A Numerical Methodology to Test the Lubricant Oil Evaporation and Its
Thermal Management-Related Properties Derating in Hydrogen-Fueled
Engines 03-17-02-0015
This also appears in
SAE International Journal of Engines-V133-3EJ
Due to the incoming phase out of fossil fuels from the market in order to reduce
the carbon footprint of the automotive sector, hydrogen-fueled engines are
candidate mid-term solution. Thanks to its properties, hydrogen promotes flames
that poorly suffer from the quenching effects toward the engine walls. Thus,
emphasis must be posed on the heat-up of the oil layer that wets the cylinder
liner in hydrogen-fueled engines. It is known that motor oils are complex
mixtures of a number of mainly heavy hydrocarbons (HCs); however, their
composition is not known a priori. Simulation tools that can support the early
development steps of those engines must be provided with oil composition and
properties at operation-like conditions. The authors propose a statistical
inference-based optimization approach for identifying oil surrogate
multicomponent mixtures. The algorithm is implemented in Python and relies on
the Bayesian optimization technique. As a benchmark, the surrogate for the
SAE5W30 commercial multigrade oil has been determined. Then, this multicomponent
surrogate and a SAE5W30 pseudo-pure are compared by means of an oil film model,
which accounts for oil heat exchange with the cylinder wall and the gases from
hydrogen combustion, and its evaporation. The results in terms of oil film
temperature, viscosity, and thickness under hydrogen-engine boundaries are
evaluated. Analyses reveal that the optimized multicomponent mixture behavior is
more realistic and can outperform the pseudo-pure approach when the oil phase
change and the oil-in-cylinder presence must be considered.
Citation: De Renzis, E., Mariani, V., Bianchi, G., Cazzoli, G. et al., "A Numerical Methodology to Test the Lubricant Oil Evaporation and Its Thermal Management-Related Properties Derating in Hydrogen-Fueled Engines," SAE Int. J. Engines 17(2):255-267, 2024, https://doi.org/10.4271/03-17-02-0015. Download Citation
Author(s):
Edoardo De Renzis, Valerio Mariani, Gian Marco Bianchi, Giulio Cazzoli, Stefania Falfari
Affiliated:
University of Bologna, Department of Industrial Engineering,
Italy
Pages: 14
ISSN:
1946-3936
e-ISSN:
1946-3944
Related Topics:
Heat exchangers
Combustion and combustion processes
Lubricating oils
Engines
Engine cylinders
Mathematical models
Optimization
Hydrocarbons
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