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대면적 유체 코팅을 위한 기계학습 기반의 블레이드 코팅 조건 최적화
송륜근(Ryungeun Song),어솔(Sole Eo),이진기(Jinkee Lee) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Large-scale liquid coating is an important technique in various industrial fields such as the fabricating of functional panels or surfaces. Blade coating with continuous liquid supply is one of the most cost-effective methods for large-scale coating. In order to coat liquid without defects, it is essential to stably maintain the coating bead trapped under the blade, but numerous experiments are required to obtain coating conditions that guide the appropriate operating parameters. To relieve the burden on this laborious work, we present a novel strategy to acquire coating conditions via physics-informed neural networks (PINNs). Whereas standard neural networks (NNs) predict the coating performance directly from the operating parameters, the PINNs predict parameters related to the state of the coating bead to enhance the coating performance. When the data collected from the experiments under the various parameters were trained on both networks, it was revealed that the PINNs predict with a superior performance than the purely data-driven NNs. Finally, a parametric study was performed with a well-trained PINN-based model to present the optimal coating conditional zones, and we experimentally demonstrated that the stable coating was achieved by using the operating parameters from the found optimal coating conditional zones.
동정맥루 혈관 모사 및 μ-PIV 기법을 이용한 유동장 및 전단응력 분석
송륜근(Ryungeun Song),이준권(Jungwon Lee),문영광(Yeonggwang Mun),박성민(Seongmin Park),최홍석(Hongseok Choi),이진기(Jinkee Lee) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
Radio-cephalic arteriovenous fistula (AVF) is the operation for achieving vascular access for hemodialysis. Even though it is very reliable and well known method, it still has a high rates of early failure depending on the vessel condition. The hemodynamic shear stress contributes these failures; the pathophysiology of vascular access failure due to thrombosis secondary to stenosis formation as well as vascular access reocclusion after percutaneous interventions. To understand this mechanism and predict the AVF failure, we fabricated in-vitro three dimensional radio-cephalic arteriovenous fistula via Poly(dimethylsiloxane) a.k.a. PDMS and 3D printing technology. The micro-particle image velocimetry (μ-PIV) considering the cardiac pulse cycle used to measure the velocity field within the artificial blood vessel and confirmed by the numerical simulation. The result showed that the in-vitro AVF model agrees well with the simulations. This research would give the future possibility to use to reduce the in-vivo AVF failure for various conditions for each patient.
μ-PIV기법을 이용한 동정맥루 모사혈관에서의 모사 혈액의 점도특성에 따른 혈류역학적 분석
송륜근(Ryungeun Song),이진기(Jinkee Lee) 한국가시화정보학회 2016 한국가시화정보학회지 Vol.14 No.1
Radio-cephalic arteriovenous fistula(RC-AVF) is the most recommended operation of achieving access for hemodialysis. However, it has high rates of early failure depending on the many haemodynamic conditions. To increase RC-AVF patency rate, many researches were performed by in-vitro experiment via artificial vessel and blood analogue fluid, and there were conflicting opinions about whether the non-Newtonian properties of blood have an influence on the flow in large arteries. To investigate the influence of viscoelasticity of blood within the RC-AVF, we fabricated three dimensional artificial RC-AVF and two kinds of blood analogue fluid. The velocity field of two fluids within the vessel were measured by micro-particle velocimetry(m-PIV) and compared with each other. The velocity profiles of both fluids for systolic phase were matched well while those for diastolic phase did not correspond. Therefore, it is desired to use non-newtonian fluid for in-vitro experiment of RC-AVF.