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Technical Paper

Optimization of the IC Engine Piston Skirt Design Via Neural Network Surrogate and Genetic Algorithms

2024-04-09
2024-01-2603
Internal combustion (IC) engines still power most of the vehicles on road and will likely to remain so in the near future, especially for heavy duty applications in which electrification is typically more challenging. Therefore, continued improvements on IC engines in terms of efficiency and longevity are necessary for a more sustainable transportation sector. Two important design objectives for heavy duty engines with wet liners are to reduce friction loss and to lower the risks of cavitation damages, both of which can be greatly influenced by the piston-liner clearance and the design of the piston skirt. However, engine design optimization is difficult due to the nonlinear interactions between the key design variables and the design objectives, as well as the multi-physics and multi-scale nature of the mechanisms that are relevant to the design objectives.
Technical Paper

Reduction in Exhaust Noise Through Exhaust Valving Modifications Achieved with a Gas Dynamics Simulation Model

1991-02-01
910617
One of advanced requirements in current high output power engine design, as is seen in a four valve engine, is to reduce the exhaust noise without a reduction in engine performance. In order to examine the relationship between output and exhaust noise level, a gas dynamics simulation model was extended so as to predict the exhaust generated noise. The gas dynamics model used in this study is developed based on a finite difference method in which unsteady compressible flow is solved by two-step Lax-Wendroff method. Using this simulation model, timing changes were found to be effective in reducing the exhaust noise level without showing any trade-off on engine performance. These results were validated by the experiment.
Journal Article

The Underlying Physics and Chemistry behind Fuel Sensitivity

2010-04-12
2010-01-0617
Recent studies have shown that for a given RON, fuels with a higher sensitivity (RON-MON) tend to have better antiknock performance at most knock-limited conditions in modern engines. The underlying chemistry behind fuel sensitivity was therefore investigated to understand why this trend occurs. Chemical kinetic models were used to study fuels of varying sensitivities; in particular their autoignition delay times and chemical intermediates were compared. As is well known, non-sensitive fuels tend to be paraffins, while the higher sensitivity fuels tend to be olefins, aromatics, diolefins, napthenes, and alcohols. A more exact relationship between sensitivity and the fuel's chemical structure was not found to be apparent. High sensitivity fuels can have vastly different chemical structures. The results showed that the autoignition delay time (τ) behaved differently at different temperatures. At temperatures below 775 K and above 900 K, τ has a strong temperature dependence.
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