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변성준(Sungjoon Byun),손호빈(Hobin Son),류익현(Ikhyun Ryu),이관수(Kwan-soo Lee) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
The modeling was performed to predict frost growth behavior under ultra-low temperatures and forced convection conditions and based on artificial neural network. A radial basis function (RBF) neural network was used for the machine learning algorithm, and R2 and RMSE values were used as evaluation indicators. The frost layer growth behavior was predicted within 6% of the maximum error when the predicted data of the model and the testing data were compared. A parametric study was performed using this model, and the influence of the frosting parameters on the frost layer growth was identified. A user-friendly program developed through a machine learning algorithm was presented, and through this, the behavior of frost growth under ultra-low temperatures and forced convection conditions can be predicted.
극저온 서리층 성장을 예측하는 전산 유체 역학 기반 해석 모델
변성준(Sungjoon Byun),손호빈(Hobin Son),이관수(Kwan-Soo Lee) 대한기계학회 2020 대한기계학회 춘추학술대회 Vol.2020 No.12
A model that can predict the growth behavior of frost layers under cryogenic conditions was developed based on computational fluid dynamics. In cryogenic conditions, a frost concentration phenomenon at the tip was observed which did not appear in general low-temperature conditions, and a new frost growth mechanism was analyzed numerically. The model was verified by comparing the thickness and density of the frost obtained through the numerical analysis with the experimental results. Frost growth was visualized by the numerical model to see the frost concentration phenomenon, and the surface of the frost layer was compared with the experimental results. The frost surface temperature was predicted through the numerical model, and it increased rapidly at the incipient of the frost experiment.
김정한(Junghan Kim),손호빈(Hobin Son),이관수(Kwan-Soo Lee) 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.12
This experimental study investigated the freezing delay characteristics of superhydrophobic and untreated surfaces according to the operating condition. Specifically, the temperature of water droplets on the surface was monitored while the surface was cooled down until the water droplets were frozen and recalescence occurred. The freezing delay time and cumulative distribution functions for the freezing delay were calculated with experimental results. The freezing delay characteristics were analyzed using the formation period of initial ice nuclei and the average propagation velocity of the ice nuclei. The formation time of initial ice nuclei was delayed on a superhydrophobic surface compared to the untreated surface. The average propagation velocity was slower on the superhydrophobic surface than that on the untreated surface.