Zobrazeno 1 - 10
of 96
pro vyhledávání: '"DIANGANG WANG"'
Autor:
Lishan Qi, Anfu Guo, Xunjin Li, Peng Qu, Shaoqing Wang, Shuai Guo, Chang Liu, Lu Wang, Lvfa Yin, Zhong Chen, Diangang Wang
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 347-361 (2024)
Honeycomb structures have been widely used in aerospace and automotive applications due to their high efficiency, high strength and high specific stiffness. However, most of the reported publications have focused on the surface shape variations of ho
Externí odkaz:
https://doaj.org/article/a5c82954998a4870ac7fbdf7f3f75e3a
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 3626-3630 (2022)
The appearance of the residual stress hole (RSH) phenomenon makes the otherwise perfect laser shock processing (LSP) method potentially defective. Residual compressive stress distribution appears in the areas irradiated by the laser beam while the ce
Externí odkaz:
https://doaj.org/article/9f159bfa8b6e47659aeac8dc9499cf25
Autor:
Qi, Lishan, Guo, Anfu, Li, Xunjin, Qu, Peng, Wang, Shaoqing, Guo, Shuai, Liu, Chang, Wang, Lu, Yin, Lvfa, Zhong Chen, Diangang Wang
Publikováno v:
In Journal of Materials Research and Technology September-October 2024 32:347-361
Autor:
Guoxin Lu, Xuekun Luo, Hao Li, Chao Zheng, Diangang Wang, Shuang Gao, Liang Lan, Xin Wang, Zhong Ji, Chuanzhong Chen
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 125:5651-5667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efee8d8c4dcc2e724dca9ec39d833e61
https://doi.org/10.1007/s00170-023-11089-7
https://doi.org/10.1007/s00170-023-11089-7
Autor:
Jiao Li, Jun Lin, Qingyuan Ma, Hanxiao Luan, Lihua Zhu, Ruqing Bai, Guiwei Dong, Diangang Wang, Yanjin Guan, Xiaocui Zhang
Publikováno v:
Coatings; Volume 13; Issue 4; Pages: 794
In this work, to investigate the physical vapor deposition (PVD)-deposited TiN coating on the TiN(001) substrate, the process was simulated using the molecular dynamics (MD) method with the 2NN-MEAM (nearest-neighbor modified embedded atom method) po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b6cd87cef8e3600b48871ebcf916e3
https://doi.org/10.3390/coatings13040794
https://doi.org/10.3390/coatings13040794
Publikováno v:
Metallography, Microstructure, and Analysis. 9:312-322
To obtain excellent properties in 7××× series aluminum alloys, the heat treatment process used is an important factor. This needs to be chosen according to the different alloy compositions. A 7××× series aluminum alloy with high zinc content (Z
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2202ef465121219baff715fdc8f32c95
https://doi.org/10.1007/s13632-020-00639-0
https://doi.org/10.1007/s13632-020-00639-0
Publikováno v:
Journal of Shenzhen University Science and Engineering. 36:245-251
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a64009151e1842608f2217a6ad5360c
https://doi.org/10.3724/sp.j.1249.2019.03245
https://doi.org/10.3724/sp.j.1249.2019.03245
Publikováno v:
2020 IEEE Sustainable Power and Energy Conference (iSPEC).
Aiming at the problems of many types of grid operation indicators, complex secondary indicators, and difficulty in qualitative or quantitative analysis, this paper proposes a grid operation indicator screening method based on mutual information with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ffee9f3d113dac62d7b03f491bcc38
https://doi.org/10.1109/ispec50848.2020.9350940
https://doi.org/10.1109/ispec50848.2020.9350940
Publikováno v:
2020 IEEE Sustainable Power and Energy Conference (iSPEC).
Smart grid operation data presents the characteristics of large amount of data, multiple types of data and rapid growth rate, which is not conducive to quantitative analysis of actual operation level of power grid. In order to quickly and effectively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::009413de8c783c5c59d4c554768beae4
https://doi.org/10.1109/ispec50848.2020.9351272
https://doi.org/10.1109/ispec50848.2020.9351272
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030642136
In order to remove the Gaussian noise in the image more effectively, a convolutional auto-encoder image denoising model combined with the perception module is proposed. The model takes the whole image as input and output, uses the concept module to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::502e8e7b8b27cb60e26ee885296c004a
https://doi.org/10.1007/978-3-030-64214-3_12
https://doi.org/10.1007/978-3-030-64214-3_12
