Results 11 to 20 of about 42,521 (134)

Microstructure and Mechanical Properties of Diffusion-Bonded CoCrNi-Based Medium-Entropy Alloy to DD5 Single-Crystal Superalloy Joint

Crystals, 2021
This study focuses on the diffusion bonding of a CoCrNi-based medium-entropy alloy (MEA) to a DD5 single-crystal superalloy. The microstructure and mechanical properties of the joint diffusion-bonded at variable bonding temperatures were investigated ...
Shiwei Li, Xianjun Sun, Yajie Du, Yu Peng, Yipeng Chen, Zhaoxi Li, Jiangtao Xiong, Jinglong Li   +7 more
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Improved Surface Wettability of Water by Applying SiC/Ti6Al4V Coatings on Carbon/Carbon Composites

Advances in Materials Science and Engineering, 2013
SiC/Ti6Al4V coatings were applied on carbon/carbon composites to improve the surface wettability of water. SiC interlayers were preprepared by pack cementation to bond both the carbon/carbon composites and the Ti6Al4V, and then the Ti6Al4V coatings were ...
Lei-Lei Zhang, He-Jun Li, Ke-Zhi Li, Yu-Lei Zhang, Jin-Hua Lu, Sheng Cao, Xue-Ni Zhao, Zi-Bo He   +7 more
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Observations on Nanoscale Te Precipitates in CdZnTe Crystals Grown by the Traveling Heater Method Using High Resolution Transmission Electron Microscopy

Crystals, 2018
Te precipitates in CdZnTe (CZT) crystals grown by the traveling heater method (THM) are investigated using high-resolution transmission electron microscopy (HRTEM).
Boru Zhou, Wanqi Jie, Tao Wang, Zongde Kou, Dou Zhao, Liying Yin, Fan Yang, Shouzhi Xi, Gangqiang Zha, Ziang Yin   +9 more
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3C-SiC Nanowires In-Situ Modified Carbon/Carbon Composites and Their Effect on Mechanical and Thermal Properties

Nanomaterials, 2018
An in-situ, catalyst-free method for synthesizing 3C-SiC ceramic nanowires (SiCNWs) inside carbon⁻carbon (C/C) composites was successfully achieved.
Hongjiao Lin, Hejun Li, Qingliang Shen, Xiaohong Shi, Tao Feng, Lingjun Guo   +5 more
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Lattice Strain and Surface Activity of Dislocation‐Distorted AgPd Nanoalloys Under Preoxidation and Catalysis Condition

Small Structures, 2023
Although line defects endow excellent catalytic performance by undercoordinated sites with compressive tensile strain, few studies have systematically unraveled the relationship between dislocation, strain, and electrochemical activity for formate ...
Junpeng Wang, Ke Li, Longfei Guo, Bowei Pan, Tao Jin, Zhen Li, Quan Tang, Fuyi Chen   +7 more
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Microstructure Evolution of a High Nb Containing TiAl Alloy with (α₂ + γ) Microstructure during Elevated Temperature Deformation

Metals, 2018
In order to verify the correctness of the transition of deformation mechanism with the change in deformation parameters and to reveal the types and mechanism of dynamic recrystallization of γ grains during compression deformation, microstructure ...
Yudong Chu, Jinshan Li, Lei Zhu, Yan Liu, Bin Tang, Hongchao Kou   +5 more
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Microstructure on remelting interface of Ni–W heterogeneous seed in preparing Ni-based single crystal superalloys

Journal of Materials Research and Technology, 2021
Ni–W heterogeneous seed was used to prepare the Ni-based single crystal superalloys and the microstructure at remelting interface under different conditions was analyzed.
Jiarun Qin, Wenchao Yang, Pengfei Qu, Chen Liu, Jun Zhang, Lin Liu   +5 more
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Investigation on the Thermal Deformation Behavior of the Nickel-Based Superalloy Strengthened by γ′ Phase

Crystals, 2019
The isothermal compression tests of the nickel-based superalloy Waspaloy were carried out under various temperatures from 1040 to 1120 °C and strain rates from 0.01 to 10 s−1 with the height reduction of 60% and the flow stress curves were obtained.
Haiping Wang, Dong Liu, Jianguo Wang, Yongzhao Shi, Yong Zheng, Yang Hu   +5 more
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Effect of Cold Rolling on the Phase Transformation Kinetics of an Al_0.5CoCrFeNi High-Entropy Alloy

Entropy, 2018
The solid state phase transformation kinetics of as-cast and cold rolling deformed Al0.5CoCrFeNi high-entropy alloys have been investigated by the thermal expansion method.
Jun Wang, Haoxue Yang, Tong Guo, Jiaxiang Wang, William Yi Wang, Jinshan Li   +5 more
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Fast and accurate prediction of adsorption energy of AgPd nanoalloys by deep learning potentials and neural networks

Scientific Reports
The accurate prediction of adsorption energy plays a crucial role in the design of efficient catalysts. However, the high-throughput prediction of adsorption energies based on first-principles methods presents significant challenges, hindering the rapid ...
Wanxuan Zhang, Shuang Shan, Fanzhe Ma, Xiaoqing Liu, Peng Xu, Fuyi Chen   +5 more
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