Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Zijun Qin"'
Autor:
Zijun Qin, Weifu Li, Zi Wang, Junlong Pan, Zexin Wang, Zihang Li, Guowei Wang, Jun Pan, Feng Liu, Lan Huang, Liming Tan, Lina Zhang, Hua Han, Hong Chen, Liang Jiang
Publikováno v:
Journal of Materials Research and Technology, Vol 21, Iss , Pp 1984-1997 (2022)
The strengthening phases characteristics in the alloy determine the mechanical properties of the alloy, but it is a hard task to predict the precipitation of complex alloys. In this work, we quickly detected 33,484 groups of Ni-based superalloys comp
Externí odkaz:
https://doaj.org/article/dd2f3dae305e4ae2b4f6d4eb744c93e2
Autor:
Zijun Qin, Zi Wang, Yunqiang Wang, Lina Zhang, Weifu Li, Jin Liu, Zexin Wang, Zihang Li, Jun Pan, Lei Zhao, Feng Liu, Liming Tan, Jianxin Wang, Hua Han, Liang Jiang, Yong Liu
Publikováno v:
Materials Research Letters, Vol 9, Iss 1, Pp 32-40 (2021)
Predicting the phase precipitation of multicomponent alloys, especially the Ni-base superalloys, is a difficult task. In this work, we introduced a dependable and efficient way to establish the relationship between composition and detrimental phases
Externí odkaz:
https://doaj.org/article/018e6d5462c6453c94557d55d8b2d7a4
Autor:
Liming Tan, Guowei Wang, Yu Guo, Qihong Fang, Zecheng Liu, Xiangyou Xiao, Wuqiang He, Zijun Qin, Yong Zhang, Feng Liu, Lan Huang
Publikováno v:
Virtual and Physical Prototyping, Vol 15, Iss S1, Pp 555-569 (2020)
With excellent radiation resistance and high temperature strength, the oxide dispersion strengthened (ODS) nickel-based superalloys are deemed as candidate materials for advanced fission and fusion reactor. Since conventional manufacturing processes
Externí odkaz:
https://doaj.org/article/c6e1d812ea78409d88f143167f971f57
Autor:
Yunqiang Wang, Mingming Lu, Zi Wang, Jin Liu, Lei Xu, Zijun Qin, Zexin Wang, Bingfeng Wang, Feng Liu, Jianxin Wang
Publikováno v:
Materials & Design, Vol 206, Iss , Pp 109747- (2021)
It becomes a common practice to adopt high-throughput experiments on superalloys, which can generate a large amount of data. To address this large amount of data, we designed a machine learning (ML) based model to automate the experimental analysis p
Externí odkaz:
https://doaj.org/article/64feec1d04584a4eab6b718088f31417
Publikováno v:
Materials & Design, Vol 188, Iss , Pp - (2020)
Oxide dispersion strengthened nickel-based superalloy (ODSN) is widely used in structural materials such as aerospace and nuclear industry, but its uniform dispersion distribution of particles makes it only necessary to manufacture using conventional
Externí odkaz:
https://doaj.org/article/ff156a6129da43ccb0e8360c134f3cae
Publikováno v:
Metals, Vol 12, Iss 3, p 381 (2022)
Sinter-hardening is an emerging powder metallurgy process by which the consolidation of powder and the hardening of dense bulk samples are integrated into one step. In this study, to understand the complex effects of sinter-hardening parameters on th
Externí odkaz:
https://doaj.org/article/531110a176024b7bbd433fb6c32e0e34
Publikováno v:
Metals, Vol 8, Iss 10, p 841 (2018)
Equal-channel angular pressing (ECAP) was performed on a Mg (6 wt %) Zn alloy at temperatures from 160 to 240 °C and the microstructures and mechanical properties were studied using optical microscopy, X-ray diffraction, scanning electron microscopy
Externí odkaz:
https://doaj.org/article/ae7232129908421791ceaf2d6f8f4586
Autor:
Zihang Li, Zexin Wang, Zi Wang, Zijun Qin, Feng Liu, Liming Tan, Xiaochao Jin, Xueling Fan, Lan Huang
Publikováno v:
Computer Modeling in Engineering & Sciences. 135:1521-1538
Autor:
He, Xinjie Shen, Zijun Qin, Peipei He, Xugang Ren, Yunjiao Li, Feixiang Wu, Yi Cheng, Zhenjiang
Publikováno v:
Coatings; Volume 13; Issue 6; Pages: 1038
LiFePO4 is a type of cathode material with good safety and long service life. However, the problems of the low Li ion diffusion rate and low electron conductivity limit the application of LiFePO4 in the field of electric vehicles. In this paper, FePO
Autor:
Zhonghe Wang, Yao Jiang, LuLi Feng, Zhenli He, Xiyue Kang, Linping Yu, Yuehui He, Zijun Qin, Qian Zhao, Yue Qiu, Haiyan Gao
Publikováno v:
SSRN Electronic Journal.