Model-based optimization of the calibration through Design of Experiments in a diesel engine running with conventional fuel and HVO

The aim of this thesis is to perform the optimization of the calibration for the F1A diesel engine for different fuels (diesel B7 EN590 and HVO) in a regime of convectional compressed ignition CI combustion. The main investigated outputs are the pollutants (NOx, soot, HC, CO), BSFC and combustion noise CN. The optimization was carried out on the base of Design of Experiments DoE that include statistical techniques aimed at the design and development of controlled tests and subsequent modelling based on their results. Starting from the creation of variation list of experiments based on non-factorial techniques proceeding with data collection and screening to finally arrives to the model fitting and validation till the optimization on the base of prefixed performance goals. In doing so the capabilities of ETAS ASCMO will be compared to the ones of the MATLAB specific toolboxes MBC and CAGE and the applied methodologies described. The optimized points obtained from both the software were compared by testing them in the test cell, to understand which of the two modelling and optimization methods gives results closer to those obtained during the tests.