Results 191 to 200 of about 3,520,724 (372)
Advanced Engineering Materials, EarlyView.Additive manufacturing is a promising route for the production of Ni‐base superalloys for turbine applications, such as Inconel 718. Nonetheless, it induces various changes in the microstructure and performance of these materials. One such change is the incidence of the δ‐Ni3Nb phase, whose impact on microstructure, aging precipitate fractions, and ...
Guilherme Maziero Volpato +8 more
wiley +1 more source
The structure of some crystals as indicated by their diffraction of X-rays
, 1913 W. L. Bragg
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DETERMINATION OF CRYSTAL STRUCTURES BY MEANS OF ANOMALOUSLY SCATTERED X-RAYS [PDF]
, 1956 R. Pepinsky, Y. Okaya
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Advanced Engineering Materials, EarlyView.This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel +7 more
wiley +1 more source
The crystal structure of the hydrochloride and hydrobromide of the dihydrotriazine metabolite of proguanil [PDF]
, 1954 Mark Bailey
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Advanced Engineering Materials, EarlyView.Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek +7 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker +5 more
wiley +1 more source
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning [PDF]
arXivComputational prediction of stable crystal structures has a profound impact on the large-scale discovery of novel functional materials. However, predicting the crystal structure solely from a material's composition or formula is a promising yet challenging task, as traditional ab initio crystal structure prediction (CSP) methods rely on time-consuming ...
arxiv