The University of Osaka · 공학
유키 요시타카 교수의 연구실은 주로 고온 유체 및 핵융합 냉각재의 열역학적 거동을 연구하는 데 초점을 맞추고 있습니다. 특히 리튬-铅 공용액(Pb-17Li)과 같은 고온 액체금속 냉각제의 유동 및 열전달 특성 분석을 위해 초음파 도플러 속도계(UDV)를 활용한 비접촉 측정 기술을 개발하고 있습니다. 또한, 나노입자 분산 유체(Nanofluid)를 이용한 열전도도 향상 연구를 통해 고성능 냉각 유체의 설계에 기여하고 있습니다. 연구는 핵융합 에너지 기술의 실현 가능성을 높이기 위한 기초 기술 개발에 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Nanoparticle dispersed fluids, nanofluids, have been widely investigated. However, thermal conductivity of molten salt-based nanofluid had never been measured and investigated yet. Since molten salts are high Prandtl number fluids, it is necessary to enhance heat transfer of the molten salts when they are employed as coolants. Therefore, in the present study we produced a molten salt-based nanofluid, and measured its thermal conductivity to demonstrate the molten salt-based nanofluid was able to
In a lead-lithium (Pb-17Li) liquid metal blanket concept, Pb-17Li eutectic alloy circulates both as breeder and coolant under a strong plasma-confining magnetic field, experiencing magneto-hydro-dynamic (MHD) force: Lorentz force. An important aspect of the bilateral US/Japan collaboration on Tritium, Irradiations, and Thermofluid for America and Nippon (TITAN) is to investigate tritium behavior and thermal control in the Pb-17Li eutectic alloy, flow and heat transfer characterizations, and miti
This paper describes a high-temperature ultrasonic Doppler Velocimetry (HT-UDV) technique that has been successfully applied to measure velocity profiles of the lead-lithium eutectic alloy (PbLi) flows. The impact of tracer particles is investigated to determine requirements for HT-UDV measurement of PbLi flows. The HT-UDV system is tested on a PbLi flow driven by a rotating-disk in an inert atmosphere. We find that a sufficient amount of particles contained in the molten PbLi are required to su
Appearance-based gender identification of the horsehair crab [Erimacrus isenbeckii (Brandt, 1848)] is important for preventing indiscriminate fishing of female crabs. Although their gender is easily identified by visual observation of their abdomen because of a difference in the forms of their sex organs, most of the crabs settle with their shell side upward when placed on a floor, making visual gender identification difficult. Our objective is to use deep learning to identify the gender of the
