Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-27T02:35:04.771Z Has data issue: false hasContentIssue false
  • English
  • Français

Sintering Behavior of an Isolated Pore: Monte Carlo Simulation

Published online by Cambridge University Press:  28 February 2011

Wan Y. Shih ,
Wei-Heng Slilli  and
Iliian A. Aksay
Wan Y. Shih
Affiliation:
Department of Materials Science and Engineering, and Washington Technology Center, University of Washington, Seattle, WA 98195
Wei-Heng Slilli
Affiliation:
Department of Materials Science and Engineering, and Washington Technology Center, University of Washington, Seattle, WA 98195
Iliian A. Aksay
Affiliation:
Department of Materials Science and Engineering, and Washington Technology Center, University of Washington, Seattle, WA 98195
Get access

Abstract

Microstructures play an important role in sintering. Hlowever, most existing sintering theories are macroscopic and do not consider the topological constraints in a microstructure. To fully take into account the microstructural effect, Anderson et al. [l] developed a Monte Carlo statistical mechanics model to study the grain growth behavior of a fully dense system. lHere we developed a generalized model which allows both densification and grain growth to occur. The densification occurs through the diffusion of matter and is incorporated in the Monte Carlo procedure. Thus we can monitor both the microstructural evolution and the densification at the same time during heat treatment. To our knowledge, this is the first statistical mechanics model constructed for sintering. As a quantitative example, the sintering behavior of an isolated pore of various sizes and shapes at different grain growth rates is studied.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 138: Symposium Q – Characterization of the Structure and Chemistry of Defects in Materials , 1988 , 125
Copyright
Copyright © Materials Research Society 1989

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Anderson, M. P., Srolovitz, D. J., Grest, G. S., and Sahni, P. S., Acta Metall. 32, 783 (1984).CrossRefGoogle Scholar
2. Schick, M. and Shih, W.-H., Phys. Rev. B 35, 5030 (1987).Google Scholar
3. Binder, K., ed., Application of the Monte Carlo Method hi Statistical Physics, Springer-Verlag, 1987.CrossRefGoogle Scholar
4. Zhao, J. and Hlarmer, M. P., .J. Amer. Ceram. Soc. 71, 530 (1988).Google Scholar
5. Herring, C., J. Appl. Phys. 21, 301 (1950).CrossRefGoogle Scholar