E3S Web of Conferences (Jan 2018)

The Fractal Characterization of Mechanical Surface Profile Based on Power Spectral Density and Monte-Carlo Method

  • Shen Jingfang,
  • Gong Yuqi,
  • Meng Hang,
  • Yang Jiajun

DOI
https://doi.org/10.1051/e3sconf/20183804013
Journal volume & issue
Vol. 38
p. 04013

Abstract

Read online

The analysis of rough surface morphology plays an important role in the functional characteristics of the contact surface of mechanical parts. Fractal geometry method is more accurate and sensitive than classical statistics model. For fractal representation of rough surface, it is necessary to determine the proper fractal dimension calculation method. In this research, the effect of power spectral density method is studied based on Monte-Carlo method. The fractal dimensions are calculated, the theoretical and the calculated values are compared with paired samples. And the results are compared by non-parametric test. The result shows that power spectral density method has good characterization effect on fractal simulation contour curve. In addition, the precision of fractal dimension of power spectral density is related to fractal dimension of contour theory. The estimation methods of classical power spectral density have different application range.