[HTML][HTML] Exploring the integration of digital twin and additive manufacturing technologies

N Jyeniskhan, K Shomenov, MH Ali… - International Journal of …, 2024 - Elsevier
This paper offers a comprehensive overview of recent advancements in digital twin
technology applied to additive manufacturing (AM), focusing on recent research trends …

[HTML][HTML] Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis

L Espina-Romero, H Gutiérrez Hurtado, D Ríos Parra… - Sci, 2024 - mdpi.com
This study explores the evolution and impact of research on the challenges and
opportunities in the implementation of artificial intelligence (AI) in manufacturing between …

An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing

V Karkaria, YK Tsai, YP Chen, W Chen - Engineering Optimization, 2024 - Taylor & Francis
This article reviews optimization methods that enhance adaptability, efficiency and decision
making in modern manufacturing, emphasizing the transformative role of artificial …

Real-time decision-making for digital twin in additive manufacturing with model predictive control using time-series deep neural networks

YP Chen, V Karkaria, YK Tsai, F Rolark… - arxiv preprint arxiv …, 2025 - arxiv.org
Digital Twin-a virtual replica of a physical system enabling real-time monitoring, model
updating, prediction, and decision-making-combined with recent advances in machine …

Developments, challenges and future trends in advanced sustainable machining technologies for preparing array micro-holes

Y Liu, P Ouyang, Z Zhang, H Zhu, X Chen, Y Wang… - Nanoscale, 2024 - pubs.rsc.org
The use of array micro-holes is becoming increasingly prevalent across a range of
industries, including the aerospace, automotive, electronics, medical and chemical …

Security and privacy of digital twins for advanced manufacturing: A survey

AD Zemskov, Y Fu, R Li, X Wang, V Karkaria… - arxiv preprint arxiv …, 2024 - arxiv.org
In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation
abilities to predict, refine, and interpret conditions and operations, where it is crucial to …

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

V Karkaria, J Chen, C Luey… - International …, 2024 - asmedigitalcollection.asme.org
We introduce a novel digital twin framework for predictive maintenance of physical systems
with long term operations. Using monitoring tire health as an application, we show how the …

Simulation-in-the-loop additive manufacturing for real-time structural validation and digital twin development

Y Fu, ARJ Downey, L Yuan, HT Huang… - Additive Manufacturing, 2025 - Elsevier
Ensuring end-use quality is essential for batch-produced parts, particularly for load-bearing
components, where defects can significantly compromise structural integrity. Traditionally …

Digital Engineering in Photonics: Optimizing Laser Processing.

SP Murzin - Photonics, 2024 - search.ebscohost.com
This article explores the transformative impact of digital engineering on photonic
technologies, emphasizing advancements in laser processing through digital models …

A digital twin framework for anomaly detection in industrial robot system based on multiple physics-informed hybrid convolutional autoencoder

S Wang, J Tao, Q Jiang, W Chen, C Qin… - Journal of Manufacturing …, 2024 - Elsevier
The robot number in industry is growing up rapidly. Building anomaly detection system for
them can improve the security of these expensive devices. The article implements an …