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인공신경망을 통한 2D 용질성 마랑고니 유동 액적의 용질 농도 분포 역추적 기법
김준규(Junkyu Kim),류준일(Junil Ryu),김형수(Hyoungsoo Kim) 한국가시화정보학회 2021 한국가시화정보학회지 Vol.19 No.2
Vapor-driven solutal Marangoni flow is governed by the concentration distribution of solutes on a liquid-gas interface. Typically, the flow structure is investigated by particle image velocimetry (PIV). However, to develop a theoretical model or to explain the working mechanism, the concentration distribution of solutes at the interface should be known. However, it is difficult to achieve the concentration profile theoretically and experimentally. In this paper, to find the concentration distribution of solutes around 2D droplet, the reverse tracking method with an artificial neural network based on PIV data was performed. Using the method, the concentration distribution of solutes around a 2D droplet was estimated for actual flow data from PIV experiment.
자연 모사 납작 물고기 소프트로봇을 이용한 모래에 숨는 기술에 대한 연구
정송현(Songhyeon Chung),류준일(Junil Ryu),김형수(Hyoungsoo Kim) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11
We experimentally investigated burial motion mechanisms of a flat fish on a sand bed. Here, we assumed that the influence of the flexural rigidity could be the major parameter for the hiding. We developed a model that mimics the flapping motion of the flatfish when hiding in the sand. The surrounding flow was observed by using particle image velocimetry (PIV). The flapping model generated counterclockwise vortices, some of which aided particle transport and burial. The experimental results showed an inverse proportionality between flexural rigidity and physical elements of the flow. Lower flexural rigidity resulted in faster flow velocity and stronger vorticity.