Takashi Arima

Establishing Hierarchical Hydrodynamic Model in the Realm of Non-Equilibrium Flows

Grant No.：JPMJPR23O1

Researcher : Takashi Arima

Outline

In flows with rapid spatio-temporal changes in physical variables and complex underlying processes, the traditional approach to fluid dynamics fails to provide an accurate description. This project aims to develop a fluid dynamic model that accounts for the hierarchical spatio-temporal scales, focusing on fluids incorporating polyatomic molecular effects, real gas effects, and multicomponent characteristics. This model is grounded in rational extended thermodynamics, enabling a more comprehensive understanding of non-equilibrium transport phenomena. This approach allows for precise predictions and control, paving the way for new advancements in fluid science.

Yuya Ohmichi

Data-Driven Modeling of Nonstationary Flow Phenomena

Grant No.：JPMJPR23O2

Researcher : Yuya Ohmichi

Outline

We propose a novel data analysis method capable of extracting spatiotemporal patterns of non-periodic and intermittent phenomena (nonstationary phenomena) occurring in complex flow fields, and demonstrate its effectiveness in addressing practical engineering problems. Furthermore, we investigate methods for understanding the interactions between various phenomena within the flow field. Through this research, we aim to shift fluid data analysis, which has traditionally focused on periodic or mean dynamics, towards data analysis capable of handling nonstationary dynamics.

Shinya Okino

New developments in the study of turbulence in a density stratified fluid generated by heat and chemical species

Grant No.：JPMJPR23O3

Researcher : Shinya Okino

Outline

I will investigate turbulence in a thermohaline stratified fluid through direct numerical simulations, dynamical systems theory, and laboratory experiments to comprehensively understand the interaction between turbulence and double-diffusive instability that occurs at small scales. Furthermore, the system will be extended to acid/base solutions with a chemical reaction (neutralization reaction) to elucidate the effects of the chemical reaction on turbulence. This research will contribute to the establishment of a new discipline involving thermo-fluid dynamics and chemistry.

Yukinori Kametani

Multi-DoF shape optimization of heat transfer surfaces in turbulent flows at high Reynolds number

Grant No.：JPMJPR23O4

Researcher : Yukinori Kametani

Outline

Developing high-performance heat exchangers are an important task for an effective utilization of energy. In this study aiming at the shape optimization of the heat transfer surfaces in high-Re rutbulent flows, an multi-degree-of freedom shape optimization algorithm is developed by combining RANS-based adjoint analysis and the large-eddy simulation (LES). The SGS model of LES are given by the machine learning with the data optained from the direct numerical simulations (DNS) of basic flows to improve an accuracy of the optimization. The algorithm is experimentally validated in the wind tunnel with the test matrix fabricated by the 3D printer.

Hiromitsu Takeuchi

Verification of quantum viscosity for understanding of complex quantum flow phenomena

Grant No.：JPMJPR23O5

Researcher : Hiromitsu Takeuchi

Outline

Certain materials with remarkable quantum effects do not solidify even at abusolute zero and undergo phase transition to the inviscid fluid state called superfluid at very low temperatures. Since flow states of the quantum fluids are easily described more than conventional fluids, it is attracting much attention as an effective model for the aspiration of fluid science, namely, theoretical description of turbulence. Although turbulence must be accompanied by dissipation, we have a difficulty in understanding its mechanism because of the inviscidness. This project challenge a construction of the turbulence theory from a different veiwpoint by resolving the difficulty with a new concept of quantum viscosity.

Tomohiro Tanogami

Information hydrodynamics — Universal bounds on the predictability and controllability of complex systems —

Grant No.：JPMJPR23O6

Researcher : Tomohiro Tanogami

Outline

With recent advances in information thermodynamics, it has become clear that the behavior and performance of various systems are universally bounded by information flow. By applying information thermodynamics to various hydrodynamic phenomena, such as turbulence, this research aims to establish a foundation for a new research area, “information hydrodynamics,” which provides a theoretical framework to elucidate the universal constraints on the predictability and controllability of complex flow phenomena.

