CFD Research awarded Army contract to develop model order reduction-based solver for thermal signature analysis

CFD Research has been awarded a $1M Army contract to further develop an innovative Computational Fluid Dynamics (CFD) and Machine Learning (ML) based computational tool for accurate and rapid prediction of transient turbulent flow, heat transfer and thermal signatures. The survivability of military vehicles and their occupants often depends on efficient control of their thermal infrared (IR) signature as IR emissions, stemming from the thermal load, of military vehicles are used to detect, track, and lock-on to the target. Thermal modeling is typically used in order to predict and achieve performance goals related to the control of IR signatures.

CFD Research awarded Air Force contract for aeroelastic analysis of threat-damaged flight surfaces

CFD Research Corporation announced today the award of a SBIR Phase II contract from the Air Force to create a novel, efficient, and accurate fully-coupled modeling approach for the aeroelastic analysis of threat-damaged flight surfaces. One of the key aircraft design requirements is aircraft survivability and vulnerability to damage caused by a variety of threat types. Damage which results in the physical removal of a portion of a wing or primary flight control surface undoubtedly leads to a reduction in aerodynamic performance and control degradation.