TY - GEN
T1 - Fractal characterization of nano anisotropic rough surface
AU - Wang, Hui
AU - Cui, Jiwen
AU - Ma, Yarui
AU - Wu, Jianwei
AU - Tan, Jiubin
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2021
Y1 - 2021
N2 - With the development of ultra-precision equipment, the roughness of contact surface can reach the nanometer level, and the surface morphology has a significant impact on surface contact, friction, wear and lubrication. At present, the surface morphology description is mainly based on the measurement, which is scale dependent, and the statistical parameters obtained by different sampling length and measurement resolution are different, so it is impossible to realize the accurate characterization of nanoscale rough surface. Because the rough surface is self-affine, another method can be introduced to characterize the rough morphology, fractal theory. The simulated rough surface has the advantage that it is not limited by the sampling length, and can realize the unique characterization of the rough surface. In this study, a nanoscale anisotropic three-dimensional fractal surface is established based on W-M model, and the relationships between fractal dimension D, roughness coefficient G, contour arithmetic mean deviation Sa and contour height standard deviation Sq are studied based on statistical principle.
AB - With the development of ultra-precision equipment, the roughness of contact surface can reach the nanometer level, and the surface morphology has a significant impact on surface contact, friction, wear and lubrication. At present, the surface morphology description is mainly based on the measurement, which is scale dependent, and the statistical parameters obtained by different sampling length and measurement resolution are different, so it is impossible to realize the accurate characterization of nanoscale rough surface. Because the rough surface is self-affine, another method can be introduced to characterize the rough morphology, fractal theory. The simulated rough surface has the advantage that it is not limited by the sampling length, and can realize the unique characterization of the rough surface. In this study, a nanoscale anisotropic three-dimensional fractal surface is established based on W-M model, and the relationships between fractal dimension D, roughness coefficient G, contour arithmetic mean deviation Sa and contour height standard deviation Sq are studied based on statistical principle.
KW - Fractal
KW - Roughness
KW - Surface morphology
UR - https://www.scopus.com/pages/publications/85122480714
U2 - 10.1117/12.2612033
DO - 10.1117/12.2612033
M3 - 会议稿件
AN - SCOPUS:85122480714
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Tenth International Symposium on Precision Mechanical Measurements
A2 - Xia, Haojie
A2 - Yang, Lian X.
A2 - Yu, Liandong
PB - SPIE
T2 - 10th International Symposium on Precision Mechanical Measurements
Y2 - 15 October 2021 through 17 October 2021
ER -