Assessment of Uncertainties in Dimensional Metrology by Monte Carlo Simulation: Proposal of a Modular and Visual Software

Abstract An accurate assessment of the uncertainty associated with measured dimensions is increasingly important in industrial routine. The GUM [1] provides definitions and suggests a standard procedure for the assessment of uncertainties. However, this procedure is tedious or even impossible in the case of complex dimensional measurements. This paper demonstrates, that the Monte Carlo simulation allows a straightforward and accurate assessment of uncertainties in complex dimensional measurements. A modular software concept is proposed which allows the set up of the model function for such complex measurement processes by concatenation of modules from a library. A validation of the method is provided by comparison measurements.