G. Warnecke et R. Kluge, CONTROL OF TOLERANCES IN TURNING BY PREDICTIVE CONTROL WITH NEURAL NETWORKS, Journal of intelligent manufacturing, 9(4), 1998, pp. 281-287
Stochastic and non-deterministic influences have an effect on cutting
processes and lead to an unsteady and dynamic process behaviour. Conce
pts for the improvement of process reliability and for the control of
tolerances have to be developed in order to fulfil the increasing requ
irements on product quality. A concept for the improvement of manufact
uring accuracy through artificial neural networks (ANN) will be presen
ted as an example for the turning process. This ANN model makes it pos
sible to predict the dimensional deviation caused by tool wear. Feedin
g this back in an open loop within the: machine controller the deviati
on can be compensated by using an adaptive control of the depth of cut
.