钨渗铜复合材料热锻处理及组织性能研究
Research on Hot Forging Processing and Microstructure Properties of Tungsten Infiltrated Copper Composite Materials
宋德学 1王毅 2张义飞 3李攀科 3王超4
作者信息
- 1. 郑州航空工业管理学院机械工程学院,河南 郑州 450046
- 2. 郑州航空工业管理学院机械工程学院,河南 郑州 450046;空基信息感知与融合全国重点实验室,河南 洛阳 471009
- 3. 空基信息感知与融合全国重点实验室,河南 洛阳 471009;中国空空导弹研究院,河南 洛阳 471009
- 4. 浙江五洲新春集团股份有限公司,浙江 绍兴 312500
- 折叠
摘要
[目的]解决钨渗铜复合材料中钨晶粒的异常生长和气孔等缺陷,提高钨铜合金的力学性能.[方法]对钨渗铜材料进行了热锻(HF)处理,研究了热锻处理对合金组织性能的影响.[结果]结果表明,热锻后钨渗铜复合材料孔隙减少,钨相和铜相的分布更加均匀,W-W邻接度降低,硬度由298 HV提升至338 HV,摩擦磨损系数由0.45降低至0.28.热锻温度为700℃时,钨渗铜复合材料拉伸性能最优,其室温抗拉性能度增长48.06%,高温抗拉强度显著提升.[结论]热锻能有效改善钨渗铜材料的组织,提高其力学性能.
Abstract
[Purposes]This paper aims to address the abnormal growth of tungsten grains and defects such as pores in tungsten infiltrated copper composite materials,and to improve the mechanical proper-ties of tungsten copper alloys.[Methods]Hot forging(HF)treatment was performed on tungsten infil-trated copper materials,and the influence of hot forging treatment on the alloy's microstructure and prop-erties was investigated.[Findings]The results showed that hot forging reduced the porosity of the tungsten-infiltrated copper composite material,resulting in a more even distribution of tungsten and cop-per phases.The W-W interconnection decreased,and the hardness increased from 298 HV to 338 HV.The friction coefficient decreased from 0.45 to 0.28.When the hot forging temperature was 700℃,the tensile properties of the tungsten-infiltrated copper composite material were optimized,with a 48.06％increase in room temperature tensile strength and a significant improvement in high temperature tensile strength.[Conclusions]Hot forging can effectively improve the structure of tungsten infiltrated copper materials and enhance their mechanical properties.
关键词
钨渗铜复合材料/热锻/力学性能/高温抗拉强度Key words
tungsten-copper alloy/hot forging/mechanical properties/high temperature tensile strength引用本文复制引用
基金项目
河南省科技攻关计划项目(202102210209)
河南省重点研发专项项目(221111230700)
航空科学基金(20220001055003)
河南省高等学校重点科研项目(23A590002)
郑州航院研究生教育创新计划基金(2023CX63)
出版年
2024
NETL
NSTL
万方数据