碳纤维铜基复合材料磨损率的定量预测

Wear Prediction for Carbon-Fiber-Reinforced Copper Matrix Composites

在环-块摩擦磨损试验机上进行碳/铜复合材料与45#钢对摩擦磨损率定量预测的试验研究.运用均匀设计方法选取具有“代表性”的试验点,运用数理统计与逐步回归分析方法处理磨损试验数据.以幂函数构成磨损预测数学模型的变量集合,通过反复统计检验,依次从集合中选入那些对磨损预测模型“贡献”大的变量,剔除“贡献”小的变量,建立了复合材料摩擦副的磨损率预测方程为ε=0.43+1.43v2+1.81p3v+1.66p2v2.经重复试验表明,预测方程计算值与试验数据基本一致.

A block-on-ring test was performed to evaluate quantitatively the wear rate of carbon-fiber-reinforced copper matrix composite sliding against AISI-1045 steel. The test parameters were arranged by uniform-design technique to make the experimental results reflect the full features of the wear and reduce test times. The mathematical statistics and stepwise regression theories were employed to analyze the experimental data. A variable-aggregation of the wear-prediction model, consisting of polynomial expressions, was the source of variable selection. The variables available for the prediction function were selected and the others were rejected by means of repetitive statistical tests. As a result, the optimum wear-prediction equation of the composite was developed, namely：s =0.43 ＋ 1.43v^2 ＋ 1.81p^3v ＋ 1.66p^2v^2. Through the repetitive experiments it was indicated that the experimental data almost coincided with the calculations of the prediction equation, which supplies reasonable base for designing wear-resistant composites.