De Renzis E.; Mariani V.; Bianchi G.M.; Falfari S.; Cazzoli G., Application of a one-dimensional fuel-oil dilution model coupled with an empirical droplet-to-film formation strategy for predicting in-cylinder oil effects in a direct injection engine, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2385, Article number: 012063, pp. 1 - 11 [articolo]Open Access
Leonardo Pulga; Diego Lacrimini; Claudio Forte; Valerio Mariani; Stefania Falfari; Gian Marco Bianchi, Comparison between Conventional and Non-Conventional Computer Methods to Define Antiknock Properties of Fuel Mixtures, «FUELS», 2022, 3, pp. 217 - 231 [articolo]Open Access
Mariani, Valerio; La Civita, Giorgio; Pulga, Leonardo; Ugolini, Edoardo; Ghedini, Emanuele; Falfari, Stefania; Cazzoli, Giulio; Bianchi, Gian Marco; Forte, Claudio, Numerical Evaluation of the Effect of Fuel Blending with CO2 and H2 on the Very Early Corona-Discharge Behavior in Spark Ignited Engines, «ENERGIES», 2022, 15, Article number: 1426, pp. 1 - 19 [articolo]Open Access
Viscione D.; Bianchi G.M.; Ravaglioli V.; Falfari S.; Cazzoli G.; Silvagni G.; Mariani V.; Corsi M., 1D-3D coupled approach for the evaluation of the in-cylinder conditions for Gasoline Compression Ignition Combustion, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2385, Article number: 012067, pp. 1 - 14 [articolo]Open Access
De Renzis E. , Mariani V. , Bianchi G. M. , Cazzoli G. , Falfari S. , Antetomaso C. , Irimescu A., Implementation of a multi-zone numerical blow-by model and its integration with cfd simulations for estimating collateral mass and heat fluxes in optical engines, «ENERGIES», 2021, 14, Article number: 8566, pp. 1 - 21 [articolo]Open Access
Mariani V.; Pulga L.; Bianchi G.M.; Falfari S.; Forte C., Machine learning-based identification strategy of fuel surrogates for the CFD simulation of stratified operations in low temperature combustion modes, «ENERGIES», 2021, 14, Article number: 4623, pp. 1 - 22 [articolo]Open Access
Falfari S.; Bianchi G.M.; Pulga L.; Forte C., PWI and DWI Systems in Modern GDI Engines: Optimization and Comparison Part II: Reacting Flow Analysis, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 14 (atti di: SAE 2021 WCX Digital Summit, usa, 2021) [Contributo in Atti di convegno]Open Access
Falfari, S.; Bianchi, G. M.; Cazzoli, G.; Forte, C., Thermal Efficiency Enhancement for Future Rightsized Boosted GDI Engines - Effectiveness of the Operation Point Strategies Depending on the Engine Type, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 21 (atti di: SAE 15th International Conference on Engines and Vehicles, ICE 2021, ita, 2021) [Contributo in Atti di convegno]Open Access
Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G., A Bayesian neural network methodology to predict the liquid phase diffusion coefficient, «INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER», 2020, 161, Article number: S0017931020332452, pp. 1 - 9 [articolo]Open Access
Pulga L.; Bianchi Gian Marco; Falfari S.; Forte C., A machine learning methodology for improving the accuracy of laminar flame simulations with reduced chemical kinetics mechanisms, «COMBUSTION AND FLAME», 2020, 216, pp. 72 - 81 [articolo]Open Access
Mariani V.; Bianchi G.M.; Cazzoli G.; Falfari S., A one-dimensional model for the motor oil-fuel dilution under gasoline engine boundary conditions, «E3S WEB OF CONFERENCES», 2020, 197, Article number: 06004, pp. 1 - 15 [articolo]Open Access
Pulga L.; Falfari S.; Bianchi G.M.; Ricci M.; Forte C., Advanced combustion modelling of high bmep engines under water injection conditions with chemical correlations generated with detailed kinetics and machine learning algorithms, «SAE INTERNATIONAL JOURNAL OF ADVANCES AND CURRENT PRACTICES IN MOBILITY», 2020, 1, Article number: 2020-01-2008, pp. 77 - 94 [articolo]Open Access
Leonardo Pulga, Gian Marco Bianchi, Giulio Cazzoli, Valerio Mariani, Claudio Forte, 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, in: Proceedings of THIESEL 2020 Thermo and fluid dynamic processes in direct injection engines, 2020, pp. 195 - 205 (atti di: THIESEL 2020 Thermo and fluid dynamic processes in direct injection engines, Online conference, 8-11 Settembre 2020) [Contributo in Atti di convegno]
Leonardo Pulga , Gian Bianchi , Matteo Ricci , Giulio Cazzoli , 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, «SAE INTERNATIONAL JOURNAL OF FUELS AND LUBRICANTS», 2020, 13, Article number: 04-13-01-0001, pp. 1 - 13 [articolo]Open Access
Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G.; Falfari S., Neural network-based prediction of liquid-phase diffusion coefficient to model fuel-oil dilution on engine cylinder walls, «SAE INTERNATIONAL JOURNAL OF ENGINES», 2020, 13, Article number: 03-13-05-0041, pp. 649 - 664 [articolo]Open Access
