A straightforward spectral emissivity estimating method based on constructing random rough surfaces

Zezhan Zhang; Mengchao Chen; Lichuan Zhang; Hongzu Li; Hairui Huang; Zilong Zhang; Peifeng Yu; Yi Niu; Shan Gao; Chao Wang; Jing Jiang

doi:10.1038/s41377-023-01312-1

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A straightforward spectral emissivity estimating method based on constructing random rough surfaces

Original Articles

- A straightforward spectral emissivity estimating method based on constructing random rough surfaces
- Light: Science & Applications Vol. 12, Issue 12, Pages: 2577-2588(2023)
- Affiliations：
  
  1.Clean Energy Materials and Engineering Center, School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
  2.College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
  3.Department of Precision Instrument, Tsinghua University, Beijing, China
- Author bio：
  
  Yi Niu (niuyi@uestc.edu.cn)
  Shan Gao (gaoshan08@hrbeu.edu.cn)
  Jing Jiang (jiangj@uestc.edu.cn)
- Funds：
- DOI：10.1038/s41377-023-01312-1
  CLC：
- Published：31 December 2023，
  
  Published Online：07 November 2023，
  
  Received：08 June 2023，
  
  Revised：05 October 2023，
  
  Accepted：21 October 2023
- Accepted：
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Zhang, Z. Z. et al. A straightforward spectral emissivity estimating method based on constructing random rough surfaces. Light: Science & Applications, 12, 2577-2588 (2023).
DOI：

Zhang, Z. Z. et al. A straightforward spectral emissivity estimating method based on constructing random rough surfaces. Light: Science & Applications, 12, 2577-2588 (2023). DOI： 10.1038/s41377-023-01312-1.

摘要

Abstract

Spectral emissivity is an essential and sensitive parameter to characterize the radiative capacity of the solid surface in scientific and engineering applications

which would be non-negligibly affected by surface morphology. However

there is a lack of assessment of the effect of roughness on emissivity and a straightforward method for estimating the emissivity of rough surfaces. This paper established an estimating method based on constructing random rough surfaces to predict rough surface (Geometric region) emissivity for metal solids. Based on this method

the emissivity of ideal gray and non-gray body surfaces was calculated and analyzed. The calculated and measured spectral emissivities of GH3044

K465

DD6

and TC4 alloys with different roughness were compared. The results show that the emissivity increases with the roughness degree

and the enhancement effect weakens with the increase of roughness or emissivity due to the existing limit (emissivity ε = 1.0). At the same time

the roughness would not change the overall spectral distribution characteristics but may attenuate the local features of the spectral emissivity. The estimated results are in good agreement with the experimental data for the above alloys' rough surfaces. This study provides a new reliable approach to obtaining the spectral emissivity of rough surfaces. This approach is especially beneficial for measuring objects in extreme environments where emissivity is difficult to obtain. Meanwhile

this study promotes an understanding of surface morphology's effect mechanism on emissivity.

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Keywords

references

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