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횡자속 선형전동기를 이용한 분기형 OHS 시스템에 관한 연구
박건우(Gun-Woo Park),이근선(Geun-Sun Lee),윤종보(Jong-Bo Yun),문인호(In-Ho Moon) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
본 논문은 LCD 생산라인의 물류 자동화 시스템 중 OHS(Over Head Shuttle)을 분기가 되도록 하여, 이송 효율을 높이고, 이송거리를 단축시키기 위한 선형 이송시스템 개발과 이에 가능한 영구자석 여자 횡자속 선형 전동기 개발에 관한 내용이다. 3차원 FEM 해석과 정특성 실험을 통해 전동기의 특성을 분석하여, 직선-곡선 레일과 분기구간에서 이송 가능한 횡자속 선형전동기 추진모듈의 사양을 결정하고, 분기 장치와 비접촉 전원 공급 장치를 포함한 이송시스템 시작품을 설계, 제작하여 OHS 시스템 등의 이송시스템에 적용 가능한지 그 타당성을 검토하였다.
金秀生,李根善 동아대학교 환경문제연구소 1991 硏究報告 Vol.14 No.1
The study was been investigated and analyzed over two periods, August and October of 1990 for the purpose of examining Eutrophication of artificial lake. As a result of the study, we proved the correlationship between water quality condition depending on depth and season and concentration of nutrient of chlorophyll-a and we examined trophic state of lake. N/P difference, TSI, phosporus model and got Estimation of Environmental Assimilating capacity by permitted load and subtracted load of T-P. 1. The differences of water temperatures at four points according to the depth of water are : We have got a maximum value, 8℃ at HY-4 in the firstperiod and a minimum one, 3℃ at HY-1 in the sencond in August, the first period stablization was found however it was rarely found on the second period. 2. As a result of Estimation at four different depth of water over two periods, we could discover a vigorus of pH, DO, chlorophyll-a. In the first period the maximum surface concentration chlrophyll-a was 28.5㎎/㎥. 3. N/P difference was from 48.8 to 21.7 the average was 30.2 4. The correlationship between nutrient and chlorophyll-a concentration was r=0.78 5. We estimated applying carlson TSI(Trophic state index) Which shows trophic state of the lake and got TSI(CHI)55, TSI(TP)56 mesotrophic state. 6. We have adopted which were developed considering nutrient as limiting factor and obtained the result as follows : Vollenweider Model case Eutrophic state Larsen and Mercier Model case Eutrophic state Dillon Model case Mesotrophic state 7. Evaluating predictable value and real value of model by T-P. We could have the closest approximate value in the case of kirchner/Dillon model.