Results 41 to 50 of about 2,532 (142)

Atmospheric Corrosion Protection of LPBF Manufactured AlSi10Mg by Combining SiOx‐CVD and PDMS Grafting

Materials and Corrosion, EarlyView.
Hybrid SiOₓ‐CVD/PDMS ultrathin films mitigate atmospheric corrosion of additively manufactured AlSi10Mg. Electrochemical analyses show reduced corrosion currents, increased charge‐transfer resistance, and suppressed pitting due to diminished cathodic activity and limited oxygen and ion transport under NaCl exposure.
Tim Prüßner, Kay‐Peter Hoyer, Nadine Buitkamp, Guido Grundmeier   +3 more
wiley   +1 more source

Microstructural evolution of V‐Ti‐B based high‐temperature alloys during surface conditioning by means of laser beam melting Entwicklung der Gefüge von V‐Ti‐B‐Hochtemperatur‐Legierungen während der Oberflächenmodifikation mittels selektivem Laserstrahlschmelzen

Materialwissenschaft und Werkstofftechnik, EarlyView.
This study explores laser beam melting (LBM) on V‐Ti‐B alloys for high‐temperature applications. By applying two laser power levels, researchers analyzed microstructural evolution via scanning electron microscopy and energy dispersive spectroscopy. Hardness tests revealed surface conditioning increases of 5 % ‐ 33 %.
M. Carrion Saldaña, W. Yang, G. Hasemann, H.‐J. Christ, R. Schwaiger, M. Krüger, B. Gorr, A. von Hehl   +7 more
wiley   +1 more source

Research status of laser powder bed fusion Al–Li alloys and its improvement measures

Journal of Materials Research and Technology
Laser powder bed fusion (LPBF) Al–Li alloy technology demonstrates adaptability to the development requirements of structural complexity and functional integration, making it a promising area of research in additive manufacturing for the aerospace ...
Li Li, Xiankai Meng, Hongmei Zhang, Pengfei Li, Shu Huang, Jianzhong Zhou   +5 more
doaj   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Influence of Spatter on Porosity, Microstructure, and Corrosion of Additively Manufactured Stainless Steel Printed Using Different Island Size

Crystals
Specimens of 316 L stainless steel were printed using laser powder bed fusion (LPBF), a popular metal additive manufacturing (AM) technique, with varying island sizes.
Venkata Bhuvaneswari Vukkum, Taylor Sanborn, John Shepherd, Sourabh Saptarshi, Rakesh Basu, Timothy Horn, Rajeev Kumar Gupta   +6 more
doaj   +1 more source

Tailoring Laser Powder Bed Fusion and Post‐Processing Parameters for JIS SKD61 Tool Steels: Surface Roughness, Microstructure, and Mechanical Properties

steel research international, EarlyView.
Laser powder bed fusion of JIS SKD61 tool steel is systematically optimized using a Taguchi design and ANOVA. Hatch spacing and layer thickness are identified as dominant parameters controlling surface roughness and tensile strength. Subsequent tempering at 600°C improves microstructural stability and mechanical performance, enabling high‐density SKD61
Masrurotin Masrurotin, Andi Ard Maidhah, Maziar Ramezani, Wojciech Macek, Cho‐Pei Jiang   +4 more
wiley   +1 more source

Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion process

Virtual and Physical Prototyping
Growing demand for multi-material Laser Powder Bed Fusion (LPBF) faces process control and quality monitoring challenges, particularly in ensuring precise material composition.
Vigneashwara Pandiyan, Antonios Baganis, Roland Axel Richter, Rafał Wróbel, Christian Leinenbach   +4 more
doaj   +1 more source

Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion

Artificial Intelligence for Engineering, EarlyView.
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley   +1 more source

Recent advance in laser powder bed fusion of Ti–6Al–4V alloys: microstructure, mechanical properties and machinability

Virtual and Physical Prototyping
Laser powder bed fusion (LPBF) of titanium alloys has demonstrated significant potential in high-value-added fields such as aerospace and biomedical. However, the highly non-stationary thermal history and inherent limitations of the LPBF process lead to ...
Chenbing Ni, Junjie Zhu, Baoguo Zhang, Kai An, Youqiang Wang, Dejian Liu, Wei Lu, Lida Zhu, Changfu Liu   +8 more
doaj   +1 more source

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

Advanced Functional Materials, Volume 36, Issue 45, 5 June 2026.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari, Gokul Bhaskaran, Krishan Kumar, Yun Suk Huh, Young‐Kyu Han   +4 more
wiley   +1 more source