Validation of Calibrated k–ε Model Parameters for Jet-in-Crossflow

Miller, Nathan E.; Beresh, Steven J.; Ray, Jaideep

doi:10.2514/1.j061396

Validation of Calibrated k–ε Model Parameters for Jet-in-Crossflow

Journal Article · Mon May 09 00:00:00 EDT 2022 · AIAA Journal

DOI:https://doi.org/10.2514/1.j061396· OSTI ID:1872012

Miller, Nathan E. ^[1]; Beresh, Steven J. ^[1]; Ray, Jaideep ^[2]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sandia National Lab. (SNL-CA), Livermore, CA (United States)

Previous efforts determined a set of calibrated, optimal model parameter values for Reynolds-averaged Navier–Stokes (RANS) simulations of a compressible jet in crossflow (JIC) using a $k–ε$ turbulence model. These parameters were derived by comparing simulation results to particle image velocimetry (PIV) data of a complementary JIC experiment under a limited set of flow conditions. Here, a $k–ε$ model using both nominal and calibrated parameters is validated against PIV data acquired from a much wider variety of JIC cases, including a realistic flight vehicle. The results from the simulations using the calibrated model parameters showed considerable improvements over those using the nominal values, even for cases that were not used in the calibration procedure that defined the optimal parameters. This improvement is demonstrated using a number of quality metrics that test the spatial alignment of the jet core, the magnitudes of multiple flow variables, and the location and strengths of vortices in the counter-rotating vortex cores on the PIV planes. These results suggest that the calibrated parameters have applicability well outside the specific flow case used in defining them and that with the right model parameters, RANS solutions for the JIC can be improved significantly over those obtained from the nominal model.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 1872012

Report Number(s):: SAND2022-6654J; 706280

Journal Information:: AIAA Journal, Journal Name: AIAA Journal Journal Issue: 8 Vol. 60; ISSN 0001-1452

Publisher:: AIAACopyright Statement

Country of Publication:: United States

Language:: English

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