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, 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.