Tailoring the spectral and directional emissivity of functionalized laser processed surfaces

被引:0
|
作者
Butler, Andrew [1 ]
Reicks, Andrew [1 ]
Alexander, Dennis [1 ]
Gogos, George [2 ]
Zuhlke, Craig [1 ]
Argyropoulos, Christos [3 ]
机构
[1] Univ Nebraska Lincoln, Dept Elect & Comp Engn, Lincoln, NE 68588 USA
[2] Univ Nebraska Lincoln, Dept Mech & Mat Engn, Lincoln, NE 68588 USA
[3] Penn State Univ, Dept Elect Engn, University Pk, PA 16803 USA
基金
美国国家科学基金会;
关键词
PASSIVE RADIATIVE COOLER; PHOTONIC STRUCTURES; REFRACTIVE-INDEX; TEMPERATURES; SILICON; WAVELENGTH; DESIGN; FILMS; OXIDE;
D O I
10.1364/JOSAB.533997
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Development of methods to control the directional and spectral characteristics of thermal radiation from metallic surfaces is a critical factor enabling many important thermal management applications. In this paper, we study the thermal emission properties of functionalized aluminum surfaces produced through femtosecond laser surface processing (FLSP). These types of surfaces have recently been found to exhibit near-unity broadband omnidirectional emissivity. However, their ultrabroadband absorption response includes visible and near-infrared (IR) radiation, in addition to the mid-IR range, which limits their use as daytime passive radiative cooling devices. Here, we present ways to solve this problem by demonstrating anew, to our knowledge, design that uses a dielectric Bragg visible light reflector to accurately control the thermal emission spectra of the FLSP surface with the goal of achieving high-performance daytime radiative cooling operation. In addition, we propose other designs based on dielectric multilayer structures to further tailor and control the spectra and thermal emission angles of the FLSP surfaces leading to narrowband and broadband directional thermal radiation. The presented photonic engineering approach combined with FLSP structures will be beneficial to various emerging applications, such as radiative cooling, thermal sensing, and thermophotovoltaics. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI)training, and similar technologies, are reserved.
引用
收藏
页码:2237 / 2246
页数:10
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