Published August 2016 | Version v1
Journal article

Procedure to approximately estimate the uncertainty of material ratio parameters due to inhomogeneity of surface roughness

  • 1. Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116 Braunschweig (Germany)
  • 2. Software and Tools for Computational Engineering, RWTH Aachen University, Seffenter Weg 23, 52074 Aachen (Germany)
  • 3. Institute for Measurement and Sensor Technology, University of Kaiserslautern, Gottlieb-Daimler-Straße, 67663 Kaiserslautern (Germany)

Description

Roughness parameters that characterize contacting surfaces with regard to friction and wear are commonly stated without uncertainties, or with an uncertainty only taking into account a very limited amount of aspects such as repeatability of reproducibility (homogeneity) of the specimen. This makes it difficult to discriminate between different values of single roughness parameters. Therefore uncertainty assessment methods are required that take all relevant aspects into account. In the literature this is rarely performed and examples specific for parameters used in friction and wear are not yet given. We propose a procedure to derive the uncertainty from a single profile employing a statistical method that is based on the statistical moments of the amplitude distribution and the autocorrelation length of the profile. To show the possibilities and the limitations of this method we compare the uncertainty derived from a single profile with that derived from a high statistics experiment. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0957-0233/27/8/085005

Additional details

Publishing Information

Journal Title
Measurement Science and Technology
Journal Volume
27
Journal Issue
8
Journal Page Range
[11 p.]
ISSN
0957-0233
CODEN
MSTCEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49032270
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
AMPLITUDES; APPROXIMATIONS; COMPARATIVE EVALUATIONS; DATA COVARIANCES; FRICTION; LENGTH; ROUGHNESS; SURFACES; WEAR
Descriptors DEC
CALCULATION METHODS; DIMENSIONS; EVALUATION; SURFACE PROPERTIES