Xi, X;
Torero, JL;
Jahn, W;
(2021)
Data driven forecast of droplet combustion.
Proceedings of the Combustion Institute
, 38
(3)
pp. 4785-4793.
10.1016/j.proci.2020.05.012.
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Abstract
The characteristics of a diffusion flame resulting from the gasification of a condensed fuel are predicted from the synthesis of simple models and data. Combustion of a droplet in microgravity is used as a canonical configuration to illustrate the methodology. The simplicity of the spherical configuration and the detail of the measurements make the available experimental data ideal for this study. The approach followed combines the classical analytical solution first proposed by Spalding to describe the condensed phase gasification with a numerical method that describes the gas phase. Available data on flame geometry and regression rates are used to initialize the model and produce adequate predictions of the time evolution of all relevant variables. The method was shown to make proper predictions under numerous configurations and with very small computational cost.
| Type: | Article |
|---|---|
| Title: | Data driven forecast of droplet combustion |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.proci.2020.05.012 |
| Publisher version: | https://doi.org/10.1016/j.proci.2020.05.012 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Data assimilation, Droplet combustion, Hybrid model |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10106831 |
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