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선진원(Jinwon Sun),고준혁(Junhyuck Ko),김용모(Yongmo Kim) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
3-D model using the micro genetic algorithm has been applied to find the optimum combustion condition of diesel engine. It has been widely recognized that the micro genetic algorithm adopting the elitist strategy is more efficient than other optimization tools. In this study, The key design parameters including NOx, Soot, HC and BSFC has been reached to the optimum values through genetic algorithm. The optimization design analysis has be made for six design variables such as EGR, boost pressure, start of injection duration, mass in first pulse and dwell between pulse. This optimization has successfully demonstrated the capability to identify the optimum condition for simultaneously reducing NOx, Soot and BSFD. Numerical results suggest that the current approach can be used as a design tool for research development process of automobile engines.
백장열,선진원,박정훈,안은수,김장주,김윤희 한국공업화학회 2016 한국공업화학회 연구논문 초록집 Vol.2016 No.0
The azasiline unit was introduced for the first time as the donor moiety to synthesize a new deep blue TADF dye, DTPDDA. The azasiline unit was separated spatially from the acceptor of triazine owing to the large dihedral angle formed at the nitrogen-carbon bridge. Replacing the carbon connection by a silicon connection widens the bandgap suitable for blue emission. An efficient blue fluorescent OLED with the CIE coordinates of (0.149, 0.197) was fabricated with an unprecedented high EQE of 22.3% and low efficiency roll-off by doping DTPDDA in a mixed cohost system of mCP:TSPO1. Theoretical prediction assuming the fraction of radiative exciton as unity agrees well with EQE indicating efficient harvest of triplets occurring in DTPDDA through RISC.
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이수홍(Soohong Lee),선진원(Jinwon Sun),강성모(Sungmo Kang),김용모(Yongmo Kim) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The 1-D/3-D model using the micro genetic algorithm has been applied to find the optimum combustion condition of diesel engine. It is widely recognized that the micro genetic algorithm adopting the elitist strategy is more efficient than the other optimization tool. In the present approach. NO_x. Soot. HC and BSFC has been reached to optimized values through genetic algorithm with key design variables. The 1-D approach is based on six variables including EGR. CR. exhaust port length. intake port length, start of injection and swirl ratio. In the 3-D approach, the optimization design analysis has be made for four design variables such as EGR, duration of injection, start of injection and swirl ratio. This optimization has successfully demonstrated the capability to identify the optimum condition for simultaneously reducing NO_x, Soot and BSFC. These numerical results suggest that the current approach can be used as a design tool for research development process of automobile engines.<br/>