走向一个空间分辨,单端的TDLAS系统,用于描述气态物种的分布
C Hansemann1, M Bonarens1,2, J Emmert1
1Department of Mechanical Engineering, Reactive Flows and Diagnostics, Technical University of Darmstadt, Otto-Berndt-Str. 3, 64287, Darmstadt, Germany.
Scientific reports
|May 22, 2024
概括
这项研究引入了一种新的诊断方法,将光检测和测距 (LiDAR) 与可调节二极管激光吸收光谱 (TDLAS) 结合起来,以量化气体成分和温度. 该技术在光学访问和散射有限的环境中克服了挑战,并证明了对复杂的燃烧系统的有效性.
科学领域:
- * 工程 * 工程师 *
- * 频谱学 是一种光谱学.
- * 燃烧诊断系统使用
背景情况:
- *精确量化气体种类和温度分布在视线上对许多工业应用至关重要.
- *在工艺环境中光学访问和散射的有限性对传统的诊断方法构成重大挑战.
- *现有的技术难以应对复杂的场景,如固体燃料燃烧或空间分离的气体体积.
研究的目的:
- * 开发和演示一种新的诊断方法,用于在具有挑战性的环境中进行现场气体量化.
- *将飞行时间光检测和测距 (LiDAR) 与可调节二极管激光吸收光谱 (TDLAS) 结合起来,以提高空间分辨率.
- * 为了在散射介质和通过弱反射窗口的存在下进行测量.
主要方法:
- * 整合飞行时间LiDAR与TDLAS,扫描单个分子过渡线.
- * 结合技术的应用,用于对气体物种和温度的视线测量.
- *通过模拟研究和分离气体体积的实验性概念验证进行验证.
主要成果:
- * 联合LiDAR-TDLAS方法成功地在单一视线上量化了气体特性.
- * 在模拟场景中与分布式散射物体证明了适用性.
- *初步实验验证证了分析分离气体体积的可行性.
结论:
- *开发的LiDAR-TDLAS方法为光学上具有挑战性的工业环境中的气体诊断提供了强大的解决方案.
- * 这种技术提高了监控和控制涉及燃烧或复杂气体混合物的过程的能力.
- * 进一步的发展有望实现实时,非侵入性过程监控.
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