Feeling Machine for Process Monitoring of Components with Stock Allowance

To realize the increasing automation and flexibilization of production, it is necessary to monitor component-specific characteristics under fluctuating production conditions. Signals with a high correlation process quality have be evaluated. In machining, force an important measurand, which sensitive changes in process. Feeling machines force-sensitive machine tool components are therefore promising signal source machining. However, also non-critical fluctuations such as stock allowance. Consequently, perform pre-processing generate features that increase robustness monitoring. this paper, material-specific cutting was investigated for first time concerning its suitability monitoring parts The sensitivity confidence limits evaluated based on normed bandgap. For investigation, face turning processes 20MnCr5 were carried out. results show use improves errors. context, feeling can used substitute dynamometer