Assessment of uncertainty in structured surfaces using metrological characteristics
| Autor: | Gavin D. MacAulay, Claudiu Giusca |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Surface (mathematics)
0209 industrial biotechnology Reproducibility Mechanical Engineering Flatness (systems theory) Monte Carlo method 02 engineering and technology 01 natural sciences Industrial and Manufacturing Engineering Metrology 010309 optics 020901 industrial engineering & automation Feature (computer vision) 0103 physical sciences Statistics Standard uncertainty Algorithm Uncertainty analysis Mathematics |
| Zdroj: | CIRP Annals. 65:533-536 |
| ISSN: | 0007-8506 |
| DOI: | 10.1016/j.cirp.2016.04.068 |
| Popis: | Structured surfaces are increasingly popular for many applications and are characterised by dimensional properties, such as diameter, often reported without an uncertainty or one based on a reproducibility analysis, which does not account for systematic effects. This paper presents a method to assess uncertainty in structured surfaces using the instrument's metrological characteristics and applies it to an example surface. Information, such as the flatness map, is used to estimate uncertainty via Monte Carlo calculations, as single values of the metrological characteristics, which are usually estimated, do not give enough information. The calculated standard uncertainty of a feature is slightly larger than that provided by a reproducibility study for the same surface, but the proposed approach accounts for additional uncertainty sources due to systematic effects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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