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

L Jin, 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 …

[HTML][HTML] Digital twins enable shipbuilding

J Liu, Y Zhang, Z Liu, J Leng, H Zhou, S Gu… - Alexandria Engineering …, 2024 - Elsevier
In the context of Industry 4.0, the most important trend in the shipbuilding industry is to
efficiently manufacture intelligent and more environmentally friendly ships. This requires the …

The link between lean manufacturing and Industry 4.0 for product development process: a systemic approach

PR Tardio, JL Schaefer, EOB Nara… - Journal of …, 2023 - emerald.com
Purpose This research examines the impact of integrating lean manufacturing (LM)
principles and Industry 4.0 (I4. 0) into the product development process (PDP) of …

Digital twin-enabled grasp outcomes assessment for unknown objects using visual-tactile fusion perception

Z Zhang, Z Zhang, L Wang, X Zhu, H Huang… - Robotics and Computer …, 2023 - Elsevier
Humans can instinctively predict whether a given grasp will be successful through visual
and rich haptic feedback. Towards the next generation of smart robotic manufacturing …

Digital-Twin virtual model real-time construction via spatio-temporal cascade reconstruction for full-field plastic deformation monitoring in metal tube bending …

J Li, Z Wang, S Zhang, J Ji, Y Xiang, D Wang… - Robotics and Computer …, 2025 - Elsevier
Digital Twin (DT) technology, which integrates multi-source information, is extensively
applied for comprehensive monitoring, predicting, and optimizing manufacturing processes …

A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization

A Khdoudi, T Masrour, I El Hassani, C El Mazgualdi - Systems, 2024 - mdpi.com
In the context of Industry 4.0 and smart manufacturing, production factories are increasingly
focusing on process optimization, high product customization, quality improvement, cost …

Exploring the Potential of Cyber Manufacturing System in the Digital Age

U Ahmed, JCW Lin, G Srivastava - ACM Transactions on Internet …, 2023 - dl.acm.org
Cyber-manufacturing Systems (CMS) have been growing in popularity, transitioning from
conventional manufacturing to an innovative paradigm that emphasizes innovation …

Literal-aware knowledge graph embedding for welding quality monitoring: a bosch case

Z Tan, B Zhou, Z Zheng, O Savkovic, Z Huang… - International Semantic …, 2023 - Springer
Recently there has been a series of studies in knowledge graph embedding (KGE), which
attempts to learn the embeddings of the entities and relations as numerical vectors and …

Application of ISM to Identify the Contextual Relationships between the Sustainable Solutions Based on the Principles and Pillars of Industry 4.0: A Sustainability 4.0 …

LB Santos, FJC Melo, DS Guimaraes Junior… - Sustainability, 2023 - mdpi.com
This paper addresses the concept of Sustainability 4.0 in services, which can be defined as
an integrated approach that seeks to balance the dimensions of the triple bottom line …

[HTML][HTML] An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing

Y Hu, C Liu, M Zhang, Y Lu, Y Jia, Y Xu - Robotics and Computer …, 2024 - Elsevier
Disassembly is a decisive step in the remanufacturing process of End-of-Life (EoL) products.
As an emerging semi-automatic disassembly paradigm, human–robot collaborative …