Development of a virtual methodology based on physical and data-driven models to optimize engine calibration

Boccardo, Giulio; Piano, Andrea; Zanelli, Alessandro; Babbi, M.; Cambriglia, L.; Mosca, S.; Millo, Federico

doi:10.1016/j.treng.2022.100143

Transportation Engineering

2022

DOI: 10.1016/j.treng.2022.100143

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Development of a virtual methodology based on physical and data-driven models to optimize engine calibration

Giulio Boccardo¹,

Andrea Piano

Alessandro Zanelli³

et al.

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Cited by 10 publications

References 23 publications

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Environ Sci Pollut Res

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Development of a virtual methodology based on physical and data-driven models to optimize engine calibration

Cited by 10 publications

References 23 publications

Investigation on nanostructure, surface functional groups, and oxidation activity of particulate along the exhaust after-treatment of a diesel engine fueled with waste cooking oil biodiesel blends

Investigation on nanostructure, surface functional groups, and oxidation activity of particulate along the exhaust after-treatment of a diesel engine fueled with waste cooking oil biodiesel blends

Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with Tree-based algorithms

An indirect approach to optimize the reaction rates of thermal NO formation for diesel engines

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