Abstract Machine learning methods have shown potential for the optimization of production processes. Due to complex relationships often inherent in those processes, success such is uncertain and unreliable. Therefore, understanding (algorithmic) behavior results machine crucial improve prediction Here, mathematical tools may help. This paper shows how efficient algorithms training neural networ...

In recent years, the productivity of machine tools has been significantly improved by using computer-based CAD/CAM systems for Computer Numerical Control (CNC). Various types of CAM software in the market that provide tool path programming and can be applied for different types of the machining process such as drilling, milling, and turning. However, sometimes the default tool path generated in...

This paper reviews current developments in mechatronic systems for metal cutting and forming machine tools. The integration of mechatronic modules to the machine tool and their interaction with manufacturing processes are presented. Sample mechatronic components for precision positioning and compensation of static, dynamic and thermal errors are presented as examples. The effect of modular inte...