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 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 …

Laser powder bed fusion of nickel alloy 625: Experimental investigations of effects of process parameters on melt pool size and shape with spatter analysis

LE Criales, YM Arısoy, B Lane, S Moylan… - International Journal of …, 2017 - Elsevier
Laser powder bed fusion (L-PBF) as an metal additive manufacturing process that can
produce fully dense 3D structures with complex geometry using difficult-to-process metal …

Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities

Z Hu, S Mahadevan - The International Journal of Advanced …, 2017 - Springer
One of the major barriers that hinder the realization of significant potential of metal-based
additive manufacturing (AM) techniques is the variation in the quality of the manufactured …

Robust additive manufacturing performance through a control oriented digital twin

P Stavropoulos, A Papacharalampopoulos, CK Michail… - Metals, 2021 - mdpi.com
The additive manufacturing process control utilizing digital twins is an emerging issue.
However, robustness in process performance is still an open aspect, due to uncertainties …

Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework

X Wang, W Xiong - npj Computational Materials, 2020 - nature.com
During powder production, the pre-alloyed powder composition often deviates from the
target composition leading to undesirable properties of additive manufacturing (AM) …

Investigation of deep learning for real-time melt pool classification in additive manufacturing

Z Yang, Y Lu, H Yeung… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
Consistent melt pool geometry is an indicator of a stable laser powder bed fusion (L-PBF)
additive manufacturing process. Melt pool size and shape reflect the impact of process …

A review of model inaccuracy and parameter uncertainty in laser powder bed fusion models and simulations

T Moges, G Ameta, P Witherell - Journal of …, 2019 - asmedigitalcollection.asme.org
This paper presents a comprehensive review on the sources of model inaccuracy and
parameter uncertainty in metal laser powder bed fusion (L-PBF) process. Metal additive …

Additive manufacturing of functionally graded material objects: a review

B Zhang, P Jaiswal, R Rai… - … of Computing and …, 2018 - asmedigitalcollection.asme.org
Functionally graded materials (FGM) have recently attracted a lot of research attention in the
wake of the recent prominence of additive manufacturing (AM) technologies. The …

An efficient framework for printability assessment in laser powder bed fusion metal additive manufacturing

B Zhang, R Seede, L Xue, KC Atli, C Zhang, A Whitt… - Additive …, 2021 - Elsevier
Typically, the development of materials is intimately tied to the concurrent development of
manufacturing technologies especially suitable to that material. In the case of metal additive …