时效处理对激光熔覆Mo0.5NbTiVCr0.25高熵合金涂层显微组织和耐磨性能的影响
Effects of aging on micro structure and wear resistance of laser cladding Mo0.5NbTiVCr0.25 high-entropy alloy coating
何吉 1付华萌 2刘翠容 3朱正旺 2张龙 2李正坤 2李宏 2张海峰2
作者信息
- 1. 中国科学院金属研究所核材料与安全评价重点实验室,沈阳 110016;太原科技大学材料科学与工程学院,太原 030024;中国科学院金属研究所师昌绪先进材料创新中心,沈阳 110016
- 2. 中国科学院金属研究所核材料与安全评价重点实验室,沈阳 110016;中国科学院金属研究所师昌绪先进材料创新中心,沈阳 110016
- 3. 太原科技大学材料科学与工程学院,太原 030024
- 折叠
摘要
通过激光熔覆技术在TC4基体上制备难熔Mo0.5NbTiVCr0.25高熵合金涂层.涂层在600、800和1000 ℃下时效热处理24 h,然后水冷.采用X射线衍射(XRD)、扫描电子显微镜(SEM)、电子背散射衍射(EBSD)、透射电子显微镜(TEM)等技术、以及维氏硬度和万能摩擦磨损测试手段对高熵合金涂层的相组成、显微组织和力学性能进行研究.结果表明,高熵合金涂层经不同时效热处理后仍保持体心立方结构.经800℃时效热处理后,涂层含有富Ti沉淀相,通过TEM术证实其为Ti(O,N)面心立方结构.最佳时效温度为600 ℃,涂层硬度为HV0.2410.该涂层的磨损机制为黏着磨损和磨料磨损.
Abstract
Refractory Mo0.5NbTiVCr0.25 high-entropy alloy coatings were fabricated on TC4 substrates using laser cladding technology.The coatings were aged at 600,800 and 1000 ℃ for 24 h and then water-cooled.The phase composition,microstructure,and mechanical properties of the high-entropy alloy coatings were investigated using X-ray diffraction(XRD),scanning electron microscopy(SEM),electron backscattered diffraction(EBSD),transmission electron microscopy(TEM),Vickers hardness testing and universal friction wear testing.The results showed that high-entropy alloy coatings retained a body-centered cubic structure after different aging heat treatments.After the aging heat treatment at 800 ℃,the coatings exhibited Ti-rich precipitation phases,which were verified as Ti(O,N)face-centered cubic structures by TEM technique.The optimum aging temperature was 600 ℃ and the hardness of the coating was HV0.2 410.The wear mechanisms of the coatings were adhesive and abrasive wear.
关键词
Mo0.5NbTiVCr0.25合金/激光熔覆/难熔高熵合金/显微组织/时效/磨损Key words
Mo0.5NbTiVCr0.25 alloy/laser cladding/refractory high-entropy alloy/microstructure/aging/wear引用本文复制引用
基金项目
National Key Research and Development Program(2021YFA0716303)
Chinese Academy of Sciences of China(ZDBS-LY-JSC023)
Ling-Chuang Research Project of the China National Nuclear Corporation()
出版年
2024
NETL
NSTL
万方数据