Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jinbo Gu"'
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 2464-2477 (2024)
This work developed a new high toughness 5% Cr martensitic hot working die steel (GYDCK-20), which exhibits better thermal stability and thermal fatigue resistance than AISI H13 steel. The concrete study involves: conducting on the evolution of micro
Externí odkaz:
https://doaj.org/article/a6a6633e1f074f009bd48cf9b1d6e6af
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36521- (2024)
The corrosion resistance of M390 powder metallurgical martensitic stainless steel with different tempering temperatures was investigated by potentiodynamic polarization measurements, salt spray tests, and microstructural analyses utilizing scanning e
Externí odkaz:
https://doaj.org/article/8c8f6b7767d44f128832d31dcdf5fde8
Publikováno v:
Metals, Vol 14, Iss 4, p 477 (2024)
The microstructures throughout a 696 × 1360 mm cross-section of an ISO 1.2738 prehardened steel block for a plastic mold were characterized via optical and electron microscopy and electron backscatter diffraction. The hardness, strength, and polishi
Externí odkaz:
https://doaj.org/article/f04d936aaab64abbb35203ba362b8cab
Publikováno v:
Materials, Vol 17, Iss 2, p 308 (2024)
The effect of N content on the microstructure and wear resistance of 4Cr13 corrosion-resistant plastic mold steel were investigated by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, and tribometer. The results show
Externí odkaz:
https://doaj.org/article/546864e1a87b4777bb55587cbdef6d4d
Publikováno v:
Metals, Vol 7, Iss 8, p 310 (2017)
The microstructure and strengthening-toughening mechanism of a modified 4Cr5Mo2V hot-working die steel with nitrogen (0.08% N) were investigated using hardness and toughness measurements, optical microscopy, scanning electron microscopy, X-ray diffra
Externí odkaz:
https://doaj.org/article/f206366597ee4226b58e10158b9d1d09
Publikováno v:
Journal of Materials Science. 57:22119-22139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82915182c9c82e4ffc64ffa36a79872
https://doi.org/10.1007/s10853-022-08004-y
https://doi.org/10.1007/s10853-022-08004-y
Publikováno v:
Journal of Materials Science. 57:2053-2072
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcd5a437b03a90914df7274745937433
https://doi.org/10.1007/s10853-021-06622-6
https://doi.org/10.1007/s10853-021-06622-6
Publikováno v:
Ironmaking & Steelmaking. 49:311-321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e708f12a73493f0bf568d052e0c53e5f
https://doi.org/10.1080/03019233.2021.1994514
https://doi.org/10.1080/03019233.2021.1994514
With the improvement of medical consumption level, patients have more and more demand for the prediction of treatment costs. However, the prediction accuracy of existing research methods is low when the amount of data is small. In order to solve this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2173c482483a02dda60e139e1e7218ea
https://doi.org/10.22541/au.164864671.14103887/v1
https://doi.org/10.22541/au.164864671.14103887/v1
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::121086bd1832baefe9e88c00945d0bed
https://doi.org/10.2139/ssrn.3998831
https://doi.org/10.2139/ssrn.3998831