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돌출 열원을 갖는 3차원 밀폐 공간내에서의 자연대류-복사 복합 열전달에 대한 실험적 및 수치적 연구
백창인,이관수,김우승,Baek, Chang-In,Lee, Gwan-Su,Kim, Woo-Seung 대한기계학회 1996 大韓機械學會論文集B Vol.20 No.10
An experimental and numerical study on the three-dimensional natural convection-radiation conjugate heat transfer in the enclosure with heat generating chip has been performed. A 3-dimensional simulation model is developed by considering heat transfer phenomena by conduction-convection and radiation. Radiative transfer was analyzed with the discrete ordinates method. Experiments are conducted in order to validate the numerical model. Comparisons with the experimental data show that good agreement is obtained when the radiation effect is considered. The effects of the thermal conductivity of the substrate and power level on heat transfer are investigated. It is shown that radiation is the dominant heat transfer mode and the conductivity of the substrate has important effects on the heat transfer in the enclosure.
제네틱 알고리듬을 이용한 PCB 채널 내 칩배열의 열적 최적화
백창인,이관수,김우승,Baek, Chang-In,Lee, Gwan-Su,Kim, U-Seung 대한기계학회 1997 大韓機械學會論文集B Vol.21 No.3
A thermal optimization of the chip arrangement in the PCB channel oriented vertically and cooled by natural convection has been studied. The objective of this study is to find the chip arrangement that minimizes the maximum temperature of the entire PCB channel. SIMPLER algorithm is employed in the analysis, and the genetic algorithm is used for the optimization. The results show that the chip with a maximum volumetric heat generation rate has to be located at the bottom of the channel, and chips with relatively high heat generation rates should not be close to each other, and small chip should not be located between the large chips.
북미 강화NCAP 무릎상해 대응용 최적 니볼스터 구조 연구
백창인,최규상,정재윤,Paek, Chang In,Choi, Kyu Sang,Jung, Jae Yoon 한국자동차안전학회 2012 자동차안전학회지 Vol.4 No.1
The US-NCAP was rated by the head and chest injury, but the new US-NCAP requires various dummy injury parts such as head, neck, chest, and femur. So, new restraint systems are needed. Particularly, the knee bolster must meet both unbelted and belted test condition requirements. This paper analyzed the dummy response of both test condition and suggested a knee bolster F-D requirement as well as a new knee bolster structure.
백창인(Chang In Paek),김윤창(Yun Chang Kim),정갑성 한국자동차공학회 2014 한국자동차공학회 부문종합 학술대회 Vol.2014 No.5
National Highway Traffic Safety Administration (NHTSA) has developed a moving deformable barrier-to- barrier test procedure to reconstruct the vehicle and occupant response in narrow overlap crashes. The test procedure suggested the moving deformable barrier with THOR(Test Device Human Occupant Restraint). Six crash tests were performed in this research test to assess the vehicle structure and restraint system. We used the small sedan selling in U.S market for all tests. However, the structures of three vehicles were modified with adding some structures vehicle. Two crashes of four RMDB crashes were performed with THOR dummy and the others were done with Hybrid III dummy to check the kinematics of both dummies. Two tests were performed with IIHS small overlap test procedure except using THOR dummy.
백창인(Chang In Baek),태경응(Kyung Eung Tae),이경순(Kyung Soon Lee),이정재(Jurng Jae Yee) 대한설비공학회 2021 대한설비공학회 학술발표대회논문집 Vol.2021 No.6
Predicting indoor air quality in indoor spaces can alert residents to improve indoor air quality before the indoor air quality deteriorates, which can greatly help indoor residents comfort, health, safety and hygiene. We measured indoor air quality (CO2 concentration, PM2.5, temperature, humidity, TVOCs) in school classrooms and developed CO₂ and PM2.5 concentration prediction models using Recurrent Neural Networks (RNN) and validated their feasibility. To predict indoor air quality in the next 10 minutes, we investigated how much historical data is good to use. Studies have shown that models using LSTM recurrent neural networks have well predicted indoor air quality in classrooms, but have been burdened with time or memory spent on training models, and considering their practicality in the field, lighter prediction models are needed.