Abstract
This paper investigates the possibility for reduction of sample size for inspection of two-point diameters with a coordinate measuring machine, by use of statistical methods. The statistical methods implement the parametric and non-parametric statistic. As confirmed by the simulation results it is possible to keep the 95% confidence level with a relatively small data sample. A low sample size would be especially important for an operative online dimension inspection with CNC machine and immediate correction of a suspected part.
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Chelishchev, P., Sørby, K. (2019). Optimization of Sample Size for Two-Point Diameter Verification in Coordinate Measurements. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VIII. IWAMA 2018. Lecture Notes in Electrical Engineering, vol 484. Springer, Singapore. https://doi.org/10.1007/978-981-13-2375-1_39
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DOI: https://doi.org/10.1007/978-981-13-2375-1_39
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