Journal of the Korean Society of Propulsion Engineers (한국추진공학회지)

The Korean Society of Propulsion Engineers (한국추진공학회)
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A Study on the Optimum Design of Finocyl Grain Using Genetic Algorithm

유전 알고리즘을 이용한 Finocyl 그레인 형상 최적 설계 연구

  • Yoo, JinSeok (Department of Aerospace Engineering, Inha University) ;
  • Kang, Dongwon (Department of Aerospace Engineering, Inha University) ;
  • Roh, Tae-Seong (Department of Aerospace Engineering, Inha University) ;
  • Lee, Hyoung Jin (Department of Aerospace Engineering, Inha University)
  • Received : 2022.05.09
  • Accepted : 2022.06.15
  • Published : 2022.06.30
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Abstract

Existing Finocyl grain designs assume configurations and repeat the process of configuration modification and confirmation of the requirements through burn-back analysis. Such a design increases the design fatigue of workers and has a problem of different design completeness depending on capabilities. Therefore, this study devised an optimal design method that applied genetic algorithms to the Burn-back automation analysis program to solve the problem of existing design. For stable search, variable-offset and non-drawable configuration control techniques were developed. The program performance was verified through the searching neutral and double thrust grains.

기존 Finocyl 그레인 형상 설계는 임의의 형상을 가정하고 Burn-back 해석을 통해 요구조건 만족 여부 확인, 형상 수정의 과정을 반복한다. 이와 같은 설계는 작업자의 설계 피로도를 높이고, 역량에 따라 설계 완성도가 상이한 문제를 가지고 있다. 이에 본 연구는 기존 설계의 문제를 해결하기 위해 Burn-back 자동화 해석 프로그램에 유전 알고리즘을 적용한 최적 설계 방법을 개발하였다. 안정적인 탐색을 위해 가변형 Offset, 작도 불능 형상 변수 제어 기법을 개발하고, 중립형 및 이중추력형 면적선도 형상을 설계하여 성능을 검증하였다.

Keywords

Acknowledgement

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(NO. 2021R1A2C1095356).

References

  1. Oh, S.H., Kim, Y.C., Cha, S.W. and Roh, T.S., "Study of Hybrid Optimization Technique for Grain Optimum Design," International Journal of Aeronautical and Space Sciences, Vol. 18, No. 4, pp. 780-787, 2017. https://doi.org/10.5139/IJASS.2017.18.4.780
  2. Park, C.W., Roh, T.S., Lee, H.J. and Jung, E.H., "Analysis of Burn-back Tendency on the Finocyl Grain," Journal of the Korean Society of Propulsion Engineers, Vol. 25, No. 2, pp. 55-65, 2021. https://doi.org/10.6108/KSPE.2021.25.2.055
  3. Lee, D.H., Yoon, M.W. and Hwan, K.S., "Development of the Dual-Thrust Rocket Motor," Journal of the Korean Society for Aeronautical & Space Sciences, Vol. 32, No. 9, pp. 130-135, 2004. https://doi.org/10.5139/JKSAS.2004.32.9.130
  4. Khurram Nisar, Liang Guozhu and Qasim Zeeshan, "A Hybrid Optimization Approach for SRM FINOCYL Grain Design," Chinese Journal of Aeronautics, Vol. 21, No. 6, pp. 481-487, 2008. https://doi.org/10.1016/S1000-9361(08)60164-8
  5. Saeed Mesgari, Mehrdad Bazazzadeh and Alireza Mostofizadeh, "Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction," International Journal of Aerospace Engineering, Vol. 2019, 2019.
  6. Kim, S.M., Young, M.C., Roh, T.S. and Choi, D.W., "A Study on Diagnostics of Single Performance Deterioration of Aircraft Gas-Turbine Engine Using Genetic Algorithms," Journal of The Korean Society Aeronautical and Space Sciences, Vol. 35, No. 3, pp. 238-247, 2007. https://doi.org/10.5139/JKSAS.2007.35.3.238
  7. Jin, K.K., Genetic Algorithms and Their Applications, 1st ed., Kyowoo Inc., Seoul, S.E.L., Korea, Cp. 5, 2002.