Ballistic design optimization of three-dimensional grains using genetic algorithms

Yücel, Osman
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.


Application of ultrasonic burning rate measurement method on closed bombs
Mumcu, Berkan; Kurtuluş, Dilek Funda; Arkun, Uğur; Department of Aerospace Engineering (2013)
In this thesis study, detailed information about solid rocket motors and ultrasonic burning rate measurement method is given. An experimental setup is prepared for applying the ultrasonic burning rate measurement method. Before performing the burning tests, some pre-tests are performed for affirming the ultrasonic sensor and obtaining some experimental coefficients. Two different types of propellants, which do not include aluminum, are produced for the burning tests. The first type of the propellants has tw...
Ultrasonic measurement of solid propellant burning rates in closed bombs and subscale motors
Atak, Özen; Yamalı, Cemil; Department of Mechanical Engineering (2016)
In the scope of this thesis, applications of ultrasonic measurement method on closed bombs and test motors were investigated with various aluminized and nonaluminized propellants with the main target of evaluation of burning rates. Detailed comparison between conventional methods for solid propellant burning rate measurements such as strand burner, firing of subscale test motors and ultrasonic measurement was performed. Burning rate evaluation of eight propellant batches were determined by thirty three clos...
Numerical burnback analysis of three dimensional solid propellant grains
Ata, Yusuf; Kurtuluş, Dilek Funda; Department of Aerospace Engineering (2015)
This study consists of developing of a three-dimensional grain burnback simulation with minimum distance method using STL (Standard Template Library) geometry output for accurate and efficient grain burnback analysis and internal ballistic solver for simulation and also prediction of solid rocket motor performance. In this work the, the new burnback simulation tool named F3DBT (Fast 3 Dimensional Burnback Tool) developed at the Propulsion System Design Department of Roketsan Missiles Industries Inc. and dev...
Service life assessment of solid rocket propellants considering random thermal and vibratory loads
Yılmaz, Okan; Özgen, Gökhan Osman; Kuran, Bayındır; Department of Mechanical Engineering (2012)
In this study, a detailed service life assessment procedure for solid propellant rockets under random environmental temperature and transportation loads is introduced. During storage and deployment of rocket motors, uncontrolled thermal environments and random vibratory loads due to transportation induce random stresses and strains in the propellant which provoke mechanical damage. In addition, structural capability degrades due to environmental conditions and induced stresses and strains as well as materia...
3-D grain burnback analysis of solid propellant rocket motors: Part 2-modeling and simulations
Puskulcu, G.; Ulaş, Abdullah (2008-12-01)
Determination of the grain geometry is an important step in the design of solid propellant rocket motors. The performance prediction of the solid rocket motor can be achieved easily if the burnback steps of the grain are known. fit this study, grain burnback analysis for 3-D grain geometries wits investigated. The method used was solid modeling of the propellant grain for predefined intervals of burnback. In this method, the initial grain geometry was modeled parametrically using CAD software. For every bur...
Citation Formats
O. Yücel, “Ballistic design optimization of three-dimensional grains using genetic algorithms,” M.S. - Master of Science, Middle East Technical University, 2012.