Transactions of the KSME C: Technology and Education (대한기계학회논문집 C: 기술과 교육)

The Korean Society of Mechanical Engineers (대한기계학회)
권호 표지
DOI QR코드

DOI QR Code

Design of Experiments for Optimization of Helicopter Flight Tests

헬리콥터 비행시험 최적화를 위한 실험계획법의 적용

  • Byun, Jai-Hyun (Dept. of Industrial and System Engineering and Research Center for Aircraft Parts Tech., Gyeongsang Nat'l Univ.) ;
  • Lee, Gun-Myung (School of Mechanical Engineering and Research Center for Aircraft Parts Tech., Gyeongsang Nat'l Univ.) ;
  • Kim, Se-Hee (Rotor Performance Section, Korea Aerospace Industries)
  • 변재현 (경상대학교 산업시스템공학부, 항공기부품기술연구소) ;
  • 이건명 (경상대학교 기계공학부, 항공기부품기술연구소) ;
  • 김세희 (한국항공우주산업(주))
  • Received : 2014.06.03
  • Accepted : 2014.06.26
  • Published : 2014.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

In developing an aircraft, configuration determination and requirement proofing depend on flight test results. Since the flight tests require much time and high cost, systematic flight test planning and analysis are needed to reduce cost and development time. This paper presents a desirability function approach to present an integrative measure of vibration levels at important positions and suggests a fractional factorial design which is one of the experimental design methods to help perform systematic flight tests. A method to perform flight tests in stages is also suggested to further reduce the number of flight tests.

항공기를 개발하는데 있어 형상 결정과 요구도 입증은 주로 비행시험 결과에 의존한다. 비행시험은 많은 시간과 비용을 요구하므로 비행시험 계획을 체계적으로 수립하고 분석함으로써 비용절감과 일정단축에 기여할 수 있다. 본 논문에서는 한국형 기동헬기에 적용된 진동 비행시험 사례를 적용하여 비행시험 계획을 체계적으로 수립하고 분석할 수 있는 방안을 제시하였다. 본 논문에서는 주요 부위에서 측정한 진동수준 값을 가지고 종합적인 진동수준 만족도를 하나의 수치로 나타내기 위하여 호감도 함수를 채택하고 진동수준의 측정을 위한 비행시험을 체계적으로 수행하기 위하여 실험계획법의 하나인 부분요인배치법을 사용하였다. 또한 비행시험을 단계적으로 수행하여 비행시험 횟수를 더욱 줄일 수 있는 방법을 제시하였다.

Keywords

References

  1. Box, G. E. P., Hunter, J. S. and Hunter, W. G., 2005, Statistics for Experimenters - Design, Innovation, and Discovery, 2nd Edition, Wiley, New York.
  2. Myers, R. H. and Montgomery, D. C., 2002, Response Surface Methodology, Process and Product Optimization Using Designed Experiments, 2nd Edition, Wiley, New York.
  3. Simpson, J. R., Listak, C. M. and Hutto, G. T., 2013, "Guidelines for Planning and Evidence for Assessing a Well-Designed Experiments," Quality Engineering, Vol. 25, No. 4, pp. 333-355. https://doi.org/10.1080/08982112.2013.803574
  4. Derringer, G. G. and Suich R., 1980, "Simultaneous Optimization of Several Response Variables," Journal of Quality Technology, Vol. 12, No. 4, pp. 214-219.
  5. Johnson, R. T., Hutto, G. T., Simpson, J. R. and Montgomery, D. C., 2012, "Designed Experiments for the Defense Community," Quality Engineering, Vol. 24, No. 1, pp. 60-79. https://doi.org/10.1080/08982112.2012.627288
  6. Simpson, J. R. and Wisnowski, J. W., 2001, "Streamlining Flight Test with the Design and Analysis of Experiments," Journal of Aircraft, Vol. 38, No. 6, pp. 1110-1116. https://doi.org/10.2514/2.2879
  7. Tucker, A. A., Hutto, G. T. and Dagli, C. H., 2010, "Application of Design of Experiments to Flight Test: A Case Study," Journal of Aircraft, Vol. 47, No. 2, pp. 458-463. https://doi.org/10.2514/1.40301
  8. Wilson, S. R., 2011, "Statistical Design and Analysis of Experiments for Next Generation Air Transportation Research," NASA Statistical Engineering Symposium.
  9. Lenth, R. V., 1989, "Quick and Easy Analysis of Unreplicated Factorials," Technometrics, Vol. 31, No. 4, pp. 469-473. https://doi.org/10.1080/00401706.1989.10488595