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An Efficient CFD Algorithm for Store Separation Prediction

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
N082-118-0107a
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: 2013
Title: An Efficient CFD Algorithm for Store Separation Prediction
Agency: DOD
Contract: N68335-13-C-0293
Award Amount: $350,089.00
 

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, multi-block structured Cartesian grids with varying grid resolution are used to cover the majority of the computational domain except near the body surfaces for taking 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 a cross-platform (Window, Linux, and Mac) CFD software product, FlowSimulatorTM, which integrates a fully automated grid generator, 6-DOF analysis, flow solvers, and post-processor all together, based on this hybrid Cartesian grid/gridless approach in Phase II, the technical objectives of Phase II.5 work are to add more functionalities to the software, transfer the software to NAVAIR for further test and evaluation, and improve the robustness of the software based on the feedbacks from the JSF store separation collaboration team. The outcome of our Phase II.5 work will be a refined CFD software product ready for commercialization.

Principal Investigator:

Lei Tang
President
(480) 518-0981
tanglei@d-p-llc.com

Business Contact:

Lei Tang
President
(480) 518-0981
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: Yes
Minority-Owned: Yes
HUBZone-Owned: No