[HTML][HTML] Architected cellular materials: A review on their mechanical properties towards fatigue-tolerant design and fabrication

M Benedetti, A Du Plessis, RO Ritchie… - Materials Science and …, 2021 - Elsevier
Additive manufacturing of industrially-relevant high-performance parts and products is today
a reality, especially for metal additive manufacturing technologies. The design complexity …

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 …

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 …

Emerging metallic systems for additive manufacturing: In-situ alloying and multi-metal processing in laser powder bed fusion

SL Sing, S Huang, GD Goh, GL Goh, CF Tey… - Progress in Materials …, 2021 - Elsevier
While significant progress has been made in understanding laser powder bed fusion (L-
PBF) as well as the fabrication of various materials using this technology, there is still limited …

Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review

Y Fu, ARJ Downey, L Yuan, T Zhang, A Pratt… - Journal of Manufacturing …, 2022 - Elsevier
Laser-based additive manufacturing (LBAM), a series of additive manufacturing
technologies, has unrivaled advantages due to its design freedom to manufacture complex …

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 …

Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control

S Kumar, T Gopi, N Harikeerthana, MK Gupta… - Journal of Intelligent …, 2023 - Springer
For several industries, the traditional manufacturing processes are time-consuming and
uneconomical due to the absence of the right tool to produce the products. In a couple of …

Comprehensive review of artificial neural network applications to pattern recognition

OI Abiodun, A Jantan, AE Omolara, KV Dada… - IEEE …, 2019 - ieeexplore.ieee.org
The era of artificial neural network (ANN) began with a simplified application in many fields
and remarkable success in pattern recognition (PR) even in manufacturing industries …

In-situ monitoring of sub-surface and internal defects in additive manufacturing: A review

Y AbouelNour, N Gupta - Materials & Design, 2022 - Elsevier
Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …

In-situ measurement and monitoring methods for metal powder bed fusion: an updated review

M Grasso, A Remani, A Dickins… - Measurement …, 2021 - iopscience.iop.org
The possibility of using a variety of sensor signals acquired during metal powder bed fusion
processes, to support part and process qualification and for the early detection of anomalies …