Date of Award
12-2020
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Aeronautics and Astronautics
First Advisor
Carl R. Hartsfield, PhD
Abstract
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.
AFIT Designator
AFIT-ENY-DS-20-D-062
DTIC Accession Number
AD1129096
Recommended Citation
King, Michael P., "Analysis for Hybrid Rocket Fuel Regression Using Stereolithographic Geometry" (2020). Theses and Dissertations. 4542.
https://scholar.afit.edu/etd/4542