Design optimization of an ethanol heavy-duty engine using Design of Experiments and Bayesian Optimization

The study investigates optimal piston bowl geometries for a multi-cylinder ethanol-fueled engine using CFD and DoE. A Bayesian optimization step further improved thermal efficiency with fewer simulation runs. The results highlight the impact of piston geometry on combustion efficiency, mixing, and in-cylinder temperature distributions.

Recommended citation: B. Tekgül, I. Liu, M. Vittal, R. Schanz, J. Blumreiter, B. Johnson, G. Magnotti. (2022). "Design optimization of an ethanol heavy-duty engine using Design of Experiments and Bayesian Optimization." ASME Internal Combustion Engine Division Fall Technical Conference.
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