Clear Science Corp. and Syracuse University propose to design and demonstrate a closed-loop system for controlling flow separation on lifting surfaces over the transonic flight regime---offering the potential of significantly higher mission effectivenessin weapons like LOCAAS. Reduced-order models… More

Clear Science Corp. proposes to evaluate methods of simulating continuum-transitional-free molecular flows, downselect the most viable approach, and develop a model for analyzing flows associated with hypersonic trans-atmospheric flight. Low Knudsen numbercontinuum flows, high Knudsen number free… More

Clear Science Corp. and the University of California at Los Angeles propose to develop a versatile and comprehensive computational toolbox for designing feedback flow controllers in aerodynamic applications. Target objectives include separation control tomanage lift and form drag, control of… More

Clear Science Corp. proposes to develop efficient and scalable software for analyzing complex plasma flows associated with micro-satellite propulsion systems. The computational tool will provide a framework for synthesizing kinetic and continuum modelsand multiple grid topologies. The goal is a… More

Clear Science Corp. and the University of Minnesota propose to evaluate and develop design optimization methods that exploit flow ionization associated with hypersonic, trans-atmospheric flight vehicles. Using magnetic fields from on-board devices, power may be extracted from ionized gas generated… More

Clear Science Corp. proposes to develop computational methods for designing active flow control systems on aerospace vehicles with the primary objective of controlling lift, drag, and flow separation. Simulated control inputs will include moving boundaries for aerodynamic shaping and aspirating… More

Clear Science Corp. and Duke University propose to develop and demonstrate a new and efficient computational method of modeling nonlinear aeroelastic systems. The method will extend the scope of multi-disciplinary computational tools like NASA Dryden's STARS by augmenting linear eigenmode stability… More

Clear Science Corp. and the University of California at Los Angeles propose to develop a versatile and comprehensive computational toolbox for designing feedback flow controllers in aerodynamic applications. Target objectives include separation control to manage lift and drag, control of transition… More

Clear Science Corp. and Duke University propose to develop and demonstratenew and efficient computational methods of modeling nonlinear aeroelastic systems. The methods will extend the scope of multi-disciplinary computational tools like NASA Dryden's STARS by augmenting linear eigenmode stability… More

Clear Science Corp. proposes to develop and demonstrate the technical merit and feasibility of software that quantifies uncertainty in predictions of the aeroelastic stability of aircraft. The computational tool will accommodate three main sources of uncertainty in the aeroelastic response of an… More

Clear Science Corp. proposes to design wind tunnel and computational experiments for testing feedback systems that control flow over a three-dimensional turret, motivated by the relationship between flow dynamics and the performance of an optical system housed in the turret. The closed-loop control… More

Clear Science Corp. proposes to develop and demonstrate the technical merit and feasibility of compact aeroelastic models that incorporate structural and flow dynamics and their coupled effects in a low-dimensional form for safer and more efficient flutter testing of military aircraft. The… More

Clear Science Corp. proposes to develop feedback systems that control flow over a three-dimensional turret and demonstrate the technology through control-in-the-loop Computational Fluid Dynamics (CFD) simulations and wind tunnel tests. A parallel-track plan is designed to meet two broad… More

Clear Science Corp. proposes to develop Aeroelastic Model Updating (AMU) software that enables safer, more efficient and accurate flutter testing of military aircraft. Aircraft certification involves a battery of expensive and sometimes risky flight tests. The proposed tool will reduce costs by… More

Clear Science Corp. proposes to develop an aerodynamic modeling tool that assimilates data from different sources and facilitates uncertainty quantification. The technical merit and feasibility of the technology will be demonstrated in Phase I through a series of verification and validation tests… More

ABSTRACT: Clear Science Corp. and Princeton University propose to develop a computational framework for accurately and efficiently modeling the full set of physics associated with aircraft operations. The critical attributes of the proposed framework are accuracy, computational efficiency, and… More