Densification and microstructure formation mechanisms of 80 W-14Ni-6Fe fabricated by laser powder bed fusion

H Ye, Y Huang, C Wei, Y Liu - Journal of Alloys and Compounds, 2022 - Elsevier
Tungsten heavy alloys (WHAs) are typically refractory alloy, and machining tungsten alloy
components at room temperature is a challenge. Currently, Laser additive manufacturing …

Numerical and Experimental Characterization of Melt Pool in Laser Powder Bed Fusion of SS316l

A Khan, SHI Jaffery, SZ Hussain, Z Anwar… - Integrating Materials and …, 2023 - Springer
Laser powder bed fusion (LPBF), also called selective laser melting, is an additive
manufacturing technology with great potential for creating three-dimensional metallic …

Investigation on Ti-6Al-4V microstructure evolution in selective laser melting

L Ding, Z Sun, Z Liang, F Li, G Xu, H Chang - Metals, 2019 - mdpi.com
Selective laser melting (SLM) is an advanced additive manufacturing technique that can
produce complex and accurate metal samples. Since the process performs local high heat …

Numerical prediction of lack-of-fusion defects in selective laser melted AlSi10Mg alloy

A Morvayová, N Contuzzi… - Materials Science and …, 2023 - journals.sagepub.com
Despite the emerging research, it is still troublesome to control the defect formation in
selective laser melted parts. In this paper, a mechano-thermo-fluid dynamical FEM model at …

Multifield modelling and failure prediction of cellular cores produced by selective laser melting

G Lampeas, I Diamantakos… - Fatigue & Fracture of …, 2019 - Wiley Online Library
A multifield simulation approach of cellular cores produced by additive manufacturing is
presented. The analysis is aiming to derive the relation between the manufacturing process …

Impacts of microsecond control in laser powder bed fusion processing

HC Taylor, RB Wicker - Additive Manufacturing, 2022 - Elsevier
Lasers used in standard metal Laser Powder Bed Fusion (LPBF) machines are focused at
the build plane with typical beam diameters less than 100 µm. This results in millions of …

Integrating data-driven system to predict temperature and distortion in multi-layer direct metal deposition processes

M Shafaie, M Sarparast, H Zhang - The International Journal of Advanced …, 2024 - Springer
This study proposed a framework to train an artificial neural network (ANN) by a data-driven
system to predict the temperature and distortion in multi-layer direct metal deposition (DMD) …

Evaluation and prediction of thermal defects in SLM-manufactured tibial components using FEM-based deep learning and statistic methods

PH Chung, JR Zhuang, CH Pan - The International Journal of Advanced …, 2024 - Springer
Selective laser melting (SLM) is crucial for fabricating complex geometries, such as the tibial
component of an artificial knee joint. However, its inherent high-temperature gradients often …

Convolutional LSTM based melt-pool prediction from images of laser tool path strategy in laser powder bed fusion for additive manufacturing

JM Park, M Choi, J Um - The International Journal of Advanced …, 2024 - Springer
As the importance of mass customization production is increasing, additive manufacturing
have been an emerging method of end-product process not only prototype production …

Solid-state phase transformation-induced residual stress in selective laser melting of martensitic stainless steel

Q Bai, Y Gao, B Wu, R Kang, J Li, Y Zhang - The International Journal of …, 2022 - Springer
Selective laser melting (SLM) is a promising technique for fabricating parts with complex
features. Residual stress in SLM is key challenge in terms of the geometric accuracy and …