Research on power and vibration signal acquisition method and system of machine tool for tool wear monitoring

Abstract

Abstract Tool wear state is a crucial factor in the process of machine tool processing. Tool wear and failure affects the processing quality. Tool replacement in advance affects the production efficiency and increase the production cost. During the machining process, the power and vibration signal often change with the increase of tool wear, which provides a way to monitor tool wear. To meet the needs of tool wear monitoring, this paper presents a system architecture and hardware composition of power and vibration signal acquisition of machine tool, and develops a system to synchronously collect power, vibration signal and process parameters of machine tool. The vibration and power characteristic information recognition method is then discussed corresponding to the process to be monitored from the collected signals. The experimental results show that the system is able to collect and screen the changes of power and vibration signal throughout the whole life cycle of the cutting tool in real-time. The feature information recognition and screening have high efficiency and accuracy, which provides a data basis for tool wear monitoring.