Parameter Optimization for Adaptive Modeling of Thermally Induced Errors in Machine Tools Based on Integral Deformation Sensors
Thermo elastic deformations are one of the most significant sources of production inaccuracies in cutting machine
tools today. There are numerous methods to model, monitor and compensate these thermal errors with the computer numerical
control (CNC). The physical modeling based on measurements with integral deformation sensors (IDS) has been proved
promising, since it captures the effect of all thermal influences in one measurement and needs low computational effort. Due to
the strongly varying conditions during small-batch production, the physical model can be re-parametrized to achieve a higher
compensation quality based on the current process parameters (for example milling or turning, dry or wet cutting, etc.).In this
paper, the potential of parameter identification methods are investigated to estimate the possible quality improvement of such
an adaptive compensation. Experiments carried out on a 3-axis machine tool demonstrate the effectiveness of the
CNC-integrated correction method based on the IDS with and without parameter optimization.
Index Terms - CNC Compensation, Machine Tools, Parameter Optimization, Thermal Errors.