Reconstruction of two-dimensional temperature field based on mesh optimization

Xuecong Zhang; Jing Cai; Hefang Yu

doi:10.1117/12.2644204

9 September 2022 Reconstruction of two-dimensional temperature field based on mesh optimization

Xuecong Zhang, Jing Cai, Hefang Yu

Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 1232814 (2022) https://doi.org/10.1117/12.2644204
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China

Abstract

Tunable diode laser absorption tomography (TDLAT) can reconstruct the non-uniform temperature field. Based on TDLAT, a two-dimensional temperature field reconstruction strategy for mesh optimization is proposed in this paper. Firstly, the temperature field is reconstructed once, the temperature distribution information of the field to be measured is extracted from the first reconstruction result, the meshing is optimized, and then the temperature field to be measured is reconstructed twice. The numerical simulation results show that the reconstruction error of the temperature field reconstruction results after meshing optimization is significantly improved compared with that before meshing optimization, and can better reflect the actual temperature distribution.

Citation Download Citation

Xuecong Zhang, Jing Cai, and Hefang Yu "Reconstruction of two-dimensional temperature field based on mesh optimization", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 1232814 (9 September 2022); https://doi.org/10.1117/12.2644204

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