posted on 2016-08-08, 12:58authored byJagdeep Sagu, Upul Wijayantha-Kahagala-Gamage, Paul Holland, Mallika Bohm, Siva Bohm, Tapan Kumar Rout, Hemaka BandulasenaHemaka Bandulasena
Carbon emissions from industrial sources are of major global concern, especially contributions from the steel manufacturing process which accounts for the majority of emissions. Typical blast furnace gases consist of CO2 (20-25%), CO (20-25%), H2 (3-5%) and N2 (40-50%) and trace amounts of other gases. It is demonstrated that gas mixtures with these compositions can be used at atmospheric pressure to grow carbon nanotubes (CNTs) by chemical vapor deposition (CVD) on to steel substrates, which act as catalysts for CNT growth. Computational modelling was used to investigate the CNT growth conditions inside the CVD chamber. The results show that industrial waste pollutant gases can be used to manufacture materials with significant commercial value, in this case CNTs.
Funding
JS would like to thank Tata Steel for the partly
funded PhD Studentship which enabled this work to be carried out.
Loughborough University is also acknowledged for the remaining
funding for the PhD studentship. KGUW acknowledges the support
received from the Engineering and Physical Sciences Research
www.crt-journal.org C 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim 7
J S. Sagu et al.: Growth of carbon nanotubes from waste blast furnace gases at atmospheric pressure
Original Paper
Council (Grant no. EP/H020543/1). The authors acknowledge use of
the facilities and the assistance of Dr. Zhaoxia Zhou for TEM measurements
in the Loughborough Materials Characterisation Centre.
All authors would like to thank EffecTech Ltd for supplying the
gas mixtures and conducting gas chromatography measurements
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Chemical Engineering
Published in
Crystal Research and Technology
Citation
SAGU, J.S. ...et al., 2016. Growth of carbon nanotubes from waste blast furnace gases at atmospheric pressure. Crystal Research and Technology, 51 (8), pp.466-474.
Publisher
Wiley
Version
VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/
Publication date
2016
Notes
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium,
provided the original work is properly cited.