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) …

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

M Middlehurst, P Schäfer, A Bagnall - Data Mining and Knowledge …, 2024 - Springer
In 2017, a research paper (Bagnall et al. Data Mining and Knowledge Discovery 31 (3): 606-
660.) compared 18 Time Series Classification (TSC) algorithms on 85 datasets from the …

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 …

Applications of machine learning in process monitoring and controls of L-PBF additive manufacturing: A review

D Mahmoud, M Magolon, J Boer, MA Elbestawi… - Applied Sciences, 2021 - mdpi.com
One of the main issues hindering the adoption of parts produced using laser powder bed
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …

An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing

Z Shi, AA Mamun, C Kan, W Tian, C Liu - Journal of Intelligent …, 2023 - Springer
Additive manufacturing (AM) has gained increasing popularity in a large variety of mission-
critical fields, such as aerospace, medical, and transportation. The layer-by-layer fabrication …

A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting

J Li, Q Zhou, L Cao, Y Wang, J Hu - Journal of Manufacturing Systems, 2022 - Elsevier
Selective laser melting (SLM) is an emerging and popular metal additive manufacturing
(AM) technique to fabricate advanced metal components with complex geometries …

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 …

[HTML][HTML] Laser beam powder bed fusion of nitinol shape memory alloy (SMA)

MA Obeidi, M Monu, C Hughes, D Bourke… - journal of materials …, 2021 - Elsevier
This study is focused on the 3D printing of NiTi shape memory alloy (SMA) in cuboidal
shaped samples via the Laser Powder Bed Fusion (L-PBF) process using a dissimilar …

[HTML][HTML] Comparison of the porosity and mechanical performance of 316L stainless steel manufactured on different laser powder bed fusion metal additive …

MA Obeidi, SMU Mhurchadha, R Raghavendra… - Journal of Materials …, 2021 - Elsevier
Despite the recent progress in additive manufacturing (AM) process and technology,
challenges in the repeatability and reproducibility of AM parts still hinders the adoption of …