JK-FLOW Japan-Korea Fluid Mechanics Online Workshop

Speaker: Mr. Sungkun Chung (Ph.D. student, POSTECH) [GS]

Abstract: For advanced nuclear and thermal energy storage (TES) systems, medium-Prandtl-number fluids like molten salts and water are widely used as both heat storage and transfer fluids. In vertical tubes, mixed convection, a combination of forced and natural convection, arises from the interaction between bulk inertia and buoyancy induced by temperature gradients. Depending on the flow direction, this interaction causes non-linear behaviors, severely deteriorating or enhancing local heat transfer. Understanding these mechanisms is essential for reliable system design. To analyze these phenomena, continuous temperature profiles are experimentally measured using distributed optical fiber sensors (OFS) under various flow conditions. While inertia-dominant cases exhibit heat transfer similar to forced convection, significant heat transfer variations caused by buoyancy-induced flow distortion are observed in mixed regimes. Based on these findings, we propose mixed convection regime maps and a heat transfer model with force balance. We demonstrate their applicability in predicting non-linear thermal-hydraulics, ultimately improving the design and control accuracy of advanced systems.

Speaker: Ms. Nami Ha (Ph.D. student, Georgia Institute of Technology) [GS]

Abstract: Fluid ejection is a tricky problem in biological systems, especially for tiny insects. Herein, we reveal the physical mechanisms of phloem sap-feeding insects, spotted lanternflies (SLF, Lycorma delicatula), to understand how they efficiently eject fluid droplets under strong capillary constraints. By combining high-speed imaging, micro-CT imaging, kinematic analyses, and fluid property measurements, we uncovered how biological morphology and rapid actuation enable honeydew droplet detachment in the SLF, revealing a developmental mechanism switch from a capillary ratchet in nymphs to an elastic catapult in adults. Further, we simulated reduced-order mathematical models to capture the underlying physics of these distinct ejection strategies and integrates these models into a scaling framework using dimensionless parameters across organisms. Finally, we mapped the actuator and droplet response phase spaces to establish the theoretical kinematic limits of these ultrafast rotational movements and analyze divergent post-launch spinning droplet dynamics. Together, this work would fill critical gaps in our understanding of fluid-ejecting biological systems and provide general design principles for novel bioinspired fluid transport and antifouling devices.

Speaker: Mr. Taegeun Kim (Ph.D. student, POSTECH)

Abstract: Knudsen diffusion plays a central role in molecular transport through confined structures, where the mean free path of gas molecules becomes comparable to or larger than the characteristic length. Such transport is especially important in reactive systems including atomic layer deposition, nanoporous catalysis, and gas–surface reactions on microscale roughness, where diffusion and surface reaction jointly determine species distribution and reaction rate. Conventionally, Knudsen diffusion has been modeled using Fick’s law with a Knudsen diffusion coefficient at high Knudsen numbers or the Bosanquet relation at moderate Knudsen numbers. However, this local-gradient-based description neglects rarefaction effects that become dominant in the free-molecular regime. In this study, we show that Knudsen diffusion with surface reaction can exhibit Anti- Fick’s behavior. A kinetic-theory-based analytical model is developed for a confined trench flow with surface reaction and validated against DSMC simulations over various aspect ratios. The results reveal an Anti-Fick’s phenomenon, where the diffusive flux and mole fraction gradient have the same sign near the end-wall region. Using the analytical solution, we decompose the molecular contributions from the inlet, side walls, and end wall, and demonstrate that the Anti-Fick’s phenomenon originates from geometry-driven effect. These findings explain why a Fickian closure fails in Knudsen diffusion with surface reaction and show that Anti-Fick’s behavior is a key rarefaction effect that can alter species distribution and surface reaction rates in confined reactive flows.

Speaker: Mr. Tomoya Oura (Ph.D. student, Keio University)

Abstract: The aim of this work is to improve particle tracking simulations in filtered turbulent flow fields. Numerical simulations of fluid flow are essential for analyzing various phenomena, such as the transport of small particles. In engineering applications, a large eddy simulation is widely employed using filtered fields to reduce computational costs. However, particle tracking simulations in filtered fields often deteriorate the accuracy of particle motion. To address this issue, this study introduces a defiltering method based on machine-learning techniques to recover filtered velocities. The defiltering model is trained in a minimal turbulent channel flow and evaluated in a larger test domain, demonstrating excellent improvements in several particle statistics. Furthermore, the model successfully reconstructs statistics in curved turbulent channels even though it is trained in a minimal plane channel. However, the results also suggest that careful attention should be paid to the similarity of the model input for robust estimation. This talk highlights the remarkable performance, robustness, and limitations of the proposed defiltering method.