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Electric resistance strain gauges

1949; Elsevier BV; Volume: 248; Issue: 3 Linguagem: Inglês

10.1016/0016-0032(49)90231-8

1879-2693

W. B. Dobie, Peter C G Isaac,

Structural Health Monitoring Techniques

The Fourth Industrial Revolution in global manufacturing has been attracting much attention due to its economic impacts and high expectations for drastically changing the competitive domain of various industries in recent years. Industry 4.0 affirms that technological change is a driver of transformation relevant to all industries and manufacturing systems. Within this concept, the Internet of Things (IoT) signifies that robots, material handling equipment such as automated guide vehicles, machines, sensors, and other equipment are networked and enabled to communicate with each other. With the rapid growth of integrating information technologies and operation technologies in industry, significant efforts have been made to make manufacturing smart. As a core element of future manufacturing, IoT-aided simulation and digital twin technology are going to challenge and change the fundamentals of manufacturing systems and operations. They are helpful tools to prepare a living model that continuously updates and changes as the physical counterpart changes to represent status, working conditions, product geometries, and resource states in a synchronous manner. Such a digital representation provides both the elements and dynamics of how a physical thing operates and lives throughout its life cycle. This chapter mainly focuses on the application of IoT-aided simulation and digital twin technology in smart manufacturing in the context of Industry 4.0, and provides a reference model. The convergence of the digital world and physical world, an important outcome of applying IoT-aided simulation and digital twin technology, enables smart decisions to be made at every point of manufacturing operations, thus fostering a data-driven smart manufacturing environment.