KNOWLEDGE-BASED OPTIMISATION OF THE TACTILE SCANNING PROCESS ON CMM

Today the scanning-technology on measuring machines (CMMs) is used for tactile detection form deviations. Many companies apply CMMs instead form measuring devices because of their high flexibility the possibility of fast workpiece inspection. However, kinematic of CMMs is more complex than the one specialized form measurement devices. Dynamic like centrifugal force of roundness measuring, result in rising measurement uncertainty. The right setup of parameters, like point density and scanning speed, is challenging task. It is up to the machine operator guidelines for the setup of optimal parameters do not The dynamic characteristics of the used CMMs are sufficiently identified and the detection of the task dependent uncertainty is very complex. At the chair Production Metrology and Quality Management of Aachen University the characteristic behaviour of scanning CMMs are analysed. These studies built the for the practical and object oriented optimisation of measurement strategy. An actual research project deals the development of optimisation strategies by the maximum allowed measurement uncertainty. knowledge-database was defined containing information about the used CMM, ranges for parameters the main dynamic characteristics based on experiments.