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An Efficient CFD Algorithm for Store Separation Prediction

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
87678
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
N082-118-0107
Solicitation Year:
2008
Solicitation Topic Code:
N08-118
Solicitation Number:
2008.2
Small Business Information
D & P LLC
3409 N. 42nd Pl. Phoenix, AZ -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2010
Title: An Efficient CFD Algorithm for Store Separation Prediction
Agency: DOD
Contract: N68335-10-C-0010
Award Amount: $749,987.00
 

Abstract:

This Small Business Innovation Research project proposes to develop a hybrid Cartesian grid/gridless solver for fast prediction of store separation. In this approach, a Cartesian grid is used to cover the majority of the computational domain except near the body surfaces to take advantages of ease of grid generation and computational efficiency of the Cartesian grid approach. Near the body surfaces, on the other hand, a gridless solver is used for accurate implementation of surface boundary conditions. After the successful development of hybrid Cartesian grid/gridless Euler solver and demonstration of its superior performance for prediction of store separation in Phase I, the technical objective of Phase II work will be to fully develop and validate the hybrid Cartesian grid/gridless Navier-Stokes solver for fast prediction of store separation. The outcome of our Phase II work will be a hybrid CFD software product ready for commercialization.

Principal Investigator:

Lei Tang
President
(602) 957-2868
tanglei@d-p-llc.com

Business Contact:

Lei Tang
President
(602) 957-2868
tanglei@d-p-llc.com
Small Business Information at Submission:

D & P LLC
3409 N. 42nd Pl. Phoenix, AZ -

EIN/Tax ID: 743185214
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No