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Study of Hybrid Optimization Technique for Grain Optimum Design

  • Oh, Seok-Hwan (Department of Aerospace Engineering, Inha University) ;
  • Kim, Yong-Chan (Department of Aerospace Engineering, Inha University) ;
  • Cha, Seung-Won (Department of Aerospace Engineering, Inha University) ;
  • Roh, Tae-Seong (Department of Aerospace Engineering, Inha University)
  • Received : 2017.03.17
  • Accepted : 2017.09.29
  • Published : 2017.12.30

Abstract

The propellant grain configuration is a design variable that determines the shape and performance of a solid rocket motor. Grain configuration variables have complicated effects on the motor performance; so the global optimization problem has to be solved in order to design the configuration variables. The grain performance has been analyzed by means of the grain burn-back and internal ballistic analysis, and the optimization technique searches for the configuration variables that satisfy the requirements. The deterministic and stochastic optimization techniques have been applied for the grain optimization, but the results are imperfect. In this study, the optimization design of the configuration variables has been performed using the hybrid optimization technique, which combines those two techniques. As a result, the hybrid optimization technique has proved to be efficient for the grain optimization design.

Acknowledgement

Supported by : Inha University

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