Validation of the sensitivity analysis method of coordinate measurement uncertainty evaluation Article Swipe
Mirosław Wojtyła
,
Paweł Rosner
,
Wojciech Płowucha
,
Alistair Forbes
,
Enrico Savio
,
Alessandro Balsamo
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.measurement.2022.111454
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.measurement.2022.111454
The paper presents the results of the tests carried out to validate a new method for evaluating the uncertainty of coordinate measurements categorised as the Sensitivity Analysis (SA). This method concerns measuring dimensions and geometrical deviations. Measurement uncertainty is evaluated on the basis of information given in the Maximum Permissible Error (MPE) formula for a Coordinate Measuring Machine (CMM). Measurement models express the measured characteristics as a function of differences of coordinates of a small number of appropriately selected points of the workpiece. If reverification test results for the CMM used are available, then the estimated uncertainty takes into account the actual accuracy of the CMM. General formulae are given to calculate the uncertainty of measurement of a circle diameter and coaxiality. The relevant experiment is based on ISO 15530-3 recommendations. A calibrated cylindrical square was used for validation. 17 circles’ diameters and 84 different combinations of datum length and distance of the toleranced element from the datum for measuring coaxiality were adopted as validated characteristics. The validation results are presented in tables and graphs and the chi-square test for equality of variances was used to confirm that the method is correct. The validation results are positive.
Related Topics
Concepts
Geodetic datum
Coordinate-measuring machine
Sensitivity (control systems)
Measurement uncertainty
Basis (linear algebra)
Function (biology)
Mathematics
Observational error
Metrology
Algorithm
Statistics
Computer science
Engineering
Geometry
Geodesy
Mechanical engineering
Geology
Electronic engineering
Biology
Evolutionary biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.measurement.2022.111454
- OA Status
- hybrid
- Cited By
- 11
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281777721
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281777721Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.measurement.2022.111454Digital Object Identifier
- Title
-
Validation of the sensitivity analysis method of coordinate measurement uncertainty evaluationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-10Full publication date if available
- Authors
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Mirosław Wojtyła, Paweł Rosner, Wojciech Płowucha, Alistair Forbes, Enrico Savio, Alessandro BalsamoList of authors in order
- Landing page
-
https://doi.org/10.1016/j.measurement.2022.111454Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.measurement.2022.111454Direct OA link when available
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Geodetic datum, Coordinate-measuring machine, Sensitivity (control systems), Measurement uncertainty, Basis (linear algebra), Function (biology), Mathematics, Observational error, Metrology, Algorithm, Statistics, Computer science, Engineering, Geometry, Geodesy, Mechanical engineering, Geology, Electronic engineering, Biology, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 4, 2023: 3, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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11Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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