| Autor: |
Maguire, John F., Miller, Michael A., Venkatesen, Sanjeev, LeClair, Steven R. |
| Zdroj: |
IFAC-PapersOnLine; November-December 1996, Vol. 29 Issue: 7 p259-262, 4p |
| Abstrakt: |
This paper describes the development of a rule-based artificial intelligence system for processing polymeric materials and components fabricated from advanced polymeric composites. The system integrates three key elements, namely, materials and process sensors, detailed chemical kinetic mathematical models of the physico-chemical aspects of material transformation, and an equipment control module. The equipment control module has been written using CLIPS (C-language Integrated Processing System) and, in addition to interpreting the sensor and model-based information, in real time it uses heuristic reasoning approaches to take into account high cost, low probability events which can occur in manufacturing. The system has been tested in manufacturing and has demonstrated up to fifty percent reductions in process time. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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