Researchers

HASHIMOTO Tomohisa

HASHIMOTO Tomohisa
Lecturer
Faculty Department of Mechanical Engineering / Graduate School of Science and Engineering
Researchmap https://researchmap.jp/hasimoto

Research Activities

Research Areas

  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Fluid engineering

Published Papers

  1. Artificial compressibility method using bulk viscosity term for an unsteady incompressible flow simulation
    T. Yasuda; I. Tanno; T. Hashimoto; K. Morinishi; N. Satofuka
    Computers and Fluids  258  (105885)  Mar. 2023  , Refereed
  2. Optimized finite difference method with artificial dissipation for under-resolved unsteady incompressible flow computations using kinetically reduced local Navier-Stokes equations
    T. Hashimoto; I. Tanno; T. Yasuda; Y. Tanaka; K. Morinishi; N. Satofuka
    Computers and Fluids  184  , 21-28, Apr. 2019  , Refereed
  3. Multi-GPU parallel computation of unsteady incompressible flows using kinetically reduced local Navier–Stokes equations
    T. Hashimoto; T. Yasuda; I. Tanno; Y. Tanaka; K. Morinishi; N. Satofuka
    Computers and Fluids  167  , 215-220, 15, May. 2018  , Refereed

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Conference Activities & Talks

  1. Unsteady incompressible flow simulations by an optimized centered finite difference scheme on Multi-GPU , 橋本 知久; 安田 孝宏; 丹野 格; 田中 嘉宏; 森西 晃嗣; 里深 信行 , 並列計算流体力学国際会議 , 15, May. 2018
  2. 最適化高次精度中心差分近似法を適用した非圧縮性流れの数値計算 , 橋本 知久; 丹野 格; 安田 孝宏; 田中 嘉宏; 森西 晃嗣; 里深 信行 , 第31回数値流体力学シンポジウム , 12, Dec. 2017
  3. EDACによる物体まわりの流れ場の計算 , 丹野 格; 橋本 知久; 安田 孝宏; 田中 嘉宏; 森西 晃嗣; 里深 信行 , 第31回数値流体力学シンポジウム , 12, Dec. 2017

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MISC

  1. S1440106 Improvement of work efficiency using a dynamic scheduling system constructed in the plastic injection molding company , YAMAMOT Keiji; HASHIMOTO Tomohisa; KUNIMUNE Noriaki; TANIGAWA Yoshisada; HONMA Takeya; TAKAMI Satoshi , Mechanical Engineering Congress, Japan , 2015 , "S1440106 , 1"-"S1440106-3" , 13, Sep. 2015
    Summary:Currently, in the plastic injection molding industry, the manufacturing of a wide variety of products in small quantities increases. High quality of products is strongly needed, reducing the cost and being shorter delivery time. However, many small-to-medium sized companies have difficulties in investing the expansion of equipment, and making the production planning according to the order status in an appropriate manner due to suffering from the shortage of workers. In this research, we addressed the improvement of the work efficiency, and are constructing the production management system that is adequate to the production planning in the plastic injection molding company. The dynamic scheduling system is constituted by the combination of a production scheduler available with free and production management software packages, to solve the problem that initial introduction costs are too much, although maintenance costs are necessary. Our approach is considered to be a promising case of the improvement of the work efficiency in a small-to-medium sized company.
  2. G011052 Unsteady Heat Conduction Analysis for Arbitrary Geometry on Cartesian Grid , HASHIMOTO Tomohisa; TANNO Itaru; YASUDA Takahiro; TANAKA Yoshihiro; MORINISHI Koji; SATOFUKA Nobuyuki , Mechanical Engineering Congress, Japan , 2013 , "G011052 , 1"-"G011052-4" , 8, Sep. 2013
    Summary:CAE is an important tool for designing the mold in injection molding and has been used extensively. The filling, packing and cooling stages in injection molding, as well as the warpage after ejection can be simulated. The purpose of this study is to develop a numerical method for solving the incompressible Navier-Stokes equations and the heat conduction equation simultaneously on a Cartesian grid. For computing unsteady incompressible viscous flows, we confirmed that kinetically reduced local Navier-Stokes (KRLNS) equations is a promising method in terms of accuracy, efficiency and the capability to capture the correct transient behavior without sub-iterations. In this paper, the numerical simulations of unsteady heat conduction were carried out by using virtual flux method (VFM), which can treat arbitrary geometries on a Cartesian grid. The two types of boundary conditions were specified. The numerical solutions were compared with those obtained theoretically. The good agreement was obtained.
  3. GPU implementation of the lattice Boltzmann method and Virtual flux method , Itaru Tanno; Tomohisa Hashimoto; Takahiro Yasuda; Yoshihiro Tanaka; Koji Morinishi; Nobuyuki Satofuka; Nobuyuki Satofuka , ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers , 7244 , 7250 , 1, Dec. 2012
    Summary:Lattice Boltzmann method (LBM) which is suitable for General Purpose Graphic Processing Unit (GPGPU) and Virtual flux method (VFM) which is one of a Cartesian grid method are implemented on a GPU. Flow around a circular cylinder was simulated by the coupling of LBM and VFM. Lengths of twin vortex behind the cylinder are compared. Present results are agreed with other researchers result. GPU acceleration of LBM and VFM is also examined. Present result evidently shows that a computational time of LBM and VFM on GPU was 17 times faster than that on one core of a CPU.

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