Chapter 40. Knowledge-Based Decision-Support Systems for Rapid and Efficient Production Planning in CMC Fabrication

  1. John B. Wachtman Jr.
  1. R. Pitchumani and
  2. V. M. Karbhari

Published Online: 28 MAR 2008

DOI: 10.1002/9780470314555.ch40

Proceedings of the 18th Annual Conference on Composites and Advanced Ceramic Materials - B: Ceramic Engineering and Science Proceedings, Volume 15, Issue 5

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

Author Information

  1. Center for Composite Materials University of Delaware Newark, Delaware 19716–32144

Publication History

  1. Published Online: 28 MAR 2008
  2. Published Print: 1 JAN 1994

ISBN Information

Print ISBN: 9780470375334

Online ISBN: 9780470314555

SEARCH

Keywords:

  • fabrication of ceramic materials;
  • cerami;
  • ch-matrix composites;
  • knowledge-based systems or expert systems;
  • decision support systems

Summary

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.