A spectroscopic study for detection of carbon- monoxide using mid-infrared techniques for single- pass measurement
نویسندگان
چکیده
Tomographic imaging of minor species in combustion exhaust is an important requirement for combustion engineering. Only one group has tried carbon monoxide imaging in laminar flames in the mid-infrared region. A number of attempts have been made by different groups for single-channel multi-pass or long path-length measurement of CO. Singlepass measurement is being assessed in our work for tomographic measurement of the distribution of minor species. We report here the spectroscopic study of CO in different absorption lines of the strong fundamental bands in the mid-IR range. The criteria for selection of a light source in this context are also considered. Although strong spectral lines are available for CO in the mid-infrared region, strong water vapour and carbon dioxide interferences are also present. This addresses the choice of such useful spectral lines under interference by major species. The HITRAN 2004 database is used to predict the spectral lines of H2O and CO2 near the fundamental spectrum of CO in the mid-IR range. The exhaust condition in respect of temperature and pressure is considered in order to study the broadening of the spectral lines. The percentages of absorption for different species for different types of light sources are reported on the basis of computations. The concept can be readily extended to further species of interest in the presence of other interfering species. Different laser sources and spectroscopic methods are considered to design a strategy suitable to this application.
منابع مشابه
Detection of ionizing radiation emitted from the cesium-137 and cobalt-60 sources using electrochemical superoxide anion sensor in the aqueous medium
Widespread use of ionizing radiation in medicine, industry, agriculture, education and research, the increasing production of nuclear waste and nuclear incidents, has exposed humans and organisms to this radiation. Despite the benefits of ionizing radiation, these beams can cause serious damage to living systems. Hence, the need for radiation protection actions requires accurate, fast, inexpens...
متن کاملNovel diode laser-based sensors for gas sensing applications.
The development of compact spectroscopic gas sensors and their applications to environmental sensing will be described. These sensors employ mid-infrared difference-frequency generation (DFG) in periodically poled lithium niobate (PPLN) crystals pumped by two single-frequency solid state lasers such as diode lasers, diode-pumped solid state, and fiber lasers. Ultrasensitive, highly selective, a...
متن کاملPrecise measurement of methane in air using diode-pumped 3.4-μm difference-frequency generation in PPLN
Fast, accurate measurement of the methane mixing ratio in natural air samples using a compact solid-state 3.4-μm difference-frequency spectrometer is reported. The spectrometer employed bulk periodically poled lithium niobate (PPLN) pumped by a solitary diode laser at 808 nm and a diode-pumped monolithic ring Nd:YAG laser at 1064 nm, and a 300 cm3 volume multi-pass absorption cell with an 18m p...
متن کاملAnalysis of temporal - spatial distribution Carbon monoxide gas in the atmosphere of Iran using Aqua/AIRS data
Considering the vital importance of air and the increasing trace of its contaminating factors, it is necessary to study the contaminating factors in order to be aware of the existing situation. The phenomenon of air pollution is one of the most important problems in many parts of Iran, due to several reasons, increasing the amount of it day by day. Carbon monoxide is one of the most dangerous p...
متن کاملCarbon Monoxide Prediction in the Atmosphere of Tehran Using Developed Support Vector Machine
Air quality prediction is highly important in view of the health impacts caused by exposure to air pollutants in urban air. This work has presented a model based on support vector machine (SVM) technique to predict daily average carbon monoxide (CO) concentrations in the atmosphere of Tehran. Two types of SVM regression models, i.e. -SVM and -SVM techniques, were used to predict average daily C...
متن کامل