Approaches for describing processes of fuel droplet heating and evaporation in combustion engines
Journal article
Authors | Jianfei Xie |
---|---|
Abstract | Fuel consumption and energy efficiency are still of great interest in combustion engineering and science. This state-of-the-art review revisits the fuel droplet heating and evaporation in combustion engines by accessing the nano/microscopic, mesoscopic and macroscopic fluid elements. Both fluid flow and heat transfer have been intensively recovered when a fuel droplet (dodecane) is heating and evaporated into a background gas (nitrogen) crossing the liquid–vapour interface, kinetic region and the bulk regions of liquid and gas in terms of molecular dynamics simulations, kinetic theory modelling and conventional hydrodynamic approach at each scale. Moreover, the introduction of inelastic collisions between fuel molecules helps fully unfold the underlying physics of droplet heating and evaporation and resolve the ignition delay and combustion phasing in engines. The proposed multi-scale modelling of fuel droplet heating and evaporation will make significant input into a cleaner engine targeting the low-carbon emissions and enhance the energy efficiency towards net zero. |
Keywords | Fuel consumption ; energy efficiency ; nano/microscopic; fuel droplet heating |
Year | 2023 |
Journal | Fuel |
Journal citation | 360, pp. 1-14 |
Publisher | Elsevier |
ISSN | 0016-2361 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.fuel.2023.130465 |
Web address (URL) | https://doi.org/10.1016/j.fuel.2023.130465 |
Output status | Published |
Publication dates | 04 Dec 2023 |
Publication process dates | |
Accepted | 21 Nov 2023 |
Deposited | 07 Feb 2024 |
https://repository.derby.ac.uk/item/q47z6/approaches-for-describing-processes-of-fuel-droplet-heating-and-evaporation-in-combustion-engines
39
total views0
total downloads3
views this month0
downloads this month
Export as
Related outputs

Machine Learning-Based Molecular Dynamics Studies on Predicting Thermophysical Properties of Ethanol–Octane Blends
Shateri, A., Yang, Z. and Xie, J. 2025. Machine Learning-Based Molecular Dynamics Studies on Predicting Thermophysical Properties of Ethanol–Octane Blends. Energy and Fuels. 39 (2). https://doi.org/10.1021/acs.energyfuels.4c05653
Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models
Shateri, A., Yang, Z., Liu, Y. and Xie, J. 2025. Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models. Fuel. 389, pp. 1-22. https://doi.org/10.1016/j.fuel.2025.134590Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines
Shateri, A., Yang, Z. and Xie, J. 2024. Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines. Energy and AI. 16, pp. 1-17. https://doi.org/10.1016/j.egyai.2024.100360Use of magnetic fluids in process system for pipe isolations
Emmerson, J. O., Amirali Shateri and Jianfei Xie 2024. Use of magnetic fluids in process system for pipe isolations. Heliyon. 10 (15), pp. 1-14. https://doi.org/10.1016/j.heliyon.2024.e35221Chaos synchronization of two coupled map lattice systems using safe reinforcement learning
Ding, J., Lei, Y., Jianfei Xie and Small, M. 2024. Chaos synchronization of two coupled map lattice systems using safe reinforcement learning. Chaos, Solitons & Fractals. 186, pp. 1-13. https://doi.org/10.1016/j.chaos.2024.115241Multi-perspective analysis of adiabatic compressed air energy storage system with cascaded packed bed latent heat storage under variable conditions
Cui, J., Yang, X., Chen, J., Su, H. and Jianfei Xie 2024. Multi-perspective analysis of adiabatic compressed air energy storage system with cascaded packed bed latent heat storage under variable conditions. Energy. 305, pp. 1-15. https://doi.org/10.1016/j.energy.2024.132373Enhanced heat transfer and thermal storage performance of molten K2CO3 by ZnO nanoparticles: A molecular dynamics study
Ji, C., Yang, X., Ma, Y., Guo, Z. and Jianfei Xie 2024. Enhanced heat transfer and thermal storage performance of molten K2CO3 by ZnO nanoparticles: A molecular dynamics study. Journal of Molecular Liquids. 407, pp. 1-9. https://doi.org/10.1016/j.molliq.2024.125203Molecular dynamics study on interfacial diffusion characterization of nanoparticle TiO2 and metal Fe in high-temperature molten salt thermal energy storage system
Xueming Yang, Zhijin Guo, Chang Ji, Yongfu Ma and Jianfei Xie 2024. Molecular dynamics study on interfacial diffusion characterization of nanoparticle TiO2 and metal Fe in high-temperature molten salt thermal energy storage system. Solar Energy Materials and Solar Cells. 271, pp. 1-12. https://doi.org/10.1016/j.solmat.2024.112854Numerical Simulation of the Interaction between a Planar Shock Wave and a Cylindrical Bubble
Onwuegbu, S., Yang, Z. and Xie, J. 2024. Numerical Simulation of the Interaction between a Planar Shock Wave and a Cylindrical Bubble. Modelling. 5 (2), pp. 483-501. https://doi.org/10.3390/modelling5020026Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines
