Tribological Behavior of PTFE Composites Filled with PEEK and Nano-ZrO2 | |
Gao, Gui1,2; Gong, Jun2; Qi, Yuan2; Ren, Junfang1; Wang, Honggang1; Yang, Dongya2; Chen, Shengsheng1 | |
刊名 | Tribology Transactions |
2020-03-03 | |
卷号 | 63期号:2页码:296-304 |
关键词 | Ethers Feedforward neural networks Filled polymers Friction Ketones Polytetrafluoroethylenes Wear of materials Zirconia Artificial neutral network Friction coefficients Polyether ether ketones (PEEK) Polytetrafluoroethylene (PTFE) Simulation analysis methods Temperature conditions Tribological behaviors Tribological properties |
ISSN号 | 10402004 |
DOI | 10.1080/10402004.2019.1687796 |
英文摘要 | 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. © 2019, © 2019 Society of Tribologists and Lubrication Engineers. |
WOS研究方向 | Engineering |
语种 | 英语 |
出版者 | Bellwether Publishing, Ltd. |
WOS记录号 | WOS:000503310500001 |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/115221] |
专题 | 机电工程学院 |
作者单位 | 1.State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, China 2.School of Mechanical & Electronical Engineering, Lanzhou University of Technology, Lanzhou; Gansu, China; |
推荐引用方式 GB/T 7714 | Gao, Gui,Gong, Jun,Qi, Yuan,et al. Tribological Behavior of PTFE Composites Filled with PEEK and Nano-ZrO2[J]. Tribology Transactions,2020,63(2):296-304. |
APA | Gao, Gui.,Gong, Jun.,Qi, Yuan.,Ren, Junfang.,Wang, Honggang.,...&Chen, Shengsheng.(2020).Tribological Behavior of PTFE Composites Filled with PEEK and Nano-ZrO2.Tribology Transactions,63(2),296-304. |
MLA | Gao, Gui,et al."Tribological Behavior of PTFE Composites Filled with PEEK and Nano-ZrO2".Tribology Transactions 63.2(2020):296-304. |
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