TY - GEN
T1 - A multistage approach to computational modeling of large droplet breakup
AU - Turner, Jason E.
AU - Anderson, Caroline
AU - Cavainolo, Brendon
AU - Kinzel, Michael
N1 - Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Ice accretion on aircraft has been, and remains, a long-standing problem in the safe operation of flight vehicles. Ice can cause structural damage when ingested in engines and ice accretion diminishes the aerodynamic properties of lifting surfaces. Ice accretion is typically simulated using a large scale model of an aircraft, or wing, with droplets treated as a dispersed, secondary phase. The dynamics and impingement characteristics of these atmospheric water droplets are approximated by modeling. These models are tuned to match experimental data from in-flight and wind tunnel tests. Historically, icing generated by water droplets up to 50 µm in Mean Volumetric Diameter (MVD) has been considered; however, safety concerns have developed for droplets exceeding this size. Supercooled Large Droplets (SLD) are a class of droplets exceeding the 50 µm MVD limit. Increased droplet diameter complicates the physics of droplet impingement and deposition, breaking some of the assumptions present in models. This work attempts to provide a means of investigating the physics of an individual droplet, belonging to the SLD regime, as it approaches a body in a computationally efficient framework. This approach can enable higher fidelity modeling efforts in future work. A simple Galilean transformation is employed to isolate approximate droplet information from a model. Streamline data for this droplet is collected and then used as an input for an isolated droplet in a compact fluid domain. The droplet inside this domain is captured using a Volume of Fluid (VOF) formulation of the Navier-Stokes equations. Early results suggest that assumptions of the stability of large droplets is not as certain as previous literature has suggested, particularly in the context of impingement. This work can be used in any scenario where it is possible to capture droplet streamline information from a data set.
AB - Ice accretion on aircraft has been, and remains, a long-standing problem in the safe operation of flight vehicles. Ice can cause structural damage when ingested in engines and ice accretion diminishes the aerodynamic properties of lifting surfaces. Ice accretion is typically simulated using a large scale model of an aircraft, or wing, with droplets treated as a dispersed, secondary phase. The dynamics and impingement characteristics of these atmospheric water droplets are approximated by modeling. These models are tuned to match experimental data from in-flight and wind tunnel tests. Historically, icing generated by water droplets up to 50 µm in Mean Volumetric Diameter (MVD) has been considered; however, safety concerns have developed for droplets exceeding this size. Supercooled Large Droplets (SLD) are a class of droplets exceeding the 50 µm MVD limit. Increased droplet diameter complicates the physics of droplet impingement and deposition, breaking some of the assumptions present in models. This work attempts to provide a means of investigating the physics of an individual droplet, belonging to the SLD regime, as it approaches a body in a computationally efficient framework. This approach can enable higher fidelity modeling efforts in future work. A simple Galilean transformation is employed to isolate approximate droplet information from a model. Streamline data for this droplet is collected and then used as an input for an isolated droplet in a compact fluid domain. The droplet inside this domain is captured using a Volume of Fluid (VOF) formulation of the Navier-Stokes equations. Early results suggest that assumptions of the stability of large droplets is not as certain as previous literature has suggested, particularly in the context of impingement. This work can be used in any scenario where it is possible to capture droplet streamline information from a data set.
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U2 - 10.2514/6.2020-1575
DO - 10.2514/6.2020-1575
M3 - Conference contribution
AN - SCOPUS:85092347459
SN - 9781624105951
T3 - AIAA Scitech 2020 Forum
BT - AIAA Scitech 2020 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Scitech Forum, 2020
Y2 - 6 January 2020 through 10 January 2020
ER -