-
基于分子动力学方法建立了双层聚四氟乙烯(polytetrafluoroethylene, PTFE)摩擦模型, 研究了不同速度下PTFE的摩擦过程. 通过分析不同速度下接触区内下层PTFE分子键长、键角、分子形状的变化及接触过程中摩擦力和正压力的变化, 从微观角度研究了速度对PTFE摩擦系数的影响. 研究结果表明: 随着速度的增加, 接触区内PTFE粒子间的键长变短, 键角变小, 分子链沿x方向的变形量增加. 变形后的PTFE分子产生的回弹力导致上、下层PTFE分子间相互作用力增加, 从而增加了摩擦力. 当速度进一步增大时, 接触区内下层PTFE粒子间的键长和键角多处于平衡位置, 分子链沿x方向的变形量减小. 这很可能是由于接触区内下层PTFE分子沿速度方向倾斜, 使上、下层PTFE分子趋于平行滑动, 从而降低了摩擦力. 不同速度下正压力几乎保持不变. 因此, 当上层PTFE所受外载荷固定时, 摩擦系数随着速度的增加先增大后减小, 临界速度为1.2 m/s, 这与实验研究结果一致.
Velocity is an important factor affecting the friction coefficient of polymers. Polytetrafluoroethylene (PTFE), as a typical self-lubricating polymer, has attracted extensive attention because of its low friction coefficient. Currently, the friction coefficient of PTFE is investigated usually by using experimental method. The experimental study which is limited by the functionality and precision of the apparatus is inaccessible to the exploration of the microscopic tribological mechanism of PTFE. Therefore, the coarse-grained molecular dynamics simulation method is adopted in this study. In the coarse-grained model, one PTFE molecule is simplified into ten beads, including two end beads and eight backbone beads. The non-bonding and bonding interactions between beads are described by using Lennard-Jones (L-J) and multi-centered Gaussian-based potential. In order to investigate the effect of velocity on the friction coefficient of PTFE at an atomic level, we build a two-layer PTFE friction model by using the coarse-grained molecular dynamics simulation method. To directly compare the experimental results with the simulation results, we set the value of the externally applied load and the range of the velocities that match each other as closely as possible. The mechanism of how the velocity affects PTFE friction coefficient is obtained at an atomic level through analyzing the bond length distribution, bond angle distribution, the deformation of the bottom PTFE molecules within the contact area, and the friction force and normal force as a function of simulation time. The simulation results show that the bond length and bond angle decrease, the deformation of the bottom PTFE molecules along the x-direction and the friction force increase with velocity increasing. This is because the bounce back caused by the deformed PTFE molecules enhances the friction force. The severer the deformation, the larger the friction force will be. However, when the velocity exceeds a critical velocity, the bond length and bond angle increase, the deformation of the bottom PTFE molecule and the friction force decrease with velocity increasing. This is most likely due to the fact that the bottom PTFE molecules within the contact area tend to tilt along the moving direction of the upper PTFE layer, thereby reducing the angle between the upper and the bottom PTFE molecules to an angle close to the angle of parallel sliding, finally resulting in the decrease of the friction force. The deformations of PTFE molecules along the z-direction are nearly invariable under different velocities. This corresponds to the variation of the normal force. Therefore, for a constant externally applied load, the friction coefficient first increases then decreases with velocity increasing. In addition, the critical velocity is 1.2 m/s, which is in line with the published experimental result. -
Keywords:
- polytetrafluoroethylene /
- friction /
- velocity /
- molecular dynamics simulation
[1] Tian K, Goldsby D L, Carpick R W 2018 Phys. Rev. Lett. 120 186101
Google Scholar
[2] Dong Y, Duan Z, Tao Y, Wei Z, Gueye B, Zhang Y, Chen Y 2019 Tribol. Int. 136 259
Google Scholar
[3] 董赟, 段早琦, 陶毅, Gueye Birahima, 张艳, 陈云飞 2019 物理学报 68 016801
Google Scholar
Dong Y, Duan Z Q, Tao Y, Gueye B, Zhang Y, Chen Y F 2019 Acta Phys. Sin. 68 016801
Google Scholar
