Digital twin for cutting tool: Modeling, application and service strategy

Developments in the internet technology, internet of things, cloud computing, big data, and artificial intelligence in recent years have brought significant advancements in manufacturing, among which manufacturing digitalization contributes greatly to the ever-increasing productivity. A cutting tool driven by the digital twin can provide modern solution to these ever-growing needs of digitalization. In this paper, the digital twin driven-data flow framework at every state of the cutting tool life cycle is proposed in order to ensure the possibility for continuous improvement of process and tool. The detailed digital twin-driven services are discussed, and there are two service modes for manufacturers to meet customer needs. Furthermore, a virtual cutting tool test platform fused with physical tool wear data and virtue tool wear data, which provides a promising guidance for the development of intelligence manufacturing in future. The development prospects and challenges of data analysis, fusion, mining, and service are also discussed.