钒基氧化物雷达与红外隐身材料研究进展
Research progress on vanadium-based oxide radar and infrared stealth materials
雷达与红外隐身材料对于提升装备隐身性能具有重要意义,近年来,钒基氧化物因其独特的热致相变特性、优异的红外辐射调制能力在雷达与红外隐身领域展现出广阔的应用前景。本文从多组分设计、结构调控、元素掺杂改性 3 个维度,系统阐述了二氧化钒(VO2)、三氧化二钒(V2O3)、五氧化二钒(V2O5)基隐身材料的性能优化方法及机制。此外,本文提出了钒基氧化物隐身材料研究未来的 5 大关键发展方向:(1)新型异质结构设计,通过结构调控设计克服钒基氧化物固有缺陷以增强隐身性能;(2)人工智能辅助材料设计,将利用机器学习建模成分-结构-性能关系,精准预测性能参数以缩短材料研发周期;(3)多元损耗机制协同优化,旨在耦合电导损耗、介电损耗与磁损耗实现协同增强,最大化提升隐身性能;(4)复杂界面表征,针对价态丰富导致的复杂界面,强化界面表征以揭示复合体系吸波机理;(5)宽频段自适应隐身,基于热致相变特性,开发兼具宽频段与自适应响应的隐身材料。
Radar and infrared stealth materials play a crucial role in enhancing the stealth performance of equipment. In recent years,vanadium-based oxides have shown broad application prospects in the field of radar and infrared stealth due to their unique thermochromic phase transition properties and excellent infrared radiation modulation capabilities. This paper summarizes the research progress of vanadium-based oxide radar and infrared stealth materials at home and abroad. From three dimensions of multi-component design,structural regulation and element doping modification,it systematically elaborates on the performance optimization methods and mechanisms of vanadium dioxide,vanadium trioxide and vanadium pentoxide-based stealth materials. Furthermore,this paper proposes five key directions for future research on vanadium-based oxide stealth materials:(1) the design of new heterostructure,which aims to overcome the inherent defects of vanadium-based oxides through structural regulation to enhance stealth performance;(2) artificial intelligence-assisted material design,which will utilize machine learning to model the composition-structure-performance relationships and accurately predict performance parameters,thereby shortening the material development cycle;(3) the synergistic optimization of multiple loss mechanisms,intended to couple conductive loss,dielectric loss and magnetic loss for synergistic enhancement,maximizing the improvement of stealth performance;(4) the characterization of complex interfaces,which focuses on strengthening interface characterization to reveal the wave-absorbing mechanism of composite systems in view of the complex interfaces caused by rich valence states;(5) broadband adaptive stealth,which involves developing stealth materials with both broadband and adaptive response capabilities based on thermally induced phase transition characteristics.
| [1] |
|
| [2] |
|
| [3] |
桑建华,周海. 飞行器表面电磁缺陷及雷达吸波材料应用[J].航空材料学报,2003,23(2):51-55. |
| [4] |
|
| [5] |
孙敏,张雨. 隐身材料测试技术[M]. 北京:化学工业出版社,2014. |
| [6] |
郭锦程,任素娥,陈彦飞. 高温红外隐身材料研究进展[J].材料工程,2025,53(1):45-54. |
| [7] |
|
| [8] |
陈宇方,马国伟,周永江, |
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
李尧,卢怡,曹文斌. W 掺杂二氧化钒的水热晶化机理及其相变性能[J].材料工程,2017,45(11):58-65. |
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
刘顺华,刘军民,董星龙. 电磁波屏蔽及吸波材料[M]. 北京:化学工业出版社,2014. |
| [18] |
张玉龙,李萍,石磊. 隐身材料[M]. 北京:化学工业出版社,2018. |
| [19] |
彭智慧,曹茂盛,袁杰, |
| [20] |
|
| [21] |
陈旭生,李九生. 缺陷组合嵌入 VO2 薄膜结构的可调太赫兹吸收器[J].物理学报,2020,69(2):233-239. |
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
付宇,王洋,蔡明. 气凝胶/纤维复合材料的热学和力学性能以及界面相容性的研究进展[J].材料工程,2023,51(11):1-13. |
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
潘志浩. VO2/环氧树脂复合材料的设计制备及其智能调频吸波性能研究[D]. 开封:河南大学,2024. |
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
文娇,李介博,孙井永, |
| [47] |
|
| [48] |
|
| [49] |
冯利利,刘一曼,姚琳, |
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
马创,王振,王新宇, |
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
程红飞,黄大庆. 多频谱兼容隐身材料研究进展[J].航空材料学报,2014,34(5):93-99. |
| [72] |
|
| [73] |
|
| [74] |
|
| [75] |
|
| [76] |
|
| [77] |
|
| [78] |
|
| [79] |
|
| [80] |
|
| [81] |
|
| [82] |
|
| [83] |
|
| [84] |
|
| [85] |
|
| [86] |
|
| [87] |
|
| [88] |
张圣斌,左敦稳,卢文壮, |
| [89] |
|
| [90] |
张圣斌,左敦稳,卢文壮, |
| [91] |
|
| [92] |
|
| [93] |
|
| [94] |
|
| [95] |
|
| [96] |
|
| [97] |
|
| [98] |
|
| [99] |
|
| [100] |
|
/
| 〈 |
|
〉 |