Results 41 to 50 of about 20,042,377 (298)
A novel Ti35.16Zr5.86Hf5.86Ni46.87Nb6.25 (at. %) high-entropy shape memory alloy (HESMA) is developed for applications in high-stress, high-temperature environments.
Rui Wang +7 more
doaj +1 more source
The effect of Ni-content on phase transformation behavior of NiTi-20 at. % Zr high temperature shape memory alloy (HTSMA) is investigated over a small composition range, i.e., 49.8, 50.0 and 50.2 at. % Ni, by differential scanning calorimetry (DSC), high-
Matthew Carl +3 more
doaj +1 more source
High temperature transformations of the Au7Cu5Al4 shape-memory alloy [PDF]
Abstract The β-phase of Au 7 Cu 5 Al 4 undergoes a reversible shape-memory phase transformation, however there has been some uncertainty regarding the crystal structure or structures of the parent phase. Here we show that, under equilibrium conditions, the parent phase possesses the L2 1 structure between its A p (about 79 °C) and ∼630 °C, and ...
Cortie, MB +5 more
openaire +3 more sources
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Development of High-Entropy Shape-Memory Alloys: Structure and Properties
Amongst functional materials, shape-memory alloys occupy a special place. Discovered in the beginning of 1960th in XX century, these alloys attracted quite an attention because of the possibility to restore significant deformation amounts at certain ...
G. S. Firstov, Yu. M. Koval, V. S. Filatova, V. V. Odnosum, G. Gerstein, and H. J. Maier
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Shape memory alloy actuators for active disassembly using ‘smart’ materials of consumer electronic products [PDF]
This paper reports the preliminary to current development of Shape Memory Alloy (SMA) actuators within their application in ‘Active Disassembly using Smart Materials’ (ADSM).
Jones, N +3 more
core +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
T i-V-Al alloys are a good candidates for lightweight high temperature shape memory alloys. Due to their excellent mechanical properties with low density, in industrial applications, there are widely used as high temperature shape memory alloys. However,
Semra Ergen
doaj +1 more source

