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Flame Imaging Technology Based on 64-Pixel Area Array Sensor

Authors :
Xiaodong Huang
Xiaojian Hao
Baowu Pan
Xiaodong Liang
Zheng Wang
Shenxiang Feng
Pan Pei
Heng Zhang
Source :
Micromachines, Vol 15, Iss 1, p 44 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

High-resolution flame temperature images are essential indicators for evaluating combustion conditions. Tunable diode laser absorption spectroscopy (TDLAS) is an effective combustion diagnostic method. In actual engineering, due to the limitation of line-of-sight (LOS) measurement, TDLAS technology has the problems of small data volume and low dimensionality in measuring combustion fields, which seriously limits the development of TDLAS in combustion diagnosis. This article demonstrates a TDLAS imaging method based on a 64-pixel area array sensor to reconstruct the two-dimensional temperature field of the flame. This paper verifies the robustness of the Algebraic Reconstruction Technique (ART) algorithm through numerical simulation and studies the effects of temperature, concentration, and pressure on the second harmonic intensity based on the HITRAN database. The two-dimensional temperature field of the flame was reconstructed, and reconstruction accuracy was verified using thermocouples. The maximum relative error was 3.71%. The TDLAS detection system based on a 64-pixel area array sensor provides a way to develop high-precision, high-complexity flame temperature measurement technology.

Details

Language :
English
ISSN :
2072666X
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Micromachines
Publication Type :
Academic Journal
Accession number :
edsdoj.49d9d1206a04e9892ca557d69d58fc1
Document Type :
article
Full Text :
https://doi.org/10.3390/mi15010044