[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

S Guo, M Agarwal, C Cooper, Q Tian, RX Gao… - Journal of Manufacturing …, 2022 - Elsevier
Abstract Machine learning (ML) has shown to be an effective alternative to physical models
for quality prediction and process optimization of metal additive manufacturing (AM) …

[HTML][HTML] Roadmap for additive manufacturing: toward intellectualization and industrialization

X Tian, L Wu, D Gu, S Yuan, Y Zhao, X Li… - Chinese Journal of …, 2022 - Elsevier
With the rapid development of Additive Manufacturing (AM) technology in the past 30 years,
AM has been shifting from prototyping to advanced manufacturing of functional components …

[HTML][HTML] Polymer metallization via cold spray additive manufacturing: A review of process control, coating qualities, and prospective applications

R Melentiev, N Yu, G Lubineau - Additive manufacturing, 2021 - Elsevier
Polymer metallization via cold spray additive manufacturing is an emerging thermal spray
approach for deposition of thick metallic coatings on polymers and fiber-reinforced …

Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges

P Wang, Y Yang, NS Moghaddam - Journal of Manufacturing Processes, 2022 - Elsevier
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …

In-situ experimental and high-fidelity modelling tools to advance understanding of metal additive manufacturing

L Wang, Q Guo, L Chen, W Yan - International Journal of Machine Tools …, 2023 - Elsevier
Metal additive manufacturing has seen extensive research and rapidly growing applications
for its high precision, efficiency, flexibility, etc. However, the appealing advantages are still …

Topology optimization for metal additive manufacturing: current trends, challenges, and future outlook

O Ibhadode, Z Zhang, J Sixt, KM Nsiempba… - Virtual and Physical …, 2023 - Taylor & Francis
Metal additive manufacturing is gaining immense research attention. Some of these
research efforts are associated with physics, statistical, or artificial intelligence-driven …

Multiphysics multi-scale computational framework for linking process–structure–property relationships in metal additive manufacturing: a critical review

S Sharma, SS Joshi, MV Pantawane… - International …, 2023 - journals.sagepub.com
This review article provides a critical assessment of the progress made in computational
modelling of metal-based additive manufacturing (AM) with emphasis on its ability to predict …

Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions

Z Wang, W Yang, Q Liu, Y Zhao, P Liu, D Wu… - Journal of Manufacturing …, 2022 - Elsevier
A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …

Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling

D Wu, P Zhang, Z Yu, Y Gao, H Zhang, H Chen… - Journal of Manufacturing …, 2022 - Elsevier
Laser beam welding manufacturing (LBW), being a promising joining technology with
superior capabilities of high-precision, good-flexibility and deep penetration, has attracted …