Chapter 53. Prediction of Sialon Diesel Valve Failure Probability Using Allied Signal's Ceramic and Erica Life Prediction Codes

  1. J. P. Singh
  1. A. A. Wereszczak,
  2. T. P. Kirkland,
  3. M. K. Ferber and
  4. M. J. Andrews

Published Online: 26 MAR 2008

DOI: 10.1002/9780470294437.ch53

Proceedings of the 21st Annual Conference on Composites, Advanced Ceramics, Materials, and Structures: A: Ceramic Engineering and Science Proceedings, Volume 18, Issue 3

Proceedings of the 21st Annual Conference on Composites, Advanced Ceramics, Materials, and Structures: A: Ceramic Engineering and Science Proceedings, Volume 18, Issue 3

How to Cite

Wereszczak, A. A., Kirkland, T. P., Ferber, M. K. and Andrews, M. J. (1997) Prediction of Sialon Diesel Valve Failure Probability Using Allied Signal's Ceramic and Erica Life Prediction Codes, in Proceedings of the 21st Annual Conference on Composites, Advanced Ceramics, Materials, and Structures: A: Ceramic Engineering and Science Proceedings, Volume 18, Issue 3 (ed J. P. Singh), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470294437.ch53

Author Information

  1. High Temperature Materials Laboratory Oak Ridge National Laboratory Oak Ridge, TN 37831–6069

Publication History

  1. Published Online: 26 MAR 2008
  2. Published Print: 1 JAN 1997

ISBN Information

Print ISBN: 9780470375495

Online ISBN: 9780470294437

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Keywords:

  • fast-fracture failure;
  • room temperature;
  • tensile strengths;
  • finite element analysis;
  • failure probability

Summary

The prediction of room temperature fast-fracture failure probability of SiAlON valves, with 95% confidence estimates of those predictions, were made through the combination of censored flexure and tensile strengths of a SiAlON ceramic, their Weibull analyses, and finite element analysis of a prototype diesel exhaust valve, in Allied Signal's CERAMIC and ERICA life prediction codes. The life prediction algorithm used, the finite element analysis, the dependence of specimen grinding parameters and specimen geometries (and their strengths), and “data pooling” on the resulting predictions of failure probability are discussed. Within 95% confidence, the failure probability predictions correlated quite well with experimental fast-fracture strengths of SiAlON valves for all independent parameters examined.