The research on surface texture is developing from single macro-texture to composite micro-nano texture. The current research on the anti-friction mechanism and theoretical models of textures is relatively weak. Studying the characteristics of different types of surface textures and determining the applicable working conditions of each texture is the focus of current research. In this paper, a mathematical model of hydrodynamic lubrication is established based on Navier–Stokes equations. The FLUENT software is used to simulate and analyze the four texture models, explore the dynamic pressure lubrication characteristics of different texture types, and provide data support for texture optimization. The key variable values required by the mathematical model are obtained through the simulation data. The friction coefficient of the texture under different working conditions was measured through friction and wear experiments, and the mathematical model was verified by the experimental results. The research results show that circular texture is suitable for low to medium speed and high load conditions, chevron texture is suitable for medium to high speed and medium to high load conditions, groove texture is suitable for high speed and low load conditions, and composite texture is suitable for high speed and medium to high load conditions. Comparing the experimental results with the results obtained by the mathematical model, it is found that the two are basically the same in the ranking of the anti-friction performance of different textures, and there is an error of 10%?40% in the friction coefficient value. In this study, a mathematical model of hydrodynamic lubrication was proposed, and the solution method of the optimal surface texture model was determined.
The research on surface texture is developing from single macro-texture to composite micro-nano texture. The current research on the anti-friction mechanism and theoretical models of textures is relatively weak. Studying the characteristics of different types of surface textures and determining the applicable working conditions of each texture is the focus of current research. In this paper, a mathematical model of hydrodynamic lubrication is established based on Navier–Stokes equations. The FLUENT software is used to simulate and analyze the four texture models, explore the dynamic pressure lubrication characteristics of different texture types, and provide data support for texture optimization. The key variable values required by the mathematical model are obtained through the simulation data. The friction coefficient of the texture under different working conditions was measured through friction and wear experiments, and the mathematical model was verified by the experimental results. The research results show that circular texture is suitable for low to medium speed and high load conditions, chevron texture is suitable for medium to high speed and medium to high load conditions, groove texture is suitable for high speed and low load conditions, and composite texture is suitable for high speed and medium to high load conditions. Comparing the experimental results with the results obtained by the mathematical model, it is found that the two are basically the same in the ranking of the anti-friction performance of different textures, and there is an error of 10%?40% in the friction coefficient value. In this study, a mathematical model of hydrodynamic lubrication was proposed, and the solution method of the optimal surface texture model was determined.
[1] Y Q Xing, J X Deng, Z Wu, et al. High friction and low wear properties of laser–textured ceramic surface under dry friction. Optics and Laser Technology, 2017, 93: 24–32.
[2] T Ye, J W Ma, Z Y Jia. Influence of design parameters on the low temperature tribological performance of surface textured aluminium alloy. Journal of Physics: Conference Series, 2021, 1986(1): 012003.
[3] H Z Fan, Y F Su, J J Song, et al. Design of "double layer" texture to obtain superhydrophobic and high wear–resistant PTFE coatings on the surface of Al2O3/Ni layered ceramics. Tribology International, 2019, 136: 455–461.
[4] Z Zhang, W Z Lu, Y F He, et al. Research on optimal laser texture parameters about antifriction characteristics of cemented carbide surface. International Journal of Refractory Metals and Hard Materials, 2019, 82: 287–296.
[5] M Wakuda, Y Yamauchi, S Kanzaki, et al. Effect of surface texturing on friction reduction between ceramic and steel materials under lubricated sliding contact. Wear, 2003, 254(3–4): 356–363.
[6] I Křupka, M Vrbka, M Hartl. Effect of surface texturing on mixed lubricated nonconformal contacts. Tribology International, 2008, 41(11): 1063–1073.
[7] R Rahmani, I Mirzaee, A Sshirvani, et al. An analytical approach for analysis and optimization of slider bearings with infinite width. Tribology International, 2010, 43 (8): 1551–1565.
[8] A G Charitopoulos, E E Efstathiou, C I Papadopoulos, et al. Effects of manufacturing errors on tribological characteristics of 3D textured micro-thrust bearings. CIRP Journal of Manufacturing Science and Technology, 2013, 6(2): 128–142.
[9] P Andersson, J Koskinen, S Varjus, et al. Microlubrication effect by laser–textured steel surfaces. Wear, 2007, 262(3–4): 369–379.
