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 …

Machine Learning for industrial applications: A comprehensive literature review

M Bertolini, D Mezzogori, M Neroni… - Expert Systems with …, 2021 - Elsevier
Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

[HTML][HTML] Additive manufacturing of heat exchangers in aerospace applications: a review

F Careri, RHU Khan, C Todd, MM Attallah - Applied Thermal Engineering, 2023 - Elsevier
The current review is mainly focused on exploring Additive Manufacturing (AM) methods
suitable for the fabrication of complex-shaped compact Heat Exchangers (HXs) used in the …

[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

R McCann, MA Obeidi, C Hughes, É McCarthy… - Additive …, 2021 - Elsevier
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …

Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution

M Parsazadeh, S Sharma, N Dahotre - Progress in Materials Science, 2023 - Elsevier
Additive manufacturing facilitates producing of complex parts due to its design freedom in a
wide range of applications. Despite considerable advancements in additive manufacturing …

[PDF][PDF] A comprehensive review of nanomaterials: Types, synthesis, characterization, and applications

SS Salem, EN Hammad, AA Mohamed… - Biointerface Res. Appl …, 2022 - academia.edu
Nanotechnology has infiltrated all sectors due to its unique and evident impacts, which give
the scientific community numerous breakthroughs in the medical, agricultural, and other …

Technology mining: Artificial intelligence in manufacturing

G Zeba, M Dabić, M Čičak, T Daim, H Yalcin - … Forecasting and Social …, 2021 - Elsevier
The period of the fourth industrial revolution, called Industry 4.0, is characterized by new,
innovative technologies such as: Cloud Computing; the Internet of Things; the Industrial …

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 …

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 …

A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing

J Liu, J Ye, D Silva Izquierdo, A Vinel… - Journal of Intelligent …, 2023 - Springer
Laser beam powder bed fusion (LB-PBF) is a widely-used metal additive manufacturing
process due to its high potential for fabrication flexibility and quality. Its process and …