| Project/Area Number |
06452145
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| Research Category |
Grant-in-Aid for General Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Materials/Mechanics of materials
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| Research Institution | University of Tokyo |
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Principal Investigator |
YOSHIMURA Shinobu University of Tokyo, School of Engineering, Associate Professor, 大学院・工学系研究科, 助教授 (90201053)
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| Co-Investigator(Kenkyū-buntansha) |
OKUDA Hiroshi University of Tokyo, School of Engineering, Associate Professor, 大学院・工学系研究科, 助教授 (90224154)
YAGAWA Genki University of Tokyo, School of Engineering, Professor, 大学院・工学系研究科, 教授 (40011100)
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| Project Period (FY) |
1994 – 1995
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| Project Status |
Completed (Fiscal Year 1995)
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| Budget Amount *help |
¥7,200,000 (Direct Cost: ¥7,200,000)
Fiscal Year 1995: ¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 1994: ¥4,300,000 (Direct Cost: ¥4,300,000)
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| Keywords | Computational Mechanics / Intelligent Information Processing / Micromachines / Design / Genetic Algorithms / Neural Networks / Fuzzy Knowledge Processing / Mech Generation / CAE / デザインウインドウ / 複合現象 / 仮想現実感 / マイクロウォブルモータ / 自動解析 / 3次元 / マイクロウオブルモータ |
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| Research Abstract |
In this study, we developed an intelligent computational mechanics system for micromachines design.When conceptual image and structure of micromachine are proposed, its physical and mechanical behaviors such as deformantion, thermal conduction and electromagnetics are automatically evaluated using computational mechanics simulations, those results are interpreted, and finally multi-dimensional design window of satisfactory solutions are derived.In addition, an interface for the system is developed using internet and virtual reality technology.
In the first fiscal year, one of commercial solid modeler, an automated mesh generator using the fuzzy knowledge processing and computational geometry, and one of general-purpose finite element analysis sytem are integrated into a single CAE system.A module for design window search is implemented into the system.The system is successfully applied to a design of electrostatic micro wobble actuator.In the second fiscal year, a module for optimization based on genetic algorithms modified for real search space is developed, and implemeted into the system.The system is also successfully applied to a design of microaccelerometer based on a tunneling current concept.
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