In the paper different approaches are described for applying artificial neural network
techniques for modelling and monitoring of machining processes (turning, milling) by sensor …

In intelligent manufacturing systems, unprecedented und unforeseen situations are
expected to be solved, within certain limits, even on the basis of incomplete and inprecise …

This paper describes a case study the aim of which was to apply neural-network technology
to the selection of machining parameters and to the prediction of machining performance in …

A rolling mill process control system calculates the setup for the mill's actuators based on
models of the technological process. Neural networks are applied as components of hybrid …

This paper discusses the application of neural network-based pattern recognition
techniques for monitoring the metal-cutting process. The specific application considered is in …

The aim of this work is to verify the applicability of artificial neural networks in a particular
field of CAPP systems: the selection of cutting tools. After a brief description of the main …

The supervision of tool wear is the most difficult task in the context of tool condition
monitoring for metal-cutting processes. Based on a continuous acquisition of signals with …

Modern manufacturing often caters to rapidly changing product specifications determined by
the continuously increasing productivity, flexibility and quality demands. Metal forming and …

The acceptance of the use of mathematical models for the determination of process forces in
machining is directly dependent on the quality of the used characteristic values. The …

Automated machining systems require reliable online monitoring processes. The application
of a multilayered neural network for tool condition monitoring in face milling is introduced …