Wear Rate Predication for Steel Based on Regression Analysis

Abstract

The wear experimental project on contact pressure, sliding speed and surface hardness was instituted by the uniform design method, the wear properties were investigated on a vertical universal friction/wear tester, the worn surfaces of specimens were observed by scanning electron microscope (SEM). The wear rate predication model was established by polynomial regression analysis, and the goodness of fit and the significance of influencing factors was verified. The results showed that the experimental efficiency was evidently increased, and the experimental cycle was shortened by the uniform design. It is found that the wear rate predication model established is reasonable and valid, and the impact of three factors on the wear rate is coupling effect. The main wear mechanism is abrasive wear and adhesive wear.