Rapid-Mix Fuel Injector for High Temperature Combustor Applicable to Turboshaft Engines

Period of Performance: 01/31/1997 - 04/30/1999

$750K

Phase 2 SBIR

Recipient Firm

CFD Research Corp.
701 McMillian Way NW Suite D
Huntsville, AL 35806
Principal Investigator

Research Topics

Abstract

To provide an increased reliability of weapons system electronic components, realistic simulations of the environment in which the system operates is essential. The simulation approach developed under this SBIR combines a pressure-based methodology with solution-adaptive, unstructured grids for the prediction of the flow and heat transfer in and about mission-critical electronic components in weapon systems, helicopter near-field flows and pollutant dispersal. In the Phase I study, the approach of an integrated software system utilizing advanced geometry modeling, grid generation, flow solver software and numerics and solution-adaptive mesh refinement has been developed. The developed system has been successfully demonstrated for two demanding problems: installed vehicle electronics component cooling and the near-field simulation of a helicopter in close ground proximity. The phase II work will focus upon: further integration and advancement of all components of this virtual testing/ prototyping system, efficient computations utilizing parallel computer architectures and workstation clusters, unstructured-Cartesian, Tetrahedral Prismatic and Cartesian/Prismatic grids, as well as solution- and geometric-based mesh adaptation in stand-alone and interactive modes. The final software system will be validated and demonstrated for several problems of direct relevance to environmental problems like combat vehicles and around helicopters in battlefield scenarios. Close collaboration with Army CECOM and with us Defense industry (General Dynamics, McDonnell Douglas) will be maintained. The developed technology will be marketable to the automotive, aerospace, electronics, bio-medical and micro-mechanical industries where there is a tremendous potential for using high fidelity computational simulations. The individual modules developed will be marketed both separately and collectively, and the system framework itself will also be commercializable.