Abstract

This review paper delves into the significant advancements and explores future directions in the application of digital twin technology within machining processes, offering a comprehensive synthesis of current research, technological breakthroughs, and real-world applications. By systematically examining the integration of digital twins in enhancing operational efficiency, predictive maintenance, quality control, and customization in machining, the paper identifies key benefits such as improved productivity, reduced downtime, and enhanced product quality. Furthermore, it highlights existing challenges, including the complexity of implementation, data management issues, and the need for substantial initial investment. Drawing on a wide range of academic and industry sources, the review identifies gaps in current research and proposes potential interdisciplinary applications and technological innovations that could overcome these hurdles. The paper concludes with a forward-looking perspective, suggesting areas for further research and the development of standards to fully realize the transformative potential of digital twins in machining, thereby setting a new paradigm for future manufacturing practices.