[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …

SAV Dananjaya, VS Chevali, JP Dear, P Potluri… - Progress in Materials …, 2024 - Elsevier
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …

A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing

J Liu, J Ye, D Silva Izquierdo, A Vinel… - Journal of Intelligent …, 2023 - Springer
Laser beam powder bed fusion (LB-PBF) is a widely-used metal additive manufacturing
process due to its high potential for fabrication flexibility and quality. Its process and …

Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions

Z Wang, W Yang, Q Liu, Y Zhao, P Liu, D Wu… - Journal of Manufacturing …, 2022 - Elsevier
A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …

Prediction of the interpass temperature of a wire arc additive manufactured wall: FEM simulations and artificial neural network

FWC Farias, J da Cruz Payão Filho… - Additive Manufacturing, 2021 - Elsevier
Finite element method (FEM) simulations are a powerful tool for understanding the thermal–
metallurgical–mechanical effects of wire arc additive manufacturing (WAAM). Nonetheless …

Comparative analysis and experimental validation of statistical and machine learning-based regressors for modeling the surface roughness and mechanical …

I La Fé-Perdomo, JA Ramos-Grez, I Jeria… - Journal of Manufacturing …, 2022 - Elsevier
This article analyzes the surface roughness and mechanical properties of 316L samples
produced by Selective Laser Melting (SLM) through the application of statistical regression …

Machine learning in tissue engineering

JL Guo, M Januszyk, MT Longaker - Tissue Engineering Part A, 2023 - liebertpub.com
Machine learning (ML) and artificial intelligence have accelerated scientific discovery,
augmented clinical practice, and deepened fundamental understanding of many biological …

Influence of geometric defects on the compression behaviour of thin shell lattices fabricated by micro laser powder bed fusion

L Zhang, J Lifton, Z Hu, R Hong, S Feih - Additive Manufacturing, 2022 - Elsevier
Micro laser powder bed fusion (μLPBF) is an additive manufacturing process enabling the
fabrication of thin-walled metallic shell lattices at the micrometre scale. With wall thicknesses …

Geometric deviation and compensation for thin-walled shell lattice structures fabricated by high precision laser powder bed fusion

J Ding, S Qu, L Zhang, MY Wang, X Song - Additive Manufacturing, 2022 - Elsevier
With the continuous improvement in the precision of the laser powder bed fusion (LPBF)
process, printing parts with highly complex geometries and fine details has been realized …

[HTML][HTML] High stiffness topology optimised lattice structures with increased toughness by porosity constraints

S Daynes - Materials & Design, 2023 - Elsevier
The stiffness and toughness of topology optimised structures containing lattices under three-
point bending is studied. A porosity constraint is introduced to control the proportion of lattice …

[HTML][HTML] The process planning for additive and subtractive hybrid manufacturing of powder bed fusion (PBF) process

Y Wang, Y Chen, C Wen, K Huang, Z Chen, B Han… - Materials & Design, 2023 - Elsevier
Additive and subtractive hybrid manufacturing (ASHM) technology has attracted extensive
attention in industry and academia because of its vast design freedom and surface accuracy …