Northampton Electronic Collection of Theses and Research

Auto-selection of quasi-components/components in the multi-dimensional quasi-discrete model

Al Qubeissi, M., Al-Esawi, N. and Sazhin, S. (2021) Auto-selection of quasi-components/components in the multi-dimensional quasi-discrete model. Fuel. 294 0016-2361.

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20489:62167
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Al_Qubeissi_etal_Elsevier_2023_Auto-selection_of_quasi-components_components_in_the_multi-dimensional_quasi-discrete_model
Al_Qubeissi_etal_Elsevier_2023_Auto-selection_of_quasi-components_components_in_the_multi-dimensional_quasi-discrete_model.pdf - Accepted Version
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Information
Abstract:
A new algorithm for the auto-selection of quasi-components and components (QC/Cs) in the ‘multi-dimensional quasi-discrete’ model is suggested. This algorithm is applied to the analysis of heating and evaporation of multi-component fuel droplets. It allows one to automatically select QC/Cs and update the initial selection during droplet evaporation. The new algorithm is expected to be applicable to the analysis of a wide range of fuels and fuel blends. It can be directly implemented into CFD codes with minimal intervention by end-user. Using this algorithm, the effects of transient diffusion of species on droplet lifetimes are investigated for mixtures of Diesel and E85 (85% vol. ethanol and 15% vol. gasoline) fuels. It is shown that the new algorithm can reduce the analysis of the E85-Diesel fuel droplets, taking into account the contributions of up to 119 components at the initial stage of heating and evaporation, to that based on 5 QC/Cs, near the end of droplet evaporation, with up to 1.9% errors in predicted droplet temperatures and radii. The CPU time needed to perform calculations using the new algorithm is shown to be 80% less than that when considering the full composition of fuel.
Additional Information:
©2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
Uncontrolled Keywords:
Auto-selection algorithm, Evaporation, Fuel blends, Heating, Multi-component fuels, Quasi-components
Creators:
Al Qubeissi, M., Al-Esawi, N. and Sazhin, S.
Date:
15 June 2021
Date Type:
Publication
Journal or Publication Title:
Fuel
Volume:
294
Number of Pages:
11
Language:
English
ISSN:
0016-2361
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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