Chapter 34. Microstructural Anisotropy During Varying Forming Conditions

  1. Rajan Tandon,
  2. Andrew Wereszczak and
  3. Edgar Lara-Curzio
  1. Shawn M. Nycz and
  2. Richard A. Haber

Published Online: 27 MAR 2008

DOI: 10.1002/9780470291313.ch34

Mechanical Properties and Performance of Engineering Ceramics II: Ceramic Engineering and Science Proceedings, Volume 27, Issue 2

Mechanical Properties and Performance of Engineering Ceramics II: Ceramic Engineering and Science Proceedings, Volume 27, Issue 2

How to Cite

Nycz, S. M. and Haber, R. A. (2006) Microstructural Anisotropy During Varying Forming Conditions, in Mechanical Properties and Performance of Engineering Ceramics II: Ceramic Engineering and Science Proceedings, Volume 27, Issue 2 (eds R. Tandon, A. Wereszczak and E. Lara-Curzio), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470291313.ch34

Author Information

  1. Rutgers University Ceramic and Materials Engineering 98 Brett Rd. Piscataway, NJ 08854–8065

Publication History

  1. Published Online: 27 MAR 2008
  2. Published Print: 1 JAN 2006

ISBN Information

Print ISBN: 9780470080528

Online ISBN: 9780470291313

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Keywords:

  • microstructures;
  • shrinkage;
  • computational;
  • anisometric;
  • substantially

Summary

Many ceramic forming methods have been shown to cause a shear–induced preferred orientation of particles and crystals within green microstructures. This preferred orientation can result in the anisotropy of key properties of ceramic materials including toughness, electrical properties, and firing shrinkage and warpage. A study was performed that applied computational fluid dynamics simulations to predict the shear rate profiles which exist during tape casting non–Newtonian slurries at varying casting geometries and velocities. Aluminum oxide tapes were experimentally cast under the same conditions and the texture induced in the green and fired tapes was measured using an optical technique. The texture was found to correspond to regional and global shear intensity variations as predicted by the computational simulations.