Performance Optimization of Hypervelocity Launcher System using Experimental Data

This study presents the performance optimization of hypervelocity launcher system by using the experimentall data. During the optimization, the RSM (Response Surface Method) is adopted to find the operating parameters that could maximize the projectile speed. To construct a reliable response surface...

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Bibliographic Details
Published in:Journal of mechanical science and technology 2004-10, Vol.18 (10), p.1829-1836
Main Authors: Huh, Choul-Jun, Lee, Jin-Ho, Bae, Ki-Joon, Jeon, Kwon-Su, Byun, Yung-Hwan, Lee, Jae Woo, Lee, Chang-Jin
Format: Article
Language:English
Subjects:
Construction
Design of experiments
Drivers
Factorials
Genetic algorithms
Hypervelocity
Hypervelocity launchers
Launchers
Mathematical models
Optimization
Performance enhancement
Pistons
Projectiles
Response surface methodology
Response surfaces
Studies
Citations: Items that this one cites
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Summary:This study presents the performance optimization of hypervelocity launcher system by using the experimentall data. During the optimization, the RSM (Response Surface Method) is adopted to find the operating parameters that could maximize the projectile speed. To construct a reliable response surface model, 3 full factorial method is used with the selected design variables, such as piston mass and 2 driver fill pressure. Nine test data could successfully construct the reasonable response surface, which used to yield the optimal operational conditions of the system using the genetic algorithm. The optimization results are confirmed by the experimental test with a good accuracy. Thus, the optimization can improve the performance of the facility.
ISSN:1738-494X
1226-4865
1976-3824
DOI:10.1007/BF02984331