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Florian vom Lehn
Florian vom Lehn
Verified email at itv.rwth-aachen.de
Title
Cited by
Cited by
Year
Auto-ignition of oxymethylene ethers (OMEn, n= 2–4) as promising synthetic e-fuels from renewable electricity: shock tube experiments and automatic mechanism generation
L Cai, S Jacobs, R Langer, F vom Lehn, KA Heufer, H Pitsch
Fuel 264, 116711, 2020
1072020
Sensitivity analysis, uncertainty quantification, and optimization for thermochemical properties in chemical kinetic combustion models
F vom Lehn, L Cai, H Pitsch
Proceedings of the Combustion Institute 37 (1), 771-779, 2019
632019
Laminar burning velocities, CO, and NOx emissions of premixed polyoxymethylene dimethyl ether flames
S Eckart, L Cai, C Fritsche, F vom Lehn, H Pitsch, H Krause
Fuel 293, 120321, 2021
492021
Higher alcohol and ether biofuels for compression-ignition engine application: a review with emphasis on combustion kinetics
L Cai, F vom Lehn, H Pitsch
Energy & Fuels 35 (3), 1890-1917, 2021
472021
Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity
F vom Lehn, B Brosius, R Broda, L Cai, H Pitsch
Fuel 281, 118772, 2020
452020
A property database of fuel compounds with emphasis on spark-ignition engine applications
F vom Lehn, L Cai, R Tripathi, R Broda, H Pitsch
Applications in Energy and Combustion Science 5, 100018, 2021
432021
Impact of thermochemistry on optimized kinetic model predictions: Auto-ignition of diethyl ether
F vom Lehn, L Cai, H Pitsch
Combustion and Flame 210, 454-466, 2019
432019
Exploring the fuel structure dependence of laminar burning velocity: A machine learning based group contribution approach
F vom Lehn, L Cai, BC Caceres, H Pitsch
Combustion and Flame 232, 111525, 2021
392021
Investigating the impacts of thermochemical group additivity values on kinetic model predictions through sensitivity and uncertainty analyses
F vom Lehn, L Cai, H Pitsch
Combustion and Flame 213, 394-408, 2020
292020
Experimental investigation of pulverized coal flames in CO2/O2-and N2/O2-atmospheres: Comparison of solid particle radiative characteristics
D Zabrodiec, J Hees, A Massmeyer, F Vom Lehn, M Habermehl, ...
Fuel 201, 136-147, 2017
232017
Adjoint sensitivity analysis of kinetic, thermochemical, and transport data of nitrogen and ammonia chemistry
R Langer, J Lotz, L Cai, F vom Lehn, K Leppkes, U Naumann, H Pitsch
Proceedings of the Combustion Institute 38 (1), 777-785, 2021
192021
Iterative model-based experimental design for efficient uncertainty minimization of chemical mechanisms
F vom Lehn, L Cai, H Pitsch
Proceedings of the Combustion Institute 38 (1), 1033-1042, 2021
182021
Updated thermochemistry for renewable transportation fuels: New groups and group values for acetals and ethers, their radicals, and peroxy species
M Döntgen, WA Kopp, F vom Lehn, LC Kröger, H Pitsch, K Leonhard, ...
International Journal of Chemical Kinetics 53 (2), 299-307, 2021
122021
On the use of active pre-chambers and bio-hybrid fuels in internal combustion engines
P Burkardt, M Fleischmann, T Wegmann, M Braun, J Knöll, L Schumacher, ...
Engines and Fuels for Future Transport, 205-231, 2022
92022
Combustion Kinetics of the Synthetic E-Fuels Methyl Formate and Dimethyl Carbonate: A Modeling and Experimental Study
F vom Lehn, S Jacobs, C Bariki, Q Mao, D Yan, J Beeckmann, KA Heufer, ...
30. Deutscher Flammentag, 2021
62021
Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning
L Fleitmann, P Ackermann, J Schilling, J Kleinekorte, JG Rittig, ...
Energy & Fuels 37 (3), 2213-2229, 2023
52023
Numerical analysis and flamelet modeling of NOx formation in a thermodiffusively unstable hydrogen flame
X Wen, L Berger, F Vom Lehn, A Parente, H Pitsch
Combustion and Flame 253, 112817, 2023
42023
Numerical Investigation of the Effect of Dissolved Non-Condensable Gases on Hydraulic Flip in Cavitating Nozzles
M Bode, F vom Lehn, H Pitsch
10th International Symposium on Cavitation (CAV2018), May 14-16, Baltimore (USA), 2018
42018
Prediction of Sooting Index of Fuel Compounds for Spark-Ignition Engine Applications Based on a Machine Learning Approach
Z Chen, F Vom Lehn, H Pitsch, L Cai
Journal of Thermal Science 32 (2), 521-530, 2023
22023
Experimental Investigation of the Pressure Dependence of Iso-Octane Combustion
S Shaqiri, D Kaczmarek, F vom Lehn, J Beeckmann, H Pitsch, T Kasper
Frontiers in Energy Research 10, 859112, 2022
22022
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