Machine learning in additive manufacturing: State-of-the-art and perspectives

C Wang, XP Tan, SB Tor, CS Lim - Additive Manufacturing, 2020 - Elsevier
Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

Artificial intelligence in advanced manufacturing: Current status and future outlook

JF Arinez, Q Chang, RX Gao… - Journal of …, 2020 - asmedigitalcollection.asme.org
Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …

Key parameters controlling surface quality and dimensional accuracy: a critical review of FFF process

J Kechagias, D Chaidas, N Vidakis… - Materials and …, 2022 - Taylor & Francis
Fused filament fabrication (FFF) is an additive manufacturing process, which constructs
physical items by fused melt material, selectively deposited layer-by-layer through a heated …

Prediction of surface roughness in extrusion-based additive manufacturing with machine learning

Z Li, Z Zhang, J Shi, D Wu - Robotics and Computer-Integrated …, 2019 - Elsevier
Additive manufacturing (AM), also known as 3D printing, has been increasingly adopted in
the aerospace, automotive, energy, and healthcare industries over the past few years. While …

Data and knowledge mining with big data towards smart production

Y Cheng, K Chen, H Sun, Y Zhang, F Tao - Journal of Industrial Information …, 2018 - Elsevier
Driven by the innovative improvement of information and communication technologies
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …

Enabling technologies for operator 4.0: A survey

T Ruppert, S Jaskó, T Holczinger, J Abonyi - Applied sciences, 2018 - mdpi.com
The fast development of smart sensors and wearable devices has provided the opportunity
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …

In situ monitoring for fused filament fabrication process: A review

Y Fu, A Downey, L Yuan, A Pratt, Y Balogun - Additive Manufacturing, 2021 - Elsevier
Real-time monitoring of the additive manufacturing process offers the promise of
guaranteeing product quality and increasing the efficiency of the printing process. This …

Coupling hot melt extrusion and fused deposition modeling: Critical properties for successful performance

S Bandari, D Nyavanandi, N Dumpa… - Advanced drug delivery …, 2021 - Elsevier
Interest in 3D printing for pharmaceutical applications has increased in recent years.
Compared to other 3D printing techniques, hot melt extrusion (HME)-based fused deposition …

A review of machine learning applications in additive manufacturing

SS Razvi, S Feng, A Narayanan… - International …, 2019 - asmedigitalcollection.asme.org
Variability in product quality continues to pose a major barrier to the widespread application
of additive manufacturing (AM) processes in production environment. Towards addressing …

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 …