| Project/Area Number |
02402028
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| Research Category |
Grant-in-Aid for General Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
機械力学・制御工学
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| Research Institution | Kyoto University |
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Principal Investigator |
HITOMI Katsundo Kyoto University, Dapartment of Pracision Engineering, Professor, 工学部, 教授 (40016308)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHIMURA Masataka Kyoto University, Dapartment of Precision Engineering, Lecturer, 工学部, 講師 (60026325)
KUMAMOTO Hiromitsu Kyoto University, Dapartment of Precision Engineering, Associate Professor, 工学部, 助教授 (10109019)
MATSUHISA Hiroshi Kyoto University, Dapartment of Precision Engineering, Associate Professor, 工学部, 助教授 (00109034)
YAMASHINA Hajime Kyoto University, Dapartment of Precision Engineering, Professor, 工学部, 教授 (20026149)
SATO Susumu Kyoto University, Dapartment of Precision Engineering, Professor, 工学部, 教授 (90025875)
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| Project Period (FY) |
1990 – 1993
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| Project Status |
Completed (Fiscal Year 1993)
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| Budget Amount *help |
¥29,300,000 (Direct Cost: ¥29,300,000)
Fiscal Year 1993: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1992: ¥7,200,000 (Direct Cost: ¥7,200,000)
Fiscal Year 1991: ¥7,100,000 (Direct Cost: ¥7,100,000)
Fiscal Year 1990: ¥12,900,000 (Direct Cost: ¥12,900,000)
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| Keywords | Automated Manufacturing System / Control / CIM / Production Management / Vibration / Noise / Failure Diagnosis / Quality Design / 信頼性 / ニュ-ラルネットワ-ク / 生産システム工学 / 産業用ロボット / 作業環境 |
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| Research Abstract |
The aims of the research are to systematize control methodologies for automated manufacturing systems and to develop new control technologies. In order to control optimally the manufacturing system, a total system which controls not only "flow of materials" but also "flow of information" should be developed. CIM (Computer-Integrated Manufacturing) is one of the total systems. Thereby, the concept and its strategic meaning were clarified, and production management, vibration / noise control and production control were analyzed
The methods for production planning, layout planning, product design and process planning were analyzed for developing the CIM.The optimal production planning methods were clarified in order to tackle with fluctuations of product demand and machine failures. A GT layout planning method and an optimal design procedure for industrial robots were developed. Furthermore, optimal machining conditions were analyzed
Active control methods for reducing noise in factories were analyzed. A semiactive control method for duct noise was developed using a volume-variable resonator, an optimization analysis of an active noise control method was made, and an adaptive active attenuation of periodic low frequency noise of factories was discussed. Furthermore, optimal design methods for vibration control devices with passive gyroscopic dampers were clarified
Automated failure diagnosis systems for production facilities were analyzed. Automated measurement methods of drill wear and chipping were developed using image processing techniques, automated failure diagnosis of machine elements were analyzed by newral networks, and a recursive rulebase system was developed for generating fault tree. Furthermore, a quality design method with multi objective characteristics was clarified
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