国立大学法人 東京農工大学/村田研究室
東京農工大学 村田研究室
English Page
国立大学法人 東京農工大学/村田研究室
HOME
メンバー紹介
研究紹介
卒論配属・進学予定の皆様へ
講義情報(村田)
お知らせ(Members only)
リンク集
交通アクセス
お問い合わせ先
国立大学法人
東京農工大学 大学院 工学府

機械システム工学専攻
熱流体システム設計分野
村田研究室

Tokyo University
of Agriculture and Technology
Thermal Fluids Engineering Lab.,
Dept. of Mechanical Systems Engineering
Murata Lab.

〒184-8588
東京都小金井市中町2-24-16
[MAIL]
webadmin
[AtMark]mmlab.mech.tuat.ac.jp
機械システム工学科
国立大学法人東京農工大学

Glossary


Turbulent Flow: When a flow velocity becomes high, the flow becomes unstable and fluctuating velocity component appears. This is called "Turbulence" or "Turbulent Flow". The turbulence enhances the diffusion and mixing of the fluid and consequently the transport of momentum, heat, and mass is enhanced. Heat transfer enhancement is beneficial, but at the same time the turbulence causes the higher pressure loss as a result of the enhanced momentum transfer which deteriorates overall heat transfer performance taking the pressure loss into account.

Large Eddy Simulation (LES): Turbulence models express the turbulent transport by adding an extra term to the governing equation of the averaged field. For example, in the Reynolds averaged turbulence model an ensemble average (in reality it is time-average) of the variables is used, and the additional term, the Reynolds stress, is introduced to the Reynolds averaged field. On the other hand, in LES only the sub-grid scale turbulence which cannot be expressed in the computation is modeled. In LES, the turbulence model is confined only to the sub-grid scale components, and the time- and space-wise fluctuating components are reproduced. This feature gives the LES higher applicability to the complicated turbulent fields.

Flow Visualization: Fluids like air and water are transparent, and therefore it is impossible to know which part of the fluid is flowing fast. In order to visualize the transparent fluid flow, markers are introduced into the flow: the markers can be dye, solid particles, bubbles, etc.

Particle Image Velocimetry(PIV)/Particle Tracking Velocimetry(PTV): In a flow-visualization image with tracer particles, a small area is selected, and the corresponding area to it in the next time-step image is searched by using the similarity of the tracer pattern between two areas as an index. By knowing the corresponding areas between consecutive two images, the velocity vectors can be calculated. There is another way to calculate the velocity vectors in which each particle's location is used instead of the tracer pattern and the corresponding tracer location in the next time-step image is searched.

Parallel Computing Technique: In the numerical analysis of the heat transfer phenomena, a system of linear algebraic equations has to be solved. When the space and time resolutions become high, the requirements for the computational speed and memory storage exceed the presently available computer ability. In order to deal with the huge computational load, the computational domain (or algorithm) is decomposed into N separate sub-domains, and each sub-domain's computation is performed on a separate CPU of a parallel computer system. The ideal computing time with N CPUs should be reduced by the factor of 1/N, but in reality the data transfer between the CPUs and the synchronization of the communication are additionally introduced in the program. As a result, the speedup ratio of the parallel computing is less than N.

Transient technique: A method to calculate heat transfer coefficient from measured surface temperature profile at a certain time. In the calculation, a theoretical solution of one-dimensional heat conduction problem in semi-infinite solid is used.

Classical Molecular Dynamics Simulation: All materials consist of molecules. In the molecular dynamics simulation, the Newton's equation of motion for each molecule is solved. "Classical" indicates that the inter-molecular potential function is empirical. Inter-molecular force is calculated by differentiating the inter-molecular potential function.

Quantum Molecular Dynamics Simulation (Ab Initio Molecular Dynamics Simulation): "Quantum" indicates that the inter-molecular potential function is not empirical but it is exactly solved by using quantum mechanics. The motion of the electron is expressed by the wave function following the Schrodinger equation. By solving the Schrodinger equation, physically exact inter-molecular potential is known. However, in reality, in the multi-electron state the empirical modeling is used to a certain extent as in the expression of the inter-electron interaction and the electron spin.

国立大学法人 東京農工大学/村田研究室
Homeメンバーリスト研究紹介卒論・進学予定者へ講義情報(村田)お知らせ(Members Only)リンク集交通アクセス
COPYRIGHT (C)TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY., ALL RIGHTS RESERVED.