Enhancing High-Temperature Strength and Thermal Stability of Al2O3/Al Composites by High-Temperature Pre-treatment of Ultrafine Al Powders

• 作者: Bo-Lv Xiao Dong Wang Guo-Nan Ma Quan-Zhao Wang Xiao-Nan Li Yang-Tao Zhou Yu-Ning Zan Zhen-Yu Liu Zong-Yi Ma
• 来源期刊: 金属学报（英文版）
• 年，卷（期）: 2020,（7）
• 页码范围: 913-921
• 页数: 9页
• 语种: 英文

摘要

Amorphous Al2O3-reinforced Al composite (am-Al2O3/Al) compacted from ultrafine Al powders for high-temperature usages confronts with drawbacks because crystallization of am-Al2O3 at high temperatures will result in serious strength loss.Aiming at this unsolved problem,in this study,high-temperature Al materials with enhanced thermal stability were developed through introducing more thermally stable nano-sized particles via high-temperature pre-treatment of ultrafine Al powders.It was found that the pre-treatment at≤ 550 ℃ could introduce a few Al2O3 in the Al matrix and increase the strength of the composites,but the strength was still below that of am-Al2O3/Al because without being pinned firmly,grain boundaries (GBs) were softened at high temperature and intergranular fracture happened.When the pre-treatment was carried out at 600 ℃,nitridation and oxidation processes happened simultaneously,producing large numbers of intergranular (A1N + γ-A12O3) particles.GB sliding and intergranular fracture were suppressed;therefore,higher strength than that of am-Al2O3/Al was realized.Furthermore,the (AlN + γ-Ai2O3)/Al exhibited more superior thermal stability compared to amAl2O3/Al for annealing treatment at 580 ℃ for 8 h.Therefore,an effective way to fabricate high-temperature Al composite with enhanced thermal stability was developed in this study.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Yu-Ning Zan	中国科学院金属研究所	1	0	0.0	0.0
2	Yang-Tao Zhou	中国科学院金属研究所	1	0	0.0	0.0
3	Xiao-Nan Li	中国科学院金属研究所	1	0	0.0	0.0
4	Guo-Nan Ma	中国科学院金属研究所	1	0	0.0	0.0
5	Zhen-Yu Liu	中国科学院金属研究所	1	0	0.0	0.0
6	Quan-Zhao Wang	中国科学院金属研究所	1	0	0.0	0.0
7	Dong Wang	中国科学院金属研究所	1	0	0.0	0.0
8	Bo-Lv Xiao	中国科学院金属研究所	2	0	0.0	0.0
9	Zong-Yi Ma	中国科学院金属研究所	2	0	0.0	0.0