@article{GoettenFinger2020,
  author    = {G{\"o}tten, Falk and Finger, Felix},
  title     = {PhoenAIX - Die modulare Transportdrohne},
  series = {Ingenieurspiegel},
  volume    = {2020},
  journal   = {Ingenieurspiegel},
  number    = {1},
  publisher = {Public Verlag},
  address   = {Bingen},
  isbn      = {1868-5919},
  pages     = {38 -- 40},
  year      = {2020},
  abstract  = {Die autonome, unbemannte Luftfahrt ist einer der Schl{\"u}sselsektoren f{\"u}r die Zukunft der Luftfahrt. In diesem rasant wachsenden Bereich nehmen senkrecht startende und senkrecht landende Flugzeuge (Vertical Take-Off and Landing - VTOL) einen besonderen Platz ein. Ein VTOL-Flugzeug (manchmal auch „Transitionsflugger{\"a}t" genannt) verbindet die Eigenschaft des Helikopters, {\"u}berall starten und landen zu k{\"o}nnen, mit den Geschwindigkeits-, Reichweiten und Flugdauervorteilen des Starrfl{\"u}glers. Grunds{\"a}tzlich wird die Senkrechtstart- und -landef{\"a}higkeit sowohl von zivilen als auch von milit{\"a}rischen Betreibern unbemannter Flugger{\"a}te (UAVs) gew{\"u}nscht. Trotzdem bietet der Markt nur eine geringe Anzahl von VTOL-UAVs, da qualitativ hochwertige Entw{\"u}rfe eine ausgesprochene Herausforderung in der Entwicklung darstellen. An der FH Aachen wird deshalb seit {\"u}ber 5 Jahren an der Auslegung und Analyse von solchen unbemannten VTOL Flugzeugen geforscht. Das neuste Projekt ist der Eigenentwurf einer großen, senkrechtstartenden Transportdrohne. Das „PhoenAIX" getaufte Flugger{\"a}t wird von Falk G{\"o}tten und Felix Finger im Rahmen einer EFRE-F{\"o}rderung entwickelt.},
  language  = {de}
}
@article{GoettenHavermannBraunetal.2021,
  author    = {G{\"o}tten, Falk and Havermann, Marc and Braun, Carsten and Marino, Matthew and Bil, Cees},
  title     = {Aerodynamic Investigations of UAV Sensor Turrets - A Combined Wind-tunnel and CFD Approach},
  series = {SciTech 2021, AIAA SciTech Forum, online, WW, Jan 11-15, 2021},
  journal   = {SciTech 2021, AIAA SciTech Forum, online, WW, Jan 11-15, 2021},
  publisher = {AIAA},
  address   = {Reston, Va.},
  doi       = {10.2514/6.2021-1535},
  pages     = {1 -- 12},
  year      = {2021},
  language  = {en}
}
@article{HammerQuitterMayntzetal.2023,
  author    = {Hammer, Thorben and Quitter, Julius and Mayntz, Joscha and Bauschat, J.-Michael and Dahmann, Peter and G{\"o}tten, Falk and Hille, S. and Stumpf, E.},
  title     = {Free fall drag estimation of small-scale multirotor unmanned aircraft systems using computational fluid dynamics and wind tunnel experiments},
  series = {CEAS Aeronautical Journal},
  journal   = {CEAS Aeronautical Journal},
  publisher = {Springer},
  address   = {Wien},
  issn      = {1869-5590 (Online)},
  doi       = {10.1007/s13272-023-00702-w},
  pages     = {14 Seiten},
  year      = {2023},
  abstract  = {New European Union (EU) regulations for UAS operations require an operational risk analysis, which includes an estimation of the potential danger of the UAS crashing. A key parameter for the potential ground risk is the kinetic impact energy of the UAS. The kinetic energy depends on the impact velocity of the UAS and, therefore, on the aerodynamic drag and the weight during free fall. Hence, estimating the impact energy of a UAS requires an accurate drag estimation of the UAS in that state. The paper at hand presents the aerodynamic drag estimation of small-scale multirotor UAS. Multirotor UAS of various sizes and configurations were analysed with a fully unsteady Reynolds-averaged Navier-Stokes approach. These simulations included different velocities and various fuselage pitch angles of the UAS. The results were compared against force measurements performed in a subsonic wind tunnel and provided good consistency. Furthermore, the influence of the UAS`s fuselage pitch angle as well as the influence of fixed and free spinning propellers on the aerodynamic drag was analysed. Free spinning propellers may increase the drag by up to 110\%, depending on the fuselage pitch angle. Increasing the fuselage pitch angle of the UAS lowers the drag by 40\% up to 85\%, depending on the UAS. The data presented in this paper allow for increased accuracy of ground risk assessments.},
  language  = {en}
}
@article{GoettenHavermannBraunetal.2019,
  author    = {G{\"o}tten, Falk and Havermann, Marc and Braun, Carsten and Gomez, Francisco and Bil, Cees},
  title     = {RANS Simulation Validation of a Small Sensor Turret for UAVs},
  series = {Journal of Aerospace Engineering},
  volume    = {32},
  journal   = {Journal of Aerospace Engineering},
  number    = {5},
  publisher = {ASCE},
  address   = {New York},
  issn      = {1943-5525},
  doi       = {10.1061/(ASCE)AS.1943-5525.0001055},
  pages     = {Article number 04019060},
  year      = {2019},
  abstract  = {Recent Unmanned Aerial Vehicle (UAV) design procedures rely on full aircraft steady-state Reynolds-Averaged-Navier-Stokes (RANS) analyses in early design stages. Small sensor turrets are included in such simulations, even though their aerodynamic properties show highly unsteady behavior. Very little is known about the effects of this approach on the simulation outcomes of small turrets. Therefore, the flow around a model turret at a Reynolds number of 47,400 is simulated with a steady-state RANS approach and compared to experimental data. Lift, drag, and surface pressure show good agreement with the experiment. The RANS model predicts the separation location too far downstream and shows a larger recirculation region aft of the body. Both characteristic arch and horseshoe vortex structures are visualized and qualitatively match the ones found by the experiment. The Reynolds number dependence of the drag coefficient follows the trend of a sphere within a distinct range. The outcomes indicate that a steady-state RANS model of a small sensor turret is able to give results that are useful for UAV engineering purposes but might not be suited for detailed insight into flow properties.},
  language  = {en}
}