineering
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hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering
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description Coal char presence in blast furnace dust, indicates the inefficiency of combustion in the raceway. A retroactive approach has been applied by investigating the presence of carbon sources in blast furnace dust via carbon type differentiation methodologies. The current state of the art in carbon type differentiation for similar applications consists of thermogravimetric analysis, however this technique does not allow for samples to be analysed in line with the ever-changing conditions of the blast furnace. Here, the TGA method has been trialled for use with blast furnace dust, with improvements offered to the heating profile, allowing for faster analysis. Moreover, alternative techniques have been trialled, in combination with characterisation methods such as XRD, SEM/EDS, total carbon and ICP-OES. The ‘Winkler Method’ originally designed to quantify charcoal in soil sediment, has been successfully optimised for carbon type differentiation in blast furnace dust, showing good correlation with the original benchmark technique.
published_date 2022-11-26T04:20:49Z
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