KEYWORDS: Temperature metrology, Quantum cascade lasers, Combustion, Sensors, Absorption, Spectroscopy, Laser spectroscopy, Optical engineering, Absorption spectroscopy, Signal to noise ratio
The development of temperature sensors with ultra-fast response, high sensitivity, and wide range of temperature is of important academic value for the study of flame structure and combustion characteristics under extreme conditions. Recently, tunable diode laser absorption spectroscopy (TDLAS) is developed rapidly as an important means of combustion diagnostics due to its outstanding characteristics, such as non-invasiveness, rapid response, and high realizability. The absorption lines of TDLAS are extended to the mid-infrared region. Two spectral lines of H2O at center wavelength of 2136.14 and 1874.31 cm − 1 are used as candidate pair, which provides a wide measuring range (800 to 4000 K) and high-temperature sensitivity (4.55 at 1000 K) sensor for temperature measurement. We used two quantum cascade lasers with wavelength of 4.68 and 5.34 μm to scan the selected line pair of H2O rapidly in the combustion environment and obtained the temperature information of the combustion field. Our work provides a good solution for the temperature measurement of extreme combustion environment with ultra-fast response, high sensitivity, and wide temperature range.
The development of imaging equipments for pollutant gases monitoring is concerned not only to efficient resource utilization but also to environment protection. CO is extremely harmful although its concentration is relatively low among industrial waste gases, which leads to a challenge for traditional spectral remote sensing methods. The infrared imaging molecular filter show great advantage in extracting target gas infrared spectrum signal and restraining radiation interference from environmental background and other gases due to its characteristics of the comb like transmission spectrum with ultra narrow band. In this paper, remote sensing and monitoring of industrial CO emissions based on infrared imaging molecular filter technology is carried out. real-time images of CO gas are also obtained. The experimental results show that this scheme provides a good solution for remote sensing and monitoring of industrial waste gas by using an imaging method.
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