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Masters Thesis Presentation: Benchmarking of Cradle CFD Software to Predict Store Separation Trajectory Using Eglin Test Model and The Prediction of Onset of Flutter and The Transonic Dip using BSCW Wing

Benchmarking Cradle CFD Software for store separation trajectory prediction using the Eglin Test Model showcases its accuracy in simulating complex aero-dynamics. Additionally, its predictive capabilities in determining the onset of flutter and the Transonic Dip with the BSCW Wing highlight its robustness in capturing critical aerodynamic phenomena, aiding in aerospace design validation.View Thesis Presentation Read more

Conference Proceedings: ICRAME 2023: Prediction of Store Separation Trajectories of the Eglin Test Model using the Cradle CFD

Presented my paper on Store Separation. View Slides Testing store separation is risky, costly, and traditionally time-consuming with methods like flight tests and Wind Tunnel Testing. Computational Fluid Dynamics (CFD) advancements have simplified this process by coupling Six Degrees of Freedom (Six DOF) and Navier Stokes (N-S) equations. Using CFD on pylon, wing, and store geometry allows the calculation of force and moments. This project validates store separation trajectory using Software Cradle with the Eglin Test Model, focusing on the ejector force profile. Employing Software Cradle’s scFLOW code for a transonic Mach number of 0.95, it solves Reynolds Averaged Navier Stokes (RANS) Equation coupled with the 6 Degree of Freedom Equation using the overset meshing technique, resulting in good agreement with store displacement. Read more

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