Results 121 to 130 of about 1,257,317 (293)
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
A lightweight machine learning-based melt pond extraction scheme for oblique shipborne imagery
High-resolution shipborne optical images can accurately capture the melt ponds on Arctic sea ice surfaces, serving as an important supplement to satellite remote sensing.
Jiaru Zhou +9 more
doaj +1 more source
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Automated surface melt detection over the Antarctic from Sentinel-1 imagery using deep learning
Surface melt plays a vital role in impacting the polar mass balance and global sea level rise. Over the past decades, synthetic aperture radar (SAR) imagery has garnered considerable attention due to its capacity to provide high-precision and long-term ...
Qi Zhu +6 more
doaj +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Crystallization refining of aluminum with a high content of impurities
This study presents the results of the crystallization refining of aluminum that contains high levels of iron (up to 3 wt%) and silicon (up to 0.5 wt%) impurities, which accumulate in electrolytic cells before major overhauls. A novel refining method for
Mikhail P. Kuz’min +1 more
doaj +1 more source
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
Evidence of partial melting and melt extraction in mafic granulites
The Ninth Symposium on Polar Science/Ordinary sessions: [OG] Polar Geosciences, Wed. 5 Dec.
openaire +1 more source
BIOTECHNOLOGICAL CHARACTERISTIC OF MELT CHEЕSЕ WITH EXTRACT OF ECHINACEA
А method of using extract of Echinacea purpurea in biotechnological process making melt cheеsе and its main technological characteristic were also studied.
PECHAR N.P., BUTSYAK V.I., GACHAK YU. R.
openaire +1 more source

