CFD Methodology to Capture the Combustion Behavior of a Conventional Diesel Engine Retrofitted to Operate in Gasoline Compression Ignition Mode

Davide Viscione, Vittorio Ravaglioli (), Valerio Mariani, Giacomo Silvagni and Gian Marco Bianchi
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Davide Viscione: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy
Vittorio Ravaglioli: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy
Valerio Mariani: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy
Giacomo Silvagni: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy
Gian Marco Bianchi: Department of Industrial Engineering, Università di Bologna, Via Fontanelle 40, 47121 Forlì, Italy

Energies, 2024, vol. 17, issue 16, 1-14

Abstract: The need for a cleaner and more efficient transportation sector emphasizes the development of new technologies aimed at the integrated reduction of pollutant emissions and increases in efficiency. Among these, promising technologies such as low-temperature combustion (LTC) systems operate in the field of the combustion physics, combining the attributes of both spark-ignited (SI) and compression-ignited (CI) engines. In particular, in a gasoline compression ignition (GCI) engine, gasoline is injected in closely spaced multiple pulses near the top dead center (TDC), creating a highly stratified charge which locally auto-ignites based on the thermodynamic conditions. In this work, a sectorial mesh of the combustion chamber was built. Initial and boundary conditions were set according to a one-dimensional model of the engine from a GT-suite platform. Then, a dedicated Matlab R2023b code was used to capture the effect of the pressure wave propagation on the shape of the fuel mass rate in closely spaced multiple injection events. Finally, a 3D-CFD code was validated comparing pressure trace, rate of heat release ( RoHR ) and emissions with experimental data provided by the test bench. The results highlight the robustness of the tabulated combustion model, which is able to capture the auto-ignition delay with a considerably low amount of computational time compared to common detailed kinetic solvers.

Keywords: gasoline compression ignition; injection strategy; computational fluid dynamics; low-temperature combustion; emissions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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