燃烧流场温度二维重建多吸收谱线重建方法
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  • 英文篇名:2D reconstruction of combustion flow field temperature based on multiple absorption lines
  • 作者:宋俊玲 ; 饶伟 ; 王广宇 ; 辛明原
  • 英文作者:Song Junling;Rao Wei;Wang Guangyu;Xin Mingyuan;State Key Laboratory of Laser Propulsion & Application, Department of Aerospace Science and Technology,Space Engineering University;
  • 关键词:可调谐半导体激光吸收光谱 ; 二维重建 ; 吸收谱线 ; 燃烧流场 ; 温度
  • 英文关键词:tunable diode laser absorption spectroscopy;;2D reconstruction;;absorption lines;;combustion flow field;;temperature
  • 中文刊名:HWYJ
  • 英文刊名:Infrared and Laser Engineering
  • 机构:航天工程大学宇航科学与技术系激光推进及其应用国家重点实验室;
  • 出版日期:2018-12-04 15:07
  • 出版单位:红外与激光工程
  • 年:2019
  • 期:v.48;No.293
  • 基金:国家自然科学基金(61505263,61505262)
  • 语种:中文;
  • 页:HWYJ201903013
  • 页数:7
  • CN:03
  • ISSN:12-1261/TN
  • 分类号:101-107
摘要
可调谐半导体激光层析技术可以实现对燃烧流场温度和组分浓度的二维分布测量。提出了一种基于多条吸收谱线组合的燃烧场温度二维重建方法,该方法利用每条吸收谱线对温度的敏感度不同,采取优化组合的方式得到每组吸收谱线对最佳的重建温度区域。文中使用四条H2O吸收谱线,模拟了温度在300~1 500 K范围时高斯分布和随机分布温度二维重建,比较了采用双线法和多条吸收谱线组合方法的温度重建结果。结果表明:采用吸收谱线组合方法和双线法的温度重建误差分别为0.039 6和0.095 2,吸收谱线组合方法可以有效提高重建结果质量。在实际工程应用中,当可以提前预估流场温度重建范围的情况,采用文中提出的多条吸收谱线组合方法可以二维重建结果质量。
        2 D distribution measurement on temperature and concentration of combustion flow field can be obtained by tunable diode laser absorption tomography technique. A new method using multiple absorption lines to reconstruct 2 D temperature distribution was developed. In the method, different lines were combined based on the property of temperature sensitivity. And the area interested were reconstructed by the line pairs which were optimal for the temperature. In this paper, four H2 O lines were selected to reconstruct the temperature distribution using Gauss and random models in a range of 300-1 500 K. The simulation results show that the new method improves the reconstruction quality with reconstructed error of 0.039 6 comparing with two-line thermometry of 0.095 2. In engineering application, the multiple absorption lines combination optimization method can effectively improve the reconstruction quality when the temperature range of the area of interest can be predicted.
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