0
research-article

Topography Analysis of Random Anisotropic Gaussian Rough Surfaces

[+] Author and Article Information
Deepak K Prajapati

Department of Mechanical Engineering, Indian Institute of Technology, Patna, India, 801103
deepak.pme14@iitp.ac.in

Mayank Tiwari

Department of Mechanical Engineering, Indian Institute of Technology, Patna, India, 801103
mayankt@iitp.ac.in

1Corresponding author.

ASME doi:10.1115/1.4034960 History: Received July 04, 2016; Revised September 26, 2016

Abstract

Engineered surfaces show anisotropic characteristics and their topography parameters are direction dependent. Statistical characterization of these surfaces is still complex because of directional nature of surfaces. In this work, an attempt is made to simulate anisotropic surfaces through use of topography parameters (3D surface parameters). Firstly, 3D anisotropic random Gaussian rough surface is generated numerically with fast Fourier transform (FFT). Generated anisotropic random Gaussian rough surface shows the typical statistical properties similar to ground and similarly directional anisotropic rough surfaces. Thomas and Sayles (1976) theoretical model for directional anisotropic rough surface is adopted here for calculating the summit parameters i.e. summit density, equivalent bandwidth parameter, mean summit curvature, equivalent surface moments. Summit parameters are calculated using equivalent spectral moment approach. For numerically generated anisotropic Gaussian rough surface, important spatial and hybrid properties are discussed in details. This work demonstrates the variation of spectral moments in both across and parallel to the lay directions with pattern ratio (gamma= ßx/ßy ). Correlation length (ßx) is fixed and correlation length (ßy) is varied from 100 to10 . Variation of summit parameters with pattern ratio is also discussed in details. Results shows that mean summit curvature and skewness of summit heights increases with increase in pattern ratio, whereas standard deviation of summit heights and equivalent bandwidth parameter (ae) decreases with pattern ratio. A significant difference is found in ‘Abbott’ parameters when calculated in both perpendicular and parallel to lay directions. Effect of these parameters on wear process is discussed in brief.

Copyright (c) 2016 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In