Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Bangfu Wang"'
Publikováno v:
Advances in Materials Science and Engineering, Vol 2019 (2019)
In this paper, micromilling was used to process the surface of single crystal silicon, and six different structural parameters of the grating structure were tested to get the contact angle in a different wettability. The contact angle obtained by the
Externí odkaz:
https://doaj.org/article/c8fd42d22a294834bb81d265219d1010
Publikováno v:
Micromachines, Vol 10, Iss 11, p 763 (2019)
The theoretical prediction models of contact angle were constructed by considering the interface free energy. Then, the square column structure on monocrystalline silicon was fabricated using micro-milling. The rationality of prediction models was va
Externí odkaz:
https://doaj.org/article/3299b2099bca4197ac63b4aadd242159
Publikováno v:
Applied Sciences, Vol 8, Iss 11, p 2284 (2018)
Face alignment is the key component for applications such as face and expression recognition, face based AR (Augmented Reality), etc. Among all the algorithms, cascaded-regression based methods have become popular in recent years for their low comput
Externí odkaz:
https://doaj.org/article/fa8496e8447443d1803db90dcbd17849
Publikováno v:
Journal of Physics: Conference Series. 2463:012022
The use of semiconductor photocatalysts to degrade organic pollutants and convert them into useful chemical energy is a promising technology to solve environmental problems. MoS2 and TiO2 have matching band structures. In this work, detailed characte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8255b1c480b180e567ac464ac81b63a
https://doi.org/10.1088/1742-6596/2463/1/012022
https://doi.org/10.1088/1742-6596/2463/1/012022
Publikováno v:
Diamond and Related Materials. 131:109559
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a196c9a3af0ccc58b6edef896d9d179
https://doi.org/10.1016/j.diamond.2022.109559
https://doi.org/10.1016/j.diamond.2022.109559
Autor:
Bangfu Wang, Juan Song
Publikováno v:
Coatings; Volume 12; Issue 12; Pages: 1856
In this paper, a femtosecond laser removal model of PMMA was built, and the surface primary and secondary microstructures of PMMA were fabricated. The surface morphology and wettability of the microstructures were measured and analyzed by an ultra-de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e684e16b3ee6b3314f3d0afa23ce9bb7
https://doi.org/10.3390/coatings12121856
https://doi.org/10.3390/coatings12121856
Publikováno v:
The Journal of Engineering. 2018:1712-1718
Face alignment could be widely used in face recognition, expression recognition, face-based AR applications etc. Cascaded-regression-based face alignment algorithms have been popular in recent years for their low computational costs and impressive re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f93c5b58a1a18c9bc80bf95bac3a52
https://doi.org/10.1049/joe.2018.8294
https://doi.org/10.1049/joe.2018.8294
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 232:3833-3842
In the feature extraction of mechanical fault detection field, manifold learning is one of the effective nonlinear techniques. In this paper, aiming for the situations of noise sensitivity to manifold learning algorithms, an improved Laplacian Eigenm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c7316d97d4d73f236a963f1e066cd6
https://doi.org/10.1177/0954406217743536
https://doi.org/10.1177/0954406217743536
Publikováno v:
Surface and Coatings Technology. 328:313-318
Equimolar ratio CrCuFexNiTi high-entropy alloy (HEA) coating was prepared by plasma cladding on Q235 steel substrate. The microstructure of the HEA coating was analyzed by SEM and XRD, and its microhardness distribution was tested by a microhardness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee59c9c69fae364b457cc36fa279f9f3
https://doi.org/10.1016/j.surfcoat.2017.08.019
https://doi.org/10.1016/j.surfcoat.2017.08.019
Publikováno v:
Journal of Mechanical Science and Technology. 31:3697-3703
A semi-supervised Laplacian Eigenmaps algorithm for machine fault detection is proposed. The purpose of the algorithm is to efficiently extract the manifold geometric characteristics of nonlinear vibration signal samples, and to determine fault class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72dcfd62d7b35172fdbdbc583f6e37cf
https://doi.org/10.1007/s12206-017-0712-1
https://doi.org/10.1007/s12206-017-0712-1