1991 Fiscal Year Final Research Report Summary
Development of Optimum Mulling System for Particle Materials
| Project/Area Number |
03555148
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
金属加工(含鋳造)
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| Research Institution | Toyohashi University of Technology |
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Principal Investigator |
NOMURA Hiroyuki Toyohashi University of Technology, Professor, 工学部, 教授 (60023272)
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| Co-Investigator(Kenkyū-buntansha) |
TERASHIMA Kazuhiko Toyohashi University of Technology, Associate Professor, 工学部, 助教授 (60159043)
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| Project Period (FY) |
1991
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| Keywords | Ceramic particles / Particle mixing / Mulling process / Mixing control / Fuzzy reasoning / Neural network |
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| Research Abstract |
This paper is intended to establish the control method of performing optimum water injection in ceramics mulling process. In this paper, the synthetic mullite is used as ceramics materials.
In our laboratory, we have studied the characteristic analysis of ceramics mulling. The optimum mulling time and the optimum moisture content have been clarified. And the settling moisture content is possible to control by a neural network (NN) model. However, the reasonable estimated value of the settling moisture content, have not been obtained from the NN model built in the previous study.
In this paper, a modified the NN model is proposed to determine the quantity of water injection. Furthermore, in order to improve the computation time in the model building, the accuracy of the estimated value and generality of the control model, the NN-driven fuzzy reasoning system is applied to the ceramics mulling process.
The results are obtained as follows ;
1) NN-driven Fuzzy Reasoning system has more follow-up efficiency than the NN model. Further, it is shown that this system has high reasoning performance if the objective process is complex such as the single NN model can not express the behavior sufficiently.
2) From the control experiment, it is shown that NN-driven Fuzzy Reasoning system is effective for the control of water injection process.
The present study gives useful informations for mulling control in the practical plant.
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