Recent Patents on Digital Twin Technology Predict the Life of Machine Tool Components

In recent years, the rapid advancement of digital technology has driven the manufacturingindustry towards greater digitalization, networking, and intelligence. Digital twin technology hasemerged as a key enabler in the CNC machine tool life prediction field, focusing on establishingaccurate life prediction models. By integrating virtual models with comprehensive data, digital twinssupport fault diagnosis, enhance prediction accuracy, and improve reliability. This paper exploresdigital twin-driven CNC machine tools, beginning with an introduction to their conceptual frameworkand modelling methods. It then delves into the specific applications of digital twins across theproduct lifecycle, highlighting mainstream life prediction methods for core components, particularlycutting tools. Additionally, the paper analyzes workpiece-related factors in thermal error modellingand examines the prospects of digital twins in CNC machine tool life prediction. Future researchshould prioritize real-time multi-source data integration, adaptive prediction models for varying conditions,and AI-driven optimization to enhance the accuracy and applicability of digital twin technologyin manufacturing.