Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

Y Wu, J Fang, C Wu, C Li, G Sun, Q Li - International Journal of Mechanical …, 2023 - Elsevier
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …

Intelligent additive manufacturing and design: state of the art and future perspectives

Y Xiong, Y Tang, Q Zhou, Y Ma, DW Rosen - Additive Manufacturing, 2022 - Elsevier
In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for
facilitating economic, efficient, and effective decision-making within the product and service …

Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing

T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2024 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …

Review of transfer learning in modeling additive manufacturing processes

Y Tang, MR Dehaghani, GG Wang - Additive Manufacturing, 2023 - Elsevier
Modeling plays an important role in the additive manufacturing (AM) process and quality
control. In practice, however, only limited data are available for each product due to the …

A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting

J Li, Q Zhou, L Cao, Y Wang, J Hu - Journal of Manufacturing Systems, 2022 - Elsevier
Selective laser melting (SLM) is an emerging and popular metal additive manufacturing
(AM) technique to fabricate advanced metal components with complex geometries …

Process monitoring, diagnosis and control of additive manufacturing

Q Fang, G Xiong, MC Zhou, TS Tamir… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Additive manufacturing (AM) can build up complex parts in a layer-by-layer manner, which is
a kind of novel and flexible production technology. The special manufacturing capability of …

A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data

J Akhavan, J Lyu, S Manoochehri - Journal of Intelligent Manufacturing, 2024 - Springer
This work presents an in-situ quality assessment and improvement technique using point
cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) …

[HTML][HTML] Laser powder bed additive manufacturing: A review on the four drivers for an online control

F Lupi, A Pacini, M Lanzetta - Journal of Manufacturing Processes, 2023 - Elsevier
Abstract Online control of Additive Manufacturing (AM) processes appears to be the next
challenge in the transition toward Industry 4.0 (I4. 0). Although many efforts have been …

A feature-level multi-sensor fusion approach for in-situ quality monitoring of selective laser melting

J Li, X Zhang, Q Zhou, FTS Chan, Z Hu - Journal of Manufacturing …, 2022 - Elsevier
Selective laser melting (SLM) is a commonly used technique in additive manufacturing to
produce metal components with complex geometries and high precision. However, the poor …

A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures

Y Mao, H Lin, CX Yu, R Frye, D Beckett… - Journal of Intelligent …, 2023 - Springer
Part quality manufactured by the laser powder bed fusion process is significantly affected by
porosity. Existing works of process–property relationships for porosity prediction require …