Results 231 to 240 of about 755,169 (324)

Study on the bonding behavior of concrete-filled aluminum alloy tube. [PDF]

Sci Rep
Liu FL, Wang JX, Gao S.
europepmc   +1 more source

Impact of Iron Contamination on Liquid Properties and Microstructural Evolution in AlSi20

Advanced Engineering Materials, EarlyView.
Recycled aluminum is much more energy conservative and sustainable than primary aluminum. However, the iron contamination in secondary aluminum is vastly responsible for the degradation of the material properties. Herein, it is aimed to evaluate the influence of iron contamination in hypereutectic Al–Si alloy through thermodynamic as well as ...
Layla Shams Tisha, Anastasiya Toenjes, Nils Ellendt   +2 more
wiley   +1 more source

Microstructure Evolution and Mechanical Properties of Dual-Phase AlCrFe₂Ni₂ High-Entropy Alloy Under High-Strain-Rate Compression. [PDF]

Materials (Basel)
Yan H, Wang Y, Gan X, Dong Y, Liu S, Duan S, Mao L.   +6 more
europepmc   +1 more source

Influence of Cooling Rate on Primary Silicon Size in Hypereutectic Al–Si Alloy Fabricated by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Al–Si alloys are particularly in demand for automotive and electronic applications, thanks to their excellent wear and thermal properties. Nevertheless, when processed by conventional methods with low cooling rates, the coarse primary Si phases are responsible for increasing brittleness and inducing crack propagation.
Layla Shams Tisha, Daniel Knoop, Nils Ellendt, Anastasiya Toenjes   +3 more
wiley   +1 more source

V-Ti-Based Solid Solution Alloys for Solid-State Hydrogen Storage. [PDF]

Nanomicro Lett
Shen S, Li Y, Ouyang L, Zhang L, Zhu M, Liu Z.   +5 more
europepmc   +1 more source

IV. On the influence of temperature on the electric conducting-power of alloys

Augustus Matthiessen, August Christoph Carl Vogt   +1 more
openalex   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

Advanced Engineering Materials, EarlyView.
This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen, Felix Arendt, Hansjörg Bornhöft, Andréa S. S. de Camargo, Joachim Deubener, Andreas Diegeler, Shravya Gogula, Altair T. Contreras Jaimes, Sebastian Kempf, Martin Kilo, René Limbach, Ralf Müller, Rick Niebergall, Zhiwen Pan, Frank Puppe, Stefan Reinsch, Gerhard Schottner, Simon Stier, Tina Waurischk, Lothar Wondraczek, Marek Sierka   +20 more
wiley   +1 more source