Surface Roughness Prediction Based on the Average Cutting Depth of Abrasive Grains in Belt Grinding

Abstract

Surface roughness is a widely used index for product quality evaluation. In this paper, a prediction model of the surface roughness in belt grinding is developed based on the average cutting depth of abrasive grains. Firstly, a calculation method of the maximum cutting depth of abrasive grains is presented based on our previous work. In this process, some simplifications are made to make the original calculations more convenient. Secondly, the average cutting depth of the abrasive grains was obtained based on the calculation method. Finally, by analysing the relationship between the roughness and the average cutting depth, and taking the static and dynamic effects of grinding process into account, a simple prediction model for surface roughness in belt grinding is presented. Experiments were carried out and the results indicate a good agreement between the predicted values and experimental values. The prediction model can be used as the theoretical foundation for the selection of abrasive grains and the process parameters to achieve a good surface roughness.