TY - GEN
T1 - Artificially ventilated cavities
T2 - ASME 2017 Fluids Engineering Division Summer Meeting, FEDSM 2017
AU - Fronzeo, Melissa A.
AU - Kinzel, Michael
AU - Lindau, Jules
N1 - Funding Information:
Funding provided through ONR under contract #N00014-16-1-2211 (program manager Dr. David Drumheller).
Publisher Copyright:
© Copyright 2017 ASME.
PY - 2017
Y1 - 2017
N2 - Computational Fluid Dynamics (CFD) is employed to study the fundamental aspects of the internal pressure within artificially ventilated, gaseous cavities in both twin- and toroidal-vortex closure modes. The results show that several pressure regions develop within the cavities, indicating that the common assumption that the cavity has a constant pressure breaks down when evaluated in high detail. The internal cavity pressure is evaluated using a probability density function (PDF). The resulting PDF plots show a clusters with multiple peaks. A mixture-of-Gaussians (MOG) method is employed to better understand the distributions of these peaks. These peaks are then mapped to the simulation results, where it is observed that these peaks correlate to distinct cavity regions (which vary depending on cavity type). Moreover, these varying pressure regions appear to align with cavity-radius growth and reduction and appear to be the driving force of the internal, circulatory flow. Lastly, the importance of these pressure regions are investigated with respect to predictions from semi-empirical theory of the cavity shape, showing a moderate impact depending on where the cavity is probed. Overall, these results provide physical insight into ventilated cavity flow behavior that is often ignored.
AB - Computational Fluid Dynamics (CFD) is employed to study the fundamental aspects of the internal pressure within artificially ventilated, gaseous cavities in both twin- and toroidal-vortex closure modes. The results show that several pressure regions develop within the cavities, indicating that the common assumption that the cavity has a constant pressure breaks down when evaluated in high detail. The internal cavity pressure is evaluated using a probability density function (PDF). The resulting PDF plots show a clusters with multiple peaks. A mixture-of-Gaussians (MOG) method is employed to better understand the distributions of these peaks. These peaks are then mapped to the simulation results, where it is observed that these peaks correlate to distinct cavity regions (which vary depending on cavity type). Moreover, these varying pressure regions appear to align with cavity-radius growth and reduction and appear to be the driving force of the internal, circulatory flow. Lastly, the importance of these pressure regions are investigated with respect to predictions from semi-empirical theory of the cavity shape, showing a moderate impact depending on where the cavity is probed. Overall, these results provide physical insight into ventilated cavity flow behavior that is often ignored.
UR - http://www.scopus.com/inward/record.url?scp=85033552366&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033552366&partnerID=8YFLogxK
U2 - 10.1115/FEDSM2017-69367
DO - 10.1115/FEDSM2017-69367
M3 - Conference contribution
AN - SCOPUS:85033552366
T3 - American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM
BT - Symposia
PB - American Society of Mechanical Engineers (ASME)
Y2 - 30 July 2017 through 3 August 2017
ER -