Digital twins are sophisticated, virtual representations of manufacturing processes or services, regulated by specified qualities and criteria. They can be used to study and further comprehend an item or process, leading to its optimisation without the resources necessary in a real-world trial and error mode of operation. Digital twins are linked to their real-world counterparts via sensors and other Internet of Things (IoT) devices. The fundamental difficulties reside in the sensors used to realise the digital environments, and their ability to create a meaningful virtual representation. In essence, virtual reality and augmented reality are natural developments and a fusion of numerous new technologies such as IoT, wireless networks, sensor integration, machine learning, artificial intelligence, big data and data visualisation. They are undeniably one of the cornerstones of Industry 4.0 in attaining comprehensive control and communication between labour, machines and management.
This special issue looks at the applications and implementation of digital twin technology in various industries. Authors are requested to submit original, high-quality research that incorporates the sensors used in digital twin systems.
- Digital twin sensors for new fabrication systems,such as 3D printers
- Digital twins of production lines and manufacturing
- Advances and challenges in complex virtual representations
- Virtual and augmented reality (VR/AR) in digital twins
- Complex simulations and digital twins
- New complex algorithms and models for digital twins
- New applications and tools for digital twins for unmanned vehicles and their applications
- Graphical representations of digital twins for computer games
- New hardware controllers and digital twins
- Complex feedback systems and architectures for digital twins
- Submission deadline: 15 December 2022
- First notification: 15 February 2023
- Final paper due: 31 March 2023
- Publication: 30 April 2023
All submissions must be original and should not be under review for publication elsewhere. Conference papers may be submitted, only if the paper is completely re-written or substantially (80%) extended. For additional questions, please contact the Guest Editors. All submitted papers will be peer reviewed using the normal standards of the journal.
- Dr. Gaurav Dhiman, University Centre for Research and Development, Department of Computer Science and Engineering, Chandigarh University, India Department of Computer Science and Engineering, Graphic Era Deemed to be University, India. Email: email@example.com
- Prof. Dr. Atulya Nagar, Pro Vice-Chancellor (Research), Liverpool Hope University, United Kingdom. Email: firstname.lastname@example.org
- Prof. Dr. Seifedine Kadry, Department of Applied Data Science, Noroff University College, Norway.Email: email@example.com