Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Shiyan Pan"'
Publikováno v:
Materials, Vol 15, Iss 2, p 537 (2022)
In this work, a multi-phase cellular automaton (CA) model is extended for the quantitative simulation of peritectic phase transition. First, the effects of cooling rate/supersaturation and temperature on the peritectic transformation kinetics in Fe-C
Externí odkaz:
https://doaj.org/article/774ce37ebb9c435fa83d8d7041bc3057
Effect of Ni-coated MoS2 on microstructure and tribological properties of (Cu−10Sn)-based composites
Publikováno v:
Transactions of Nonferrous Metals Society of China. 30:2480-2490
The (Cu−10Sn)−Ni−MoS2 composites, prepared by powder metallurgy, were studied for the effects of Ni-coated MoS2 on the microstructure, mechanical properties and lubricating properties. The mechanism of effects of Ni and MoS2 on the properties o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8859ece5f6f6f341b2e2ad78c64070f
https://doi.org/10.1016/s1003-6326(20)65394-8
https://doi.org/10.1016/s1003-6326(20)65394-8
Publikováno v:
Scripta Materialia. 178:207-210
A Gibbs energy balance (GEB) model for the ferrite (α)-to-austenite (γ) transformation is developed based on the mixed-mode concept and applied to study the isothermal α→γ transformation at the intercritical temperature of 760 °C in Fe-C-Mn an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d13bf55150a595d18dd8e7c6329a2583
https://doi.org/10.1016/j.scriptamat.2019.11.027
https://doi.org/10.1016/j.scriptamat.2019.11.027
Autor:
Meiling Dong, Shaodong Wu, Yuxin Liu, Shiyan Pan, Ting Yu, Lihong Yang, Lihua Lu, Hongwei Luo, Wenxin Zhang, Jin Chen, Simian Zhu, Yun Wang, Zhu Zeng
Publikováno v:
Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES).
A highly ordered surface enhanced Raman spectroscopy substrate based on TiO2-Ag nanotubes was prepared using simple and rapid electrochemical method. Its enhancement factor was measured up to 1.5 × 109 using rhodamine 6G probe.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56e203fc77cb58a98f324093b6fe7a33
https://doi.org/10.1364/sensors.2022.sm4e.7
https://doi.org/10.1364/sensors.2022.sm4e.7
Publikováno v:
Applied Physics A. 128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f332ca3c493dc4a760f6424e94bceb3f
https://doi.org/10.1007/s00339-021-05171-8
https://doi.org/10.1007/s00339-021-05171-8
Publikováno v:
Computational Materials Science. 166:210-220
A cellular automaton (CA) model, which is directly coupled with thermodynamic calculations based on the CALPHAD method, is developed for the simulation of ferrite (α)-austenite (γ) phase transformations involving the partitioning and long-range dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c5a0dc65ff7c5b7aaa15930e9c1889c
https://doi.org/10.1016/j.commatsci.2019.05.005
https://doi.org/10.1016/j.commatsci.2019.05.005
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8434-8449 (2024)
Intelligent interpretation of remote sensing images using deep learning is heavily reliant on large datasets, and models trained in one domain often struggle with crossdomain application. Pretraining the backbone network via masked image modeling can
Externí odkaz:
https://doaj.org/article/40924470fc254556ae7e946ff677a63b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3664-3673 (2024)
Semantic segmentation is a basic task in the interpretation of remote sensing images. Mainstream deep-learning-based semantic segmentation algorithms typically process images with small sizes. However, remote sensing images typically involve large ar
Externí odkaz:
https://doaj.org/article/3f08fd084f7f4a86bcb16f2ccdbdb8f3
Publikováno v:
The European Physical Journal E. 43
A two-dimensional multiphase cellular automaton (CA) model is proposed for the prediction of growth kinetics and microstructural evolution during peritectic transformation of Fe-C alloys. The proposed model is validated by comparing the simulation re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3954d5bde1ffb0d7bddd2651a73ddec4
https://doi.org/10.1140/epje/i2020-11939-x
https://doi.org/10.1140/epje/i2020-11939-x
Autor:
B.W. Krakauer, David N. Seidman, Sung Il Baik, Dong An, Dieter Isheim, Shiyan Pan, Mingfang Zhu
Publikováno v:
Metallurgical and Materials Transactions A. 50:436-450
The temporal evolution of microstructures and carbon distributions in a Fe-0.323C-1.231Mn-0.849Si (mol pct) dual-phase steel during heat treatments are simulated using a two-dimensional cellular automaton model. The model involves austenite nucleatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdb18e80accd8ad9a1305189b9587e3d
https://doi.org/10.1007/s11661-018-4975-7
https://doi.org/10.1007/s11661-018-4975-7