Zobrazeno 1 - 10
of 944
pro vyhledávání: '"Xu ZhiFeng"'
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 3, Pp 105-115 (2023)
The microstructure, densification and bending properties of domestic three-dimensional five-directional M55JCf/Al composites at room temperature and 350 ℃ were studied. The results show that the density of domestic three-dimensional five-directiona
Externí odkaz:
https://doaj.org/article/9dc07544ee724f3d9c5fda7f5a0df1bc
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 2, Pp 90-97 (2023)
Three-dimensional braided Cf/Al composites prepared by vacuum pressure infiltration method have good mechanical properties and great potential in aerospace applications. In this paper, the three-dimensional braided Cf/Al composites were taken as the
Externí odkaz:
https://doaj.org/article/b334fac704df45c59f1381bf0d91504d
Publikováno v:
Journal of Aeronautical Materials, Vol 42, Iss 3, Pp 80-88 (2022)
Using aluminum alloy ZL301 as matrix and carbon fiber laminated suture fabric as reinforcement, carbon fiber reinforced aluminum matrix (Cf/Al) composites with laminated stitch were prepared by vacuum pressure infiltration process. Through the drop h
Externí odkaz:
https://doaj.org/article/545c995439114480b07dbf5bf55d0d8b
Publikováno v:
Journal of Aeronautical Materials, Vol 42, Iss 2, Pp 73-82 (2022)
2.5D woven Cf/Al composites were fabricated by vacuum-assisted pressure infiltration method. Thermal shrinkage behavior and residual stress of the composites were investigated using micromechanical analysis and experimental method. The thermal expans
Externí odkaz:
https://doaj.org/article/1d17c031fcfe492f86d85ce852cd4049
Publikováno v:
Complexity, Vol 2020 (2020)
Road link speed is one of the important indicators for traffic states. In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First,
Externí odkaz:
https://doaj.org/article/ebadfec5c04e49a2aa914b67ff4ffb84
Deep neural network (DNN) typically involves convolutions, pooling, and activation function. Due to the growing concern about privacy, privacy-preserving DNN becomes a hot research topic. Generally, the convolution and pooling operations can be suppo
Externí odkaz:
http://arxiv.org/abs/2403.00239
Publikováno v:
E3S Web of Conferences, Vol 257, p 01040 (2021)
Pipe-laying cables have been widely used in the urban power transmission grid. The ampacity of the pipe-laying cables is affected by the thermal conductivity of the filling material, the ratio of the filling material and other factors. For this part
Externí odkaz:
https://doaj.org/article/5ff57768923b4ac1aace0e2304cfcd7a
Publikováno v:
China Foundry, Vol 11, Iss 3, p 151-156 (2014)
Baozhu sand particles with size between 75 μm and 150 μm were coated by resin with the ratio of 1.5 wt.% of sands. Laser sintering experiments were carried out to investigate the effects of laser energy density (E = P/v), with different laser power
Externí odkaz:
https://doaj.org/article/7d603e5047a4485cbfde419b9d3772b8
The automated interpretation and inversion of seismic data have advanced significantly with the development of Deep Learning (DL) methods. However, these methods often require numerous costly well logs, limiting their application only to mature or sy
Externí odkaz:
http://arxiv.org/abs/2302.06441
Recently, seismic facies classification based on convolutional neural networks (CNN) has garnered significant research interest. However, existing CNN-based supervised learning approaches necessitate massive labeled data. Labeling is laborious and ti
Externí odkaz:
http://arxiv.org/abs/2210.04776