Analyzing data obtained from fusion experiments is an extremely important means for understanding the basic physics of fusion plasma and realizing fusion reactors. Our group conducts joint research in collaboration with various research institutions such as the National Institute for Fusion Science and other universities, and conducts data analysis and considerations. In particular, we analyze experimental data for large experimental equipment such as LHD and JT-60SA.
There are many phenomena in the field of nuclear fusion that have not yet been elucidated. Our group is working on research to reproduce the complex phenomena observed in fusion plasma using computer simulations and to elucidate the mechanisms. In particular, we simulate plasma in helical and tokamak types such as LHD and JT-60SA.
For deep space exploration, electric propulsion using plasma is considered to be the most promising option, rather than so-called internal combustion engine chemical rockets. It is called a variable specific impulse plasma propulsion machine, and is a system that obtains high thrust by accelerating the generated plasma using a magnetic nozzle. Our laboratory uses MANATEE (MAgnetic Nozzle Acceleration Thruster with Electrode-less Experiments) to research this variable specific impulse plasma propulsion machine using plasma that utilizes microwaves.
We also own a small stellarator-type (=helical-type) device, HU-Heliac, and are conducting experiments. HU-Heliac is a 4-cycle heliac device, which is a three-dimensional magnetic axis stellarator type device. The plasma parameters are shown below.
Outer diameter of the device body | 2160mm |
Height of the device body | 1720mm |
plasma large radius | 480mm |
plasma small radius | 60mm |
electronic temperature | 100eV |
electronic density | 10^18 m^-3 |
magnetic field | 0.1T |
LHDプラズマの圧力と流線
Car batteries have the problem that their capacity drops to 70% 10 years after the car was new. In addition, batteries have a narrow optimum temperature range and require sophisticated temperature control, so the cooling system plays an extremely important role. Our group conducts experiments and analyzes mainly on multiphase flows of gas and liquid phases, with the aim of elucidating the flow and heat transfer conditions in battery cooling tubes.
Understanding how air and water flow together in different pipe shapes is crucial for various engineering fields, including industrial processes and nuclear reactors. We focus on the stratified gas-liquid flow regime, particularly relevant in industries such as petroleum and automotive sectors, where it offers benefits like phase separation and process control. Investigating these phenomena in complex geometries is essential, especially in scenarios like automotive engines, where cooling of exhaust gases can lead to liquid accumulation, posing risks to sensors. Through a combination of experimental and numerical approaches, we scrutinize air-water interfaces to validate models accurately. They delve into factors like velocity profiles and vortex formation, enhancing our comprehension of their interaction. Additionally, the study extends to pulsatile airflow conditions, providing insights into dynamic operational scenarios. Our research aims to improve our understanding of two-phase flow dynamics, with implications for diverse industrial and environmental applications.
This research aims to develop ultrasonic tomography for measuring the velocity field of gas-liquid two-phase flows. Gas-liquid two-phase flow is widely used in the industrial field, and capturing the flow of two-phase flow in fluids leads to the provision of high quality and safety products in the manufacturing of industrial products. Various methods have been developed for fluid measurement, but one of the advantages of fluid measurement using ultrasonic tomography is that it can be used in any medium.
Because of these advantages, we aim to develop fluid velocity field measurements using ultrasonic tomography.
We use image analysis techniques to analyze aurora phenomena. Auroras occur when charged particles carried by the solar wind collide with the Earth's magnetosphere. The purpose of this research is to use image analysis to clarify how the movement of the aurora occurs and develops. We are also conducting other joint research, including research on automatically detecting abnormal cells using image recognition methods using deep learning.
The figure below is an example of calculating the movement of the aurora using image analysis. The left image is before processing, the right image is after processing.