Ballistic Design Optimization Of Three-dimensional Grains Using Genetic Algorithms

Autor: Yucel, Osman
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Druh dokumentu: M.S. Thesis
Popis: Within the scope of this thesis study, an optimization tool for the ballistic design of three-dimensional grains in solid propellant rocket motors is developed. The modeling of grain geometry and burnback analysis is performed analytically by using basic geometries like cylinder, cone, sphere, ellipsoid, prism and torus. For the internal ballistic analysis, a quasi-steady zero-dimensional flow solver is used. Genetic algorithms have been studied and implemented to the design process as an optimization algorithm. Lastly, the developed optimization tool is validated with the predesigned rocket motors.
Databáze: Networked Digital Library of Theses & Dissertations