Digital twin of stone sawing processes

The industry is facing the management of manufacturing processes along the entire lifecycle of the product. It is helped by digital twin tools that may minimize the out of control of processes. Information and communication technologies help digital twin tools to monitor manufacturing performances. In this way, a continuous and unambiguous flow of information flows along the whole product lifecycle along digital process. They are based on data coming from manufacturing and inspection. Actually, no digital twin tool exists that assists machining of ornamental stones. Moreover, the models proposed by the literature take into account a unique aspect of the manufacturing process, such as the control of the cutting force and energy or the monitoring of the tool wear and, therefore, it does not exist a continuous flow of information from cutting force to tool monitoring. The present work introduces a digital twin tool to manage force, energy, and tool wear during machining of ornamental stone. It uses high-fidelity models for simulation that were widely experimentally tested. It establishes a continuous and unambiguous flow of information from machine to tool, and from cutting force and energy estimation to tool wear prediction. It was applied to two case studies and the obtained results agree with the experimental ones.