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

Zezhan Zhang1, Mengchao Chen1, Lichuan Zhang1

  • 1Clean Energy Materials and Engineering Center, School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.

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Summary
This summary is machine-generated.

Surface roughness significantly impacts spectral emissivity in metals. This study introduces a method to estimate emissivity for rough surfaces, showing it increases with roughness but approaches a limit of 1.0.

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Area of Science:

  • Materials Science
  • Thermodynamics
  • Surface Physics

Background:

  • Spectral emissivity is crucial for radiative properties of solids.
  • Surface morphology, specifically roughness, significantly affects emissivity.
  • A straightforward method for estimating rough surface emissivity is lacking.

Purpose of the Study:

  • To establish a method for predicting the spectral emissivity of rough metal surfaces.
  • To analyze the effect of surface roughness on emissivity.
  • To validate the proposed method with experimental data.

Main Methods:

  • Constructing random rough surfaces to model geometric regions.
  • Calculating and analyzing emissivity for ideal gray and non-gray bodies.
  • Comparing calculated and measured spectral emissivities of various metal alloys (GH3044, K465, DD6, TC4) with different roughness.

Main Results:

  • Emissivity increases with surface roughness.
  • The enhancement of emissivity due to roughness diminishes as roughness or emissivity approaches its limit (ε=1.0).
  • Roughness alters the magnitude but not the overall spectral distribution characteristics, potentially attenuating local spectral features.

Conclusions:

  • The developed method reliably estimates spectral emissivity for rough metal surfaces.
  • The findings enhance understanding of how surface morphology influences emissivity.
  • This approach is valuable for applications in extreme environments where emissivity measurement is challenging.