Tobias Falkenstein

E-Mail: t.falkenstein(at)itv.rwth-aachen.de
Adresse:
Institut für Technische Verbrennung
RWTH Aachen University
Templergraben 64
D-52056 Aachen
Telefon: +49 (0)241 80-97592
Telefax: +49 (0)241 80-92923
Büro: 220, 2. Etage
Arbeitsgebiete
Forschung
- Large Eddy Simulation der motorischen Verbrennung
- Numerische Methoden zur Berechnung von kompressiblen reaktiven Strömungen
- Untersuchung von neuartigen Biokraftstoffen hinsichtlich Gemischbildungs- und Verbrennungseigenschaften
Lehre
- -
Publikationen
- Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein and Heinz Pitsch. Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data. Proceedings of the Combustion Institute, vol. 39 no. 4, pages 5289-5298, 2023. [DOI]
- M. Bode, A. Y. Deshmukh, T. Falkenstein, S. Kang and H. Pitsch. Hybrid scheme for complex flows on staggered grids and application to multiphase flows. Journal of Computational Physics, 2023.
- T. Falkenstein, M. Davidovic, A. Attili, M. Bode, H. Chu, S. Kang, H. Pitsch and H. Taniguchi. LES Modeling Study on Cycle-to-Cycle Variations in a DISI Engine. SAE Technical Paper, vol. 2020-01-0242, 2020. [DOI]
- T. Falkenstein, S. Kang and H. Pitsch. Analysis of premixed flame kernel/turbulence interactions under engine conditions based on direct numerical simulation data. Journal of Fluid Mechanics, vol. 885, page A32, 2020. [DOI]
- T. Falkenstein, S. Kang, L. Cai, M. Bode and H. Pitsch. DNS study of the global heat release rate during early flame kernel development under engine conditions. Combustion and Flame, vol. 213, pages 455 - 466, 2020. [DOI]
- T. Falkenstein, M. Davidovic, H. Hongchao, M. Bode, S. Kang, H. Pitsch, K. Murayama and H. Taniguchi. Experiments and Large-Eddy Simulation for a Flowbench Configuration of the Darmstadt Optical Engine Geometry. SAE International, 2020. [DOI]
- T. Falkenstein, A. Rezchikova, R. Langer, M. Bode, S. Kang and H. Pitsch. The role of differential diffusion during early flame kernel development under engine conditions - part I: Analysis of the heat-release-rate response. Combustion and Flame, vol. 221, pages 502-515, 11 2020. [DOI]
- W. Pan, M. Korkmaz, J. Beeckmann, T. Falkenstein and H. Pitsch. A data-based model for diesel combustion control using ANN coupled with PCA. In Symposium for Combustion Control, June 5th-6th, Aachen, Germany, 2019.
- S. Farazi, J. Hinrichs, M. Davidovic, T. Falkenstein, M. Bode, S. Kang, A. Attili and H. Pitsch. Numerical investigation of coal particle stream ignition in oxy-atmosphere. Fuel, vol. 241, pages 477-487, 2019. [DOI]
- Metin Korkmaz, Raghavan Lakshmanan, Tobias Falkenstein, Joachim Beeckmann and Heinz Pitsch. Experimental and Numerical Investigation of the Maximum Pressure Rise Rate for an LTC Concept in a Single Cylinder CI Engine. SAE Technical Paper, vol. 24 no. 0023, 2019. [DOI]
- A.Y. Deshmukh, M. Bode, T. Falkenstein, M. Khosravi, D. van Bebber, M. Klaas, W. Schröder and H. Pitsch. Simulation and Modeling of Direct Gas Injection through Poppet-type Outwardly-opening Injectors in Internal Combustion Engines, pages 65-115. Natural Gas Engines. Springer, Singapore, 2018. [DOI]
- A. Y. Deshmukh, T. Falkenstein, H. Pitsch, M. Khosravi, D. van Bebber, M. Klaas and W. Schröder. Numerical Investigation of Direct Gas Injection in an Optical Internal Combustion Engine. SAE International Journal of Engines, vol. 11 no. 6, pages 1447-1478, 2018. [DOI]
- T. Falkenstein, M. Davidovic, H. Chu, K. Kleinheinz, M. Bode, S. Kang and H. Pitsch. DNS and LES of Early Flame Kernel Development in Spark Ignition Engines. In LES for Internal Combustion Engine Flows LES4ICE, 11th – 12th December, France, 2018.
Offene Stellen / Arbeiten
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Aktuelle Themen:
- Analysis of Numerical Methods for Boundary Treatment in Wall-Bounded Turbulent Flow Simulations
- Large-Eddy Simulationen der Motorinnenströmung
- Entwicklung einer Wandfunktion zur Modellierung der Grenzschicht in Large-Eddy Simulationen
- Weiterentwicklung von Modellen für Einspritzstrahlzerfall und Wandinteraktion
- Entwicklung von Methoden zur Modellierung von komplexen Geometrien auf strukturierten Gittern (Immersed-boundary, Cut-Cell)
- Weiterentwicklung von effizienten Lösungsalgorithmen für partielle Differentialgleichungen (Newton-Krylov-Schwarz Algorithmus, Präkonditionierung)