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Wear Prediction of Ceramics

Published

Author(s)

Stephen M. Hsu, M C. Shen

Abstract

Advanced ceramics are increasingly being used for wear applications. The strength and fatigue resistance of ceramics have increased several fold in the last decade. Wear prediction of ceramics has become an important subject in these arenas. Ceramic wear, however, is a complex function of microstructure, grain size and shape, grain boundary toughness, and the operating conditions such as load and speed. To visualize such complex dependence, a three dimensional wear map can be used to ullustrate various regimes and transiton zones. Wear modeling, therefore, needs to start for a specific material under a specific condition in terms of the amount of wear, the location of the wear transitions, and account for different amount of wear in various regimes.This paper reviews the fundamental nature of ceramic wear. Various wear models developed over the years to predict wear under specific wear mechanisms are examined. The ability of each model to address specific mechanism and to predict wear is systematically evaluated. Wear transition prediction models and how they can be used are discussed. Then we address the same issues for a group of ceramic materials using a normalization procedure. Finally, we address the issue across a range of materials and operating condition using a concept of contact severity and material property normalization to achieve a predictive capability of ± one order of magnitude over the range of materials and operating conditions.
Citation
Wear
Volume
256
Issue
No 9-10

Keywords

alumina, ceramics, modeling, silicon carbide, silicon nitride, wear map, wear mechanism, wear transition, zirconia

Citation

Hsu, S. and Shen, M. (2004), Wear Prediction of Ceramics, Wear (Accessed April 12, 2024)
Created May 1, 2004, Updated February 19, 2017