[HTML][HTML] Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models

RSM Freitas, ÁPF Lima, C Chen, FA Rochinha, D Mira… - Fuel, 2022 - Elsevier
Accurate determination of fuel properties of complex mixtures over a wide range of pressure
and temperature conditions is essential to utilizing alternative fuels. The present work aims …

Modeling and LES of high-pressure liquid injection under evaporating and non-evaporating conditions by a real fluid model and surface density approach

H Gaballa, C Habchi, JC de Hemptinne - International Journal of …, 2023 - Elsevier
Numerical modeling of high-pressure liquid fuel injection remains a challenge in various
applications. Indeed, experimental observations have shown that injected liquid fuel jet …

In situ adaptive tabulation of vapor-liquid equilibrium solutions for multi-component high-pressure transcritical flows with phase change

H Zhang, N Srinivasan, S Yang - Journal of Computational Physics, 2024 - Elsevier
Vapor-liquid equilibrium (VLE) is a family of first-principled thermodynamic models for
transcritical multiphase flows, which can accurately capture the phase transitions at high …

Machine-learning based prediction of injection rate and solenoid voltage characteristics in GDI injectors

H Oh, J Hwang, LM Pickett, D Han - Fuel, 2022 - Elsevier
Current state-of-the-art gasoline direct-injection (GDI) engines use multiple injections as one
of the key technologies to improve exhaust emissions and fuel efficiency. For this technology …

Numerical investigation of droplet evaporation in high-pressure dual-fuel conditions using a tabulated real-fluid model

H Gaballa, S Jafari, C Habchi… - International Journal of …, 2022 - Elsevier
The substitution of diesel by cleaner renewable fuels such as short-chain alcohols in dual-
fuel internal combustion engines is considered an attractive solution to reduce the pollutant …

Modeling of thermophysical properties and vapor-liquid equilibrium using Gaussian process regression

M Zhou, C Ni, CL Sung, S Ding, X Wang - International Journal of Heat and …, 2024 - Elsevier
Thermophysical properties are essential in the numerical simulation of fluid flows and
combustion in propulsion and power-generation systems. Existing property evaluation tools …

Thermodynamic modeling for numerical simulations based on the generalized cubic equation of state

T Trummler, M Glatzle, A Doehring, N Urban… - Physics of …, 2022 - pubs.aip.org
We further elaborate on the generalized formulation for cubic equation of state proposed by
Cismondi and Mollerup [Fluid Phase Equilib. 232, 74–89 (2005)]. With this formulation, all …

Transient mixing behavior of a supercritical fluid injected into supercritical and subcritical environments

CT Wanstall, JA Bittle, AK Agrawal - Physics of Fluids, 2022 - pubs.aip.org
Transient, near-field mixing of a supercritical fluid injected into supercritical and subcritical
environments is investigated experimentally. Fuel (propane) from a 100 μm diameter Bosch …

Development of a smart multiphase system for disperse flows using machine learning

M Broumand, S Yun, Z Hong - International Journal of Multiphase Flow, 2024 - Elsevier
The present study aims at developing a smart multiphase system for efficiency improvement,
loss prevention, and sustainability in industrial processes by leveraging the unprecedented …

Advancing Fuel Spray Characterization: A Machine Learning Approach for Directly Injected Gasoline Fuel Sprays

S Khan, M Masood, M Medina, F Alzahrani - Fuel, 2024 - Elsevier
Compression ignition engines when operated on gasoline fuels cause significant reduction
in NO x and particulate emissions. In such advanced combustion strategy, the fuel-oxidiser …