[4] Li Q, Dong Y, Perez D, Martini A, Carpick R W 2011 Phys. Rev. Lett. 106 126101
Google Scholar
[5] Sharma N, Kumar N, Dash S, Tyagi A K 2012 AIP Conf. Proc. 1447 651
[6] Sun F, Hou Y, Wang L, Huang L, Qian Z 2017 Int. J. Pave. Res. Tech. 10 343
Google Scholar
[7] Lin L, Pei X Q, Bennewitz R, Schlarb A K 2018 Tribol. Int. 122 108
Google Scholar
[8] Xiong X 2018 Ind. Lubr. Tribol. 70 273
Google Scholar
[9] Barry P R, Jang I, Perry S S, Sawyer W G, Sinnott S B, Phillpot S R 2007 J. Computer-Aided Mater. Des. 14 239
Google Scholar
[10] Yuan X D, Yang X J 2010 Wear 269 291
Google Scholar
[11] Harris K L, Pitenis A A, Sawyer W G, Krick B A, Blackman G S, Kasprzak D J, Junk C P 2015 Macromolecules 48 3739
Google Scholar
[12] 杨学宾, 晋欣桥, 杜志敏, 崔天生, 杨绍侃 2010 内燃机工程 31 105
Google Scholar
Yang X B, Jin X Q, Du Z M, Cui T S, Yang S K 2010 Chin. Int. Combu. Engine. Eng. 31 105
Google Scholar
[13] 郭丰镐 1981 机械工程材料 4 5
Guo F G 1981 Mater. Mech. Eng. 4 5
[14] 黄传辉 2008 徐州工程学院学报(自然科学版) 23 7
Google Scholar
Huang C H 2008 Xuzhou Inst. Technol. (Natural Sciences Edition)
23 7 Google Scholar
[15] 马姗, 马军, 杨光参 2016 物理学报 65 148701
Google Scholar
Ma S, Ma J, Yang G C 2016 Acta Phys. Sin. 65 148701
Google Scholar
[16] Ewen J P, Heyes D M, Dini D 2018 Friction 6 349
Google Scholar
[17] Dong Y, Li Q, Martini A 2013 J. Vac. Sci. Technol. A 31 030801
[18] Dong Y, Wang F, Zhu Z, He T 2019 AIP Adv. 9 045213
Google Scholar
[19] Barry P R, Chiu P Y, Perry S S, Sawyer W G, Sinnott S B, Phillpot S R 2015 Tribol. Lett. 58 50
Google Scholar
[20] Barry P R, Chiu P Y, Perry S S, Sawyer W G, Phillpot S R, Sinnott S B 2009 J. Phys.: Condens. Matter 21 144201
Google Scholar
[21] Chiu P Y, Barry P R, Perry S S, Sawyer W G, Phillpot S R, Sinnott S B 2011 Tribol. Lett. 42 193
Google Scholar
[22] 王曦, 黎明, 叶方富, 周昕 2017 物理学报 66 150201
Google Scholar
Wang X, Li M, Ye F F, Zhou X 2017 Acta Phys. Sin. 66 150201
Google Scholar
[23] Hagita K, Morita H, Doi M, Takano H 2016 Macromolecules 49 1972
Google Scholar
[24] Thota N, Luo Z, Hu Z, Jiang J 2013 J. Phys. Chem. B 117 9690
Google Scholar
[25] Zuo Z, Yang Y, Qi X, Su W, Yang X 2014 Wear 320 87
Google Scholar
[26] Milano G, Mü1ller P F 2005 J. Phys. Chem. B 109 18609
Google Scholar
[27] Milano G, Goudeau S, Mü1ller P F 2005 J. Polym. Sci. Pol. Phys. 43 871
Google Scholar
[28] Pan D, Liu C, Qi X, Yang Y, Hao X 2019 Tribol. Int. 133 32
Google Scholar
[29] Onodera T, Nunoshige J, Kawasaki K, Adachi K, Kurihara K, Kubo M 2017 J. Phys. Chem. C 121 14589
Google Scholar
[30] Plimpton S 1995 J. Comp. Physiol. 117 1
Google Scholar
[31] Jang I, Burris D L, Dickrell P L, Barry P R, Santos C, Perry S S, Phillpot S R, Sinnott S B, Sawyer W G 2007 J. Appl. Phys. 102 123509
Google Scholar
-
图 1 (a) 化学式; (b) 全原子模型; (c) 映射原理; (d) 粗粒化模型
Fig. 1. (a) Chemical structure; (b) all-atom model; (c) mapping scheme; (d) coarse-grained model.
图 3 PTFE-PTFE摩擦的粗粒化模型 (a)初始分布; (b)随机分布; (c)平衡态分布; (d)最终分布
Fig. 3. The coarse-grained PTFE-PTFE friction model: (a) Initial distribution; (b) random distribution; (c) equilibrium distribution; (d) final distribution.
图 4 (a) 摩擦力; (b)正压力; (c)摩擦系数随模拟时间的变化
Fig. 4. (a) Friction force; (b) normal force; (c) friction coefficient as a function of simulation time.
图 5 当外载荷为31 MPa时, 摩擦系数随速度的变化
Fig. 5. Effect of velocity on friction coefficient when the externally applied load is 31 MPa.
图 6 不同速度下接触区内下层PTFE的键长 (a)和键角分布 (b)
Fig. 6. (a) Bond length and (b) bond angle distributions of the bottom PTFE molecules within the contact area under different velocities.
图 7 接触区内下层PTFE分子沿(a) x方向及(b) z方向的回转半径分布
Fig. 7. Distributions of radius of gyration along (a) x and (b) z directions of the bottom PTFE molecules within the contact area.
图 8 (a) 摩擦力和(b) 正压力随模拟时间的变化
Fig. 8. (a) Friction force and (b) normal force as a function of simulation time.
