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진승보,박정주,Jin, Seung Bo,Park, Jung Ju 한국시스템엔지니어링학회 2006 시스템엔지니어링학술지 Vol.2 No.1
The KSLV-I satellite launch vehicle will be launched in a space center currently under construction. The Space Center which is an advance post base of space development of Korea is located on Oenaro island in Kohung, South Cholla Province. A Ground Complex of the Space Center consists of an AC(Assembly Complex), a LC(Launch Complex), and a MCC(Mission Control Center). Assembly and test facilities are located in the AC in which stage assembly, integrated assembly, check-up, certification test, and pre-launch test are made effectively. A launch pad, fuel supply facilities, a launch control center and associated supporting facilities are located in the LC, and the MCC has control over the space center. These ground complex facilities have diverse forms of an interface with mechanical device, electric device, and etc. These should also provide optimum condition and performance during launch operation processes of the launch vehicle. This paper introduces the result of R&D for the AC of the ground complex performed during system design period.
진승보(Seung-bo Jin),정의승(Eui-Seung Chung) 한국항공우주연구원 2010 항공우주기술 Vol.9 No.1
KSLV-Ⅰ 발사체의 성공적인 발사를 위해서 필요한 발사장(GC, Ground Complex)은 조립장(AC, Assembly Complex)과 발사대(LC, Launch Complex)로 구분되며, 현재 고흥 외나로도 우주센터에 위치하고 있다. 그중 조립장은 KSLV-Ⅰ 발사체 1단과 상단부의 입고, 총조립, 각종 성능시험, 발사 전 시험 및 준비 점검 등이 이루어지며, 이러한 기술적인 운영을 효율적으로 수행하기 위해 필요한 장비들이 조립장 종합조립동에 설치되어 있다. 이들 운용 장비들은 발사체의 여러 기계장치 그리고 전기, 전자장치와 다각적이고 다양한 형태의 인터페이스를 가지게 되며 발사체의 발사 전 준비점검과정에 있어 최적의 조건과 성능 보장을 제공하여야 한다. 본 논문에서는 이러한 운용장비 중에서 발사체의 이동, 조립 및 분해 작업과 시험등을 지원하기 위한 기계지원장비에 대한 개발 요구조건 및 제작 성능시험을 소개하고 있다. Ground complex composed of Assembly Complex(AC) and Launch Complex(LC) which is located on Oenarodo space center in Kohung is necessary for successful launching of KSLV-Ⅰ. AC performs accepting of a KSLV-Ⅰ 1st stage and 2nd stage, stage assembly, the integrated launch vehicle, the checked out, and all kinds of performance test, pre-launch tests and processing. At AC, the mechanical support equipments, that is called the technological equipments, are installed in the Launch Vehicle Assembly Test Building(LV ATB). These technological equipments have diverse forms of an interface with mechanical/electric device of the launch vehicle and have to provide a condition and the performance guarantee of an optimum in the launching operation process. In this paper, the requirements specification and manufacturing performance test for the mechanical support equipments which are used in the assembly/disassembly and test of the launch vehicle are introduced.
저궤도 우주환경하의 실란처리된 그래핀 첨가 나노 복합재료의 물성특성
노재영 ( Jae Young Noh ),진승보 ( Seung Bo Jin ),김천곤 ( Chun Gon Kim ) 한국복합재료학회 2015 Composites research Vol.28 No.3
이 논문은 저궤도 우주환경하에서 그래핀 충진 고분자 나노복합재료에 대한 물성 변화를 고찰하였다. 고분자 기지재와의 적합성과 원자산소 공격에 대한 탄소재료의 저항성을 향상시키기 위해 유기실란으로 그래핀 옥사이드의 표면을 실란처리를 수행하였다. 실란이 그래핀 옥사이드 표면에 결합여부를 XPS 장비를 사용하여 분석하였다. 실란 처리된 그래핀 옥사이드와 실란 처리하지 않은 그래핀 옥사이드를 강화재로 사용한 나노복합재료를 제작하여 순수 에폭시와 인장물성을 비교하였으며, 모사된 저궤도 우주환경에서의 물성 변화를 관찰하였다. 그결과 실란처리를 하여 그래핀 나노 복합재료를 제작할 경우 우주환경요소 중 원자 산소에 저항성을 가지는 것을 확인하였으며, 실란처리를 하지 않은 경우에는 오히려 성능이 감소함을 확인할 수 있었다. This study investigates the property of graphene filled polymer nanocomposites in LEO(Low Earth orbit) environment conditions. In order to improve compatibility with polymer matrices and resistance of carbon material against AO(Atomic oxygen) attack, silanization of graphene oxide with organosilane was carried out. The corresponding moieties were characterized through X-ray photoelectron spectroscopy (XPS). Graphene oxide filled nanocomposites were prepared using solution based processing methods. The sets of specimen series were tested in an accelerated LEO simulated space environment facility. Graphene oxide and silane treated graphene oxide reinforced nanocomposites were compared with neat epoxy. The comparison revealed that the silane treated graphene filled polymer composite shows inherent resistance against atomic oxygen attack while the lack of silane treatment resulted in a reduction in performance.
연속 최적화 문제에 대한 수렴성이 개선된 순차적 주밍 유전자 알고리듬
권영두,권순범,구남서,진승보,Gwon, Yeong-Du,Gwon, Sun-Beom,Gu, Nam-Seo,Jin, Seung-Bo 대한기계학회 2002 大韓機械學會論文集A Vol.26 No.2
A new approach, referred to as a successive zooming genetic algorithm (SZGA), is Proposed for identifying a global solution for continuous optimization problems. In order to improve the local fine-tuning capability of GA, we introduced a new method whereby the search space is zoomed around the design point with the best fitness per 100 generation. Furthermore, the reliability of the optimized solution is determined based on the theory of probability. To demonstrate the superiority of the proposed algorithm, a simple genetic algorithm, micro genetic algorithm, and the proposed algorithm were tested as regards for the minimization of a multiminima function as well as simple functions. The results confirmed that the proposed SZGA significantly improved the ability of the algorithm to identify a precise global minimum. As an example of structural optimization, the SZGA was applied to the optimal location of support points for weight minimization in the radial gate of a dam structure. The proposed algorithm identified a more exact optimum value than the standard genetic algorithms.
순차적 주밍 유전자 알고리즘 기법에 사용되는 파라미터의 최적화 및 검증
권영두(YOUNG-DOO KWON),권현욱(HYUN-WOOK KWON),김재용(JAE-YONG KIM),진승보(SEUNG-BO JIN) 한국해양공학회 2004 韓國海洋工學會誌 Vol.18 No.5
A new approach, referred to as a successive zooming genetic algorithm (SZGA), is proposed for identifying a global solution, using continuous zooming factors for optimization problems. In order to improve the local fine-tuning of the GA, we introduced a new method whereby the search space is zoomed around the design variable with the best fitness per 100 generation, resulting in an improvement of the convergence. Furthermore, the reliability of the optimized solution is determined based on the theory of probability, and the parameter used for the successive zooming method is optimized. With parameter optimization, we can eliminate the time allocated for deciding parameters used in SZGA. To demonstrate the superiority of the proposed theory, we tested for the minimization of a multiple function, as well as simple functions. After testing, we applied the parameter optimization to a truss problem and wicket gate servomotor optimization. Then, the proposed algorithm identifies a more exact optimum value than the standard genetic algorithm.