Intelligent Light wins NASA SBIR contract to develop postprocessing system

RUTHERFORD, N.J., 14 Nov. 2007. Intelligent Light was selected by the NASA Small Business Innovative Research (SBIR) program to advance the development of its Rotorcraft Computational Aero-Acoustics Postprocessing System or RCAAPS. The two year project will enable efficient postprocessing of time-dependent, aero-acoustics simulations that exceed 10 terabytes in size.

RUTHERFORD, N.J., 14 Nov. 2007. Intelligent Light was selected by the NASA Small Business Innovative Research (SBIR) program to advance the development of its Rotorcraft Computational Aero-Acoustics Postprocessing System or RCAAPS. The two year project will enable efficient postprocessing of time-dependent, aero-acoustics simulations that exceed 10 terabytes in size.

The improvements in postprocessing capabilities required by next-generation aero-acoustics simulations will benefit the CFD and acoustics community as they are deployed in FieldView products. The initial concepts for RCAAPS were developed under a NASA Phase I SBIR award.

Rotorcraft manufacturers Bell Helicopter and Sikorsky are supporters of this project and the development will support the emerging use of aero-acoustics in aircraft engine manufacturers, such as GE, Pratt and Whitney, and Rolls Royce. All of these organizations are generating large and growing volumes of complex CFD data and wish to predict aero-acoustics behavior. They are looking to Intelligent Light to help them address the need to manage this large data and efficiently extract meaningful results.

Aero-acoustics simulations are increasingly being performed to reduce environmental noise generated by rotorcraft and fixed wing aircraft in high-lift configurations.

RCAAPS will bring together modern distributed computing systems, CFD solvers, and postprocessing techniques with new approaches to meet the challenges associated with very large unsteady multiphysics simulations.

The program will develop highly scalable, parallel tools and libraries for speeding the computations associated with post-processing. High performance, parallel I/O libraries will deliver sustained performance during iterative processes such as optimization studies.

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