Evaluation of CMM Uncertainty Through Monte Carlo Simulations

Abstract In recent years there has been an increasing interest in suitable techniques for evaluating the uncertainties of measurement values yielded by CMMs. Among others, simulation techniques appear to suit the versatility of CMMs and to keep the CMM user involvement to a minimum. The paper outlines the Monte Carlo-based technique under development at the IMGC and illustrates its modular approach which enables a separate treatment of the various uncertainty sources. The importance of measurement correlation is pointed out and a medium-complexity example is given in the case of geometrical errors.