[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] 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 …

Tool wear prediction through AI-assisted digital shadow using industrial edge device

M Chehrehzad, G Kecibas, C Besirova, U Uresin… - Journal of Manufacturing …, 2024 - Elsevier
Flank wear of drilling tools in manufacturing is among the main factors affecting product
quality and productivity. In this study, an AI-assisted digital shadow was created for the …

[HTML][HTML] Service oriented digital twin for additive manufacturing process

Z Chen, K Surendraarcharyagie, K Granland… - Journal of Manufacturing …, 2024 - Elsevier
Abstract Currently, Industry 4.0 is rapidly developing, empowered by IoT, cloud computing
and AI. As two crucial components of Industry 4.0, digital twins and additive manufacturing …

Digital twin for sustainable development in building automation

J Zhang, S Jiang - Engineering, Construction and Architectural …, 2024 - emerald.com
Purpose This study investigates the impact and role of digital twin technology in building
automation (DTBA) from a sustainability viewpoint. It aims to enhance the understanding of …

[HTML][HTML] Comparative evaluation of powder spreading strategies to enhance powder bed quality in powder bed fusion additive manufacturing: A DEM simulation study

S Yim, H Wang, K Aoyagi, K Yamanaka, A Chiba - Powder Technology, 2025 - Elsevier
In this study, we proposed alternative spreading techniques aimed at enhancing the powder
bed properties in powder bed fusion additive manufacturing, utilizing discrete element …

[HTML][HTML] Towards efficient powder quality control in additive manufacturing via an in situ capable device and methodology leveraging multispectral machine learning

C Maucher, J Gerold, HC Möhring - Journal of Manufacturing Processes, 2024 - Elsevier
Additive manufacturing (AM) processes enables the fabrication of highly complex parts that
cannot be manufactured using conventional manufacturing methods. Constant and specified …

Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review

S Ben Amor, N Elloumi, A Eltaief, B Louhichi… - Processes, 2024 - mdpi.com
The additive manufacturing (AM) field is rapidly expanding, attracting significant scientific
attention. This family of processes will be widely used in the evolution of Industry 4.0 …

[HTML][HTML] Development and Implementation of a Deep Learning Algorithm to Evaluate the Powder Distribution Process During 3D Printing Using the LPBF Method

M Korzeniowski, AM Małachowska, M Szymański - Applied Sciences, 2024 - mdpi.com
This article presents research work on an intelligent system that was developed to monitor
and continuously evaluate the quality of metal powder distribution in the laser powder bed …

Electrical Smoothing of the Powder Bed Surface in Laser-Based Powder Bed Fusion of Metals

A Hofmann, T Grotz, N Köstler, A Mahr… - Journal of Manufacturing …, 2024 - mdpi.com
Achieving a homogeneous and uniform powder bed surface as well as a defined, uniform
layer thickness is crucial for achieving reproducible component properties that meet …