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Sebastian Hann describes the development of a quasi-dimensional burn rate model that enables the prediction of a fuel variation, without the need for a recalibration of the model. The model is valid for spark-ignition combustion engines powered by conventional and carbon-neutral fuels. Its high predictive ability was achieved by modeling the fuel-dependent laminar flame speed based on reaction kinetics calculations. In addition, the author discards a fuel influence on flame wrinkling by performing an engine measurement data analysis. He investigates the fuel influence on engine knock and…mehr

Produktbeschreibung
Sebastian Hann describes the development of a quasi-dimensional burn rate model that enables the prediction of a fuel variation, without the need for a recalibration of the model. The model is valid for spark-ignition combustion engines powered by conventional and carbon-neutral fuels. Its high predictive ability was achieved by modeling the fuel-dependent laminar flame speed based on reaction kinetics calculations. In addition, the author discards a fuel influence on flame wrinkling by performing an engine measurement data analysis. He investigates the fuel influence on engine knock and models it via ignition delay times obtained from reaction kinetics calculations.
Autorenporträt
Sebastian Hann works as a research assistant in the field of 0D/1D simulation at the Institute of Automotive Engineering, University of Stuttgart. He dealt with the investigation and modeling of the fuel influence on spark-ignition engine combustion and engine knock. In addition to conventional fuels, he also considered carbon-neutral fuels.