2018年12月14日
【Awards and Commendations】Hirotake Udono (D2) won “Best Student Poster Award” at The 2nd International Symposium on Computational Particle Technology (CPT2018).
【Awards and Commendations】Hirotake Udono (D2) won “Best Student Poster Award” at The 2nd International Symposium on Computational Particle Technology (CPT2018).
- Name
Hirotake Udono
- Faculty/Graduate School, Department (Stream / Program) / Major
Ph.D. candidate (2nd year), Department of Nuclear Engineering and Management, School of
Engineering
- Name of award and short explanation about the award
On December 7, 2018, Hirotake Udono, Ph.D. candidate at the Department of Nuclear Engineering and Management, won the Best Student Poster Award at The 2nd International Symposium on Computational Particle Technology (CPT2018). This symposium is held once every two years to offer researchers and students the opportunities to present results and ideas on a rich variety of topics about granular processing. The students who give an excellent poster presentation are entitled to the Best Student Poster Award.
- About awarded research
Due to high uncontrollability of a glass slurry within a glass melter, which is produced in vitrification process of high level radioactive waste, the glass melters in Japan have been under suspension. Rheological information on the slurry has thus been sorely needed for safety operation of the melter. Although existing experiments have reported that the glass slurries from melters exhibit shear thinning behaviour where the measured viscosity is increased with a rate of applied shear, the mechanism behind the shear thinning has been poorly understood. This study numerically demonstrated that the shear thinning can be increased due to a break-up of a shell-structured particulate aggregate and subsequent release of the fluid confined within the shell.
5.Your impression & future plan
Winning the award at the symposium was a great honour. I appreciate Mikio Sakai (Associate Professor) for his inspiring guidance and advice, the secretaries for their kind support, and all of my colleagues. I also thank Central Research Institute of Electric Power Industry (CRIESPI) for sharing useful information on their previous experiments.
