Experimental investigation of junction growth of rough contacts using X-ray computed tomography

被引:0
|
作者
Wang, Runliang [1 ]
Liu, Jianhua [1 ]
Liu, Bo [2 ]
Jia, Duo [2 ]
Ding, Xiaoyu [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
[2] AECC Shenyang Engine Res Inst, Shenyang 110000, Peoples R China
基金
中国国家自然科学基金;
关键词
three-dimensional (3D) contact analyses; real contact area (RCA); junction growth; X-ray computed tomography (CT); assembly interfaces; SPHERICAL CONTACT; RUBBER-FRICTION; REAL AREA; IN-SITU; MECHANICS; EVOLUTION; MODEL;
D O I
10.1007/s40544-024-0896-1
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The real contact area (RCA) of randomly rough contacts has received a great deal of attention because it correlates strongly with friction, lubrication, sealing, and conductivity. Simulations have revealed that the RCA associated with deterministic normal squeezing loads increases when tangential loads are also applied, in a phenomenon called junction growth. However, experimental investigations of the junction growth of randomly rough contacts are rare. Here, we used X-ray computed tomography (CT) to measure junction growth when two aluminum alloy surfaces were in contact. A high-resolution experimental setup was used to apply loads and observe contact behaviors at a resolution of 4 mu m. The RCA and average contact gaps were computed using a three-dimensional (3D) geometric model constructed from gray CT images using the Otsu thresholding method. The results showed that the RCA increased as the normal load increased. The RCA increased by 22.67% after a tangential load was applied (junction growth), and the average gap decreased by 14.01% after a tangential load was applied. Thus, X-ray CT accurately measured the junction growth as a novel quantitative method.
引用
收藏
页码:2519 / 2531
页数:13
相关论文
共 50 条
  • [31] Industrial computed X-ray tomography
    Luthi, T
    Flisch, A
    Wyss, P
    INSIGHT, 1998, 40 (03) : 196 - 197
  • [32] Design for X-Ray Computed Tomography
    Moroni, Giovanni
    Petro, Stefano
    29TH CIRP DESIGN CONFERENCE 2019, 2019, 84 : 173 - 178
  • [33] Dose in x-ray computed tomography
    Kalender, Willi A.
    PHYSICS IN MEDICINE AND BIOLOGY, 2014, 59 (03): : R129 - R150
  • [34] X-ray computed tomography of the heart
    Wijesekera, Nevin T.
    Duncan, Mark K.
    Padley, Simon P. G.
    BRITISH MEDICAL BULLETIN, 2010, 93 (01) : 49 - 67
  • [35] Operando investigation of the lithium/sulfur battery system by coupled X-ray absorption tomography and X-ray diffraction computed tomography
    Tonin, Guillaume
    Vaughan, Gavin B. M.
    Bouchet, Renaud
    Alloin, Fannie
    Di Michiel, Marco
    Barchasz, Celine
    JOURNAL OF POWER SOURCES, 2020, 468 (468)
  • [36] Pollutant Transport in Geomedia Using X-ray Computed Tomography
    Anderson, S. H.
    Liu, X.
    COMPLEX ADAPTIVE SYSTEMS, 2011, 6
  • [37] Using X-ray computed tomography to study paving materials
    Gopalakrishnan, K.
    Ceylan, H.
    Inanc, F.
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-CONSTRUCTION MATERIALS, 2007, 160 (01) : 15 - 23
  • [38] X-ray computed tomography for metals using fourier reconstruction
    Mantala, Chawanakorn
    Theera-Umpon, Nipon
    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 4664 - +
  • [39] X-ray computed tomography using curvelet sparse regularization
    Wieczorek, Matthias
    Frikel, Juergen
    Vogel, Jakob
    Eggl, Elena
    Kopp, Felix
    Noel, Peter B.
    Pfeiffer, Franz
    Demaret, Laurent
    Lasser, Tobias
    MEDICAL PHYSICS, 2015, 42 (04) : 1555 - 1565
  • [40] Defects Characterization in CFRP Using X-ray Computed Tomography
    Liu, Xueshu
    Chen, Fei
    POLYMERS & POLYMER COMPOSITES, 2016, 24 (02): : 149 - 154