Evaluation of coordinate measurement uncertainty with use of virtual machine model based on Monte Carlo method

Advances in modern manufacturing techniques implies more efficient production but also new tasks for coordinate metrology. The main of them is evaluation of accuracy of the measurement, because according to technological requirements, results of measurements are useful only when they are given with their accuracy. Currently used methods for uncertainty assessment are difficult and require knowledge and measuring experience. It is therefore important to implement correct and validated methods that will also be easy to implement and will not require broad metrological knowledge from the personnel. Presented here simulation method, based on Monte Carlo method is one of them. The article presents the conception, implementation and validation of this method.

► Modeling of accuracy of CMM can be transferred to the area of random errors.
► Model enables determination of the uncertainty in the quasi-real time.
► The data necessary to build the model can be collected even in a single day.
► Model presented in this work is less labor-intensive than other models.
► Verification measurements showed that model is working properly.