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배플 구조변경이 Shell-Tube 열교환기의 열전달성능에 미치는 영향
후영영(Hou, Rongrong),조정권(Cho, Joeng-Kwon),윤준규(Yoon, Jun-Kyu),임종한(Lim, Jong-Han) 한국산학기술학회 2015 한국산학기술학회논문지 Vol.16 No.5
셀-튜브 열교환기는 다양한 크기와 유동형태로 쉽게 제작이 용이함으로 산업분야에 널리 이용된다. 본 연구에서는 열교환기의 열전달성능을 도모하고자 배플의 컷 방향, 배플의 경사각 및 배플의 회전각 등을 변경하여 ANSYS FLUENT v.14를 사용한 SST К-ω 난류모델을 적용하여 쉘 내부의 열전달률 및 압력강하 특성을 해석하였다. 그 해석결과로 배플의 컷 방향은 수평형 모델 A보다 수직형 모델 B 및 각도 45°형 모델 C가 이 열전달성능이 향상되는 것으로 나타났다. 또한 배플의 경사각을 10°로 적용한 경우와 배플의 회전각을 0°-90°-180°-270°로 배치한 모델 D의 경우가 열전달률 및 압력강하 특성이 우수한 결과를 나타냈다. Shell-tube heat exchanger is widely applied in industrial field by easily manufacturing as to various size and flow patterns. In this study, by changing baffle’s cut direction, tilt angle and rotational angle as well as by using SST (Shear Stress Transport) К-ω turbulence model in ANSYS FLUENT v.14, the heat transfer rate and pressure drop characteristics of inner shell will be analyzed to improve heat transfer ability. As a result of analysis, heat transfer performance according to cut direction of baffle has been improved with vertical model B and angle 45° model C than horizontal model A. In addition, the tilt 10° of the baffle and rotational angle 0°-90°-180°-270° of model D showed better result in heat transfer rate and pressure drop.
임철웅 ( Cheoul Woong Rim ),조정권 ( Jeong Kwon Cho ),김수열 ( Su Yeol Kim ),김주영 ( Ju Young Kim ) 한국안전학회(구-한국산업안전학회) 2012 한국안전학회지 Vol.27 No.3
Traffic Accident Merging Index (TAMI) is developed for TMACS (Traffic Safety Information Management Complex System). TAMI is calculated by combining ``Severity Index`` and ``Frequency``. The existing indexes are Traffic deaths per 100,000 population, Traffic deaths per 100,000 inhabitants/per billion veh-km, etc. However, there is no consistency in using them among local governments, so it can create confusion. Moreover, the index level is too complicated to understand. Therefore, this study suggests new traffic safety index, TAMI. It will work to improve the weaknesses and present accurate status of traffic safety in local governments
교통사고통합지수를 이용한 차년도 지방자치단체 교통한전수준 추정에 관한 연구
임철웅 ( Cheoul Woong Rim ),조정권 ( Jeong Kwon Cho ) 한국안전학회(구 한국산업안전학회) 2012 한국안전학회지 Vol.27 No.4
Traffic Accident Merging Index (TAMI) is developed for TMACS (Traffic Safety Information Management Complex System), TAMI is calculated by combining ``Seventy Index and Frequency``, This paper suggest the accurate TAMI prediction model by time series forecasting. Preventing the traffic accident by accurately predicting it in advance can greatly improve road traffic safety. Searches the model which minimizes the error of 230 local self-governing groups, TAMI of 2007-2009 years data predicts TAMI of 2010. And TAMI of 2010 compares an actual index and a prediction index. And the error is minimized the constant where selects. Exponential Smoothing model was selected. And smoothing constant was decided with 0.59. TAMI Forecasting model provides traffic next year safety information of the local government.