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백승길,박중용,Paek, Seung-Kil,Park, Joongyong 항공우주시스템공학회 2015 항공우주시스템공학회지 Vol.9 No.4
The purpose of this research is to develop co-simulation methodology of codes developed in different modeling and simulation environment. We develop aerodynamic FMU(Functional Mock-up Unit) meeting FMI(Functional Mock-up Interface) specification version2 utilizing Legacy FORTRAN aerodynamic code based on unsteady vortex lattice method. It is concluded that making FMU is possible utilizing Legacy code made in any language which can be compiled and linked with object in FMI API coded in C language. This paper explains QTronic's method of using FMU SDK(Software Development Kit) and suggestion for using FORTRAN properly. Finally, we make articulated rotor/aerodynamics co-simulation by integrating aerodynamics FMU and rotor FMU developed by Modelica.
Redmine과 Git을 활용한 헬리콥터 능동진동제어시스템 소프트웨어 형상관리
백승길,박중용,Paek, Seung-Kil,Park, Joongyong 한국시스템엔지니어링학회 2017 시스템엔지니어링학술지 Vol.13 No.1
Korea Aerospace Research Institute takes part in the vibration control software development for an Active Vibration Control System (hereafter, AVCS) for helicopters with Korea Aerospace Industries Ltd. in the Light Civil Helicopter (LCH) Project. The vibration control software is being developed per RTCA/DO-178C certification regulation and use of configuration management tools for software outputs is required. Redmine, an open source software is for issue or bug tracking and management software. Git, another open source software is a distributed version control software and is developed for Linux OS development. This paper introduces the functionalities of Redmine and Git, the reason why they are selected for the configuration management tool for the software outputs, and how they are being used for AVCS software development.
지상진동시험결과를 이용한 KC-100 항공기의 플러터 해석모델 보정
백승길(Seung-Kil Paek),최용준(Yong-Joon Choi) 한국소음진동공학회 2011 한국소음진동공학회 학술대회논문집 Vol.2011 No.10
The airframe ground vibration tests were conducted on the KC-100 aircraft according to the regulation requirement, KAS 23.629(a)(2) and the modal characteristics for the target modes were measured. To make FE model tuning, a design sensitivity approach with engineering judgment was implemented using MSC/Nastran and Attune, a genetic algorithm based parameter optimization software. Based on the comparison between initial prediction and test results, design variables such as beam cross-sectional properties and spring stiffnesses were devised. As the results, the correlation of the FE model to the GVT results was made appropriately, meeting the goal of matching the target frequencies within 5%.