Publication detail

Image Processing Methods Applied in Mapping of Lubrication Parameters

POLIŠČUK, R.

English title

Image Processing Methods Applied in Mapping of Lubrication Parameters

Type

Paper in proceedings (conference paper)

Language

en

Original abstract

Simple image processing approaches, like advanced palette fitting and convolution filters, can effectively replace traditional numerical methods in study of ball bearings. Two innovative experimental methods for mapping of tribological parameters in elastohydrodynamically lubricated contacts were developed, based on combination of optical tribometer (used for view into simulated rolling bearing) and software processing of chromatic interferograms. The lubricant shape reconstruction uses optimized colorimetric analysis (Thin Film Colorimetric Interferometry, TFCI), while the fast contact pressure mapping method is based on Inverse Elasticity Theory (IET) and convolution.

Keywords in English

Tribology, Thin Film Lubrication, Chromatic Interferometry

Released

2009-11-26

Publisher

Springer-Verlag

Location

Berlin / Heidelberg

ISBN

978-3-642-10519-7

Book

Advances in Visual Computing

Pages from–to

1011–1020

Pages count

10

BIBTEX


@inproceedings{BUT30180,
  author="Radek {Poliščuk}",
  title="Image Processing Methods Applied in Mapping of Lubrication Parameters",
  booktitle="Advances in Visual Computing",
  year="2009",
  series="Lecture Notes in Computer Science",
  number="1",
  pages="1011--1020",
  publisher="Springer-Verlag",
  address="Berlin / Heidelberg",
  isbn="978-3-642-10519-7",
  url="http://www.springerlink.com/content/73n488736n4558v6/?p=4adb8e0fd4e149d9a4b149d7ab53618d&pi=96"
}