Kyushu University Academic Staff Educational and Research Activities Database
List of Papers
Shuji Hironaka Last modified dateļ¼š2023.06.11

Assistant Professor / Department of Chemical Engineering, Faculty of Engineering / Department of Chemical Engineering / Faculty of Engineering

1. Agung Tri Wijayanta, Shuji Hironaka, Motofumi Hanaki, Jun Fukai, Heat generation in a packed bed of zeolite particles using moist air, International Journal of Refrigeration,, 2023.04.
2. Agung Tri Wijayanta, Seishi Ooga, Shuji Hironaka, Bing Xue, Jun Fukai, Waste heat for regeneration of a packed bed of zeolite particles, International Journal of Heat and Mass Transfer,, 203, 123798, 2023.04.
3. Contribution of Combustion Air Preheating to Operation of an Industrial Waste Treatment Plant.
4. Shuji Hironaka, Saki Manabe, Yuki Fujisawa, Gen Inoue, Yosuke Matsukuma, Masaki Minemoto, The direct numerical simulation of the rising gas bubble with the volume of fluid (VOF) method, ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011 Fluids and Thermal Systems; Advances for Process Industries, 10.1115/imece2011-63377, 845-854, 2011, A gas-liquid two phase flow is complicated and it has not been understood well thus far, in spite of extensive investigation. Numerical simulation is a potential approach to understand this phenomenon. Although a number of studies have been conducted to understand the behavior of bubbles on the basis of computational fluid dynamics (CFD), it is difficult to completely simulate a complicated three-phase flow, including coalescence and breakup of bubbles. Although the two-fluid model based on the semi-empirical model can well estimate the actual behavior of the system in which the equations are derived, the estimation over the applicable region of equations does not always agree with the actual result. Since the 1960s, various procedures have been proposed to directly track the free surface between two phases, for example, the adaptive mesh method and the particle method. Although each of these methods has certain advantages and disadvantages, the volume of fluid (VOF) method is the most acceptable method for capturing the free surface accurately and clearly. However, a concern related to this method is the maintenance of a constant volume of the fluid. In this study, a simulation code using the VOF method is developed in order to estimate the behavior of bubbles in a vertical pipe. Further, an offset of the volume fraction is introduced to stably calculate and minimize the volume fluctuation. The effect of the surface tension is also built into the program in order to estimate the behavior of the bubbles rising through the liquid medium. The simulations of the collapsed water column and a single rising bubble are conducted with the proposed simulation code. Consequently, we confirm that these results fairly agree with the experimental ones..
5. Gu Kim, Jun Fukai, Shuji Hironaka, Numerical study of various shape aggregations of carbon black in suspension with shear flow, Polymer (Korea), 10.7317/pk.2019.43.5.741, 43, 5, 741-749, 2019.09, Aggregates of carbon black with various shapes in a suspension were investigated to understand their behavior in fluid flow. At a lower aspect ratio, the particles exhibited tumbling or rotational motion, and the fluid flow was deflected in regions where the density of particles was higher. The contact between the particles promoted partial particle grouping when the aspect ratios of the particles were low. The average transitional motion of the particles was greatest at the lowest aspect ratio case. This led to weaker rearrangement event than those when the particles were nearly spherical. The elongated particles could act as bridges to promote the formation of particle groups. We believe that our study provides insight for suspensions containing particles with various shapes, which can be used to control the suspensions Theologically..
6. G. Kim, Jun Fukai and Shuji Hironaka, Rheological modeling of nanoparticles in a suspension with shear flow, Applied Chemistry for Engineering, 30, 4, 445-452, 2019.06.