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비정질 실리콘의 부분적 알루미늄 유도 결정화 공정에서의 급속 열처리 적용 가능성
황지현,양수원,김영관,Hwang, Ji-Hyun,Yang, Su-Won,Kim, Young-Kwan 한국결정성장학회 2019 한국결정성장학회지 Vol.29 No.2
박막 태양전지에 주로 적용되는 다결정 규소층을 AIC(Aluminum Induced Crystallization) 공정을 이용하여 제조하였다. 결정립의 확대를 위하여 selective diffusion barrier 사용하였다. 이 diffusion barrier는 $Al_2O_3$ 막을 사용하였다. 공정시간의 단축을 위하여 열처리는 RTA(Rapid Thermal Annealing) 공정으로 진행하였다. 비정질 실리콘의 결정화는 XRD 측정을 통해 분석했다. 그 결과 $500^{\circ}C$에서 결정화되었으며, 결정 크기는 $15.9{\mu}m$로 계산되었다. In this study, polycrystalline silicon thin film useful for the solar cells was fabricated by AIC(Aluminum Induced Crystallization) process. A diffusing barrier for this process is prepared with $Al_2O_3$. For the maximization of the grain size of the polycrystalline silicon, a selective blasting of the $Al_2O_3$ diffusing barrier was conducted before annealing treatment. The heat treatment for the activation of the amorphous-Si (a-Si) layer was carried out with Rapid Thermal Annealing (RTA) process. Crystallization of the a-Si layer was analyzed with XRD. It was confirmed that a-Si was crystallized at $500^{\circ}C$ and the silicon crystal is observed to be formed and the grain size of the polycrystalline silicon was observed to be $15.9{\mu}m$.
영구자석 스크랩으로 합성한 산화철 나노입자의 물성에 미치는 열처리 온도의 영향
홍성제,홍상혁,조아진,김용성,김병준,양수원,이재용,Hong, Sung-Jei,Hong, Sang Hyeok,Jo, Ajin,Kim, Young-Sung,Kim, ByeongJun,Yang, Suwon,Lee, Jae-Yong 한국청정기술학회 2022 청정기술 Vol.28 No.2
In this study, iron oxide (FeO<sub>x</sub>) nanoparticles were synthesized using iron (Fe) by-products recovered from NdFeB permanent magnet scraps, and the effect of heat-treatment temperature on the physical properties of the FeO<sub>x</sub> nanoparticles was investigated. In order to prepare the FeO<sub>x</sub> nanoparticles, 2.0 M ammonia (NH<sub>4</sub>OH) solution was added to an iron by-product solution diluted to c.a. 10 wt% in D.I. water, which led to the precipitation of the iron oxide precursor. Then, the FeO<sub>x</sub> nanoparticles were synthesized by heat-treatment at 300 ℃, 400 ℃, 500 ℃ and 600 ℃. After that, the physical properties of the FeO<sub>x</sub> nanoparticles were investigated in order to understand the effect of the heat-treatment temperature. The results of the X-ray diffraction (XRD) analysis showed that the diffraction peak in accordance with the <104> direction increased as the heat-treatment increased, and a diffraction peak indicating the α-Fe<sub>2</sub>O<sub>3</sub> crystal structure was detected at heat-treatment temperatures above 500 ℃. The BET specific surface area analysis revealed that the specific surface area decreased as the heat-treatment temperature increased to above 400 ℃. Observation with a high resolution transmission electron microscope (HRTEM) showed that rod-shaped nanoparticles were formed, and the size of the nanoparticles showed a tendency to increase as the heat-treatment temperature increased.
확장칼만필터와 유전자 알고리즘을 사용하는 구조물 시스템 식별
윤다요 ( Yun Da Yo ),오병관 ( Oh Byung Kwan ),양수원 ( Yang Soo Won ),이설호 ( Lee Seol Ho ),박효선 ( Park Hyo Seon ) 한국구조물진단유지관리공학회 2017 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.21 No.2
Recently, as the awareness of safety has become more important, studies on damage assessment techniques for building structures have been actively conducted. The damage of the building structure is caused by the decrease of the stiffness which is inherent dynamic characteristic of the structural system, and the decrease of stiffness acts as a direct variable connected to the collapse of the structure. there have been developed techniques for estimating the inherent dynamics of a structure to identify and evaluate damage to the structure. In this study, we estimate the layer mass due to the modeling error through the optimization algorithm, Genetic Algorithm, and use the optimization algorithm GA to optimize the error covariance matrix, system noise and measured noise covariance matrix We propose an optimal state estimation algorithm. The objective function of the GA algorithm is obtained by the residual which is the difference between the measured values obtained from the EKF calculation and the values obtained from the system model. We verified the feasibility of the algorithm through a 4-DOF system.