Additive manufacturing of tungsten, tungsten-based alloys, and tungsten matrix composites

SH Pan, GC Yao, YN Cui, FS Meng, C Luo, TQ Zheng… - Tungsten, 2023 - Springer
Tungsten (W) materials are gaining more and more attention due to the extended
applications of metallic systems in the extreme environments. Given W's unique …

[HTML][HTML] Incorporating non-linear effects in fast semi-analytical thermal modelling of powder bed fusion

SR Cooke, CW Sinclair, DM Maijer - Additive Manufacturing, 2024 - Elsevier
The usefulness of semi-analytical thermal models for predicting the connection between
process, microstructure and properties in powder bed fusion has been well illustrated in …

Digital twin temperature field prediction of laser powder bed fusion through proper orthogonal decomposition with radial basis function

X Peng, Z Chen, A Zhang, X Chen, Y Zhang - Materials Today …, 2024 - Elsevier
Digital Twin framework, integrated with in-situ sensing and physical simulation, can
significantly improve process productivity and product quality of Laser Powder Bed Fusion …

An improved POD-Galerkin method for rapid prediction of three-dimensional temperature field for an IGBT module

XY Feng, F Bai, H Ding, WQ Tao - International Communications in Heat …, 2024 - Elsevier
With the continuous improvement of power density and integration level of power devices,
the temperature prediction of power devices becomes increasingly crucial for reliable …

Regression Trees on Grassmann Manifold for Adapting Reduced-Order Models

X Liu, X Liu - AIAA Journal, 2023 - arc.aiaa.org
Low-dimensional and computationally less-expensive reduced-order models (ROMs) have
been widely used to capture the dominant behaviors of high-4dimensional systems. An …

Advancements and Perspectives in Additive Manufacturing of Tungsten Alloys and Composites: Challenges and Solutions

M Zarinejad, Y Tong, M Salehi, C Mu, N Wang, Y Xu… - 2024 - preprints.org
This review examines additive manufacturing for refractory tungsten (W) and its alloys. It
emphasizes the primary challenges and determining factors involved in additive …

Data-driven non-intrusive surrogate modeling and optimization of selective laser melting using machine learning methods

S Chaudhry - 2023 - espace.etsmtl.ca
The goal of the presented thesis is computational modeling and optimization of selective
laser melting (SLM), which is an additive manufacturing (AM) process, using data-driven non …