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Article

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Title

Comparing repeatability and reproducibility of topographic measurement types directly using linear regression analyses of measured heights

Authors

[ 1 ] Instytut Technologii Mechanicznej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2024

Published in

Precision Engineering

Journal year: 2024 | Journal volume: vol. 88

Article type

scientific article

Publication language

english

Keywords
EN
  • Surface
  • Topography
  • Precision
  • Repeatability
  • Uncertainty
Abstract

EN This paper describes and illustrates a convenient, new method for checking repeatability and reproducibility by direct comparisons of measured heights. Focus variation, confocal, and interferometric optical areal profiling have been integrated as modes on the Sensofar S neox and are used here. Repeated, sequential measurements are made with these different types of measurement without repositioning the measurand. Several different positions are measured on the same measurand, an electroformed, standard areal surface with an irregular topography. Height (z) measurements at individual locations (x,y) are plotted between repeated measurements at the same position on the measurand, and are called H–H plots. These plots can be used for rapid evaluations of topographic measurement repeatability on ordinary topographic measurements. Exceptionally, such plots can also be used to see how well one type of measurements can reproduce another, such as confocal, focus variation, and interferometric, when they are integrated as modes on the same measurement instrument. Only when different types of measurement are included as modes on the same instrument can different measurement types be compared directly for reproducing each of the large numbers of locations (>105) in topographic measurements at the same position on a measurand. One way of quantifying repeatability and reproducibility is with coefficients of determination (R2) and slopes of linear regression analyses on these H–H plots.

Date of online publication

13.02.2024

Pages (from - to)

192 - 203

DOI

10.1016/j.precisioneng.2024.02.009

URL

https://www.sciencedirect.com/science/article/pii/S014163592400045X

Ministry points / journal

200

Impact Factor

3,6 [List 2022]

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