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Huge Direct Numerical Simulation of Turbulent Combustion
Mamoru Tanahashi 한국전산유체공학회 2008 한국전산유체공학회 학술대회논문집 Vol.2008 No.-
Current state and perspective of DNS of turbulence and turbulent combustion are discussed with feature trend of the fastest supercomputer in the world. Based on the perspective of DNS of turbulent combustion, possibility of perfect simulations of IC engine is shown. In 2020, the perfect simulation will be realized with 30 billion grid points by IEXAFlops supercomputer, which requires 4 months CPU time. The CPU time will be reduced to about 4 days if several developments were achieved in the current fundamental researches. To shorten CPU time required for DNS of turbulent combustion, two numerical methods are introduced to full-explicit full-compressible DNS code. One is compact finite difference filter to reduce spatial resolution requirements and numerical oscillations in small scales, and another is well-known point-implicit scheme to avoid quite small time integration of the order of nanosecond for fully explicit DNS. Availability and accuracy of these numerical methods have been confirmed carefully for auto-ignition, planar laminar flame and turbulent premixed flames. To realize DNS of IC engine with realistic kinetic mechanism, several DNS of elemental combustion process in IC engines has been conducted.
MAMORU NAGANO 연세대학교 동서문제연구원 2011 Global economic review Vol.40 No.1
This paper investigates the factors that support a funding demand increase in regional economies under easing monetary conditions. The following results were empirically obtained on the basis of individual firms and the 47 regional data in the 2000s in Japan. The first result is that funding demand regionally increases where the relative size of private capital stock is large. This result suggests that industrial agglomeration complements easing monetary policy to induce regional funding demand. The second result is that regional banking soundness in lending markets also contributes to an increase in the funding demand. This suggests that another possible requirement of the money suppliers must be fulfilled to induce the regional funding demand.
Materials Development in α-Sialon Ceramics
Mamoru Mitomo,Rong-Jun Xie,Naoto Hirosaki 한국세라믹학회 2006 한국세라믹학회지 Vol.43 No.8
The solid solutions of α-Si3N4, i.e. α-sialons, are represented by a general formula of M x(Si,Al)12(O,N)16, in which metal ions (M)dissolve into interstitial sites to stabilize the structure. Processing methods for the fabrication of α/β-sialon composites, α-sialon/β-Si3N4 composites, refractory or tough α-sialon ceramics have been developed to tailor the mechanical properties. Translucent andphotoluminescent properties have been investigated recently. A number of applications of α-sialon ceramics as engineering andoptical ceramics are also presented.
Smart Solid State Syntheses of Well-Crystallized Phase Pure Mixed Oxides for Electroceramics
Mamoru Senna 한국세라믹학회 2006 한국세라믹학회지 Vol.43 No.11
An overview is given to optimize the solid state processes toward phase pure and well-crystallized fine particulates of mixedevation of the reactivity and preservation of stoichiometry of thestarting mixture are of universal importance . Mechanical activation is versatile for these purposes, particularly when an oxyge natom as a hinge promotes formation of hete ro-bridging bonds between diss imilar cationic species prior to calcination. Case stud -ies carried out recently in the auth ors laboratory are displayed and co mpared for ferroelectric materials, i.e. PbMg 1/3Nb 2/3O3xPbTiO3 (PMN-PT), (1-y)Pb(ZnxMg 1-x)1/3yNb 2/3O3 (PZN-PMN), BaBi2Ta2O9 (BBT), Ba(Mg1/3Ta2/3)O3 (BMT), and ferromagnetics, i.e. M-,Y-, and Z-phases of Ba-hexaferrites.
Fish-catching by Robot Using Prediction Neural Network
Mamoru Minami,Tongxiao Zhang 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper presents a method to predict a fish motion by Neural Network(N.N.) with on-line learning when a robot is pursuing fish-catching by a net at hand through hand-eye robot visual servoing. We have learned by previous experiments that fish is much smarter than a robot controlled by visual servoing whose escaping strategy is to make a steadytate distance error between thenetat robot’s hand and the fish. To over come the fish’s escaping strategy we propose prediction servoing utilizing estimated future fish position by on-line adjusting N.N.. The effectiveness have been proven through visual servoing and fish catching experiments.