Journal of the Korean Society of Propulsion Engineers (한국추진공학회지)

The Korean Society of Propulsion Engineers (한국추진공학회)
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Design Reliability Estimation of Low Energy Exploding Foil Initiator

LEEFI형 착화장치의 설계 신뢰도 추정

  • Lee, Minwoo (Department of Mechanical & Automotive Engineering, Andong National University) ;
  • Back, Seungjun (Center for Reliability Education and Research, Andong National University) ;
  • Son, Youngkap (Department of Mechanical & Automotive Engineering, Andong National University) ;
  • Jang, Seung-gyo (Agency for Defense Development)
  • Received : 2017.09.12
  • Accepted : 2018.01.07
  • Published : 2018.10.01
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Abstract

This paper presents a simulation-based design reliability estimation method of a low-energy exploding foil initiator (LEEFI) using a meta-model and describes the design reliability estimation results. The flyer velocity of the LEEFI is critical to initiate the explosive. Evaluation of the flyer velocity from mechanistic models in open literature requires a long computation time due to the multi-physical phenomena that generate the velocity. Moreover, the higher levels of confidence required for an initiator with high reliability incur higher computation costs. Thus, a meta-model of the flyer velocity over time was constructed in order to increase the computational efficiency for a reliable estimation. For different distributions and sigma levels of the design variables, the design reliability estimation results using the meta-model are provided. Additionally, the computational efficiency and accuracy of the estimation method are analyzed.

본 논문은 시뮬레이션 기반으로 메타 모델을 이용하여 LEEFI형 착화장치의 설계 신뢰도를 추정하는 방법과 설계 신뢰도를 추정한 결과를 나타내었다. LEEFI형 착화장치에서 비행편 속도는 화약 기폭에 중대한 영향을 미친다. 복잡한 물리적 현상으로 비행편의 속도가 발생하기 때문에 문헌에 공개된 역학적 모델을 이용하여 비행편 속도를 평가하는 데 많은 연산 시간이 필요하다. 또한 높은 신뢰도를 가지는 착화기는 요구되는 신뢰수준이 증가할수록 신뢰도 평가에 연산 비용이 증가한다. 따라서 설계 신뢰도 추정시 연산 효율성을 증가시키기 위하여 시간에 따른 비행편 속도에 대한 메타모델을 구축하였다. 구축한 메타모델을 이용하여 설계 변수의 다양한 분포 및 시그마 수준에 따른 설계 신뢰도를 추정한 결과를 나타내었다. 그리고 제안하는 추정 방법에 대한 연산 효율성과 정확성을 분석하였다.

Keywords

References

  1. Choi, I. S., Chon, R. M., Back, S. J. and Son, Y. K., "Comparison Study of Operating System and One-shot System for Reliability Analysis Methodology," Korean Operations Research And Management Society Conference, Busan, Korea, pp. 981-985, May 2009.
  2. Ryu, J. H., Back, S. J. and Son, Y. K., “Comparison of Reliability Estimation Methods for Ammunition Systems with Quantal-response Data,” The Korea Institute of Military Science and Technology, Vol. 13, No. 6, pp. 982-989, 2010.
  3. Back, S.-J., Son, Y. K., Lim, S.-H. and Myung, I.-H., “Storage Life Estimation of Magnesium Flare Material for 81 mm Illuminating Projectile,” Journal of the Korea Institute of military science and technology, Vol. 18, No. 3, pp. 267-274, 2015. https://doi.org/10.9766/KIMST.2015.18.3.267
  4. Son, Y. K. and Kwon, T.-S., "Storage Reliability Estimation of One-Shot Systems using Accelerated Destructive Degradation Data", Journal of Mechanical Science and Technology, Vol. 30, No. 10, pp. 4439-4442. 2016. https://doi.org/10.1007/s12206-016-0908-9
  5. Back, S. J., Son, Y. K., Lee, S. Y., Ahn, M. K. and Kim, C. S., “Single Sample Grouping Methodology using Combining Data,” Journal of the Korea Institute of Military Science and Technology, Vol. 17, No. 5, pp. 611-619, 2014. https://doi.org/10.9766/KIMST.2014.17.5.611
  6. Crespo, L. G. and Kenny, S. P., "Robust Control Design for Systems with Probabilistic Uncertainty," NASA Technical Report (NASA/TP-2005-213531), 2005.
  7. Wang, G. G., and Shan, S., "Review of Metamodeling Techniques in Support of Computer-Based Engineering Design Optimization", Journal of Mechanical Design, Vol. 129, No. 4, pp. 370-380, 2007. https://doi.org/10.1115/1.2429697
  8. Nappert, L., "An Exploding Foil Initiator System," Defence Research Establishment Valcartier, Technical Report DREV-9502, 1996.
  9. Kim, K. J., Kwak, H. S., Kim, K. H. and Jang, S. G., "Analytic Study on Plasma Expansion of Thin-Film Bridge Burst and Flyer Acceleration in Exploding Foil Initiator," 45th Korean Society of Propulsion Engineers Fall Conference, Gyeongju, Korea, pp. 655-659, Nov. 2015.
  10. Martin, J. D. and Simpson, T. W., “Use of Kriging Models to Approximate Deterministic Computer Models,” American Institute of Aeronautics and Astronautics Journal, Vol. 43, No. 4, pp. 853-863, 2005. https://doi.org/10.2514/1.8650
  11. McKay, M. D., Beckman, R. J. and Conover, W. J., “A Comparison of Three Methods for Selecting Values of Input Variables in The Analysis of Output from a Computer Code,” Technometrics, Vol. 21, No. 2, pp. 239-245, 1979. https://doi.org/10.1080/00401706.1979.10489755
  12. Leon, S. J., Linear Algebra with Application, 8th ed., Prentice Hall, Upper Saddle River, NJ, 1998.
  13. Savage, G. J., Seecharan, T. S. and Son, Y. K., "Probability-Based Prediction of Degrading Dynamic Systems," Journal of Mechanical Design, Vol. 135, No. 3, 031002, 2013. https://doi.org/10.1115/1.4023280