Fractal Characterization of Relative Movement Modes in Simulated Friction and Wear Tests

Abstract:

The selection of the relative movement mode between the friction pairs in simulated friction and wear tests is a crucial factor for the characterization and evaluation of metallic material properties. In this study, two kinds of commonly used metal materials (stainless steel 0Cr18Ni9 and aluminum alloy 2A12) were applied for the simulated friction and wear tests with four different modes of relative motion, including unidirectional, reciprocating, circular and multi-directional cross-shear. The corresponding surface topography and statistical parameters such as surface roughness Ra were obtained via OLYMPUS ultra-depth microscope. Based on the fractal theory, fractal dimension D was calculated to characterize the surface topography and the results indicate that, the fractal dimension D of the unidirectional and multi-directional cross-shear simulated friction and wear tests is the minimum and maximum respectively, which reflects that the fractal dimension D is able to characterize the complexity of the surface morphology. The fractal dimension D may be related to the intrinsic physical properties of metal materials, such as hardness and toughness, which needs to be further studied.

• Periodical: Materials Science Forum (Volume 944)
• Pages: 426-431
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.944.426
• Online since: January 2019
• Authors: Wei Jiang*, Cui Cui Ji, Dan Dan Zhang, Hua Xing Xiao, Yun Tian Dai
• Keywords: Fractal Characterization, Relative Movement Mode, Simulated Friction, Surface Topography, Wear Test

References

[1] B.B. Mandelbrot., D.E. Passoja., A.J. Paullay. Fractal Character of Fracture Surfaces of Metal[J]. Nature, 1984, 308(5961): 721-722.

DOI: 10.1038/308721a0

[2] Sayles and T.R. Thomas. Surface Topography as a Non-Stationary Random Process[J]. Nature, 1978, 271: 431-434.

DOI: 10.1038/271431a0

[3] L. He, J. Zhu. The Fractal Character of Processed Metal Surfaces[J]. Wear, 1997, 208: 17-24.

DOI: 10.1016/s0043-1648(96)07330-9

[4] S.R. Ge, K. Tonder. The Fractal Behavior and Fractal Characterization of Rough Surfaces[J]. Tribology, 1997, 17(1): 73-80.

[5] P. Sahoo, T. Barman, J.P. Davim. Fractal Analysis in Machining[J]. Springerbriefs in Applied Sciences & Technology, 2011, 3: 69-81.

DOI: 10.1007/978-3-642-17922-8_5

[6] M.D. Feo, M.I.D.B. Bouchet, C. Minfray, C. Esnouf, T.L. Mogne. Formation of Interfacial Molybdenum Carbide for DLC Lubricated by MoDTC: Origin of Wear Mechanism[J]. Wear, 2017, 370-371: 17-28.

DOI: 10.1016/j.wear.2016.10.002

[7] S. Odelros, B. Kaplan, M. Kritikos, M. Johansson, S. Norgren. Experimental and Theoretical Study of the Microscopic Crater Wear Mechanism in Titanium Machining[J]. Wear, 2017, 376-377: 115-124.

DOI: 10.1016/j.wear.2017.01.104

[8] J.G. Corrêa, R.B. Schroeter, Á.R. Machado. Tool Life and Wear Mechanism Analysis of Carbide Tools used in the Machining of Martensitic and Supermartensitic Stainless Steels[J]. Tribology International, 2017, 105: 102-117.

DOI: 10.1016/j.triboint.2016.09.035

[9] R.D. Peng, H.P. Xie, and Y. Ju. Computation Method of Fractal Dimension for 2-D Digital Image[J]. Journal of China University of Mining & Technology, 2004, 33(1): 19-24.

[10] W. Jiang, C.C. Ji, and H. Zhu. Fractal Study on Plant Classification and Identification[C]. International Workshop on Chaos-fractals Theories & Applications, 2009: 434-438.

DOI: 10.1109/iwcfta.2009.98

[11] E. W. Patten, D.V. Citters, M.D. Ries, L.A. Pruitt. Quantifying Cross-Shear Under Translation, Rolling, and Rotation, and its Effect on UHMWPE Wear[J]. Wear, 2014, 313(1-2): 125-134.

DOI: 10.1016/j.wear.2014.03.001