Simulating Airfoils at Ultra-Low Reynolds Numbers Using Panel Methods

ORAL

Abstract

In recent years, airfoils operating at ultra-low Reynolds numbers have garnered substantial interest, primarily due to advancements in Micro Air Vehicles rotorcraft technologies. In this study, we utilized potential flow panel methods to assess their fidelity when contrasted with physical experiments. Our findings show that the implementation of panel methods is only effective when the fluid flow remains attached, or reattaches at some juncture, to the boundary layer of the airfoil wing cross-section on the vehicle. We specifically selected these geometries to investigate the underlying physics and to analyze the impact of airfoil thickness and shape on the lift and drag coefficients. Ultimately, our study reveals that the XFOIL Software can provide precise and accurate predictions of physical quantities, given that its methodological assumptions are considered.

*We acknowledge the U.S. Department of Defense (AFOSR Grant Number #FA9550-19-1-0304, FA9550-17-1-0253, FA9550-12-1-0242, FA9550-17-1-0393, SFFP, AFTC, HAFB/HSTT, AFRL, HPCMP), U.S. Department of Energy(GRANT13584020, DE-SC0022957, DE-FE0026220, DE-FE0002407, NETL, Sandia, ORNL, NREL), Systems Plus, and several other individuals at these agencies for partially supporting our research financially or through mentorship. We would also like to thank NSF ((HRD-1139929, XSEDE Award Number ACI-1053575), TACC, DOE, DoD, Microsoft, HPCMP, University of Texas STAR program, UTEP(Research Cloud, Department of Mechanical Engineering, Graduate School & College of Engineering) for generously providing financial support or computational resources. Without their generous support, completing the milestones would have been almost impossible.

Presenters

  • Esperanza Moreno

    • University of Texas at El Paso

Authors

  • Arturo Rodriguez

    • University of Texas at El Paso
  • Esperanza Moreno

    • University of Texas at El Paso
  • Juan C Herrera

    • University of Texas at El Paso
  • Richard O Adansi

    • University of Texas at El Paso
  • Cesar Diaz-Caraveo

    • University of Texas at El Paso
  • Piyush Kumar

    • University of Texas at El Paso
  • Vinod Kumar

    • University of Texas at El Paso