This paper presents a conceptual model for integrating digital twins into a Product Lifecycle Management (PLM) system, aiming to enhance the lifecycle management of cutting tools in high-performance manufacturing. The proposed model integrates key lifecycle stages—tool requirements analysis, conceptual design, prototyping, manufacturing, and usage—through a cohesive workflow. A central feature of this system is the integration of digital twins, which facilitates the collection of real-time data and the delivery of feedback, thereby enabling the optimization of tool performance and the implementation of predictive maintenance. The model adheres to international standards (ISO 13399) to ensure interoperability and facilitate the effective exchange of data across systems. While the present study focuses on the conceptual framework, the methodology is designed to be applicable in practical environments and is open for future verification through real-world case studies. The validation of the model's potential for predicting tool wear, optimizing cutting parameters, and enhancing decision-making capabilities in manufacturing would be demonstrated by such an analysis. Theoretically, the findings of this study establish a substantial basis for the development of sophisticated PLM solutions that integrate digitalization and data-driven methodologies. These solutions offer significant advantages for industries aiming to enhance efficiency and sustainability.
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