Zobrazeno 1 - 10
of 101
pro vyhledávání: '"J.X. Ren"'
Publikováno v:
Journal of Magnesium and Alloys, Vol 9, Iss 3, Pp 1039-1056 (2021)
The structural evolution from β1 (Mg3Ce) to β (Mg12Ce) precipitates, which takes place at the over-aged stage of binary Mg−Ce alloys, are investigated by high-angle annular dark-field scanning transmission electron microscopy. The structural tran
Externí odkaz:
https://doaj.org/article/dc8e51c503f74c098f09def0beaceb2e
Publikováno v:
Materials Letters. 326:132969
Publikováno v:
Materials Letters. 311:131616
Publikováno v:
Journal of Magnesium and Alloys, Vol 9, Iss 3, Pp 1039-1056 (2021)
The structural evolution from β1 (Mg3Ce) to β (Mg12Ce) precipitates, which takes place at the over-aged stage of binary Mg−Ce alloys, are investigated by high-angle annular dark-field scanning transmission electron microscopy. The structural tran
Akademický článek
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Publikováno v:
Journal of Alloys and Compounds. 877:160238
During the process of precipitation in aged magnesium rare earth (Mg–RE) alloys, the subsequent structural transformation of the β ″ precipitate is still controversial. In this study, the sequential precipitates of the β ″ were investigated i
Publikováno v:
Scripta Materialia. 194:113625
The basal precipitate is a category of the key precipitation strengthening phase in Mg-based alloys. In this study, a novel basal plate designated as γ ″ ′ in a Mg−Nd−Ca alloy is investigated by high-angle annular dark-field scanning transmi
Akademický článek
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Publikováno v:
Proceedings.
This paper proposes a new method for predicting sedimentary microfacies named MVF (Microfacies Versus Frequencies) that means the relationship between the microfacies and tuning frequencies. The method is based on the logging interpretation, electrof
Publikováno v:
Advances in Intelligent Systems Research.
Due to consider the gray level spatial distribution information, some image segmentation technologies based on entropy threshold can enhance the thresholding segmentation performance. However, they still cannot distinguish image edges and noise well.