Journal of the Korean Society of Propulsion Engineers (한국추진공학회지)

The Korean Society of Propulsion Engineers (한국추진공학회)
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Study on Solid Propellant Grain Burn-back Analysis Applying Face Offsetting Method

Face Offsetting Method를 적용한 고체 로켓 모터 그레인 Burn-back 해석 연구

  • Oh, Seok-Hwan (Department of Aerospace Engineering, Inha University) ;
  • Lee, Sang-Bok (Department of Aerospace Engineering, Inha University) ;
  • Kim, Yong-Chan (Department of Aerospace Engineering, Inha University) ;
  • Cha, Seung-Won (Department of Aerospace Engineering, Inha University) ;
  • Kim, Kyoung-Rae (Department of Aerospace Engineering, Inha University) ;
  • Kim, Duk-Min (Department of Aerospace Engineering, Inha University) ;
  • Lee, Hyoungjin (Department of Aerospace Engineering, Inha University) ;
  • Ro, Tae-Seong (Department of Aerospace Engineering, Inha University)
  • Received : 2018.06.11
  • Accepted : 2019.06.16
  • Published : 2019.08.01
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Abstract

The 3-dimensional grain burn-back analysis is performed using the face offsetting method for calculating the solid rocket motor performance. The grain burning configuration analysis is a moving surface problem that calculates the regression of the burning surface. In the previous study, various moving interface analysis methods were applied for the grain burn-back analysis, but the results were imperfect. In this study, a 3-dimensional grain burn-back analysis module is developed using the face offsetting method, which combines the advantages of the existing moving interface analysis methods to increase the accuracy and robustness. As a result, the face offsetting method is proved to be efficient for the grain burn-back analysis.

고체 로켓 모터 성능을 계산하기 위해 Face offsetting method를 사용하여 3차원 그레인 burn-back 해석을 수행하였다. 그레인 연소 형상 해석은 표면의 이동을 계산하는 이동 경계면 문제이다. 기존 연구에서는 다양한 이동 경계면 해석 기법이 그레인 burn-back 해석에 적용되었으나 결과가 불완전했다. 이에 본 연구에선 face offsetting method를 사용한 그레인 burn-back 해석 모듈을 개발하였다. Face offsetting method는 기존 해석 기법의 장점을 조합하여 강건하고 정밀한 이동 경계면 해석을 수행한다. 해석 결과, face offsetting method가 그레인 burn-back 해석에 유용함을 검증하였다.

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References

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