Review of artificial intelligence and machine learning technologies: classification, restrictions, opportunities and challenges

RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …

Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review

F He, L Yuan, H Mu, M Ros, D Ding, Z Pan… - Robotics and Computer …, 2023 - Elsevier
Recent development in the Wire arc additive manufacturing (WAAM) provides a promising
alternative for fabricating high value-added medium to large metal components for many …

[HTML][HTML] A digital twin framework for civil engineering structures

M Torzoni, M Tezzele, S Mariani, A Manzoni… - Computer Methods in …, 2024 - Elsevier
The digital twin concept represents an appealing opportunity to advance condition-based
and predictive maintenance paradigms for civil engineering systems, thus allowing reduced …

[HTML][HTML] A survey of additive manufacturing reviews

X Zhai, L Jin, J Jiang - Materials Science in Additive Manufacturing, 2022 - accscience.com
Nowadays, additive manufacturing (AM) technologies have been widely used in
construction, medical, military, aerospace, fashion, etc. The advantages of AM (eg, more …

A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control

Q Nie, D Tang, C Liu, L Wang, J Song - Robotics and Computer-Integrated …, 2023 - Elsevier
The demands for mass individualization and networked collaborative manufacturing are
increasing, bringing significant challenges to effectively organizing idle distributed …

Review of intelligence for additive and subtractive manufacturing: current status and future prospects

MA Rahman, T Saleh, MP Jahan, C McGarry… - Micromachines, 2023 - mdpi.com
Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless
possibilities in various sectors covering personal, industrial, medical, aviation and even …

[HTML][HTML] A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line

M Perno, L Hvam, A Haug - Computers in Industry, 2023 - Elsevier
Digital twins (DTs) are rapidly changing how manufacturing companies leverage the large
volumes of data they generate daily to gain a competitive advantage and optimize their …

High fidelity digital twin-based anomaly detection and localization for smart water grid operation management

ZY Wu, A Chew, X Meng, J Cai, J Pok… - Sustainable Cities and …, 2023 - Elsevier
Abstract Smart Water Grid (SWG) plays a critical role in sustaining cities economic and
social development, but challenges remain in fully realizing the benefits of SWG. While …

A state-of-the-art digital factory integrating digital twin for laser additive and subtractive manufacturing processes

U Tariq, R Joy, SH Wu, MA Mahmood… - Rapid Prototyping …, 2023 - emerald.com
Purpose This study aims to discuss the state-of-the-art digital factory (DF) development
combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and …

[HTML][HTML] Anomaly detection in laser powder bed fusion using machine learning: A review

T Sahar, M Rauf, A Murtaza, LA Khan, H Ayub… - Results in …, 2023 - Elsevier
Abstract Metal Additive Manufacturing (MAM) applications are growing rapidly in high-tech
industries such as biomedical and aerospace, and in many other industries including …