Pham Vu, T.N. and Pham Xuan, P. and Nguyen Trung, K. (2023) Model Selection for Predicting the Evaporation Rate of Aviation Fuels. In: Conference of SAE Automotive Technical Papers, WONLYAUTO 2023, 1 January 2023, Warrendale.
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The prediction of accurate evaporation rates for aviation fuels, which are complex mixtures of hundreds of hydrocarbon components with varying evaporation characteristics, remains a challenge. Multi-component vaporization models, such as distillation curve (DC) and diffusion limit (DL), are capable of predicting evaporation rates well but require the construction of surrogate fuels, which is difficult. Mono-component models, on the other hand, can be used for rapid evaporation conditions similar to those in a heat engine combustion chamber, with acceptable uncertainties. However, the accuracy of these models under engine-relevant operating conditions is unclear. This study aims to address this research gap by experimentally measuring the evaporation rates of two aviation fuels (TS-1 and Jet-A1) at different temperature conditions and evaluating the feasibility of current theoretical models for predicting evaporation rates under engine-relevant conditions. The study found that current models cannot accurately describe special events such as micro-explosions or slow evaporation, which were observed in the case of TS-1 droplets at temperatures above 823 K. This study highlights the need for more accurate models for predicting the evaporation rates of aviation fuels under engine-relevant conditions. © 2023 SAE International. All rights reserved.
Item Type: | Conference or Workshop Item (Paper) |
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Divisions: | Faculties > Faculty of Vehicle and Energy Engineering |
Identification Number: | 10.4271/2023-01-5028 |
Uncontrolled Keywords: | Distillation; Drops; Evaporation; Forecasting, Aviation fuel; Complex mixture; Condition; Droplet evaporation; Droplet evaporation model; Evaporation model; Evaporation rate; Fuel droplets; Hydrocarbon components; Model Selection, Engines |
Additional Information: | Conference of SAE Automotive Technical Papers, WONLYAUTO 2023; Conference Date: 1 January 2023; Conference Code:185956 |
URI: | http://eprints.lqdtu.edu.vn/id/eprint/10863 |