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)itv.rwth-aachen.de

             Reaktionskinetik

Adresse:
              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)


Arbeitsgebiete

Forschung

  • Reaktionskinetik
  • Optimierung & Reduktion von Reaktionsmechanismen
  • Uncertainty Quantification (UQ)
  • Modellbasierte statistische Versuchsplanung
  • Gruppenbeitragsmethoden
  • QSPR-Modellierung von Kraftstoffparametern
  • Machine Learning
  • Synthetische und bio-basierte Kraftstoffe
  • Fuel Design

Lehre

  • Mehrphasenströmung (WS 2017/18 - SS 2020)

Publikationen

  • R. Langer, J. Lotz, L. Cai, F. vom Lehn, K. Leppkes, U. Naumann and H. Pitsch. Adjoint sensitivity analysis of kinetic, thermochemical, and transport data of nitrogen and ammonia chemistry. Proceedings of the Combustion Institute, vol. 38, pages 777-785, 2021. [DOI]
  • M. Doentgen, WA. Kopp, F. vom Lehn, LC. Kroeger, H. Pitsch, K. Leonhard and KA. Heufer. Updated thermochemistry for renewable transportation fuels: New groups and group values for acetals and ethers, their radicals, and peroxy species. International Journal of Chemical Kinetics, vol. 53, pages 299-307, 2021. [DOI]
  • F. vom Lehn, L. Cai, B. C. Caceres and H. Pitsch. Exploring the fuel structure dependence of laminar burning velocity: A machine learning based group contribution approach. Combustion and Flame, vol. 232, 2021. [DOI]
  • F. vom Lehn, L. Cai, R. Tripathi, R. Broda and H. Pitsch. A property database of fuel compounds with emphasis on spark-ignition engine applications. Applications in Energy and Combustion Science, vol. 5, page 100018, 2021.
  • F. vom Lehn, L. Cai and H. Pitsch. Iterative model-based experimental design for efficient uncertainty minimization of chemical mechanisms. Proceedings of the Combustion Institute, vol. 38, pages 1033-1042, 2021. [DOI]
  • S. Eckart, L. Cai, C. Fritsche, F. vom Lehn, H. Pitsch and H. Krause. Laminar burning velocities, CO, and NOx emissions of premixed polyoxymethylene dimethyl ether flames. Fuel, vol. 238, page 120321, 2021. [DOI]
  • S. Eckart, C. Liming, C. Fritsche, F. vom Lehn, H. Pitsch and H. Krause. Laminar Burning Velocities, CO and NOx Emissions of premixed Polyoxymethlene Dimethyl ether flames. In 38th International Symposium on Combustion, Adelaide, Australia, 24.01 - 29.01. 2021.
  • L. Cai, F. vom Lehn and H. Pitsch. Higher Alcohol and Ether Biofuels for Compression-Ignition Engine Application: A Review with Emphasis on Combustion Kinetics. Energy & Fuels, vol. 35, pages 1890-1917, 2021. [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, 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]
  • L. Cai, F. vom Lehn and H. Pitsch. Fuel Design for Advanced Combustion Modes. In SAE China Congress and Exhibition (SAECCE), October 20-24, Shanghai (China), 2020.
  • F. vom Lehn, L. Cai, M. Döntgen, K. Leonhard, K.A. Heufer and H. Pitsch. Importance of thermochemistry for accurate kinetic model predictions: Uncertainty analysis and optimization studies. In 5th International Flame Chemistry Workshop, November 30 - December 04, Adelaide (Australia) / Online, 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, 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.
  • 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.
  • 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.

Offene Stellen/Arbeiten

Bei Interesse an Abschlussarbeiten oder Hiwistellen bitte eine E-Mail mit Lebenslauf und Notenspiegel schicken. Abhängig von den Interessen und Vorkenntnissen kann ein individueller Themenvorschlag gemacht werden.