Ballistic design optimization of three-dimensional grains using genetic algorithms

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2012

Author

Yücel, Osman

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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.

Subject Keywords

Solid propellant rocket engines., Ballistics, Interior., Rocket engines., Genetic algorithms., Solid propellants.

URI

http://etd.lib.metu.edu.tr/upload/12614857/index.pdf
https://hdl.handle.net/11511/21793

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

O. Yücel, “Ballistic design optimization of three-dimensional grains using genetic algorithms,” M.S. - Master of Science, Middle East Technical University, 2012.