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희박 유기증기의 박막 진공 증착률 예측 방법에 관한 수치적 연구
차중원(Jungwon Cha),김동원(Dong-Won Kim),조서현(Seohyun Cho),이영종(Youngjong Lee),김형민(Hyung Min Kim) 대한기계학회 2018 大韓機械學會論文集B Vol.42 No.11
OLED 생산 공정 중 가장 핵심은, 증착에 사용될 유기물질을 가열하고 진공에 가까운 상태의 증착기 내부로 분사하여 유기물을 승화시켜 기판에 10~100 Å 두께로 증착시키는 공정이다. 승화된 유기물은 매우 낮은 압력을 유지하고 있어 매우 희박한 상태이며, 따라서 증착량은 유기물의 유동에 많은 영향을 받게 된다. 본 연구에서는 매우 낮은 압력을 유지하고 있는 진공증착기 안에서 희박한 압축성 유동 상태인 유기물의 유동해석을 통해서 증착률을 예측하고자, 크누센수의 2차 차수를 갖는 Karniadakis 미끄럼모델을 적용한 해석방법을 제안하였다. 유기물의 Karniadakis 미끄럼모델의 계수는 DSMC해석과 Navier-Stokes 방정식 해석결과 비교를 통해서 결정하였으며, 공개코드 OpenFoam의 buoyantSimpleFoam에 Karniadakis 미끄럼모델이 적용된 유동해석을 통해서 크누센와 증착기판의 위치변화에 따른 증착률 변화를 예측하였다. The most important process for producing organic light-emitting diode (OLED) panels is to deposit the heated organic materials on the substrate at a 10–100-Å thickness in a vacuum chamber. The sublimed organic material in the chamber, which maintains a very low pressure, is in a very rarefied state, so the rate of deposition thickness on the substrate is greatly influenced by the flow patterns of organic materials. The Karniadakis slip model with the second order of Knudsen number is proposed to predict the deposition rate by analyzing the rarefied organic material flow in the low-pressure vacuum chamber. The coefficients of the Karniadakis slip model of organic materials were determined by comparing the DSMC and Navier-Stokes equation flow analysis. In this research, the slip model is applied to BuoyantSimpleFoam of OpenFoam to predict the change of the deposition rate with the change of the position and Knudsen number.
Seunga Lee,Geunho Yoo,Jongjin Jang,Youngjong Won,남옥현 대한금속·재료학회 2014 ELECTRONIC MATERIALS LETTERS Vol.10 No.1
The optical and structural properties of nonpolar and semipolar InGaN/GaN quantum wells (QWs) grown on planar sapphire substrates and patterned sapphire substrates (PSSs) were investigated in order to understand the effect of defects on the luminescence. By introducing the PSS technique, surface morphological features were varied in number and size, and the defect density was significantly reduced by the PSS patterns, which resulted in the formation of low-defect regions. The photoluminescence (PL) analyses of nonpolar and semipolar QWs samples revealed that the semipolar (1122) QWs, which had better optical performance and higher In incorporation, are more suitable for application to long-wavelength emitters in the green-red spectral range and beyond. Moreover, particularly in the semipolar QWs, we could observe that the optical properties were enhanced by the decrease in defect density. It was also noted that In incorporation was increased in the high-defect regions and in the regions where arrowhead-like features existed.
Lee, Jang-Woo,Kwon, Taehoon,Kang, Youngjong,Han, Tae Hee,Cho, Chang Gi,Hong, Soon Man,Hwang, Suk-Won,Koo, Chong Min Elsevier 2018 Composites science and technology Vol.163 No.-
<P>In this study, sulfonated graphene oxide (sGO) with a large enhanced sulfonation degree of 1.65 mmol g(-1) was simultaneously introduced as a highly ion conduction-activating carbonaceous filler for ionic polymer-metal composite (IPMC) actuator. The nanostructured styrenic block copolymer/sGO/ionic liquid (IL) composite membrane actuators revealed much larger actuation performance than top-ranked polyelectrolyte/IL actuators ever reported so far in terms of bending strain (0.88% under 2 V dc), initial strain rate (0.312% min(-1)), and charge-specific displacement (276.4 mm C-1). Moreover, SSPB/sGO/IL actuators exhibited excellent actuation performance without drawbacks of conventional IPMCs, such as back-relaxation and early loss of inner solvent. In addition, via tracking the movement of the IL's anion through energy-dispersive X-ray spectroscopy (EDS) analysis, not only the transporting behaviour of IL but also the pumping effect with solvated ion complexes inside the actuator are confirmed for the first time.</P>
컴퓨터비전과 자연어 처리를 활용한 표정 인식 디지털 미디어아트 구현에 관한 연구
한재상 ( Han Jae-sang ),강윤서 ( Kang Yoon-seo ),권채연 ( Kwon Chae Yeon ),허원제 ( Heo Won-jae ),김영종 ( Youngjong Kim ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.1
본 논문은 자연어 처리와 Face Detection 기술을 활용하여 사용자의 현재 감정 상태에 따른 디지털 미디어 아트를 구현하는 방법을 기술한다. 사용자의 현재 표정과 감정을 분석하고, 감정에 따라 다양한 시각 효과 및 다른 성격의 텍스트를 화면에 송출하는 방식으로 사용자와 상호작용한다.