【摘要】 Ni60是一种镍铬硼硅合金,具有良好的可塑性且硬度高、耐磨、耐蚀、耐热等综合性能;选用粒度为-125-325目且有较高硬度的钼Mo和钴Co及能显著提高涂层耐磨性的铬Cr作为添加合金粉;用均匀设计方法进行试验设计和等离子喷涂镍基钼、钴、铬400m涂层来提高齿轮轴20CrMoTi的摩擦学性能,涂层相比20CrMoTi显微硬度提高(2～4)倍,耐磨性提高(2～4)倍;采用SEM对涂层剖面及表面组织形貌和元素进行分析,涂层与基体结合良好且呈层状结构分布;将验证结果和神经网络预测值对比,显微硬度误差在20%之内,磨损误差在15%之内,可从人工神经网络的预测结果中选出具有优良性能的Ni60基Mo、Co、Cr合金涂层的配比范围。更多还原

【Abstract】 Nickel60 is a nicke-chromium-boron-silicon alloy that possess excellent comprehensive performance,such as the good plasticity,the high hardness,the wear resistance,the corrosion resistance,the heat resistance and other characteristics.Adding powders are the molybdenum and cobalt with higher hardness and the chromium that can improve the wear-resistant of the coatings,their are particle sizes of – one hundreds and five – thirty hundred twenty-five mesh. With the view of improving the tribological properties on gear,we use the uniform design method to design of experiments. On the twelve chromium manganese titanium that is material of gear,we prepared the Nickel60-based molybdenum,cobalt,and chromium alloy coatings which thickness is hundreds microns by plasma spraying. The micro-hardness and wear resistance of the coatings improve from two to four times compared to the material matrix. The tissue morphology and element energy spectrum analysis of coating’s surface and profile by using SEM. The coatings possess a good combination with the substrate and exhibit layer structure. The results of the validation group in comparison with the prediction value of the Artificial Neural Network,the micro-hardness error within 20 percentage and the wear resistance error within fifeet six percentage. In prediction value of the Artificial Neural Network,we may choose the mixture-ratio with excellent performances of molybdenum,cobalt,and chromium of nickel 60-based alloy for coatings.更多还原