Bond type nb i Abi wbi/Å lbci/Å B-B/B-E 2 1 0.3 0.15 2.7 2 0.03 0.2 2.5 
下载: 导出CSV
-
[1] Tian K, Goldsby D L, Carpick R W 2018 Phys. Rev. Lett. 120 186101
Google Scholar
[2] Dong Y, Duan Z, Tao Y, Wei Z, Gueye B, Zhang Y, Chen Y 2019 Tribol. Int. 136 259
Google Scholar
[3] 董赟, 段早琦, 陶毅, Gueye Birahima, 张艳, 陈云飞 2019 物理学报 68 016801
Google Scholar
Dong Y, Duan Z Q, Tao Y, Gueye B, Zhang Y, Chen Y F 2019 Acta Phys. Sin. 68 016801
Google Scholar
[4] Li Q, Dong Y, Perez D, Martini A, Carpick R W 2011 Phys. Rev. Lett. 106 126101
Google Scholar
[5] Sharma N, Kumar N, Dash S, Tyagi A K 2012 AIP Conf. Proc. 1447 651
[6] Sun F, Hou Y, Wang L, Huang L, Qian Z 2017 Int. J. Pave. Res. Tech. 10 343
Google Scholar
[7] Lin L, Pei X Q, Bennewitz R, Schlarb A K 2018 Tribol. Int. 122 108
Google Scholar
[8] Xiong X 2018 Ind. Lubr. Tribol. 70 273
Google Scholar
[9] Barry P R, Jang I, Perry S S, Sawyer W G, Sinnott S B, Phillpot S R 2007 J. Computer-Aided Mater. Des. 14 239
Google Scholar
[10] Yuan X D, Yang X J 2010 Wear 269 291
Google Scholar
[11] Harris K L, Pitenis A A, Sawyer W G, Krick B A, Blackman G S, Kasprzak D J, Junk C P 2015 Macromolecules 48 3739
Google Scholar
[12] 杨学宾, 晋欣桥, 杜志敏, 崔天生, 杨绍侃 2010 内燃机工程 31 105
Google Scholar
Yang X B, Jin X Q, Du Z M, Cui T S, Yang S K 2010 Chin. Int. Combu. Engine. Eng. 31 105
Google Scholar
[13] 郭丰镐 1981 机械工程材料 4 5
Guo F G 1981 Mater. Mech. Eng. 4 5
[14] 黄传辉 2008 徐州工程学院学报(自然科学版) 23 7
Google Scholar
Huang C H 2008 Xuzhou Inst. Technol. (Natural Sciences Edition)
23 7 Google Scholar
[15] 马姗, 马军, 杨光参 2016 物理学报 65 148701
Google Scholar
Ma S, Ma J, Yang G C 2016 Acta Phys. Sin. 65 148701
Google Scholar
[16] Ewen J P, Heyes D M, Dini D 2018 Friction 6 349
Google Scholar
[17] Dong Y, Li Q, Martini A 2013 J. Vac. Sci. Technol. A 31 030801
[18] Dong Y, Wang F, Zhu Z, He T 2019 AIP Adv. 9 045213
Google Scholar
[19] Barry P R, Chiu P Y, Perry S S, Sawyer W G, Sinnott S B, Phillpot S R 2015 Tribol. Lett. 58 50
Google Scholar
[20] Barry P R, Chiu P Y, Perry S S, Sawyer W G, Phillpot S R, Sinnott S B 2009 J. Phys.: Condens. Matter 21 144201
Google Scholar
[21] Chiu P Y, Barry P R, Perry S S, Sawyer W G, Phillpot S R, Sinnott S B 2011 Tribol. Lett. 42 193
Google Scholar
[22] 王曦, 黎明, 叶方富, 周昕 2017 物理学报 66 150201
Google Scholar
Wang X, Li M, Ye F F, Zhou X 2017 Acta Phys. Sin. 66 150201
Google Scholar
[23] Hagita K, Morita H, Doi M, Takano H 2016 Macromolecules 49 1972
Google Scholar
[24] Thota N, Luo Z, Hu Z, Jiang J 2013 J. Phys. Chem. B 117 9690
Google Scholar
[25] Zuo Z, Yang Y, Qi X, Su W, Yang X 2014 Wear 320 87
Google Scholar
[26] Milano G, Mü1ller P F 2005 J. Phys. Chem. B 109 18609
Google Scholar
[27] Milano G, Goudeau S, Mü1ller P F 2005 J. Polym. Sci. Pol. Phys. 43 871
Google Scholar
[28] Pan D, Liu C, Qi X, Yang Y, Hao X 2019 Tribol. Int. 133 32
Google Scholar
[29] Onodera T, Nunoshige J, Kawasaki K, Adachi K, Kurihara K, Kubo M 2017 J. Phys. Chem. C 121 14589
Google Scholar
[30] Plimpton S 1995 J. Comp. Physiol. 117 1
Google Scholar
[31] Jang I, Burris D L, Dickrell P L, Barry P R, Santos C, Perry S S, Phillpot S R, Sinnott S B, Sawyer W G 2007 J. Appl. Phys. 102 123509
Google Scholar
下载:
计量
- 文章访问数: 14750
- PDF下载量: 206
- 被引次数: 0
