[HTML][HTML] Additive manufacturing in construction: A review on processes, applications, and digital planning methods

A Paolini, S Kollmannsberger, E Rank - Additive manufacturing, 2019 - Elsevier
The application of additive manufacturing (AM) in construction has been increasingly
studied in recent years. Large robotic arm-and gantry-systems have been created to print …

[HTML][HTML] Mechanistic models for additive manufacturing of metallic components

HL Wei, T Mukherjee, W Zhang, JS Zuback… - Progress in Materials …, 2021 - Elsevier
Additive manufacturing (AM), also known as 3D printing, is gaining wide acceptance in
diverse industries for the manufacturing of metallic components. The microstructure and …

Microstructure modelling for metallic additive manufacturing: a review

JHK Tan, SL Sing, WY Yeong - Virtual and Physical Prototyping, 2020 - Taylor & Francis
The microstructure of metals depends on the additive manufacturing (AM) process and the
process parameters. However, experimentation on different process parameters for different …

Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing

W Yan, S Lin, OL Kafka, Y Lian, C Yu, Z Liu… - Computational …, 2018 - Springer
Additive manufacturing (AM) possesses appealing potential for manipulating material
compositions, structures and properties in end-use products with arbitrary shapes without …

Hot cracking evolution and formation mechanism in 2195 Al-Li alloy printed by laser powder bed fusion

S Wu, Z Lei, B Li, J Liang, Y Chen - Additive Manufacturing, 2022 - Elsevier
Al-Li alloys printed by laser powder bed fusion (LPBF) have huge potential for industrial
application due to their remarkable advantages. However, the high hot cracking …

Computational modelling of process–structure–property–performance relationships in metal additive manufacturing: a review

SM Hashemi, S Parvizi… - International …, 2022 - journals.sagepub.com
In the current review, an exceptional view on the multi-scale integrated computational
modelling and data-driven methods in the Additive manufacturing (AM) of metallic materials …

Exercising hybrid statistical tools GA-RSM, GA-ANN and GA-ANFIS to optimize FDM process parameters for tensile strength improvement

S Deshwal, A Kumar, D Chhabra - CIRP Journal of Manufacturing Science …, 2020 - Elsevier
The properties of functional parts printed by additive manufacturing are highly dependent on
various process parameters of the machine. The process parameters can be optimized by …

Very-high-cycle fatigue behavior of Ti-6Al-4V manufactured by selective laser melting: Effect of build orientation

G Qian, Y Li, DS Paolino, A Tridello, F Berto… - International Journal of …, 2020 - Elsevier
The effect of building orientation on the very-high-cycle fatigue (VHCF) response of Ti-6Al-
4V specimens produced through selective laser melting (SLM) process with three different …

The case for digital twins in metal additive manufacturing

DR Gunasegaram, AB Murphy… - Journal of Physics …, 2021 - iopscience.iop.org
The digital twin (DT) is a relatively new concept that is finding increased acceptance in
industry. A DT is generally considered as comprising a physical entity, its virtual replica, and …

A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing

H Ko, Y Lu, Z Yang, NY Ndiaye, P Witherell - Journal of Manufacturing …, 2023 - Elsevier
Abstract Data analytics with Machine Learning (ML) using physics knowledge and big data
offers high potential to continuously transform raw data to newfound knowledge of Process …