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 …

Powder Bed Fusion via Machine Learning‐Enabled Approaches

U Chadha, SK Selvaraj, AS Abraham, M Khanna… - …, 2023 - Wiley Online Library
Powder bed fusion (PBF) applies to various metallic materials used in the metal printing
process of building a wide range of complex parts compared to other AM technologies. PBF …

Numerical verification of an Octree mesh coarsening strategy for simulating additive manufacturing processes

C Li, ER Denlinger, MF Gouge, JE Irwin… - Additive Manufacturing, 2019 - Elsevier
Thermo-mechanical finite element modeling of additive manufacturing processes, such as
Directed Energy Deposition and Laser Powder Bed Fusion, has been widely applied for the …

Multi-fidelity surrogate-based process mapping with uncertainty quantification in laser directed energy deposition

N Menon, S Mondal, A Basak - Materials, 2022 - mdpi.com
A multi-fidelity (MF) surrogate involving Gaussian processes (GPs) is used for designing
temporal process maps in laser directed energy deposition (L-DED) additive manufacturing …

Speeding up mesoscale thermal simulations of powder bed additive manufacturing thanks to the forward Euler time-integration scheme: A critical assessment

S Essongue, Y Ledoux, A Ballu - Finite Elements in Analysis and Design, 2022 - Elsevier
This work addresses the mesoscale conduction-based modelling of Powder Bed Fusion for
metallic materials. The forward Euler (explicit) time integration strategy is thoroughly …

[HTML][HTML] Impact of track length, track shape, and track location on thermal distortion in laser powder bed fusion of IN625: Single laser vs. three lasers

R Raut, AK Ball, A Basak - Journal of Engineering Research, 2023 - Elsevier
Laser powder bed fusion is a popular additive manufacturing process for creating complex
metallic components. However, it has limitations in terms of build rate and component size …

[HTML][HTML] An enhanced finite element modelling based on self-regulation effect in directed energy deposition of Ti–6Al–4V

B Yao, X Lu, L Ma, N Kang, S Sui, H Tan… - Journal of Materials …, 2022 - Elsevier
Self-regulation effect (SRE) is a unique phenomenon in laser blown powder directed energy
deposition (DED), which can dynamically compensate the sloping deposition surface (within …

On accurate time integration for temperature evolutions in additive manufacturing

S Kollmannsberger, P Kopp - GAMM‐Mitteilungen, 2021 - Wiley Online Library
We investigate two numerical challenges in thermal finite element simulations of laser
powder bed fusion (LPBF) processes. First, we compare the behavior of first‐and second …

Design rules for additive manufacturing–understanding the fundamental thermal phenomena to reduce scrap

MR Yavari, KD Cole, PK Rao - Procedia Manufacturing, 2019 - Elsevier
The goal of this work is to predict the effect of part geometry and process parameters on the
direction and magnitude of heat flow‒heat flux‒in parts made using metal additive …

Fast simulation for powder bed fusion process based on thermal field pattern repetitions: application on electron beam melting process

Y Ledoux, S Ghaoui, A Ballu, C Grandvallet… - … International Journal of …, 2024 - Springer
This work addresses the fast macroscale modelling of powder bed fusion for metallic
materials. The main available approaches are analysed and applied on a typical benchmark …