Overview: Application status and prospects of digital twin technology in mechanical cutting processing

Abstract

With the advancement of digitalization and intelligence, the demand for improving processing quality and efficiency is becoming increasingly urgent. Digital twin technology, a key supporting technology for intelligent manufacturing, can accurately simulate and predict the machining process in virtual space. This is achieved through data fusion analysis and iterative optimization, effectively ensuring the shape and quality of key components. The article provides a detailed review of the development history of digital twin technology, introduces the progress of its theoretical system construction and technical standard formulation, and explores its broad application prospects in the field of intelligent manufacturing. Through the analysis of relevant research and engineering cases, this article summarizes the current research status of relevant technologies, analyzes the future development directions, provides an application paradigm of digital twin in machining cutting processing, and reveals the important role and enormous potential of digital twin technology in promoting the transformation and upgrading of the manufacturing industry.