Research on Modeling Method of Porous Oil-containing Cage Based on Random Seeds

doi:10.3901/JME.2021.15.138

Abstract

Abstract: The self-lubricating effect of porous oil-containing cage is realized by storing and releasing the lubricating medium in the micro-pore structure. The geometric modelling of the micron and sub-micron pore structure of the cage is the premise of researching its multi-force-field action process and analysing its self-lubrication mechanism. Aiming at the problems of the current porous material modelling methods, such as large porosity and local distortion, a rapid digital modelling method for two-dimensional and three-dimensional structures of porous cages is proposed, based on the forming principle of the powder metallurgy process. According to the random seed method, the centre position and geometric size of particles are determined, and the sintering process of random stacking and squeezing of particles is simulated by using the stacking principle. In addition, a pseudo-random number generator is used to ensure the randomness of the multiple stacking processes of the particle centre position and size. Build on this, three-dimensional modelling, which is completed through the Rhino software, is compared and verified with the actual structure of the porous oil-containing cage. Finally, two-dimensional geometric modelling and multi-field coupling analysis of the porous cage are carried out by the COMSOL Multiphysics platform. The feasibility and correctness of the modelling method are verified via analysing the flow and heat transfer process inside the micropores, which provides new ideas for the analysis of three-dimensional structures of small-scale channels and small porosities.

Key words: porous oil-containing cage, random seed theory, modeling method, model validation

CLC Number:

TG156

YIN Tingting, SUN Xiaobo, YAN Ke, HONG Jun, ZHU Yongsheng, LI Yuanyuan. Research on Modeling Method of Porous Oil-containing Cage Based on Random Seeds[J]. Journal of Mechanical Engineering, 2021, 57(15): 138-145.

References

[1] ZHANG D, WANG T M, WANG Q H, et al.Selectively enhanced oil retention of porous polyimide bearing materials by direct chemical modification[J].Journal of Applied Polymer Science, 2017, 134(29):1-7.
[2] 闫普选, 朱鹏, 谷和平, 等. 热塑性聚酰亚胺多孔材料的制备工艺的探讨[J]. 润滑与密封, 2007, 32(1):79-82.YAN Puxuan, ZHU Peng, GU Heping, et al. Study of preparation technology for thermoplastic polyamide porous material[J]. Lubrication Engineering, 2007, 32(1):79-82.
[3] 邱优香, 王齐华, 王超, 等. 多孔聚酰亚胺含油材料的储油性能及摩擦学行为研究[J]. 摩擦学学报, 2012, 32(6):538-543.QIU Youxiang, WANG Qihua, WANG Chao, et al. Oil-containing and tribological properties of porous polyimide containing lubricant oil[J]. Tribology, 2012, 32(6):538-543.
[4] 石晓婷. 多孔PI/PTFE复合材料摩擦学性能研究[D]. 秦皇岛:燕山大学, 2016.SHI Xiaoting. Study on the tribological propertites of porous PI/PTFE composites[D]. Qinhuangdao:Yanshan University, 2016.
[5] 魏博熙. 应用数字岩心技术模拟高温高压气水渗流[D]. 成都:西南石油大学, 2017.WEI Boxi. Using digital core technology to simulate gas-water relative permeability under high temperature and high pressure[D]. Chengdu:Southwest Petroleum University, 2017.
[6] WANG J, ZHANG L, ZHAO J, et al. Variations in permeability along with interfacial tension in hydrate-bearing porous media[J]. Journal of Natural Gas Science& Engineering, 2018, 51:141-146.
[7] DONG H, BLUNT M. Micro-CT imaging and pore network extraction[D]. London:Earth Science and Engineering of Imperial College, 2008.
[8] DONG H, BLUNT M. Pore-network extraction from micro-computerized-tomography images[J]. Physical Review E, 2009, 80(3):1-11.
[9] 张迪, 王超, 卿涛, 等. 空间用多孔聚合物轴承保持架材料研究进展[J]. 机械工程学报, 2018, 54(9):17-26.ZHANG Di, WANG Chao, QING Tao, et al. Research progress of porous polymer bearing retainer materials used in aerospace[J]. Journal of Mechanical Engineering, 2017, 45(5):473-476.
[10] LI G Y, DAI S, ZHAN L T, et al. A pore-scale numerical investigation of the effect of pore characteristics on flow properties in soils[J]. Journal of Zhejiang University, 2019, 20(12):961-978.
[11] 岳亚美. 空间微量润滑条件下润滑介质的渗流和导流行为研究[D]. 哈尔滨:哈尔滨工业大学, 2018.YUE Yamei. Research on percolation and conduction behavior of lubrication medium on under minimum quantity lubrication in space[D]. Harbin:Harbin Institute of Technology, 2018.
[12] 郑建军, 张堃, 周欣竹, 等. 多孔材料水渗透系数预测的随机行走法[J]. 浙江工业大学学报, 2017, 45(5):473-476.ZHENG Jianjun, ZHANG Kang, ZHOU Xinzhu, et al. A random walk method for predicting the water permeability coefficient of porous materials[J]. Journal of Zhejiang University of Technology, 2017, 45(5):473-476.
[13] 吕志. 第五讲随机数的产生[J]. 数理统计与管理, 1985(3):37-45.LÜ Zhi. Lesson 5 Generation of random numbers[J]. Mathematical Statistics and Management, 1985(3):37-45.
[14] YIN T T, LI Y Y, YAN K, et al. Effect of pore parameters on lubrication performance of oil-containing cage[J]. Mechanisms and Machine Science, 2019, 77:1124-1135.
[15] 赵华俊. 采用多孔聚酰亚胺提高滚动轴承贫油润滑性能的研究[D]. 南京:南京航空航天大学, 2017.ZHAO Huajun. Study on improving the performance of rolling bearing at starved lubrication by porous PI[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2017.