This paper advances a method to implement the on-machine measurement (OMM) with
the touch-trigger probe, also called switching probes. Some of the advantages and disadvantages for
touch-trigger probe are discussed. However, the touch-trigger probe errors exist and become one of
the major errors for the measurement accuracy. Major factors that influence the probe measurement
have been analyzed. The basic technique of probe measurement error modeling with artificial neural
network was researched, and also the probe measurement error compensation with 3-layered backpropagation
artificial neural network was presented. At last in the experimental system composed of
DIXI 50 machining center, Fanuc 16i control system, Blum CNC P82.046 probe and PC, valid the
correlated techniques. In addition, the connection and communication between the machining center
equipped with probe system and the computer have been introduced. The experiment indicated that,
using the touch-trigger probe makes on-machine measurement more automatic and efficient. And
by using the back-propagation neural network for error compensation make on-machine
measurement more precise.
Evaluation of Touch Trigger Probe Measurement Uncertainty Using FEA
