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Towards Efficient Viscous Modeling Based on Cartesian Methods for Automated…

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
90799
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
085378
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Advanced Dynamics, Inc.
1500 Bull Lea Road, Suite 203 Lexington, KY 40511-
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Towards Efficient Viscous Modeling Based on Cartesian Methods for Automated Flow Simulation
Agency: NASA
Contract: NNX09CF04P
Award Amount: $99,917.00
 

Abstract:

The proposed work aims at developing techniques that will address the current limitations of Cartesian-based Navier-Stokes CFD schemes by exploring three promising methods of implementing improved wall boundary conditions. The three methods are based on: (1) the diamond stencil approach of Delanaye et al., (2) the extrapolation boundary condition work by Marshall and Ruffin, and (3) the Material Point Method developed by Advanced Dynamics. The knowledge gained from prototype implementations of these schemes will lead to the development of an efficient viscous modeling algorithm suitable to general Cartesian CFD codes at the end of Phase I. Phase II will integrate this algorithm into a large-scale Cartesian CFD code in consultation with NASA technical representative. Phase III will commercialize the resulting techniques to be developed in Phases I and II and demonstrate their applicability to a wide range of problems.

Principal Investigator:

Patrick Hu
Principal Investigator
8596990441
patrick.g.hu@advanceddynamics-usa.com

Business Contact:

Patrick Hu
Business Official
8596990441
patrick.g.hu@advanceddynamics-usa.com
Small Business Information at Submission:

Advanced Dynamics, Inc.
1500 Bull Lea Road, Suite 203 Lexington, KY 40511

EIN/Tax ID: 510617963
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No