Date

2017

Author

Demiral, Ertan

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The prediction of aerodynamic coefficients of missiles that have air-breathing components is a challenging task during the preliminary design phase. It is considerably important to estimate missile aerodynamic coefficients accurately at the beginning of design phase to avoid poor designs which could lead to redesign at later stages of the design process. In this study, firstly an improved method is developed to predict the aerodynamic coefficients of missile configurations with air-breathing components more accurately compared to engineering level fast prediction tools. Then, optimization studies comprising of reaching global minimum value of the Beale Function and inverse design optimization of the ramjet missile configuration are done through implementing different meta-heuristic optimization techniques which are “Genetic Algorithm”, “Differential Evolution” and “Modified Cuckoo Search”. In the inverse design optimization studies, two different methods, which are engineering level fast prediction tool Missile DATCOM and the improved method, are used to calculate aerodynamic coefficients of the candidate missile configurations throughout the design optimization process. Results of the inverse design optimization studies show that preliminary design phase of the missiles including air-breathing components can be enhanced significantly since accuracy of the prediction of aerodynamic coefficients is improved by methods applied in this study.

Subject Keywords

Jet engines., Heuristic algorithms., Airplanes, Computational fluid dynamics.

URI

http://etd.lib.metu.edu.tr/upload/12620796/index.pdf
https://hdl.handle.net/11511/26281

Collections

Graduate School of Natural and Applied Sciences, Thesis