Abstract
Magnesium alloy matrix quality is important for the quality of coating on the surface, and thus affecting the final performance of magnesium alloy. This paper developed a method to the abrasive belt grinding as a pre-treatment process for magnesium alloy. Based on the orthogonal test in the abrasive belt grinding of magnesium alloy, the effect of the processing parameters on grinding force and roughness has been studied. Finally, a predicting model of the grinding force and surface roughness was established by means of the neural networks. This model was verified from both the theoretical and experimental facets. The results showed that the model can be used to describe the influence of some machine tool inputs
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