Wear Characterization of Nitinol Wire
Many Wear prediction models have been proposed for surface contact. Earliest widely used empirical wear prediction model was proposed by Archard:
W = K * s * P
where W is the worn volume, s is the sliding distance, P is the applied load. K may be described as the coefficient of wear.
A more complex empirical wear equation was proposed by Bayer with the following form:
W = K * sm * Pn
Where the exponents m and n are fitted by use of the experimental data which provide more options for curve fitting to experimental data. A wear model based on Bayer’s approach is used in this study.
Reciprocating wear tests on Nitinol wires with AF temperature of 30oC were performed under varying normal load, cycles and stroke distance in saline with Nanovea tribometer. The wear depth/volume were measured for each test condition. An empirical wear depth prediction model is provided based on best fit of experimental data.