Share Email Print
cover

Proceedings Paper

Beam arrangement on two-dimensional temperature reconstruction based on laser absorption spectroscopy
Author(s): Junling Song; Yanji Hong; Hu Pan; Guangyu Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Using the laser absorption spectroscopy and algebraic iterative reconstruction methods, two-dimensional (2D) temperature distribution has been reconstructed with irregular beam distribution. The reconstruction accuracy strongly depends on the beam distribution. Therefore, an optimal design of the beam arrays can reduce the experimental cost and maximize the beam potentiality. This paper introduces the grid weight factor (GridWF) to evaluate the beam distribution relating to the discrete region. The error of the reconstruction is less than 15% using optimal beam distribution, which is lower than the results of non-optimization. As an increase in the number of emitters, the error can be obviously reduced. Two H2O absorption transitions (7205.25 cm −1 and 7416.05 cm−1) are adopted in the simulation. The 2D temperature reconstruction with optimal beam distribution and different number of emitters are demonstrated, showing the optimal design of the beam array having excellent reconstructed performance.

Paper Details

Date Published: 11 September 2013
PDF: 9 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89070K (11 September 2013); doi: 10.1117/12.2031034
Show Author Affiliations
Junling Song, State Key Lab. of Laser Propulsion and Application (China)
Yanji Hong, State Key Lab. of Laser Propulsion and Application (China)
Hu Pan, State Key Lab. of Laser Propulsion and Application (China)
Guangyu Wang, State Key Lab. of Laser Propulsion and Application (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

© SPIE. Terms of Use
Back to Top