基于随机种子的多孔含油保持架建模方法研究

doi:10.3901/JME.2021.15.138

机械工程学报 ›› 2021, Vol. 57 ›› Issue (15): 138-145.doi: 10.3901/JME.2021.15.138

扫码分享

基于随机种子的多孔含油保持架建模方法研究

尹婷婷¹, 孙小波², 闫柯¹, 洪军¹, 朱永生¹, 李媛媛²

1. 西安交通大学现代设计与转子轴承系统教育部重点实验室西安 710049;
2. 洛阳轴承研究所有限公司洛阳 471039

收稿日期:2020-08-03 修回日期:2020-11-19 出版日期:2021-08-05 发布日期:2021-11-03
通讯作者: 闫柯(通信作者),男,1984年出生,博士,教授,博士研究生导师。主要研究方向为轴承润滑与热特性分析。E-mail:yanke@mail.xjtu.edu.cn
作者简介:尹婷婷,女,1995年出生。主要研究方向为多孔含油保持架的润滑机理研究。E-mail:ytt0225@stu.xjtu.edu.cn
基金资助:
国家自然科学基金优秀青年科学基金（52022077）资助项目。

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

YIN Tingting¹, SUN Xiaobo², YAN Ke¹, HONG Jun¹, ZHU Yongsheng¹, LI Yuanyuan²

1. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an 710049;
2. Luoyang Bearing Research Institute Co. Ltd, Luoyang 471039

Received:2020-08-03 Revised:2020-11-19 Online:2021-08-05 Published:2021-11-03

摘要/Abstract

摘要： 多孔含油保持架凭借其内部微孔隙结构存储和释放润滑介质实现自润滑效应，对保持架自身微米、亚微米级孔隙结构的几何建模是其多力场作用过程及自润滑机理分析的前提。针对现有多孔材料建模方法孔隙率大、局部失真等问题，基于冷压烧结工艺的成型原理，提出一种面向多孔保持架二维及三维结构的数字化快速建模方法。基于随机种子方法确定颗粒中心位置及颗粒几何尺寸，结合堆叠原理模拟颗粒在烧结过程中随机堆叠挤压过程，采用伪随机数发生器确保多次堆叠过程的颗粒中心及尺寸的随机性。在此基础之上，借助Rhino软件完成三维建模并与真实多孔含油保持架结构进行对比验证。最后通过COMSOL Multiphysics平台开展多孔保持架二维几何建模及多场耦合分析，从微孔隙内部的流动与传热过程分析验证了本文建模方法的可行性与正确性，为小尺度孔道、小孔隙率三维模型构建提供了新思路。

关键词: 多孔含油保持架, 随机种子理论, 建模方法, 模型验证

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

中图分类号:

TG156

尹婷婷, 孙小波, 闫柯, 洪军, 朱永生, 李媛媛. 基于随机种子的多孔含油保持架建模方法研究[J]. 机械工程学报, 2021, 57(15): 138-145.

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.

参考文献

[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.

基于随机种子的多孔含油保持架建模方法研究

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics

本文评价

[1]	陈明, 赵振宙, 孟令玉, 冯俊鑫, 江瑞芳, 玛尔瓦提·黑扎提. 涡流发生器参数化模型风力机叶段表面应用方法研究[J]. 机械工程学报, 2022, 58(8): 258-265.
[2]	刘茜, 程靖, 梁建勋. 混合碰撞建模方法及其试验验证[J]. 机械工程学报, 2022, 58(1): 116-123.
[3]	韩健, 李志辉, 肖新标, 杨刚, 温泽峰, 金学松. 地铁列车-嵌入式轨道系统动力学性能研究I：理论建模、试验分析及验证[J]. 机械工程学报, 2020, 56(22): 148-158.
[4]	董泽园, 李杰, 刘辛军, 梅斌, 陈俊宇. 数控机床两种几何误差建模方法有效性试验研究[J]. 机械工程学报, 2019, 55(5): 137-147.
[5]	杨继斌, 宋鹏云, 张继业, 王国梁, 张晗. 混合动力现代有轨电车仿真系统研究[J]. 机械工程学报, 2017, 53(18): 161-168.
[6]	江平宇, 孙培禄, 丁凯, 王闯. 一种基于射频识别技术的过程跟踪形式化图式推演建模方法及其生产应用研究[J]. 机械工程学报, 2015, 51(20): 9-17.
[7]	詹振飞;胡洁;符雁;杨仁杰;彭颖红;戚进. 虚拟样机环境下不确定性多元动态系统模型验证[J]. , 2012, 48(5): 138-146.
[8]	钱萍;陈文华;马子魁;卢献彪;高亮. 综合应力加速寿命模型验证方法的研究[J]. , 2010, 46(24): 156-161.
[9]	王伟;魏洪兴;陈殿生;王田苗. 基于经验模分解和最小二乘支持矢量机的装载机载质量动态测量混合建模方法[J]. , 2008, 44(2): 87-93.
[10]	李建强;范玉顺. 工作流模型可调度性验证与分析方法[J]. , 2004, 40(4): 93-98.
[11]	朱剑英. 现代制造系统模式、建模方法及关键技术的新发展[J]. , 2000, 36(8): 1-5.