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A model for predicting wear rates in tooth enamel

Journal of the Mechanical Behavior of Biomedical Materials, 2014
It is hypothesized that wear of enamel is sensitive to the presence of sharp particulates in oral fluids and masticated foods. To this end, a generic model for predicting wear rates in brittle materials is developed, with specific application to tooth enamel.
Oscar, Borrero-Lopez   +3 more
openaire   +2 more sources

The relationship between crack propagation rates and wear rates

Wear, 1977
Abstract In order to check qualitatively the validity of the analysis of crack propagation in delamination wear, wear experiments were performed with 7075-T6 and 2024-T3 aluminum alloys. The former alloy has a higher hardness (by 25%) and a faster crack propagation rate (3–10 times) in normal fatigue tests than the latter.
J.R. Fleming, N.P. Suh
openaire   +1 more source

Rating Traction and Wear - A Review

SAE Technical Paper Series, 1973
<div class="htmlview paragraph">The paper reviews existing methods of measuring tread wear and traction and discusses their applicability to tire grading if performed on an indoor facility with a simulated roadway. Indoor testing would assure accurate control of all performance parameters, rapid collection of data, and effective exploration of ...
openaire   +1 more source

Fatigue wear as a rate process

Wear, 1963
Abstract The present paper presents the main steps of the quantitative treatment of a wear process in conditions in which adhesion, ploughing, and chemical wear mechanisms have relatively unimportant contributions. In agreement with the concepts modifying Griffith's theory of brittle fracture when applied to metals, the fatigue wear prevailing in ...
openaire   +1 more source

Recent Progress on Wear-Resistant Materials: Designs, Properties, and Applications

Advanced Science, 2021
Kun Zhou, Guozheng Kang, Xueling Fan
exaly  

Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution

Mechanical Systems and Signal Processing, 2021
Pietro Borghesani   +2 more
exaly  

A review of vibration-based gear wear monitoring and prediction techniques

Mechanical Systems and Signal Processing, 2023
Qing Ni, Michael Beer, Ke Feng
exaly  

Superior high-temperature wear resistance of an Ir-Ta-Ni-Nb bulk metallic glass

Journal of Materials Science and Technology, 2023
Pengfei Wang, Jiang Ma
exaly  

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