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PVdF-HFP와 실리카가 코팅된 실크 견직물의 분리막 특성과 이를 채용한 리튬이온전지의 충방전 특성
오심건 ( Seem Geon Oh ),이영기 ( Young Gi Lee ),김광만 ( Kwang Man Kim ),이용민 ( Yong Min Lee ),김상헌 ( Sang Hern Kim ),김용주 ( Yong Joo Kim ),고장면 ( Jang Myoun Ko ) 한국화학공학회 2013 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.51 No.3
실크 견직물 표면에 poly(vinylidene fluoride-co-hexafkyrorpropylene) (PVdF-HFP)와 실라카 나노입자의 혼합물을 코팅한 분리막을 제조하고 분리막에 전해액을 함침시켜 리튬이온전지용 분리막 겸 전해질로 사용하기 위한 특성이 조사 되었다. 코팅막의 제조 시에는 전해액이 침투할 수 있는 미세다공의 형성을 심화시키기 위해 dibuty iphthalate (DBP) 가소제의 함량을 변화시키면서 코팅된 분리막의 이온전도도, 함습율, 전기화확적 안정성 등을 조사하였고, 이를 리튬이온전지에 탑재하여 여러 전류속도에 대한 충방전 특성도 함께 측정하였다. 결과적으로 실리카가 첨가되고 DBP를 40~50 wt% 사용하여 코팅된 실크 분라막이 가장 우수한 분사막 특성 및 고율 충방전 특성을 나타내었다. 이는 (i) 실크 견직물의 우수한 내구성과 내열성과 내열성 이외에 (ii) DBP에 의한 미세다공 형성, (iii) 실리카에 의한 함습률 향상 등에 의해 코팅막의 표면적 및 코팅된 분리막의 이온전도도가 크게 향상되었기 때문이다. Mixtures of poly(vinylidene fluoride-co-hexafluoropropylene) (PVdF-HFP) and silica nanoparticles arecoated on the surface of a silk fabrics separator. The coated separators are finally prepared by injecting an electrolyte solution and then characterized for use of lithium-ion battery separator/electrolyte. In the preparation, various contents of dibutylphthalate (DBP) as a plasticizer are used to enhance the formation of micropores within the coated membrane. The coated silk fabrics separators are characterized in terms of ionic conductivity, drenching rate, and electrochemical stability, and the charge-discharge profiles of lithium-ion batteries adopting the coated separators are also examined. As a result, the coated silk fabrics separator prepared using DBP 40~50 wt% and silica shows the superior separator properties and high-rate capability. This is due to (i) high sustainability of silk fabrics, (ii) the formation of micropores with the coated layer membrane by DBP, (iii) increase in drenching rate by silica nanoparticles to involve great enhance-ments in specific surface area and ionic conductivity.
Kim, Kyu-Rang,Seem, Robert C.,Park, Eun-Woo,Zack, John W.,Magarey, Roger D. The Korean Society of Plant Pathology 2005 Plant Pathology Journal Vol.21 No.2
Weather data for disease forecasts are usually derived from automated weather stations (AWS) that may be dispersed across a region in an irregular pattern. We have developed an alternative method to simulate local scale, high-resolution weather and plant disease in a grid pattern. The system incorporates a simplified mesoscale boundary layer model, LAWSS, for estimating local conditions such as air temperature and relative humidity. It also integrates special models for estimating of surface wetness duration and disease forecasts, such as the grapevine downy mildew forecast model, DMCast. The system can recreate weather forecasts utilizing the NCEP/NCAR reanalysis database, which contains over 57 years of archived and corrected global upper air conditions. The highest horizontal resolution of 0.150 km was achieved by running 5-step nested child grids inside coarse mother grids. Over the Finger Lakes and Chautauqua Lake regions of New York State, the system simulated three growing seasons for estimating the risk of grape downy mildew with 1 km resolution. Outputs were represented as regional maps or as site-specific graphs. The highest resolutions were achieved over North America, but the system is functional for any global location. The system is expected to be a powerful tool for site selection and reanalysis of historical plant disease epidemics.
Kyu Rang Kim,박은우,Robert C. Seem,John W. Zack,Roger D. Magarey 한국식물병리학회 2005 Plant Pathology Journal Vol.21 No.2
Weather data for disease forecasts are usually derived from automated weather stations (AWS) that may be dispersed across a region in an irregular pattern. We have developed an alternative method to simulate local scale, high-resolution weather and plant disease in a grid pattern. The system incorporates a simplified mesoscale boundary layer model, LAWSS, for estimating local conditions such as air temperature and relative humidity. It also integrates special models for estimating of surface wetness duration and disease forecasts, such as the grapevine downy mildew forecast model, DMCast. The system can recreate weather forecasts utilizing the NCEP/NCAR reanalysis database,which contains over 57 years of archived and corrected global upper air conditions. The highest horizontal resolution of 0.150 km was achieved by running 5-step nested child grids inside coarse mother grids. Over the Finger Lakes and Chautauqua Lake regions of New York State, the system simulated three growing seasons for estimating the risk of grape downy mildew with 1 km resolution. Outputs were represented as regional maps or as site-specific graphs. The highest resolutions were achieved over North America, but the system is functional for any global location. The system is expected to be a powerful tool for site selection and reanalysis of historical plant disease epidemics.