MODELING THE CHROMIUM CARBIDE COATING WEAR TEST VARIABLES

Abstract

This work aims to numerically evaluate the average wear rate of the chromium carbide coating in the NiCr matrix sprayed via HVOF on steel, through multivariate regression. The modeling is performed through important input variables in the wear mechanism, the static load, speed and sliding distance. For this, a search was made on articles published in international magazines to form a database on this coating, with experimental data already carried out. With this, a forecast of the average wear rate of the coating is modeled according to these variables, generating a predictive equation. The modeling proved to be numerically strong to predict how much the coating will wear out. It can be seen that the static load is a determining variable in the prediction of the average wear rate, being a directly proportional quantity.