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ARGON을 이용한 스마트 무인기 비행하중해석

Loads Analysis of Smart UAV Using ARGON

  • 발행 : 2005.07.01

초록

스마트 무인기 비행하중해석을 위해서는 규정과 하중조건을 준비하고, 공기력, 중량 및 구조 모델링을 수행해야 한다. 항공기 비행하중 해석시 공기력은 일반적으로 패널방법을 이용하여 산출하게 된다. 본 연구에서는 하중해석을 위해 In-house 프로그램인 ARGON을 사용하였다. ARGON은 KARI와 TsAGI가 공동 개발한 고정익 항공기 설계 프로그램으로서 비행하중, 지상하중, 플러터 및 응력해석을 지원한다. 본 논문에서는 FAR 23급 항공기인 스마트 무인기의 비행하중해석을 ARGON을 이용하여 수행하였고 그 결과를 제시하였다.

For flight loads analysis of Smart UAV, applicable regulations and loads conditions should be prepared in advance, and modeling for aerodynamics, weight, and structure should be performed. Panel method is usually adopted for aircraft loads analysis to obtain aerodynamic loads. In this study, ARGON which is a multidisciplinary fixed wing aircraft design software co-developed by KARI and TsAGI was used for loads analysis. ARGON can be utilized for flutter and stress analysis as well as for flight and ground loads analysis. In this paper, flight loads analysis of Smart UAV which is a FAR 23 category airplane was performed with ARGON and the results were presented.

키워드

참고문헌

  1. Jun, S. M., Jun, O. C. and Han, Y. M., 'Structural Loads Analysis of Military Specification Pitching Maneuver', Journal of The Korean Society for Aeronautical and Space Science, Vol. 27, May 1999, pp. 1-10
  2. ARGON, Multidisciplinary Analytical Support of Aircraft Design, Central Aerohydrodynamics Institute, 1991
  3. Federal Aviation Regulation (FAR), Part 23 - Airworthiness Standards : Normal, Utility, and Acrobatic Category Airplanes, 2003
  4. Bisplinghoff, R. L., Ashley, H., and Halfman, R. L., Aeroelasticity, Addison Wesley Publishing Company, 1957
  5. Development of Analysis and Application Techniques of Composite Materials for Aircrafts (1), Korea Aerospace Research Institute, 1992
  6. Chapra, S. C. and Canale, R. P., Numerical Methods for Engineers, McGRAW-Hill, 1990, pp. 596-606

피인용 문헌

  1. Flight Loads Analysis of Aircraft with High Aspect Ratio Flexible Wing by Using MSC/NASTRAN vol.41, pp.8, 2013, https://doi.org/10.5139/JKSAS.2013.41.8.657