We prepare ZnO nanoparticles by environmentally friendly synthesis using Cyathea nilgiriensis leaf extract. Various phytochemical constituents are identified through the assessment of ethanolic extract of plant Cyathea nilgiriensis holttum by GC-MS analysis. The formation of ZnO nanoparticles is confirmed by FT-IR, XRD, SEM-EDX, TEM, SAED and PSA analysis. TEM observation reveals that the biosynthesized ZnO nanopowder has a hexagonal structure. The calculated average crystallite size from the high intense plane of (1 0 1) is 29.11 nm. The particle size, determined by TEM analysis, is in good agreement with that obtained by XRD analysis. We confirm the formation of biomolecules in plant extract by FT-IR analysis and propose a possible formation mechanism of ZnO nanoparticles. Disc diffusion method is used for the analyses of antimicrobial activity of ZnO nanoparticles. The synthesized ZnO nanoparticles exhibit antimicrobial effect in disc diffusion experiments. The biosynthesized ZnO nanoparticles display good antibacterial performance against B. subtilis (Gram-positive bacteria) and K. pneumonia (Gram-negative bacteria). Bio-synthesized nanoparticles using green method are found to possess good antimicrobial performance.

Using computational fluid dynamics (CFD), this study simulated the air supply and exhaust conditions inside KTXSancheon train cabin to analyze the airflow, velocity, temperature, and residence time distributions. Based on the analyzed airflow in the cabin, the trajectory properties of droplets with various diameters exhaled from a passenger in a specific seat were analyzed. In the train cabin, forced airflow was formed by the operation of an air conditioning unit, while air stagnation occurred through spinning vortices at the front and rear where there were no floor outlets. Droplet particles ≤36 μm in diameter were dispersed throughout the cabin following the airflow generated by the air conditioning unit. The degree of dispersion differed according to the passenger seat location. In addition, the expelled droplets were mostly deposited on the surfaces of passenger bodies, seats, and floor. The ratio of deposited droplets to suspended droplets was increased with increasing droplet size. Further, the CFD study allowed the prediction of the possibility of exposure to exhaled droplets by estimating the dispersion and deposition properties of droplets released from a passenger in a specific seat. This study can be utilized to adjust the operation of air conditioning units and encourage the installation of air-purifying units to minimize secondary infections.

최근 국내에서는 안전하고 고품질인 농산물에 대한 소비자의 선호도가 높아지고 있다. 고품질 농산물 생산과 환경오염을 줄이기 위해서는 화학비료와 같은 농자재의 과잉투입 문제를 해결하여야 하며 이를 위하여 변량시비에 관한 연구가 수행되고 있다. 변량시비용으로 널리 사용되는 원판식 입제 살포기의 경우 시비량이 변화함에 따라 살포패턴이 변화하는 문제점이 있다. 본 연구에서는 시비량 변화에 따른 살포패턴 변화 요인을 찾기 위하여 이산 요소 모델링과 고속카메라 촬영을 통하여 살포기 원판 위에서 의 입자거동을 분석하였다. 그 결과, 시비량이 증가함에 따라 원판회전 반대방향으로 비산되는 입자량 이 증가하게 되고 출구방향 조절장치의 출구 시작지점에서 빠져나가지 않고 출구 끝 부분에서 빠져나가 는 입자가 증가하여 원판 위에서 회전방향으로 더 많이 이동되어 살포되므로 살포패턴에 변화를 가져오 는 것으로 파악되었다. 이러한 문제를 해결하기 위하여 회전원판 위에 내부날개를 설치하여 회전 축 주 변에 낙하하는 입자를 원심력에 의해 출구방향 조절장치의 벽 쪽으로 강제 이동하도록 장치를 개선하여 원판 위 입자거동을 분석하였다. 그 결과, 시비량의 변화와 상관없이 회전축 주변의 입자가 출구방향 조절장치의 벽 쪽으로 이동하여 원판 위에서 회전하다가 조절장치의 출구 시작 부분에서 빠져나가 살포 되는 것으로 나타나 시비량의 변화에 따른 살포패턴의 변이가 줄어들 것으로 판단되었다. 차후, 균일한 살포패턴을 만들기 위해서 내부날개를 설치한 원판식 입제 살포기를 이용하여 다양한 시비조건에 따른 살포패턴 데이터를 수집 및 분석 하고자 한다.

Numerical analysis has been carried out to investigate particles behavior characteristics during the grinding process in the air. Grinding particles behavior is largely affected by many parameters such as operating conditions and process room geometry. Transient particle motion in the air is predicted, and the effects of particle diameter and device rotational speed on the behavior characteristics were compared. When particle size is not large enough, they shortly moves in a tangential direction of the device rotation, and then are mostly influenced by the air flow in the room. These results could be applicable to the optimal design of the grinding process room.