Evolution of Lubrication Characteristics of Double-Nut Ball Screws Based on an Efficient Surface Roughness Modeling Method

被引:0
|
作者
Shen, Junwan [1 ]
Zhou, Changguang [1 ]
Feng, Hutian [1 ]
Chen, Zengtao [1 ,2 ]
机构
[1] Nanjing Univ Sci & Technol, Dept Mech Engn, Nanjing 210094, Peoples R China
[2] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2G8, Canada
来源
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME | 2025年 / 147卷 / 03期
关键词
ball screws; surface roughness simulation; lubrication characteristics; friction coefficient; EHL;
D O I
10.1115/1.4066502
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Accurate prediction of lubrication characteristics, specifically film thickness and pressure distribution, is pivotal for ensuring optimal performance in ball screws. Despite its significance, there is a notable dearth of studies investigating the evolution of lubrication characteristics resulting from the changing surface roughness over prolonged operation of ball screws. Furthermore, obtaining the surface roughness of ball screws poses a challenge due to the limited loading capacity of measurement instruments. Traditional methods involving cutting the screw for surface roughness measurement are impractical for continuous monitoring during extended operation. To address this issue, the present study introduces an efficient approach to model the surface roughness of the raceway in double-nut ball screws. A profilometer is employed to measure profile roughness along two directions (parallel and perpendicular to the rolling direction) without the need to cut the screw raceway. The 2D power spectral densities and height probability densities of profile roughness are calculated to model the surface roughness, and the synthesized data are utilized to solve the Reynolds equation. The simulation method is validated through friction torque tests, demonstrating a calculation accuracy exceeding 92%. The study further explores the evolution of film thickness and pressure distribution in double-nut ball screws during running-in and steady wear stages, revealing severe asperity contact in the two nuts. Additionally, variations in load ratio, friction coefficient, and film thickness ratio (lambda) are investigated. Considering the load ratio and lambda of the slave nut, it can be inferred that boundary lubrication persists in the two nuts throughout the operation.
引用
收藏
页数:15
相关论文
共 49 条
  • [41] An Efficient Multi-Scale Modeling Method that Reveals Coupled Effects Between Surface Roughness and Roll-Stack Deformation in Cold Sheet Rolling
    Zhang, Feng
    Malik, Arif S.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2021, 143 (10):
  • [42] Predictive Modeling of Surface Roughness and Feed Force in Al-50wt% Si Alloy Milling Based on Response Surface Method and Various Optimal Algorithms
    Jing, Lu
    Niu, Qiulin
    Zhan, Dilei
    Li, Shujian
    Yue, Wenhui
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48 (03) : 3209 - 3225
  • [43] Predictive Modeling of Surface Roughness and Feed Force in Al-50wt% Si Alloy Milling Based on Response Surface Method and Various Optimal Algorithms
    Lu Jing
    Qiulin Niu
    Dilei Zhan
    Shujian Li
    Wenhui Yue
    Arabian Journal for Science and Engineering, 2023, 48 : 3209 - 3225
  • [44] An Efficient Surface-Integral-Equation Based Nystrm Method With an Over-Determined Testing Scheme for Broadband Grating Scattering Modeling
    Bai, Xuyang
    Tan, Shurun
    IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES, 2025, 10 : 125 - 136
  • [45] Young's Double Slit Method-Based Higher Order Mode Surface Plasmon Microwave Antenna Sensor: Modeling, Measurements, and Application
    Kandwal, Abhishek
    Li, Jingzhen
    Igbe, Tobore
    Liu, Yuhang
    Das, Ranjan
    Kanaujia, Binod Kumar
    Nie, Zedong
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [46] Experimental study and modeling the SiO2-MWCNT (30:70)/SAE40 hybrid nano-lubricant flow based on the response surface method to identify the optimal lubrication conditions
    Hemmat Esfe, Mohammad
    Saedodin, Seyfolah
    Toghraie, Davood
    INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2022, 130
  • [47] MACHINE LEARNING-BASED MODELING AND OPTIMIZATION IN HARD TURNING OF AISI D6 STEEL WITH ADVANCED AlTiSiN-COATED CARBIDE INSERTS TO PREDICT SURFACE ROUGHNESS AND OTHER MACHINING CHARACTERISTICS
    Das, Anshuman
    Das, Sudhansu Ranjan
    Panda, Jyoti Prakash
    Dey, Abhijit
    Gajrani, Kishor Kumar
    Somani, Nalin
    Gupta, Nitin Kumar
    SURFACE REVIEW AND LETTERS, 2022, 29 (10)
  • [48] Cracking behavior and acoustic emission characteristics of heterogeneous granite with double pre-existing filled flaws and a circular hole under uniaxial compression: Insights from grain-based discrete element method modeling
    Xunjian Hu
    Xiaonan Gong
    Haibo Hu
    Panpan Guo
    Junjie Ma
    Bulletin of Engineering Geology and the Environment, 2022, 81
  • [49] Cracking behavior and acoustic emission characteristics of heterogeneous granite with double pre-existing filled flaws and a circular hole under uniaxial compression: Insights from grain-based discrete element method modeling
    Hu, Xunjian
    Gong, Xiaonan
    Hu, Haibo
    Guo, Panpan
    Ma, Junjie
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2022, 81 (04)