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) …

Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

SL Sing, CN Kuo, CT Shih, CC Ho… - Virtual and Physical …, 2021 - Taylor & Francis
The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited
despite the significant progress made in the development of the process chain. One of the …

Powder-based laser hybrid additive manufacturing of metals: a review

A Jiménez, P Bidare, H Hassanin, F Tarlochan… - … International Journal of …, 2021 - Springer
Recent advances in additive manufacturing (AM) have attracted significant industrial
interest. Initially, AM was mainly associated with the fabrication of prototypes, but the AM …

A systematic literature review on recent trends of machine learning applications in additive manufacturing

MD Xames, FK Torsha, F Sarwar - Journal of Intelligent Manufacturing, 2023 - Springer
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …

A review of the multi-dimensional application of machine learning to improve the integrated intelligence of laser powder bed fusion

K Li, R Ma, Y Qin, N Gong, J Wu, P Wen, S Tan… - Journal of Materials …, 2023 - Elsevier
Laser powder bed fusion (LPBF) as one of the most promising additive manufacturing (AM)
technologies, has been widely used to produce metal parts and applied in fields such as …

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

Y Zhang, M Safdar, J Xie, J Li, M Sage… - Journal of Intelligent …, 2023 - Springer
Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the
industry. With more and more design, process, structure, and property data collected …

3D printing of solid oral dosage forms: numerous challenges with unique opportunities

OL Okafor-Muo, H Hassanin, R Kayyali… - Journal of Pharmaceutical …, 2020 - Elsevier
Since the FDA approval of Spritam, there has been a growing interest in the application of
3D printing in pharmaceutical science. 3D printing is a method of manufacturing involving …

[HTML][HTML] Multiscale investigation of the influence of geometrical imperfections, porosity, and size-dependent features on mechanical behavior of additively …

A Sombatmai, V Uthaisangsuk, S Wongwises… - Materials & Design, 2021 - Elsevier
Various manufacturing defects are known to have significant impact on the mechanical
properties of lattice structures. Therefore, defects-embedded FE models are essential for …

Micro-fabrication of ceramics: Additive manufacturing and conventional technologies

H Hassanin, K Essa, A Elshaer, M Imbaby… - Journal of advanced …, 2021 - Springer
Ceramic materials are increasingly used in micro-electro-mechanical systems (MEMS) as
they offer many advantages such as high-temperature resistance, high wear resistance, low …

Design optimization of additively manufactured titanium lattice structures for biomedical implants

MA El-Sayed, K Essa, M Ghazy, H Hassanin - The International Journal of …, 2020 - Springer
A key advantage of additive manufacturing (AM) is that it allows the fabrication of lattice
structures for customized biomedical implants with high performance. This paper presents …