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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
31

Combustion Simulation Using the Lattice Boltzmann Method

YAMAMOTO, Kazuhiro, HE, Xiaoyi, DOOLEN, Gary D. 05 1900 (has links)
No description available.
32

格子ボルツマン法による燃焼場の数値計算

山本, 和弘, YAMAMOTO, Kazuhiro 25 October 2002 (has links)
No description available.
33

格子ボルツマン法による転炉内二次燃焼の解析

古賀, 輝久, KOGA, Teruhisa, 山本, 和弘, YAMAMOTO, Kazuhiro, 岸本, 康夫, KISHIMOTO, Yasuo, 山下, 博史, YAMASHITA, Hiroshi 25 November 2006 (has links)
No description available.
34

ディーゼル微粒子の堆積とフィルタの再生課程の数値解析

佐竹, 真吾, SATAKE, Shingo, 山本, 和弘, YAMAMOTO, Kazuhiro, 山下, 博史, YAMASHITA, Hiroshi 25 September 2007 (has links)
No description available.
35

Boundary Conditions for Combustion Field and LB Simulation of Diesel Particulate Filter

Yamamoto, Kazuhiro 03 1900 (has links)
No description available.
36

Combustion simulation with Lattice Boltzmann method in a three-dimensional porous structure

Misawa, Masaki, Takada, Naoki, Yamamoto, Kazuhiro 01 1900 (has links)
No description available.
37

Microstructure and particle-laden flow in diesel particulate filter

Yamashita, Hiroshi, Satake, Shingo, Yamamoto, Kazuhiro 02 1900 (has links)
No description available.
38

Lattice Boltzmann simulation on continuously regenerating diesel filter

Shinozaki, Osamu, Furutani, Hirohide, Misawa, Masaki, Takada, Naoki, Yamauchi, Kazuki, Yamamoto, Kazuhiro 05 1900 (has links)
No description available.
39

メタルハニカム内のディーゼル微粒子燃焼シミュレーション

YAMAMOTO, Kazuhiro, 山本, 和弘 January 2008 (has links)
No description available.
40

Real-time Thermal Flow Predictions for Data Centers : Using the Lattice Boltzmann Method on Graphics Processing Units for Predicting Thermal Flow in Data Centers

Sjölund, Johannes January 2018 (has links)
The purpose of this master thesis is to investigate the usage of the Lattice Boltzmann Method (LBM) of Computational Fluid Dynamics (CFD) for real-time prediction of indoor air flows inside a data center module. Thermal prediction is useful in data centers for evaluating the placement of heat-generating equipment and air conditioning. To perform the simulation a program called RAFSINE was used, written by Nicholas Delbosc at the University of Leeds, which implemented LBM on Graphics Processing Units (GPUs) using NVIDIA CUDA. The program used the LBM model called Bhatnagar-Gross-Krook (BGK) on a 3D lattice and had the capability of executing thermal simulations in real-time or faster than real-time. This fast rate of execution means a future application for this simulation could be as a predictive input for automated air conditioning control systems, or for fast generation of training data sets for automatic fault detection systems using machine learning. In order to use the LBM CFD program even from hardware not equipped with NVIDIA GPUs it was deployed on a remote networked server accessed through Virtual Network Computing (VNC). Since RAFSINE featured interactive OpenGL based 3D visualization of thermal evolution, accessing it through VNC required use of the VirtualGL toolkit which allowed fast streaming of visualization data over the network. A simulation model was developed describing the geometry, temperatures and air flows of an experimental data center module at RISE SICS North in Luleå, Sweden, based on measurements and equipment specifications. It was then validated by comparing it with temperatures recorded from sensors mounted in the data center. The thermal prediction was found to be accurate on a room-level within ±1° C when measured as the average temperature of the air returning to the cooling units, with a maximum error of ±2° C on an individual basis. Accuracy at the front of the server racks varied depending on the height above the floor, with the lowest points having an average accuracy of ±1° C, while the middle and topmost points had an accuracy of ±2° C and ±4° C respectively. While the model had a higher error rate than the ±0.5° C accuracy of the experimental measurements, further improvements could allow it to be used as a testing ground for air conditioning control or automatic fault detection systems.

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