Eutectic high-entropy alloys and their applications in materials processing engineering: A review

J Liu, Z Li, D Lin, Z Tang, X Song, P He, S Zhang… - Journal of Materials …, 2024 - Elsevier
Eutectic high-entropy alloys (EHEAs), combining the advantages of both eutectic alloys and
high-entropy alloys (HEAs), possess good castability and superior comprehensive …

Defect sensitivity and fatigue design: Deterministic and probabilistic aspects in AM metallic materials

X Niu, C He, SP Zhu, P Foti, F Berto, L Wang… - Progress in Materials …, 2024 - Elsevier
Fatigue performance in both traditional and additively manufactured materials is severely
affected by the presence of defects, which deserve special attention to ensure the in-service …

[HTML][HTML] Machine learning for advancing laser powder bed fusion of stainless steel

W Abd-Elaziem, S Elkatatny, TA Sebaey… - Journal of Materials …, 2024 - Elsevier
In the dynamic landscape of advanced manufacturing, the confluence of laser powder bed
fusion (LPBF) and machine learning (ML) has recently garnered significant attention in many …

Unveiling the layer-wise dynamics of defect evolution in laser powder bed fusion: Insights for in-situ monitoring and control

X Chen, W Liao, J Yue, T Liu, K Zhang, J Li, T Yang… - Additive …, 2024 - Elsevier
Lack of fusion (LOF) defects can significantly affect the mechanical properties of components
manufactured by laser powder bed fusion (LPBF). The layer-wise evolution of LOF defects is …

An overview of traditional and advanced methods to detect part defects in additive manufacturing processes

VV Bhandarkar, HY Shahare, AP Mall… - Journal of Intelligent …, 2024 - Springer
Abstract Additive manufacturing (AM) or 3-dimensional (3D) printing processes have been
adopted in several industrial sectors including aerospace, automotive, medical, architecture …

A comprehensive review of recent advances in laser powder bed fusion characteristics modeling: metallurgical and defects

SF Nabavi, H Dalir, A Farshidianfar - The International Journal of …, 2024 - Springer
This comprehensive review explores recent advancements in laser powder bed fusion
(LPBF) modeling, with a particular focus on metallurgical, temperature, and defect aspects …

Single-track investigation of additively manufactured mold steel with larger layer thickness processing: Track morphology, melt pool characteristics and defects

Y Xu, Y Zhang, X Li, Y Zhong, K Lin, B Liao… - Optics & Laser …, 2024 - Elsevier
Large layer thickness is essential to increase building rate, but excessive layer thickness
easily lead to defects which negatively affect component quality. The evolution of track …

[HTML][HTML] Processing defect, microstructure evolution and mechanical properties of laser powder bed fusion Al-12Si alloys

W Wang, Y Zhang, C Yue, X Kong, Z Hao… - Journal of Materials …, 2023 - Elsevier
The laser power and scan speed are significant processing parameters influencing the
defects and microstructures due to affecting the thermal state within the melt pool during …

[HTML][HTML] Cryogenic tensile behavior of carbon-doped CoCrFeMnNi high-entropy alloys additively manufactured by laser powder bed fusion

H Park, H Kwon, KT Kim, JH Yu, J Choe, H Sung… - Additive …, 2024 - Elsevier
Cryogenic tensile behaviors of carbon-doped CoCrFeMnNi high-entropy alloy (C-HEA)
printed by laser powder bed fusion (LPBF) were systematically explored. The LPBFed C …

[HTML][HTML] Roles of Modeling and Artificial Intelligence in LPBF Metal Print Defect Detection: Critical Review

S Wahlquist, A Ali - Applied Sciences, 2024 - mdpi.com
The integration of LPBF printing technologies in various innovative applications relies on the
resilience and reliability of parts and their quality. Reducing or eliminating the factors …