[10] L J Yang, Y Ding, Bai Cheng, et al. Investigations on femtosecond laser modified micro–textured surface with anti–friction property on bearing steel GCr15. Applied Surface Science, 2018, 434: 831–842.
[11] J F Wang, W H Xue, S Y Gao, et al. Effect of groove surface texture on the fretting wear of Ti–6Al–4V alloy. Wear, 2021, 486–487: 204079.
[12] P Lu, R J K Wood, M G Gee, et al. A novel surface texture shape for directional friction control. Tribology Letters, 2018, 66(1): 1–13.
[13] A Codrignani, D Savio, L Pastewka, et al. Optimization of surface textures in hydrodynamic lubrication through the adjoint method. Tribology International, 2020, 148(C): 106352.
[14] Z R Tu, X K Meng, Y Ma, et al. Shape optimization of hydrodynamic textured surfaces for enhancing load–carrying capacity based on level set method. Tribology International, 2021, 162: 107136.
[15] W Wang, Y Y He, J Zhao, et al. Optimization of groove texture profile to improve hydrodynamic lubrication performance: Theory and experiments. Friction, 2020, 8(1): 83–94.
[16] Z H Shen, F C Wang, Z G Chen, et al. Numerical simulation of lubrication performance on chevron textured surface under hydrodynamic lubrication. Tribology International, 2021, 154(3): 106704.
[17] W L Liu, H J Ni, H L Chen, et al. Numerical simulation and experimental investigation on tribological performance of micro–dimples textured surface under hydrodynamic lubrication. International Journal of Mechanical Sciences, 2019, 163(C): 105095–105095.
[18] L Y Chen, R T Li, F W Xie, et al. Load–bearing capacity research in wet clutches with surface texture. Measurement, 2019, 142: 96–104.
[19] D Li, X F Yang, C Y Lu, et al. Tribological characteristics of a cemented carbide friction surface with chevron pattern micro-texture based on different texture density. Tribology International, 2020, 142(C): 106016.
[20] R T Tong, B Han, Z F Quan, et al. Molecular dynamics simulation of friction and heat properties of Nano–texture GOLD film in space environment. Surface and Coatings Technology, 2019, 358: 775–784.
[21] Z Y Li, W J Yang, Y P Wu, et al. Role of humidity in reducing the friction of graphene layers on textured surfaces. Applied Surface Science, 2017, 403: 362–370.
[22] X Q Hao, W Cui, L Li, et al. Cutting performance of textured polycrystalline diamond tools with composite lyophilic/lyophobic wettabilities. Journal of Materials Processing Technology, 2018, 260: 1–8.
[23] D S Xiong, Y K Qin, J L Li, et al. Tribological properties of PTFE/laser surface textured stainless steel under starved oil lubrication. Tribology International, 2015, 82: 305–310.
[24] S Wos, W Koszela, P Pawlus, et al. Determination of oil demand for textured surfaces under conformal contact conditions. Tribology International, 2016, 93: 602–613.
[25] G Ryk, I Etsion. Testing piston rings with partial laser surface texturing for friction reduction. Wear, 2006, 261: 792–796.
[26] K Tønder. Hydrodynamic effects of tailored inlet roughnesses: Extended theory. Tribology International, 2004, 37(2): 137–142.
[27] Y Kligerman, I Etsion. Analysis of the hydrodynamic effects in a surface textured circumferential gas seal. Tribology Transactions, 2001, 44 (3): 472–478.
[28] A Y Suh, S C Lee, A A Polycarpou. Adhesion and friction evaluation of textured slider surfaces in ultra-low head–disk interface. Tribology Letters, 2004, 17: 739–749.
[29] T Y Chen, J H Ji, Y H Fu, et al. Tribological performance of UV picosecond laser multi-scale composite textures for C/SiC mechanical seals: Theoretical analysis and experimental verification. Ceramics International, 2021, 47(16): 23162–23180.
[30] K Yagi, W Matsunaka, J Sugimura. Impact of textured surfaces in starved hydrodynamic lubrication. Tribology International, 2021, 154: 106756.
[31] L Galda, J Sep, A Olszewski, et al. Experimental investigation into surface texture effect on journal bearings performance. Tribology International, 2019, 136: 372–384.
[32] L V Mirantsev, A K Abramyan. Couette flows between various bounding substrates. Physics Letters A, 2020, 384(8): 126181.
