Journal of the Korean Society of Propulsion Engineers (한국추진공학회지)

The Korean Society of Propulsion Engineers (한국추진공학회)
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Design Optimization and Analysis of a RBCC Engine Flowpath Using a Kriging Model Based Genetic Algorithm

Kriging 모델기반 유전자 알고리즘을 이용한 RBCC 엔진 유로 최적설계 및 분석

  • Chae, Sang-Hyun (Institute of Advanced Aerospace Technology, Seoul National University) ;
  • Kim, Hye-Sung (Department of Aerospace Engineering, Pusan National University) ;
  • Yee, Kwan-Jung (Department of Mechanical and Aerospace Engineering, Seoul National University) ;
  • Oh, Se-Jong (Department of Aerospace Engineering, Pusan National University) ;
  • Choi, Jeong-Yeol (Department of Aerospace Engineering, Pusan National University)
  • Received : 2016.11.01
  • Accepted : 2017.01.13
  • Published : 2017.02.01
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Abstract

A design optimization method is applied for the flow path design of RBCC engine, an important factor for the determining the propulsion performance operating at air-breathing mode. A design optimization was carried out to maximize the specific impulse of the RBCC engine by using a genetic algorithm based on the Kriging model. Results are analyzed using ANOVA and SOM. Design conditions of ramjet and scramjet mode are selected as Mach number 4 at 20 km altitude and Mach number 7 at 30 km, respectively. The optimized design presents that the specific impulse is increased by 7% and 10% on each condition than the baseline design.

RBCC 엔진의 공기흡입 모드 추진성능을 결정하는 주요 요소인 유로 형상 설계를 위하여 최적설계 기법을 적용하였다. Kriging 모델 기반의 유전자 알고리즘을 이용하여 RBCC 엔진의 비추력을 최대로 하는 최적화를 수행하였으며, 분산분석법과 자가조직도를 통해 설계결과를 분석하였다. 램제트 및 스크램제트의 설계 조건을 각각 고도 20 km, 마하수 4 및 30 km, 마하수 7 설정하여 최적화를 수행한 결과, 기본 형상에 비해 각 모드에서 약 7% 및 10%의 비추력 상승을 얻을 수 있었다.

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References

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