Predictive Maintenance of Machine Tools Using Digital Twin

A machine tool is a complex equipment used to cut, shape, and form materials in a desirable manner. Some of the processes done by machine tools are grinding, cutting, shearing, and deformation of metals or rigid materials. The processed materials manufactured by machine tools will be an integral part of a final product design. The hardware design of the machine tool is based on engineering principles. The machine tool can be a lathe machine, a computer numerical control machine, or any other equipment used in material manufacturing. They are used in industries like automotive, aerospace, foundry, and household appliance industry, to make a variety of parts. In this chapter, we have summarized the existing knowledge regarding the machine tool life cycle, predictive maintenance, and digital twin (DT) technology. Towards the end, we have highlighted the key aspects of using DT technology for the predictive maintenance of machine tools, e.g., advancements in the sensing technologies, connectivity, big data analytics, and cloud computing. The chapter concludes with a mention of the future prospects, such as the development of an advanced architecture to handle the increasing diversity of the sensor data and combination of data-driven and model-based techniques to improve the accuracy of prediction.