An Efficient CFD Algorithm for Store Separation Prediction
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.
Small Business Information at Submission:
D & P LLC
3409 N. 42nd Pl. Phoenix, AZ -
Number of Employees: