Tomography for two-dimensional gas temperature distribution based on TDLAS

Can Luo; Yunchu Wang; Fei Xing

doi:10.1117/12.2317520

5 March 2018 Tomography for two-dimensional gas temperature distribution based on TDLAS

Can Luo, Yunchu Wang, Fei Xing

Proceedings Volume 10710, Young Scientists Forum 2017; 107101H (2018) https://doi.org/10.1117/12.2317520
Event: Young Scientists Forum 2017, 2017, Shanghai, China

Abstract

Based on tunable diode laser absorption spectroscopy (TDLAS), the tomography is used to reconstruct the combustion gas temperature distribution. The effects of number of rays, number of grids, and spacing of rays on the temperature reconstruction results for parallel ray are researched. The reconstruction quality is proportional to the ray number. The quality tends to be smoother when the ray number exceeds a certain value. The best quality is achieved when η is between 0.5 and 1. A virtual ray method combined with the reconstruction algorithms is tested. It is found that virtual ray method is effective to improve the accuracy of reconstruction results, compared with the original method. The linear interpolation method and cubic spline interpolation method, are used to improve the calculation accuracy of virtual ray absorption value. According to the calculation results, cubic spline interpolation is better. Moreover, the temperature distribution of a TBCC combustion chamber is used to validate those conclusions.

Citation Download Citation

Can Luo, Yunchu Wang, and Fei Xing "Tomography for two-dimensional gas temperature distribution based on TDLAS", Proc. SPIE 10710, Young Scientists Forum 2017, 107101H (5 March 2018); https://doi.org/10.1117/12.2317520

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