ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Micro sliding friction model considering periodic variation stress distribution of contact surface and experimental verification |
Sheng-Hao Lu(卢晟昊), Jing-Yu Han(韩靖宇), and Shao-Ze Yan(阎绍泽)† |
State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China |
|
|
Abstract Micro sliding phenomenon widely exists in the operation process of mechanical systems, and the micro sliding friction mechanism is always a research hotspot. In this work, based on the total reflection method, a measuring device for interface contact behavior under two-dimensional (2D) vibration is built. The stress distribution is characterized by the light intensity distribution of the contact image, and the interface contact behavior in the 2D vibration process is studied. It is found that the vibration angle of the normal direction of the contact surface and its fluctuation affect the interface friction coefficient, the tangential stiffness, and the fluctuation amplitude of the stress distribution. Then they will affect the change of friction state and energy dissipation in the process of micro sliding. Further, an improved micro sliding friction model is proposed based on the experimental analysis, with the nonlinear change of contact parameters caused by the normal contact stress distribution fluctuation taken into account. This model considers the interface tangential stiffness fluctuation, friction coefficient hysteresis, and stress distribution fluctuation, whose simulation results are consistent well with the experimental results. It is found that considering the nonlinear effect of a certain contact parameter alone may bring a greater error to the prediction of friction behavior. Only by integrating multiple contact parameters can the accuracy of friction prediction is improved.
|
Received: 16 June 2022
Revised: 26 August 2022
Accepted manuscript online: 08 September 2022
|
PACS:
|
46.55.+d
|
(Tribology and mechanical contacts)
|
|
42.30.Va
|
(Image forming and processing)
|
|
78.20.Ci
|
(Optical constants (including refractive index, complex dielectric constant, absorption, reflection and transmission coefficients, emissivity))
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11872033) and the Beijing Natural Science Foundation, China (Grant No. 3172017). |
Corresponding Authors:
Shao-Ze Yan
E-mail: yansz@mail.tsinghua.edu.cn
|
Cite this article:
Sheng-Hao Lu(卢晟昊), Jing-Yu Han(韩靖宇), and Shao-Ze Yan(阎绍泽) Micro sliding friction model considering periodic variation stress distribution of contact surface and experimental verification 2023 Chin. Phys. B 32 044602
|
[1] Sextro W 2000 Proceedings of the ASME Turbo Expo 2000: Power for Land, Sea, and Air Education, May 8-11, 2000, Munich, Germany, V004T03A067 [2] Usta A D, Shinde S and Eriten M 2017 J. Tribol. 139 061402 [3] Gu W W and Xu Z L 2010 Proceedings of the ASME Turbo Expo 2010: Power for Land, Sea, and Air, June 14-18, 2010, Glasgow, UK, p. 809 [4] Eriten M, Lee C H and Polycarpou A A 2012 Tribol. Int. 50 35 [5] Pesaresi L, Armand J, Schwingshackl C W, Salles L and Wong C 2018 J. Sound Vib. 436 327 [6] Xiao H, Shao Y and Xu J 2014 Eur. J. Mech.-A Solids 43 1 [7] Goodman L E 1980 Applied Mechanics Division, AMD [8] Capozza R and Urbakh M 2012 Phys. Rev. B 86 085430 [9] Daniel J, Segalman D J and Danny L 2009-07-01, Sandia National Laboratories: Sandia National Laboratories. [10] Pesaresi L, Salles L, Elliott R, Jones A, Green J S and Schwingshackl C W 2016 AMM 849 1 [11] Pesaresi L, Salles L, Jones A, Green J S and Schwingshackl C W 2017 Mech. Syst. Signal Processing 85 662 [12] Asai K and Gola M M 2015 Proceedings of the ASME Turbo Expo 2015: Turbine Technical Conference and Exposition, June 15-19, 2015, Quebec, Canada, V07BT33A002 [13] Campañá C, Persson B N J and Müser M H 2011 J. Phys.: Condens. Matter 23 085001 [14] Parker R C and Hatch D 1950 Proc. Phys. Soc. B 63 185 [15] Bhushan B 1985 A S L E Trans. 28 181 [16] Müser M H, Dapp W B, Bugnicourt R, Sainsot P, Lesaffre N, et al. 2017 Tribol. Lett. 65 118 [17] Yamaguchi T, Sawae Y and Rubinstein S M 2016 Extreme Mech. Lett. 9 331 [18] Dillavou S and Rubinstein S M 2018 Phys. Rev. Lett. 120 224101 [19] Matsukawa H, Otsuki M and Nakano K 2015 J. Surf. Sci. Soc. Jpn. 36 222 [20] Otsuki M and Matsukawa H 2013 Sci. Rep. 3 1586 [21] Kato A, Obara K, Igarashi T, Tsuruoka H, Nakagawa S and Hirata N 2012 Science 335 705 [22] Ozaki S, Mieda K, Matsuura T and Maegawa S 2018 Lubricants 6 38 [23] Maegawa S, Itoigawa F and Nakamura T 2016 Tribol. Int. 93 182 [24] Maegawa S, Itoigawa F and Nakamura T 2016 Tribol. Lett. 62 1 [25] Sanliturk K Y and Ewins D J 1996 J. Sound Vib. 193 511 [26] Luo Z, Song B, Han J and Yan S 2019 Chin. Phys. B 28 104601 [27] Luo Z, Song B, Han J and Yan S 2019 Chin. Phys. B 28 054601 [28] Han J, Ding J, Wu H and Yan S 2022 Chin. Phys. B 31 034601 [29] Lee H G, Yoon H M and Lee J S 2019 Appl. Surf. Sci. 481 1573 [30] Tian K W, Nitya N G, David L G and Robert W C J. Phys. Chem. B 122 991 [31] Han J, Luo Z, Zhang Y and Yan S 2022 Chin. Phys. B 30 054601 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|