Share Email Print

Proceedings Paper

Improved EO/IR target and background scene simulation with MuSES using a rapid fluid flow solver
Author(s): Corey D. Packard; David M. Less; Mark D. Klein; Duncan L. Karnitz; Derrick S. Levanen; Peter L. Rynes; Mark A. Hepokoski
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The ability to accurately predict electro-optical signatures for high-value targets in an outdoor scene is a tremendous asset for defense agencies. In the thermal infrared wavebands, physical temperature is the primary contributor to imager-detected radiance. Consequently, enhancements to the fidelity of thermal predictions are desirable, and convection estimates are often the most significant source of uncertainty. One traditional method employed by MuSES applies a single global convection coefficient across the entire scene, and assumes that all exposed surfaces are in contact with the ambient air temperature. This results in a rapid prediction of convection coefficients for a large scene that changes dynamically with wind speed but lacks localized detail concerning how each target surface can experience a different convection coefficient and local air temperature. In practice, wind speed and directions typically change frequently, which coupled with the thermal mass of most targets reduces the negative impacts this approach can have on thermal predictions; numerous validations of MuSES predictions bear this out. Computational fluid dynamics (CFD) simulations provide additional spatial fidelity in the calculation of localized convection coefficients and air temperatures but only at great computational cost. A fully transient outdoor scene simulation would be nearly impossible. Boundary layers near surfaces must be resolved with a fine mesh, creating a numerical problem difficult to solve for large spatial scales when spanning large periods of simulated time. In this paper, a novel thermal fluid flow solver is presented. This proprietary flow solver models fluid flow at the spatial resolution and accuracy needed for convective heat transfer at the scale viewed by EO/IR (Electro-optical/Infrared) sensors, avoiding the burdens associated with conventional CFD codes. Many of the same Navier-Stokes equations are solved, albeit in simpler form. ThermoAnalytics-developed correlations directly calculate convection coefficients based on local bulk flow conditions of temperature, velocity, and pressure. The resulting accuracy is a large step beyond using a constant convection correlation universally across the scene. Intelligent simplification of the flow equations provides robust efficiency, requiring minimal effort and expertise compared to CFD codes.

Paper Details

Date Published: 9 October 2018
PDF: 13 pages
Proc. SPIE 10794, Target and Background Signatures IV, 107940P (9 October 2018); doi: 10.1117/12.2323821
Show Author Affiliations
Corey D. Packard, ThermoAnalytics, Inc. (United States)
David M. Less, ThermoAnalytics, Inc. (United States)
Mark D. Klein, ThermoAnalytics, Inc. (United States)
Duncan L. Karnitz, ThermoAnalytics, Inc. (United States)
Derrick S. Levanen, ThermoAnalytics, Inc. (United States)
Peter L. Rynes, ThermoAnalytics, Inc. (United States)
Mark A. Hepokoski, ThermoAnalytics, Inc. (United States)

Published in SPIE Proceedings Vol. 10794:
Target and Background Signatures IV
Karin U. Stein; Ric Schleijpen, Editor(s)

© SPIE. Terms of Use
Back to Top