Passive scalar interface in a spatially evolving mixing layer (A. Attili and D. Denker)

Quartz nozzle sampling (D. Felsmann)

Dissipation element analysis of a planar diffusion flame (D. Denker)

Turbulent/non-turbulent interface in a temporally evolving jet (D. Denker)

Dissipation elements crossing a flame front (D. Denker and B. Hentschel)

Particle laden flow (E. Varea)

Turbulent flame surface in non-premixed methane jet flame (D. Denker)

DNS of primary break up (M. Bode)

Diffusion flame in a slot Bunsen burner (S. Kruse)

Various quantities in spatially evolving jet diffusion flame (D. Denker)

Florian vom Lehn, M. Sc.

E-Mail: f.vom.lehn(at)


              Institut für Technische Verbrennung
              RWTH Aachen University
              Templergraben 64
              52056 Aachen

Telefon: +49 (0)241 80-94613
Telefax: +49 (0)241 80-92923

Büro:  208.1 (2. Etage)



  • Reaktionskinetik
  • Optimierung von Reaktionsmechanismen
  • Uncertainty Quantification (UQ)
  • Modellbasierte statistische Versuchsplanung
  • Gruppenbeitragsmethoden für die Thermochemie
  • QSPR-Modellierung von Kraftstoffparametern
  • Machine Learning


  • Mehrphasenströmung


  • F. vom Lehn, B. Brosius, R. Broda, L. Cai and H. Pitsch. Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity. Fuel, vol. 281, page 118772, 2020. [DOI]
  • F. vom Lehn, L. Cai and H. Pitsch. Investigating the impacts of thermochemical group additivity values on kinetic model predictions through sensitivity and uncertainty analyses. Combustion and Flame, vol. 213, pages 394-408, 2020. [DOI]
  • L. Cai, S. Jacobs, R. Langer, F. vom Lehn, K.A. Heufer and H. Pitsch. Auto-ignition of oxymethylene ethers (OMEn, n = 2–4) as promising synthetic e-fuels from renewable electricity: shock tube experiments and automatic mechanism generation. Fuel, vol. 264, page 116711, 2020. [DOI]
  • A. Deshmukh, M. Davidovic, T. Grenga, L. Schumacher, V. Kirsch, J. Palmer, M.A. Reddemann, M. Hofmeister, A. Wildenberg, S. Jacobs, F. vom Lehn, L. Cai, T. Ottenwälder, S. Pischinger, K. Leonhard, K.A. Heufer, K. Schmitz, R. Kneer and H. Pitsch. Bio-hybrid Fuels: From Molecular Structure to Combustion and Emissions. In Proceedings of the 8th International Conference „Fuel Science – From Production to Propulsion“, June 23-25, Aachen, Germany, 2020.
  • L. Cai, F. vom Lehn, R. Langer and H. Pitsch. Highly-automated model development for promising e-fuels from renewable electricity. In Fuels, Processes, and Combustion Physics in the Energy Transformation - 715. WE-Heraeus-Seminar, 08-12 March, Bad Honnef, Germany, 2020.
  • F. vom Lehn, L. Cai and H. Pitsch. Thermochemical property estimation based on group additivity method: Impact of groups on kinetic model predictions. In Proceedings of the 9th European Combustion Meeting, April 14-17, Lisbon, Portugal, 2019.
  • F. vom Lehn, L. Cai and H. Pitsch. Sensitivity analysis, uncertainty quantification, and optimization for thermochemical properties in chemical kinetic combustion models. Proceedings of the Combustion Institute, vol. 37 no. 1, pages 771-779, 2019. [DOI]
  • P. Morsch, W.A. Kopp, F. vom Lehn, H. Pitsch, K. Leonhard and K.A. Heufer. Experimental and theoretical investigations on ethyl valerate – a bio-hybrid fuel. In 7th International Conference – Fuel Science: From Production to Propulsion, May 13th to 15th, Aachen, Germany, 2019.
  • L. Cai, S. Jacob, F. vom Lehn, R. Langer, K.A. Heufer and H. Pitsch. Automatic mechanism generation for auto-ignition of the promising e-fuels oxymethylene ethers (OMEn, n = 2-4). In Proceedings of the 1st International Conference on Smart Energy Carriers, January 21-23, Naples, Italy, 2019.
  • F. vom Lehn, B. Brosius, D. Brust, L. Cai and H. Pitsch. Using machine learning in model development for global fuel auto-ignition quantities. In 29. Deutscher Flammentag, September 17th-18th, Bochum, Germany, 2019.
  • F. vom Lehn, L. Cai and H. Pitsch. Diethyl ether mechanism with optimized thermochemistry and kinetics. In Proceedings of the 11th Mediterranean Combustion Symposium, June 16th-20th, Tenerife, Spain, 2019.
  • L. Cai, F. vom Lehn, B. Brosius, D. Brust and H. Pitsch. Using machine learning in model development for global fuel auto-ignition quantities. In China SAE Congress and Exhibition (SAECCE), October 22nd-24th, Shanghai, China, 2019.
  • F. vom Lehn, L. Cai and H. Pitsch. Impact of thermochemistry on optimized kinetic model predictions: Auto-ignition of diethyl ether. Combustion and Flame, vol. 210, pages 454-466, 2019. [DOI]
  • M. Bode, F. vom Lehn and H. Pitsch. Numerical Investigation of the Effect of Dissolved Non-Condensable Gases on Hydraulic Flip in Cavitating Nozzles. In Proceedings of the 10th International Symposium on Cavitation (CAV2018), May 14th-16th, Baltimore, USA, 2018.
  • D. Zabrodiec, J. Hees, A. Massmeyer, F. vom Lehn, M. Habermehl, O. Hatzfeld and R. Kneer. Experimental investigation of pulverized coal flames in CO2/O2- and N2/O2-atmospheres: Comparison of solid particle radiative characteristics. Fuel, vol. 201, pages 136 - 147, 2017. [DOI]
  • M. Bode, F. vom Lehn, S. Satcunanathan, V. Le Chenadec and H. Pitsch. Simulation of Hydraulic Flip in Cavitating Nozzles using One-Fluid and Two-Fluid Equilibrium Models. In The 3rd International Conference on Numerical Methods in Multiphase Flows, ICNMMF-III, June 26th-29th, Tokyo, Japan, 2017.

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