Date of Award
Doctor of Philosophy (PhD)
Department of Aeronautics and Astronautics
Carl R. Hartsfield, PhD
Hybrid Rocket Engines (HRE) have characteristically low fuel regression that limits their performance. Additive manufacturing and rapid prototyping can possibly solve some of the problems with Hybrid propulsion regression by creating geometry not possible with conventional manufacturing. This work is attempting to make geometric regression simulation of HRE easier by using STereoLithography (STL files) as the geometry. This analysis sets flow conditions, boundary conditions, propellant selection, and allows for fuel geometry to be altered to simulate geometry’s effects on regression rate and propellant performance. This model can be used for more advanced geometric analysis to improve and predict performance.
DTIC Accession Number
King, Michael P., "Analysis for Hybrid Rocket Fuel Regression Using Stereolithographic Geometry" (2020). Theses and Dissertations. 4542.