The potential of statistical RANS to predict knock tendency: Comparison with LES and experiments on a spark-ignition engine
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DOI: 10.1016/j.apenergy.2019.04.093
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Cited by:
- Simone Sparacino & Fabio Berni & Alessandro d’Adamo & Vesselin Krassimirov Krastev & Andrea Cavicchi & Lucio Postrioti, 2019. "Impact of the Primary Break-Up Strategy on the Morphology of GDI Sprays in 3D-CFD Simulations of Multi-Hole Injectors," Energies, MDPI, vol. 12(15), pages 1-24, July.
- Zhen, Xudong & Tian, Zhi & Wang, Yang & Xu, Meng & Liu, Daming & Li, Xiaoyan, 2022. "Knock analysis of bio-butanol in TISI engine based on chemical reaction kinetics," Energy, Elsevier, vol. 239(PC).
- Del Pecchia, Marco & Fontanesi, Stefano & Prager, Jens & Kralj, Cedomir & Lehtiniemi, Harry, 2020. "A threshold soot index-based fuel surrogate formulation methodology to mimic sooting tendency of real fuels in 3D-CFD simulations," Applied Energy, Elsevier, vol. 280(C).
- Thomas Lauer & Jens Frühhaber, 2020. "Towards a Predictive Simulation of Turbulent Combustion?—An Assessment for Large Internal Combustion Engines," Energies, MDPI, vol. 14(1), pages 1-26, December.
- d'Adamo, A. & Iacovano, C. & Fontanesi, S., 2020. "Large-Eddy simulation of lean and ultra-lean combustion using advanced ignition modelling in a transparent combustion chamber engine," Applied Energy, Elsevier, vol. 280(C).
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Keywords
Cycle-to-cycle variability; Large-Eddy simulation; Statistical RANS; Combustion; Auto-ignition; Knock intensity;All these keywords.
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