Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88004
Title: Modelling TiO 2 formation in a stagnation flame using method of moments with interpolative closure
Authors: Kraft, Markus
Manuputty, Manoel Y.
Akroyd, Jethro
Mosbach, Sebastian
Keywords: Nanoparticle
Titanium Dioxide
Issue Date: 2017
Source: Manuputty, M. Y., Akroyd, J., Mosbach, S., & Kraft, M. (2017). Modelling TiO2 formation in a stagnation flame using method of moments with interpolative closure. Combustion and Flame, 178,135-147.
Series/Report no.: Combustion and Flame
Abstract: The stagnation flame synthesis of titanium dioxide nanoparticles from titanium tetraisopropoxide (TTIP) is modelled based on a simple one-step decomposition mechanism and one-dimensional stagnation flow. The particle model, which accounts for nucleation, surface growth, and coagulation, is fully-coupled to the flow and the gas phase chemistry and solved using the method of moments with interpolative closure (MoMIC). The model assumes no formation of aggregates considering the high temperature of the flame. In order to account for the free-jet region in the flow, the computational distance, H = 1.27 cm, is chosen based on the observed flame location in the experiment (for nozzle-stagnation distance, L = 3.4 cm). The model shows a good agreement with experimentally measured mobility particle size for stationary stagnation surface with varying TTIP loading, although the particle geometric standard deviation, GSD, is underpredicted for high TTIP loading. The particle size is predicted to be sensitive to the sampling location near the stagnation surface in the modelled flame. The sensitivity to the sampling location is found to increase with increasing precursor loading and stagnation temperature. Lastly, the effect of surface growth is evaluated by comparing the result with an alternative reaction model. It is found that surface growth plays an important role in the initial stage of particle growth which, if neglected, results in severe underprediction of particle size and overprediction of particle GSD.
URI: https://hdl.handle.net/10356/88004
http://hdl.handle.net/10220/44523
ISSN: 0010-2180
DOI: 10.1016/j.combustflame.2017.01.005
Rights: © 2017 The Combustion Institute (published by Elsevier). This is the author created version of a work that has been peer reviewed and accepted for publication in Combustion and Flame, published by Elsevier on behalf of The Combustion Institute. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [http://dx.doi.org/10.1016/j.combustflame.2017.01.005].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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