Abstract In order to study the tribological properties of PTFE modified by hard nanoparticles and soft polymer under dry friction conditions, the tribological properties of polytetrafluoroethylene (PTFE) filled with different volume contents of polyether ether ketone (PEEK) and nano-ZrO2 were investigated at a linear speed of 2 m/s, normal load of 200 N, and ambient temperature conditions for 60 min using a block-on-ring wear tester. A multiple-layer feedforward artificial neutral network (ANN) was used to simulate and analyze the friction coefficient and volume wear rate. The results showed that the friction coefficient and volume wear rate of PTFE composites were effectively reduced when nano-ZrO2 and PEEK were filled separately or simultaneously. The best tribological properties were obtained when the composites were filled with 5–8 vol% nano-ZrO2 and 20 vol% PEEK simultaneously; the volume wear rate was only 1.29 × 10−6 mm3/Nm and the friction coefficient was only 0.15. An ANN can accurately simulate and predict the friction coefficient and volume wear rate of composites, and the predicted results were consistent with the experimental results. A groove appeared in the volume wear rate simulation diagram when the volume content of nano-ZrO2 was about 7% with or without PEEK. This phenomenon indicates that the composites in this region had a lower volume wear rate. Therefore, the addition of nano-ZrO2 and PEEK can effectively improve the tribological properties of PTFE. As a simulation analysis method, an ANN can accurately analyze and predict the tribological properties of composites.

中文翻译：

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填充聚醚醚酮和纳米氧化锆的聚四氟乙烯复合材料的摩擦学行为

摘要 为研究硬质纳米颗粒和软质聚合物改性的 PTFE 在干摩擦条件下的摩擦学性能，研究了填充不同体积含量的聚醚醚酮 (PEEK) 和纳米 ZrO2 的聚四氟乙烯 (PTFE) 的摩擦学性能。线速度为 2 m/s，正常负载为 200 N，使用块对环磨损测试仪在环境温度条件下运行 60 分钟。多层前馈人工中性网络（ANN）用于模拟和分析摩擦系数和体积磨损率。结果表明，分别或同时填充纳米ZrO2和PEEK可有效降低PTFE复合材料的摩擦系数和体积磨损率。当复合材料同时填充 5-8 vol% nano-ZrO2 和 20 vol% PEEK 时，摩擦学性能最好；体积磨损率仅为 1.29 × 10−6 mm3/Nm，摩擦系数仅为 0.15。人工神经网络可以准确地模拟和预测复合材料的摩擦系数和体积磨损率，预测结果与实验结果一致。当nano-ZrO2的体积含量为7%左右时，无论有无PEEK，体积磨损率模拟图中出现凹槽。这种现象表明该区域的复合材料具有较低的体积磨损率。因此，纳米ZrO2和PEEK的加入可以有效提高PTFE的摩擦学性能。作为一种模拟分析方法，人工神经网络可以准确地分析和预测复合材料的摩擦学特性。