PULGA, LEONARDO
PULGA, LEONARDO
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Comparison between Conventional and Non-Conventional Computer Methods to Define Antiknock Properties of Fuel Mixtures
2022 Leonardo Pulga; Diego Lacrimini; Claudio Forte; Valerio Mariani; Stefania Falfari; Gian Marco Bianchi
Numerical Evaluation of the Effect of Fuel Blending with CO2 and H2 on the Very Early Corona-Discharge Behavior in Spark Ignited Engines
2022 Mariani, Valerio; La Civita, Giorgio; Pulga, Leonardo; Ugolini, Edoardo; Ghedini, Emanuele; Falfari, Stefania; Cazzoli, Giulio; Bianchi, Gian Marco; Forte, Claudio
Machine learning-based identification strategy of fuel surrogates for the CFD simulation of stratified operations in low temperature combustion modes
2021 Mariani V.; Pulga L.; Bianchi G.M.; Falfari S.; Forte C.
PWI and DWI Systems in Modern GDI Engines: Optimization and Comparison Part II: Reacting Flow Analysis
2021 Falfari S.; Bianchi G.M.; Pulga L.; Forte C.
A Bayesian neural network methodology to predict the liquid phase diffusion coefficient
2020 Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G.
A machine learning methodology for improving the accuracy of laminar flame simulations with reduced chemical kinetics mechanisms
2020 Pulga L.; Bianchi Gian Marco; Falfari S.; Forte C.
Advanced combustion modelling of high bmep engines under water injection conditions with chemical correlations generated with detailed kinetics and machine learning algorithms
2020 Pulga L.; Falfari S.; Bianchi G.M.; Ricci M.; Forte C.
Application of deep neural networks to the prediction of the ignition delay time of gasoline PRF and TRF surrogates with the addition of oxygenates for CFD engine simulations
2020 Leonardo Pulga, Gian Marco Bianchi, Giulio Cazzoli, Valerio Mariani, Claudio Forte
Development of a Novel Machine Learning Methodology for the Generation of a Gasoline Surrogate Laminar Flame Speed Database under Water Injection Engine Conditions
2020 Leonardo Pulga , Gian Bianchi , Matteo Ricci , Giulio Cazzoli , Claudio Forte
Neural network-based prediction of liquid-phase diffusion coefficient to model fuel-oil dilution on engine cylinder walls
2020 Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G.; Falfari S.
Numerical Aspects Affecting Heat Transfer in ICE Applications and Definition of a Temperature Wall Function Accounting for the Boundary Layer Compressibility
2019 Ricci, M. and Pulga, L. and Bianchi, G.M. and Falfari, S. and Forte, C.