Chapter 40. Knowledge-Based Decision-Support Systems for Rapid and Efficient Production Planning in CMC Fabrication
- John B. Wachtman Jr.
Published Online: 28 MAR 2008
Copyright © 1994 The American Ceramic Society
Proceedings of the 18th Annual Conference on Composites and Advanced Ceramic Materials - B: Ceramic Engineering and Science Proceedings, Volume 15, Issue 5
How to Cite
Pitchumani, R. and Karbhari, V. M. (1994) Knowledge-Based Decision-Support Systems for Rapid and Efficient Production Planning in CMC Fabrication, in Proceedings of the 18th Annual Conference on Composites and Advanced Ceramic Materials - B: Ceramic Engineering and Science Proceedings, Volume 15, Issue 5 (ed J. B. Wachtman), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470314555.ch40
- Published Online: 28 MAR 2008
- Published Print: 1 JAN 1994
Print ISBN: 9780470375334
Online ISBN: 9780470314555
- fabrication of ceramic materials;
- ch-matrix composites;
- knowledge-based systems or expert systems;
- decision support systems
Fabrication of ceramic materials and ceramic-matrix composites draws upon the dual resources of heuristic knowledge as well as theoretical models in arriving at decisions pertaining to production tasks such as materials/process selection, process/tool design, tooling process selection, and process control. The ability to make informed decisions on each task efficiently, and concurrently with the decisions on the other influencing tasks, eliminates costly trial-and-error approaches and is the basis of shortening production cycle times. In this work, we present a knowledge-based decision support framework, employing principles from Artificial Intelligence and consisting of heuristic and model-based guidelines, as a tool for realizing rapid, efficient manufacturing. The framework is presently being implemented in a software system termed DSSPreform, to assist in the manufacture of preforms used in the infiltration-processing of ceramic- and metal-matrix composites. The architecture of the knowledge-based decision support system and its use in practical situations are described in this paper.