A survey on digital twin for industrial internet of things: Applications, technologies and tools

H Xu, J Wu, Q Pan, X Guan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …

The emergence of cognitive digital twin: vision, challenges and opportunities

X Zheng, J Lu, D Kiritsis - International Journal of Production …, 2022 - Taylor & Francis
As a key enabling technology of Industry 4.0, Digital Twin (DT) has been widely applied to
various industrial domains covering different lifecycle phases of products and systems. To …

Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework

SS Kamble, A Gunasekaran, H Parekh, V Mani… - … Forecasting and Social …, 2022 - Elsevier
A digital twin is an integration of virtual and physical systems using disruptive technologies.
More precisely, it is a method of develo** sustainable, intelligent manufacturing systems …

Towards the future of smart electric vehicles: Digital twin technology

G Bhatti, H Mohan, RR Singh - Renewable and Sustainable Energy …, 2021 - Elsevier
Worldwide, transportation accounts for 18% of global carbon dioxide emissions (as of 2019).
In order to battle the impending threat of climate change, consumers and industry must …

Review of digital twin about concepts, technologies, and industrial applications

M Liu, S Fang, H Dong, C Xu - Journal of manufacturing systems, 2021 - Elsevier
Various kinds of engineering software and digitalized equipment are widely applied through
the lifecycle of industrial products. As a result, massive data of different types are being …

[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L **, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Metallurgy, mechanistic models and machine learning in metal printing

T DebRoy, T Mukherjee, HL Wei, JW Elmer… - Nature Reviews …, 2021 - nature.com
Additive manufacturing enables the printing of metallic parts, such as customized implants
for patients, durable single-crystal parts for use in harsh environments, and the printing of …

Digital twin: Values, challenges and enablers from a modeling perspective

A Rasheed, O San, T Kvamsdal - IEEE access, 2020 - ieeexplore.ieee.org
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Q Zhu, Z Liu, J Yan - Computational Mechanics, 2021 - Springer
The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …

Review of digital twin applications in manufacturing

C Cimino, E Negri, L Fumagalli - Computers in industry, 2019 - Elsevier
Abstract In the Industry 4.0 era, the Digital Twin (DT), virtual copies of the system that are
able to interact with the physical counterparts in a bi-directional way, seem to be promising …