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Optimize Control Points in Measurements by Amel Begić is a document available to read on EtoBox.
What is Optimize Control Points in Measurements about?
The document discusses optimizing the number of control points used in coordinate measurements based on Monte Carlo simulation. It proposes using statistical modeling to simulate measurement errors for batches of workpieces, allowing interval estimates of error to be obtained. This is demonstrated for flatness, cylindricity, and sphericity measurements. Four arrangements of control points are considered, and decreasing points can lower accuracy but increase productivity if the required measurement precision
- Author
- Amel Begić
- Language
- EN