Engineers can use digital-twin models to monitor the state of any part of the system at any time and to trace complex interactions between product elements. Digital twins allow real-world data to inform product improvements by simulating the impact of proposed design changes using data collected from products operating the field.
Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and
By accurately simulating real-time bottlenecks on the production line, the digital twin also uncovered hidden blockages in the manufacturing process. The model integrated into the existing manufacturing execution system (MES) platforms, Internet of Things (IoT) devices, and inventory databases to determine the optimal sequencing of
The digital twin (DT) concept has a key role in the future of the smart manufacturing industry. This review paper aims to investigate the development of the digital twin concept, its maturity and its vital role in the fourth industrial revolution.
Using a digital twin to construct a virtual model of product can help in directly expressing the physical parameters of a product. In the manufacturing phase, the combination of digital twin and smart manufacturing can be used to specify a more rational manufacturing plan and achieve precise production control [26].
With the rapid evolution of digital twin, the application of digital twin has found an increasingly wide utilization in smart manufacturing. In view of the practical
It also presents the digital twin for smart product design, biomanufacturing, and IoT with case studies. It gives its readers a guideline for future trends and an application framework for
In this paper, we propose a modular-based Digital Twin system, including a server, a manufacturing module, a data processing module, a remote control module integrated with the VR technology, and a virtual machining module combined with the AR technology, aiming to improve the operating efficiency, enhance the visualization
Modern digital technologies such as the Industrial Internet of Things (IIoT), Big Data analytics, augmented/virtual reality, and artificial intelligence (AI) are the key enablers of new smart manufacturing approaches. The digital twin is an emerging concept whereby a digital replica can be built of any physical object.
A cutting process controlled by digital twins can be a modern solution for manufacturing. To ensure the correct behavior of a complex manufacturing system, modern engineering uses model-based simulation and data analysis to predict the outcome, optimize, adjust, and evaluate at all stages, not only in the initial design, but also in the
With the rapid evolution of digital twin, the application of digital twin has found an increasingly wide utilization in smart manufacturing. In view of the practical problems encountered by the current smart manufacturing enterprises, this paper aims to carry out quantitative green performance evaluation of smart manufacturing (GPEoSM)