Foto del docente

Gian Marco Bianchi

Professore ordinario

Dipartimento di Ingegneria Industriale

Settore scientifico disciplinare: ING-IND/08 MACCHINE A FLUIDO

Coordinatore del Corso di Laurea Magistrale in Ingegneria meccanica


Viscione D.; Mariani V.; Falfari S.; Bianchi G.M.; Ravaglioli V.; Silvagni G.; Montanaro A.; Allocca L., Unconventional gasoline spray injection events: Compared evolution of experimental data and numerical simulations, «FUEL», 2024, 355, Article number: 129438, pp. 1 - 18 [articolo]Open Access

Falfari, Stefania; Bianchi, Gian Marco, Concerns on Full Electric Mobility and Future Electricity Demand in Italy, «ENERGIES», 2023, 16, Article number: 1704, pp. 1 - 27 [articolo]Open Access

Viscione, D; Brancaleoni, PP; Silvagni, G; Ravaglioli, V; Bianchi, GM; Moro, D; De Cesare, M; Stola, F, Experimental characterization of the injected mass variation in a high-pressure GDI injector operating with a multiple injection strategy, «INTERNATIONAL JOURNAL OF ENGINE RESEARCH», 2023, 24, pp. 1 - 16 [articolo]

Viscione D.; Silvagni G.; Falfari S.; Bianchi G.M.; Ravaglioli V.; Mariani V.; Allocca L.; Montanaro A.; Meccariello G., Experimental-Numerical Analysis of Gasoline Spray-Wall Impingement at Ultra-High Injection Pressure for GCI Application, in: SAE Technical Papers, 2023, 1, pp. 1 - 10 (atti di: 16th International Conference on Engines & Vehicles, Capri, Italy, 10th - 14th September, 2023) [Contributo in Atti di convegno]

Falfari S.; Cazzoli G.; Mariani V.; Bianchi G.M., Hydrogen Application as a Fuel in Internal Combustion Engines, «ENERGIES», 2023, 16, Article number: 2545, pp. 1 - 13 [articolo]Open Access

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]

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]

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: 120309, pp. 1 - 8 [articolo]

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]