[HTML][HTML] Additive manufacturing of polymer nanocomposites: Needs and challenges in materials, processes, and applications

A Al Rashid, SA Khan, SG Al-Ghamdi, M Koç - Journal of Materials …, 2021‏ - Elsevier
Polymer nanocomposites have attracted increasing interest in research and development
with several current and potential industrial applications due to their wide margin of …

A critical review on effect of process parameters on mechanical and microstructural properties of powder-bed fusion additive manufacturing of ss316l

M Gor, H Soni, V Wankhede, P Sahlot, K Grzelak… - Materials, 2021‏ - mdpi.com
Additive manufacturing (AM) is one of the recently studied research areas, due to its ability to
eliminate different subtractive manufacturing limitations, such as difficultly in fabricating …

[HTML][HTML] Revealing relationships between porosity, microstructure and mechanical properties of laser powder bed fusion 316L stainless steel through heat treatment

T Ronneberg, CM Davies, PA Hooper - Materials & Design, 2020‏ - Elsevier
The understanding of relationships between processing, microstructure and mechanical
properties in laser powder bed fusion is currently incomplete. Microstructure-property …

A review of powder deposition in additive manufacturing by powder bed fusion

P Avrampos, GC Vosniakos - Journal of manufacturing processes, 2022‏ - Elsevier
One of the most important aspects of Powder Bed Fusion (PBF) processes is the powder
layer spreading. The powder layer needs to be applied in such a way that its evenness and …

Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review

A Bouabbou, S Vaudreuil - Virtual and Physical Prototy**, 2022‏ - Taylor & Francis
Selective laser melting (SLM) is the most used and versatile technique for additively
manufactured metallic parts. Due to its unique flexibility in enabling the fabrication of …

Analytical modeling of part porosity in metal additive manufacturing

J Ning, DE Sievers, H Garmestani, SY Liang - International Journal of …, 2020‏ - Elsevier
Porosity is a frequently observed defect in metal additive manufacturing due to the large
thermal gradients caused by the repeated rapid melting and solidification. This work …

Density prediction in powder bed fusion additive manufacturing: machine learning-based techniques

M Gor, A Dobriyal, V Wankhede, P Sahlot, K Grzelak… - Applied Sciences, 2022‏ - mdpi.com
Machine learning (ML) is one of the artificial intelligence tools which uses past data to learn
the relationship between input and output and helps to predict future trends. Powder bed …

Effect of post-heat treatment cooling on microstructure and mechanical properties of selective laser melting manufactured austenitic 316L stainless steel

S Waqar, J Liu, Q Sun, K Guo, J Sun - Rapid Prototy** Journal, 2020‏ - emerald.com
Purpose This paper aims to investigate the influence of different post-annealing cooling
conditions, ie furnace cooling (heat treatment (HT) 1–slow cooling) and air cooling (HT 2 …

Review of quality issues and mitigation strategies for metal powder bed fusion

JM Ravalji, SJ Raval - Rapid Prototy** Journal, 2022‏ - emerald.com
Purpose Selective laser melting and electron beam melting processes are well-known for
the additive manufacturing of metal parts. Metal powder bed fusion (MPBF) is a common …

Analytical modeling of lack-of-fusion porosity in metal additive manufacturing

J Ning, W Wang, B Zamorano, SY Liang - Applied Physics A, 2019‏ - Springer
This work presents a physics-based analytical modeling methodology for the prediction of
the lack-of-fusion porosity in powder bed metal additive manufacturing (PBMAM) …