| 1 |
Predictive Capability Assessment of Probabilistic Machine Learning Models for Density Prediction of Conventional and Synthetic Jet Fuels
Hall C, Rauch B, Bauder U, Le Clercq P, Aigner M
Energy & Fuels, 35(3), 2520, 2021 |
| 2 |
NUMERICAL SIMULATION AND UNCERTAINTY QUANTIFICATION OF A GENERIC DROPLET EVAPORATION VALIDATION TEST CASE
Ruoff S, Stohr M, Rauch B, Eckel G, Le Clercq P, Meier W, Aigner M
Atomization and Sprays, 30(12), 861, 2020 |
| 3 |
Non-intrusive uncertainty quantification in the simulation of turbulent spray combustion using Polynomial Chaos Expansion: A case study
Enderle B, Rauch B, Grimm F, Eckel G, Aigner M
Combustion and Flame, 213, 26, 2020 |
| 4 |
Ternary System CO2/2-MTHF/Water-Experimental Study and Thermodynamic Modeling
Aigner M, Echtermeyer A, Kaminski S, Viell J, Leonhard K, Mitsos A, Jupke A
Journal of Chemical and Engineering Data, 65(3), 993, 2020 |
| 5 |
Numerical analysis of operating range and SOFC-off-gas combustor requirements of a biogas powered SOFC-MGT hybrid power plant (vol 232, pg 598, 2018)
Krummrein T, Henke M, Kutne P, Aigner M
Applied Energy, 235, 1668, 2019 |
| 6 |
LES of a swirl-stabilized kerosene spray flame with a multi-component vaporization model and detailed chemistry
Eckel G, Grohmann J, Cantu L, Slavinskaya N, Kathrotia T, Rachner M, Le Clercq P, Meier W, Aigner M
Combustion and Flame, 207, 134, 2019 |
| 7 |
A heuristic method for modeling the initial pressure drop in melt filtration using woven screens in polymer recycling
Pachner S, Aigner M, Miethlinger J
Polymer Engineering and Science, 59(6), 1105, 2019 |
| 8 |
Numerical analysis of operating range and SOFC-off-gas combustor requirements of a biogas powered SOFC-MGT hybrid power plant
Krummrein T, Henke M, Kutne P, Aigner M
Applied Energy, 232, 598, 2018 |
| 9 |
Toward finite-rate chemistry large-eddy simulations of sooting swirl flames
Eberle C, Gerlinger P, Geigle KP, Aigner M
Combustion Science and Technology, 190(7), 1194, 2018 |
| 10 |
Entrained flow gasification. Part 3: Insight into the injector near-field by Large Eddy Simulation with detailed chemistry
Eckel G, Le Clercq P, Kathrotia T, Saenger A, Fleck S, Mancini M, Kolb T, Aigner M
Fuel, 223, 164, 2018 |
