Surface topography characterization of automotive cylinder liner surfaces using fractal methods

Deepak Lawrence K, B. Ramamoorthy

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This paper explores the use of fractal approaches for the possible characterization of automotive cylinder bore surface topography by employing methods such as differential box counting method, power spectral method and structure function method. Three stage plateau honing experiments were conducted to manufacture sixteen cylinder liner surfaces with different surface topographies, for the study. The three fractal methods are applied on the image data obtained using a computer vision system and 3-D profile data obtained using vertical scanning white light interferometer from the cylinder liner surfaces. The computed fractal parameters (fractal dimension and topothesy) are compared and correlated with the measured 3-D Abbott-Firestone curve parameters (S k, Spk, Svk, Sr1 and Sr2) that are currently used for the surface topography characterization cylinder liner surfaces. The analyses of the results indicated that the fractal dimension (D) computed using the vision data as well as 3-D profile data by employing three different fractal methods consistantly showed a negative correlation with the functional surface topographical parameters that represents roughness at peak (Spk),core (Sk) and valley (Svk) regions and positive correlation with the upper bearing area (Sr1) and lower bearing area (Sr2) of the automotive of cylinder bore surface.

Original languageEnglish
Pages (from-to)332-342
Number of pages11
JournalApplied Surface Science
Volume280
DOIs
Publication statusPublished - 01-09-2013

Fingerprint

Surface topography
Fractals
Bearings (structural)
Fractal dimension
Honing
Interferometers
Computer vision
Surface roughness
Scanning
Experiments

All Science Journal Classification (ASJC) codes

  • Surfaces, Coatings and Films

Cite this

@article{c549062462274669a5e672273df807e2,
title = "Surface topography characterization of automotive cylinder liner surfaces using fractal methods",
abstract = "This paper explores the use of fractal approaches for the possible characterization of automotive cylinder bore surface topography by employing methods such as differential box counting method, power spectral method and structure function method. Three stage plateau honing experiments were conducted to manufacture sixteen cylinder liner surfaces with different surface topographies, for the study. The three fractal methods are applied on the image data obtained using a computer vision system and 3-D profile data obtained using vertical scanning white light interferometer from the cylinder liner surfaces. The computed fractal parameters (fractal dimension and topothesy) are compared and correlated with the measured 3-D Abbott-Firestone curve parameters (S k, Spk, Svk, Sr1 and Sr2) that are currently used for the surface topography characterization cylinder liner surfaces. The analyses of the results indicated that the fractal dimension (D) computed using the vision data as well as 3-D profile data by employing three different fractal methods consistantly showed a negative correlation with the functional surface topographical parameters that represents roughness at peak (Spk),core (Sk) and valley (Svk) regions and positive correlation with the upper bearing area (Sr1) and lower bearing area (Sr2) of the automotive of cylinder bore surface.",
author = "{Lawrence K}, Deepak and B. Ramamoorthy",
year = "2013",
month = "9",
day = "1",
doi = "10.1016/j.apsusc.2013.04.157",
language = "English",
volume = "280",
pages = "332--342",
journal = "Applied Surface Science",
issn = "0169-4332",
publisher = "Elsevier",

}

Surface topography characterization of automotive cylinder liner surfaces using fractal methods. / Lawrence K, Deepak; Ramamoorthy, B.

In: Applied Surface Science, Vol. 280, 01.09.2013, p. 332-342.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Surface topography characterization of automotive cylinder liner surfaces using fractal methods

AU - Lawrence K, Deepak

AU - Ramamoorthy, B.

PY - 2013/9/1

Y1 - 2013/9/1

N2 - This paper explores the use of fractal approaches for the possible characterization of automotive cylinder bore surface topography by employing methods such as differential box counting method, power spectral method and structure function method. Three stage plateau honing experiments were conducted to manufacture sixteen cylinder liner surfaces with different surface topographies, for the study. The three fractal methods are applied on the image data obtained using a computer vision system and 3-D profile data obtained using vertical scanning white light interferometer from the cylinder liner surfaces. The computed fractal parameters (fractal dimension and topothesy) are compared and correlated with the measured 3-D Abbott-Firestone curve parameters (S k, Spk, Svk, Sr1 and Sr2) that are currently used for the surface topography characterization cylinder liner surfaces. The analyses of the results indicated that the fractal dimension (D) computed using the vision data as well as 3-D profile data by employing three different fractal methods consistantly showed a negative correlation with the functional surface topographical parameters that represents roughness at peak (Spk),core (Sk) and valley (Svk) regions and positive correlation with the upper bearing area (Sr1) and lower bearing area (Sr2) of the automotive of cylinder bore surface.

AB - This paper explores the use of fractal approaches for the possible characterization of automotive cylinder bore surface topography by employing methods such as differential box counting method, power spectral method and structure function method. Three stage plateau honing experiments were conducted to manufacture sixteen cylinder liner surfaces with different surface topographies, for the study. The three fractal methods are applied on the image data obtained using a computer vision system and 3-D profile data obtained using vertical scanning white light interferometer from the cylinder liner surfaces. The computed fractal parameters (fractal dimension and topothesy) are compared and correlated with the measured 3-D Abbott-Firestone curve parameters (S k, Spk, Svk, Sr1 and Sr2) that are currently used for the surface topography characterization cylinder liner surfaces. The analyses of the results indicated that the fractal dimension (D) computed using the vision data as well as 3-D profile data by employing three different fractal methods consistantly showed a negative correlation with the functional surface topographical parameters that represents roughness at peak (Spk),core (Sk) and valley (Svk) regions and positive correlation with the upper bearing area (Sr1) and lower bearing area (Sr2) of the automotive of cylinder bore surface.

UR - http://www.scopus.com/inward/record.url?scp=84879684296&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879684296&partnerID=8YFLogxK

U2 - 10.1016/j.apsusc.2013.04.157

DO - 10.1016/j.apsusc.2013.04.157

M3 - Article

AN - SCOPUS:84879684296

VL - 280

SP - 332

EP - 342

JO - Applied Surface Science

JF - Applied Surface Science

SN - 0169-4332

ER -