Satori Tsuzuki

Exploratory Research for Practical Quantum Fluid Simulation Technology

Grant No.：JPMJPR23O7

Researcher : Satori Tsuzuki

Outline

Although the conventional two-fluid model can phenomenologically describe the dynamics of superfluid helium-4 for specific problems, it cannot reproduce other macroscopic quantum phenomena such as quantum lattices arising from interactions between microscopic particles. ​​In this regard, an improved two-fluid model with angular momentum conservation has attracted attention as a promising approach to overcome this problem. We further refine and validate the model to simulate various macroscopic quantum phenomena on a realistic scale, with the goal of establishing a practical simulation technique that can accurately reproduce the behavior of large-scale quantum fluids by capturing the macroscopic quantum phenomena.

Hideaki Teshima

New Science of Boundary Slip Using Ultra-Spatial Resolution Measurement and Interfacial Property Mapping

Grant No.：JPMJPR23O8

Researcher : Hideaki Teshima

Outline

To understand the slip phenomenon of fluids at the solid-liquid interface, it is essential to investigate both interfacial characteristics and slip length. In this study, by leveraging frequency-modulation atomic force microscopy, we enhance the spatial resolution of slip measurements from 10 micrometers to an order of 100 nanometers, a two-fold improvement. Based on this technology, we construct a new platform for simultaneous mapping of the slip and interface characteristics, elucidating the physics of the slip phenomenon at the nano- and atomic scale.

Yoshitsugu Naka

Prediction and control of turbulent flows by combining high-density wall measurements and data science

Grant No.：JPMJPR23O9

Researcher : Yoshitsugu Naka

Outline

This research will establish a new method for estimating the turbulent flow field from high-density measurement data of the pressure fluctuation field at the wall surface. The proposed method will be used to predict and control turbulent flows. The relationship between the wall pressure fluctuation and the turbulent flow field is elucidated, and data models for estimation of the wall-bounded turbulent flow field from the wall observation are constructed. A database of direct numerical simulations of turbulent flows will be used for data analyses. High-density microphone arrays for measuring the wall pressure fluctuation field and focused ultrasonic acoustic flow actuators for turbulent flow control will be developed. These techniques are applied to predict and control turbulent flows in real-world applications.

Hideya Nakamura

Temporal and Spatial Scaling of Powder flow and mixing

Grant No.：JPMJPR23OA

Researcher : Hideya Nakamura

Outline

This project focuses on the prediction of powder flow and mixing phenomena in large spatio-temporal scales. Based on the coarse-grained DEM model and the surrogate model, I will develop a computational technique that can handle the inherent heterogeneity of powders and predict microscopic mixing uniformity. This will lead to an innovative powder simulation methodology that capable of temporal and spatial scaling of the flow and mixing behavior for realistic powders.

Shinya Maeyama

Multi-scale and multi-fidelity modeling of magnetized plasma turbulence

Grant No.：JPMJPR23OB

Researcher : Shinya Maeyama

Outline

This project challenges two important issues on the multi-scale interaction phenomena in magnetized plasma turbulence: “Quantitative prediction of turbulent transport for the development of fusion DEMO reactor” and “Understanding and modeling of multi-scale interactions”. Each problem will be solved by utilizing two key approaches: “Multi-fidelity turbulent transport modeling” and “Statistical data analysis and generalized modeling based on the projection operator method”.

Shingo Motoki

A challenging study on the upper limit of convective heat transfer

Grant No.：JPMJPR23OC

Researcher : Shingo Motoki

Outline

This project aims to understand, predict, and control heat transfer through fluids, which is directly related to the effective use of energy, and to contribute to the realization of a sustainable society. In this study, I pursue to what extent convective heat transfer can be enhanced by introducing external forces such as magnetic force. Through this research, I will try to theoretically understand the complex flow and transport phenomena. Furthermore, I will numerically and experimentally demonstrate the flow control effects and aim to create innovative flow control technologies for heat transfer enhancement.