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Propagation of measurement uncertainty for surface texture parameters

Brennan, James K., Jiang, Xiang, Crampton, Andrew and Leach, Richard K. (2006) Propagation of measurement uncertainty for surface texture parameters. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2006: CEARC’06. University of Huddersfield, Huddersfield, pp. 1-6.

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Abstract

This paper outlines a proposal for research into fulfilling the need for reliable software algorithms to
compute the standard uncertainty of surface texture parameters. The target will be to develop a library
of software algorithms for the sole purpose of safely calculating surface parameters from ISO
standards. The research pays particular attention to the propagation of measurement uncertainty
through each parameter, something which has not been thoroughly addressed in this field. By taking
existing methodologies to express the uncertainty of measurement the endeavour is to tailor a new
method that will specifically address the special issues concerned with determining surface texture
parameters from nano-scale surfaces.

Item Type: Book Chapter
Uncontrolled Keywords: metrology uncertainty surface texture parameter
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge

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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
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Depositing User: Graham Stone
Date Deposited: 03 Apr 2009 10:10
Last Modified: 25 Aug 2015 09:37
URI: http://eprints.hud.ac.uk/id/eprint/3795

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