Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ze Chai"'
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 4099-4103 (2022)
The rather limited microstructural evolution in electrodeposited nanocrystalline Ni isothermally annealed at 453–493 K is investigated by using in situ X-ray diffraction technique. The nanostructural relaxation features roughly linear lattice contr
Externí odkaz:
https://doaj.org/article/7c5daa946a744569b9d75a8a834aebb8
Publikováno v:
Materials & Design, Vol 197, Iss , Pp 109214- (2021)
Directed energy deposition (DED) of Ni-based superalloys has wide applications in the fields of aviation, energy and power. However, for the non-weldable superalloys like Inconel 738, cracking frequently occurs during DED and cannot be thoroughly con
Externí odkaz:
https://doaj.org/article/71bb39411cbb408f8b977ab63de2015e
Autor:
Jing Zhang, Zhao-Xiang Luo, Xia Wu, Chen-Fei Gao, Peng-Yu Wang, Jin-Ze Chai, Miao Liu, Xin-Shan Ye, De-Cai Xiong
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Photochemical glycosylation has attracted considerable attention in carbohydrate chemistry. However, to the best of our knowledge, visible-light-promoted glycosylation via photoactive glycosyl donor has not been reported. In the study, we re
Externí odkaz:
https://doaj.org/article/6153b89a1c5142bc89bf2cd486534d86
Publikováno v:
Journal of Manufacturing Processes. 99:78-95
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 123:2575-2591
A reliable material removal rate (MRR) prediction method significantly optimizes the grinding surface quality and improves the processing efficiency for robotic abrasive belt grinding. Using worn-belt image features to predict MRR is a direct and rel
Autor:
Xukai Ren, Xiaokang Huang, Kaiyuan Gao, Luming Xu, Lufeng Li, Hengjian Feng, Xiaoqiang Zhang, Huabin Chen, Ze Chai, Xiaoqi Chen
Publikováno v:
The International Journal of Advanced Manufacturing Technology.
Publikováno v:
Journal of Materials Engineering and Performance. 31:3559-3569
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 119:3449-3468
Publikováno v:
Journal of Intelligent Manufacturing.
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 115:1763-1781
Robotic grinding of welds on freeform surfaces poses an increasing challenge to automatic generation of grinding trajectory while conventional teaching-playback mode and off-line programming method are ineffective. This paper proposes a novel feature