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Article

An Improved Prediction of Pre-Combustion Processes, Using the Discrete Multicomponent Model

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Mechanical Engineering Department, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
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Faculty of Engineering, Environment and Computing, Coventry University, Coventry CV1 2JH, UK
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Fuel Technology Division, R&DC, Saudi Aramco, Dhahran 34465, Saudi Arabia
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Mechanical Engineering Department, Arab Academy for Science, Technology and Maritime Transport, Alexandria 1029, Egypt
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Sir Harry Ricardo Laboratories, School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK
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Clean Combustion Research Center, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
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Fuels and Combustion Engines Laboratory, Energy Resources Engineering Department, Egypt-Japan University of Science and Technology, New Borg El-Arab 21934, Egypt
*
Authors to whom correspondence should be addressed.
Academic Editor: Laurencas Raslavičius
Sustainability 2021, 13(5), 2937; https://0-doi-org.brum.beds.ac.uk/10.3390/su13052937
Received: 19 December 2020 / Revised: 27 February 2021 / Accepted: 1 March 2021 / Published: 8 March 2021
An improved heating and evaporation model of fuel droplets is implemented into the commercial Computational Fluid Dynamics (CFD) software CONVERGE for the simulation of sprays. The analytical solutions to the heat conduction and species diffusion equations in the liquid phase for each time step are coded via user-defined functions (UDF) into the software. The customized version of CONVERGE is validated against measurements for a single droplet of n-heptane and n-decane mixture. It is shown that the new heating and evaporation model better agrees with the experimental data than those predicted by the built-in heating and evaporation model, which does not consider the effects of temperature gradient and assumes infinitely fast species diffusion inside droplets. The simulation of a hollow-cone spray of primary reference fuel (PRF65) is performed and validated against experimental data taken from the literature. Finally, the newly implemented model is tested by running full-cycle engine simulations, representing partially premixed compression ignition (PPCI) using PRF65 as the fuel. These simulations are successfully performed for two start of injection timings, 20 and 25 crank angle (CA) before top-dead-centre (BTDC). The results show good agreement with experimental data where the effect of heating and evaporation of droplets on combustion phasing is investigated. The results highlight the importance of the accurate modelling of physical processes during droplet heating and evaporation for the prediction of the PPCI engine performance. View Full-Text
Keywords: combustion; computational fluid dynamics; droplet evaporation; engine simulation; spray combustion; computational fluid dynamics; droplet evaporation; engine simulation; spray
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MDPI and ACS Style

Kabil, I.; Al Qubeissi, M.; Badra, J.; Abdelghaffar, W.; Eldrainy, Y.; Sazhin, S.S.; Im, H.G.; Elwardany, A. An Improved Prediction of Pre-Combustion Processes, Using the Discrete Multicomponent Model. Sustainability 2021, 13, 2937. https://0-doi-org.brum.beds.ac.uk/10.3390/su13052937

AMA Style

Kabil I, Al Qubeissi M, Badra J, Abdelghaffar W, Eldrainy Y, Sazhin SS, Im HG, Elwardany A. An Improved Prediction of Pre-Combustion Processes, Using the Discrete Multicomponent Model. Sustainability. 2021; 13(5):2937. https://0-doi-org.brum.beds.ac.uk/10.3390/su13052937

Chicago/Turabian Style

Kabil, Islam, Mansour Al Qubeissi, Jihad Badra, Walid Abdelghaffar, Yehia Eldrainy, Sergei S. Sazhin, Hong G. Im, and Ahmed Elwardany. 2021. "An Improved Prediction of Pre-Combustion Processes, Using the Discrete Multicomponent Model" Sustainability 13, no. 5: 2937. https://0-doi-org.brum.beds.ac.uk/10.3390/su13052937

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