1990 Fiscal Year Final Research Report Summary
Knowledge Based System Fusing Experimental Knowledge & Theoretical Model Methods for Cutting Operation
| Project/Area Number |
63550108
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
機械工作
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| Research Institution | Chuo University |
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Principal Investigator |
IHARA Tohru Chuo University, Precision Mechanical Eng, Associate Prof.,, 理工学部, 助教授 (80134831)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAKUDA Kazuo Tokyo Medical Dental Univ, Institute for Medical Dental Eng., Associate Prof.,, 医療機材研究所, 助教授 (70108223)
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| Project Period (FY) |
1988 – 1990
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| Keywords | Knowledge representation / Knowledge base for cutting / Fuzzy inference / Stability boundary / Chatter vibration / Frame system / Multistage inference |
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| Research Abstract |
It is important to establish a form of the knowledge representation system when we construct an intelligent manufacturing system. A knowledge representation system which compensates for errors of models by experiences has been developed, based on a combination of fuzzy inference and theoretical model methods like equations, simulation and so on. It has been applied in a case study to compensate and to predict for chatter vibration in an operation plan for turning.
First, it is described that a conception of the knowledge representation for compensating errors of models by experience and the system to predict for stability boundary of chatter vibration.
On cutting operation plan, it is also necessary to have the know ledge representation system which adopts effectively many models which are related mutually. It is described that the construction of the advanced system which has a hierarchical structure in which parameters of higer-level models are decided by lower-level models, so called the multistage inference. It has applied to predict vibration constants, and the limit of chatter vibration on both two and three dimensional cutting.
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