Mthembu, NNdlovu, Hlamulo PNdebele, Bright BJamison, Kevin AZwane, Lindokuhle2025-01-092025-01-092024-09http://hdl.handle.net/10204/13883A method optimised for efficient prediction of subsonic store separation trajectories is described and demonstrated using a wind-tunnel test case. The FastTraj method uses a decoupled flow field approach where it is assumed that in most attached flow subsonic store separation scenarios the presence of the store has little impact on the perturbed flow field generated by the parent aircraft. The inviscid perturbed flow field of the parent aircraft is computed using computational fluid dynamics codes and is captured using a grid. The store aerodynamic model is generated elsewhere and Missile Datcom is used to segment the store model to approximate the effect of the perturbed flow field changing along the length of the store. The 6-DOF trajectory solver interpolates the aerodynamic grid from the parent aircraft to determine the local flow vector at each reference point on the segmented store, in addition to the local flow vector due to the motion of each segment. Good comparisons with the wind-tunnel data are achieved showing that the method’s speed is not at the expense of accuracy and that it is necessary to segment the store to achieve good results.FulltextenSubsonic store separationComputational Fluid DynamicsCFDDecoupledDecoupling store and parent aerodynamics for fast prediction of subsonic store trajectoriesConference Presentationn/a