Amirali Shateri, Zhiyin Yang and Jianfei Xie 2024. Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines. Energy and AI. 16, pp. 1-17. https://doi.org/10.1016/j.egyai.2024.100360Performance comparison of CSP system with different heat transfer and storage fluids at multi-time scales by means of system advisor model
Xueming Yang, Hu Zhao, Ming Zhang, Chang Ji and Jianfei Xie 2024. Performance comparison of CSP system with different heat transfer and storage fluids at multi-time scales by means of system advisor model. Solar Energy Materials and Solar Cells. 269, pp. 1-12. https://doi.org/10.1016/j.solmat.2024.112765Multi-factor analysis and optimization design of a cascaded packed-bed thermal storage system coupled with adiabatic compressed air energy storage
Xueming Yang, Jie Cui, Yi Li, He Chi and Jianfei Xie 2023. Multi-factor analysis and optimization design of a cascaded packed-bed thermal storage system coupled with adiabatic compressed air energy storage. Energy Conversion and Management. 300, pp. 1-13. https://doi.org/10.1016/j.enconman.2023.117961High thermal conductivity of porous graphite/paraffin composite phase change material with 3D porous graphite foam
Xueming Yang, Chunbo Li, YongFu Ma, He Chi, Zongjie Hu and Jianfei Xie 2023. High thermal conductivity of porous graphite/paraffin composite phase change material with 3D porous graphite foam. Chemical Engineering Journal. 473, pp. 1-9. https://doi.org/10.1016/j.cej.2023.145364Molecular dynamics study on the kinematic viscosity, density and structure of fuel blends containing n-decane and biofuel compound of ethyl decanoate or ethyl dodecanoate
Xueming Yang, Qiang Liu, Yongfu Ma, Jianfei Xie and Bingyang Cao 2023. Molecular dynamics study on the kinematic viscosity, density and structure of fuel blends containing n-decane and biofuel compound of ethyl decanoate or ethyl dodecanoate. Journal of Molecular Liquids. 379, pp. 1-13. https://doi.org/10.1016/j.molliq.2023.121680AI-Guided Computing Insights into a Thermostat Monitoring Neonatal Intensive Care Unit (NICU)
Zhang, N., Wood, O., Yang, Z. and Xie, J. 2023. AI-Guided Computing Insights into a Thermostat Monitoring Neonatal Intensive Care Unit (NICU). Sensors. 23 (9), pp. 1-16. https://doi.org/10.3390/s23094492
A mean free path approach to the micro/nanochannel gas flows
Xie, Jianfei 2020. A mean free path approach to the micro/nanochannel gas flows. Advances in Aerodynamics. https://doi.org/10.1186/s42774-020-00035-w
Relative permeabilities of supercritical CO2 and brine in carbon sequestration by a two-phase lattice Boltzmann method
Xie, Jianfei, He, S., Zu, Y. Q., Lamy-Chappuis, B. and Yardley, B. W. D. 2017. Relative permeabilities of supercritical CO2 and brine in carbon sequestration by a two-phase lattice Boltzmann method. 53 (8), pp. 2637-2649. https://doi.org/10.1007/s00231-017-2007-6
Effect of various surface conditions on nanochannel flows past permeable walls
Xie, Jianfei and Cao, Bing-Yang 2016. Effect of various surface conditions on nanochannel flows past permeable walls. 43 (1), pp. 65-75. https://doi.org/10.1080/08927022.2016.1233547
Influence of travelling surface waves on nanofluidic viscosity
Xie, Jianfei and Cao, Bing-Yang 2018. Influence of travelling surface waves on nanofluidic viscosity. 160, pp. 42-50. https://doi.org/10.1016/j.compfluid.2017.10.022
Natural convection of power-law fluids under wall vibrations: A lattice Boltzmann study
Xie, Jianfei 2017. Natural convection of power-law fluids under wall vibrations: A lattice Boltzmann study. 72 (8), pp. 600-627. https://doi.org/10.1080/10407782.2017.1394134
A test of the effectiveness of pore scale fluid flow simulations and constitutive equations for modelling the effects of mineral dissolution on rock permeability
Lamy-Chappuis, Benoit, Yardley, Bruce W.D., He, Shuisheng, Zu, Yingqing and Xie, Jianfei 2018. A test of the effectiveness of pore scale fluid flow simulations and constitutive equations for modelling the effects of mineral dissolution on rock permeability. 483, pp. 501-510. https://doi.org/10.1016/j.chemgeo.2018.03.020
Lattce Boltzmann mdoelling of natural convection of power-law fluids under wall vibrations
Xie, Jianfei and Cao, Bing-Yang 2018. Lattce Boltzmann mdoelling of natural convection of power-law fluids under wall vibrations. https://doi.org/10.1615/ihtc16.cov.020599
Nanochannel flow past permeable walls via molecular dynamics
Xie, Jianfei and Cao, Bing-Yang 2016. Nanochannel flow past permeable walls via molecular dynamics. 6 (7), p. 075307. https://doi.org/10.1063/1.4959022
Two approaches to modelling the heating of evaporating droplet
Xie, Jianfei 2014. Two approaches to modelling the heating of evaporating droplet. https://doi.org/10.1016/j.icheatmasstransfer.2014.08.004
Molecular Dynamics Study on Fluid Flow in Nanochannels With Permeable Walls
Xie, Jianfei and Cao, Bing-Yang 2016. Molecular Dynamics Study on Fluid Flow in Nanochannels With Permeable Walls. https://doi.org/10.1115/mnhmt2016-6421
Effective mean free path and viscosity of confined gases
Xie, Jianfei 2019. Effective mean free path and viscosity of confined gases. Physics of Fluids. 31 (7), p. 072002. https://doi.org/10.1063/1.5108627