Foto del docente

Gian Marco Bianchi

Full Professor

Department of Industrial Engineering

Academic discipline: ING-IND/08 Fluid Machinery

Director of Second Cycle Degree in Mechanical Engineering

Publications

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 [Scientific article]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 [Scientific article]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 [Scientific article]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, «SAE TECHNICAL PAPER», 2021, 1, pp. 1 - 14 (atti di: SAE 2021 WCX Digital Summit, usa, 2021) [Contribution to conference proceedings]

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, «SAE TECHNICAL PAPER», 2021, 1, pp. 1 - 21 (atti di: SAE 15th International Conference on Engines and Vehicles, ICE 2021, ita, 2021) [Contribution to conference proceedings]

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 [Scientific article]

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 [Scientific article]

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 [Scientific article]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 [Scientific article]

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) [Contribution to conference proceedings]

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 [Scientific article]

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 [Scientific article]

Giulio Cazzoli, Bianchi, Stefania Falfari, Matteo Ricci, Claudio Forte, EVALUATION OF WATER AND EGR EFFECTS ON COMBUSTION CHARACTERISTICS OF GDI ENGINES USING A CHEMICAL KINETICS APPROACH, «SAE TECHNICAL PAPER», 2019, 2019, Article number: 2019-24-0019 , pp. 1 - 11 [Scientific article]

Mariani Valerio, Bianchi, Cazzoli Giulio, Falfari Stefania, Fuel droplet-wall impingement under GDI-like conditions: A numerical investigation, in: 74TH ATI NATIONAL CONGRESS: Energy Conversion: Research, Innovation and Development for Industry and Territories, College Park, Maryland, American Institute of Physics Inc., 2019, 2191, pp. 1 - 10 (atti di: 74TH ATI NATIONAL CONGRESS: Energy Conversion: Research, Innovation and Development for Industry and Territories, Modena, Italy, 11–13 September 2019) [Contribution to conference proceedings]

Ricci, M. and Pulga, L. and Bianchi, G.M. and Falfari, S. and Forte, C., Numerical Aspects Affecting Heat Transfer in ICE Applications and Definition of a Temperature Wall Function Accounting for the Boundary Layer Compressibility, «SAE INTERNATIONAL JOURNAL OF ENGINES», 2019, 12, Article number: 03-12-05-0034 , pp. 525 - 541 [Scientific article]