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 …

[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 and deep learning based predictive quality in manufacturing: a systematic review

H Tercan, T Meisen - Journal of Intelligent Manufacturing, 2022 - Springer
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

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 …

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 …

[HTML][HTML] Machine learning in predicting mechanical behavior of additively manufactured parts

S Nasiri, MR Khosravani - Journal of materials research and technology, 2021 - Elsevier
Although applications of additive manufacturing (AM) have been significantly increased in
recent years, its broad application in several industries is still under progress. AM also …

Review on residual stress in selective laser melting additive manufacturing of alloy parts

ZC Fang, ZL Wu, CG Huang, CW Wu - Optics & Laser Technology, 2020 - Elsevier
The undesirable residual stress accumulated in the parts during the melting and
solidification of the metal powder layer by layer retards the further application of the selective …

Integration of Lean practices and Industry 4.0 technologies: smart manufacturing for next-generation enterprises

M Shahin, FF Chen, H Bouzary… - The International Journal of …, 2020 - Springer
Industry 4.0 technologies have attempted to transform current industrial settings to a level
that we have never seen before. While at the same time, prevailing applications of Lean …

In-Process monitoring of porosity during laser additive manufacturing process

B Zhang, S Liu, YC Shin - Additive Manufacturing, 2019 - Elsevier
This paper describes a deep-learning-based method for porosity monitoring in laser additive
manufacturing process. A high-speed digital camera was mounted coaxially to the process …

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 …