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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 76, 2019 - Issue 8
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Original Articles

Computational domain lap model for micro-nano scale radiative heat transfer

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Pages 664-682 | Received 22 Apr 2019, Accepted 12 Jul 2019, Published online: 29 Jul 2019
 

Abstract

In this work, a new model is built to discuss the lap method in the radiative calculation of micro-nano materials. The model aims to solve larger-scale radiative problems by the electromagnetic method using numerical calculation. The entire two-dimensional calculated areas are successively divided into several sub-areas. The new areas called lap areas are set to consider the near effects between the calculated areas and to obtain the light transport information applied in the next part. The two lap methods have been applied to calculate the semitransparent fibrous materials arranged in different structures, such as medium properties, particle interval, and distribution size of lap areas. Within the selected spectral, the lap areas are shown useful to obtain the more accurate final results except for certain special wavelengths such as 2 μm, which are related to the energy distribution of the light on the source interfaces. The final result of the lap method exhibited a deviation of approximately 2% in 4 μm, but poor results in shorter wavelengths. The paper shows the results of the lap method and analyzes the errors with the exact value. It is found that the lap method can consider two adjacent particles’ effects in most wavelength.

Conflict of interest

No conflict of interest exit in the submission of the manuscript, and manuscript is approved by all authors for publication. I declare that the work was original research that has not been published before. All the authors have approved the manuscript that is enclosed.

Acknowledgments

The authors thank everyone who contributed to this work, and a very special acknowledgement is made to the editors and reviewers whose constructive comments have improved the present manuscript.

Additional information

Funding

This work is funded by the National Natural Science Foundation of China (EQ: 51776052 and EQ: 51676055).

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