Results 201 to 210 of about 1,295,202 (338)
In this study, how friction‐welding parameters (rotational speed, etc.) affect the morphology, distribution, and local thickness of the intermetallic compound layer (IMC‐layer) in friction‐welded steel‐aluminum hybrid components is investigated. In the results, it is shown that lower speeds (700 rpm) lead to a more uniform, thinner IMC‐layer (<0.5 μm),
Christoph Kahra+6 more
wiley +1 more source
On the optimal layout of (K<sub>p</sub> - C<sub>p</sub>)<sup>n</sup> into grid and certain structures. [PDF]
Vincy GC, Micheal DR.
europepmc +1 more source
Tangled Embeddings of One-Dimensional Continua [PDF]
D. R. McMillan, Harry Row
openalex +1 more source
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld+9 more
wiley +1 more source
A de-embedding method based on combining time and frequency domains. [PDF]
Zeng W, Wang Y, Wang Z.
europepmc +1 more source
Certain embedding problems of semigroups [PDF]
Takayuki Tamura, Nancy Graham
openalex +1 more source
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
Tokenized and continuous embedding compressions of protein sequence and structure. [PDF]
Lu AX+7 more
europepmc +1 more source
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]
Berger S, Hosters N, Möller M.
europepmc +1 more source