Chapter 32. Design for Manufacturing for Cellular Ceramic Substrates

  1. John B. Wachtman Jr.
  1. C. J. Malarkey and
  2. D. R. Treacy

Published Online: 28 MAR 2008

DOI: 10.1002/9780470314050.ch32

A Collection of Papers Presented at the 94th Annual Meeting and the 1992 Fall Meeting of the Materials & Equipment/Whitewares Manufacturing: Ceramic Engineering and Science Proceedings, Volume 14, Issue 1/2

A Collection of Papers Presented at the 94th Annual Meeting and the 1992 Fall Meeting of the Materials & Equipment/Whitewares Manufacturing: Ceramic Engineering and Science Proceedings, Volume 14, Issue 1/2

How to Cite

Malarkey, C. J. and Treacy, D. R. (1993) Design for Manufacturing for Cellular Ceramic Substrates, in A Collection of Papers Presented at the 94th Annual Meeting and the 1992 Fall Meeting of the Materials & Equipment/Whitewares Manufacturing: Ceramic Engineering and Science Proceedings, Volume 14, Issue 1/2 (ed J. B. Wachtman), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470314050.ch32

Author Information

  1. Corning Incorporated Corning, NY 14830

Publication History

  1. Published Online: 28 MAR 2008
  2. Published Print: 1 JAN 1993

ISBN Information

Print ISBN: 9780470375235

Online ISBN: 9780470314050

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Keywords:

  • product cycle time.;
  • expert system;
  • sussman;
  • material law model;
  • firing cycle models

Summary

A strategy is presented for development of a design-for-manufacturing (DFM) tool The DFM concept, whereby product and process design for ceramic substrates can be determined prior to making key manufacturing decisions, is presented with the goal of reducing product cycle time. A technological strategy composed of model building engineering verification of the model, and integration of a system of verified models is proposed. A simplified system of models could be composed of the following: fired properties as a Junction of raw materials, rheology of mixed wet batch, batch flow through extrusion hardware, strength of hardware, drying, firing cycle, and product strength. An expert system shell allows interaction among the models, resulting in an optimal design that can be manufactured.