FALFARI, STEFANIA
FALFARI, STEFANIA
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Docenti di ruolo di IIa fascia
Investigation of the GCI main injection: experimental-numerical analysis of gasoline spray impact at reference engine conditions
2025 Viscione, Davide; Mariani, Valerio; Bianchi, Gian Marco; Falfari, Stefania; Ravaglioli, Vittorio; Silvagni, Giacomo; Allocca, Luigi; Meccariello, Giovanni; Montanaro, Alessandro
Unconventional gasoline spray injection events: Compared evolution of experimental data and numerical simulations
2024 Viscione D.; Mariani V.; Falfari S.; Bianchi G.M.; Ravaglioli V.; Silvagni G.; Montanaro A.; Allocca L.
A Numerical Methodology to Test the Lubricant Oil Evaporation and Its Thermal Management-Related Properties Derating in Hydrogen-Fueled Engines
2023 De Renzis, Edoardo; Mariani, Valerio; Bianchi, Gian Marco; Cazzoli, Giulio; Falfari, Stefania
Application of a One-Dimensional Dilution and Evaporation Lubricant Oil Model to Predict Oil Evaporation under Different Engine Operative Conditions Considering a Large Hydrogen-Fuelled Engine
2023 De Renzis, Edoardo ; Mariani, Valerio ; Bianchi, Gian Marco ; Falfari, Stefania ; Cazzoli, Giulio
Comparison of Modern Powertrains Using an Energy Model Based on Well-to-Miles Analysis
2023 Falfari, Stefania ; Mariani, Valerio ; Bianchi, Gian Marco ; Cazzoli, Giulio
Concerns on Full Electric Mobility and Future Electricity Demand in Italy
2023 Falfari, Stefania; Bianchi, Gian Marco
Experimental-Numerical Analysis of Gasoline Spray-Wall Impingement at Ultra-High Injection Pressure for GCI Application
2023 Viscione D.; Silvagni G.; Falfari S.; Bianchi G.M.; Ravaglioli V.; Mariani V.; Allocca L.; Montanaro A.; Meccariello G.
Hydrogen Application as a Fuel in Internal Combustion Engines
2023 Falfari S.; Cazzoli G.; Mariani V.; Bianchi G.M.
1D-3D coupled approach for the evaluation of the in-cylinder conditions for Gasoline Compression Ignition Combustion
2022 Viscione D.; Bianchi G.M.; Ravaglioli V.; Falfari S.; Cazzoli G.; Silvagni G.; Mariani V.; Corsi M.
A numerical methodology based on CFD and plasma chemical kinetics simulations: a focus on the cyano radical
2022 Mariani V.; Civita G. L.; Cazzoli G.; Falfari S.; Ghedini E.; Merola S.; Irimescu A.; Antetomaso C.
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
2022 De Renzis E.; Mariani V.; Bianchi G.M.; Falfari S.; Cazzoli G.
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
Development of a Control-Oriented Ignition Delay Model for GCI Combustion
2022 Silvagni G.; Ravaglioli V.; Falfari S.; Ponti F.; Mariani V.
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
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
2021 De Renzis E. , Mariani V. , Bianchi G. M. , Cazzoli G. , Falfari S. , Antetomaso C. , Irimescu A.
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 I: Non-Reacting Flow Analysis
2021 Falfari S.; Cazzoli G.; Ricci M.; 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.
Thermal Efficiency Enhancement for Future Rightsized Boosted GDI Engines - Effectiveness of the Operation Point Strategies Depending on the Engine Type
2021 Falfari S.; Bianchi G.M.; Cazzoli G.; Forte C.
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.