Prediction and Verification of Wear Resistance of In-situ Inorganic Compounds Reinforced Zinc Matrix Composites

Abstract

The wear resistance of zinc matrix composites reinforced by inorganic compounds in situ and the prediction of wear resistance by neural network were studied. The inorganic compound is Mg2Sn phase. The results show that Mg2Sn phase is a strengthening phase, and its uniform distribution in the matrix can improve the hardness and wear resistance of zinc matrix composites. When the amount of tin and magnesium respectively reach 10%, the wear resistance value at load 80N is 4.0, while the wear resistance value at 40N is 4.5. The influence of Mg and Sn elements on the hardness and wear resistance of the zinc matrix composite was predicted by neural network, and the experimental results showed that when the content of Mg and Sn elements exceeded 10%, the hardness and wear resistance of the material would decrease, which was related to the aggregation of Mg2Sn and the cleavage of the matrix, which reduced the toughness of the material.