Applications and Experiences of Quality Control

Fog droplets are very often used as a cleaning agent when air pollution can be dangerous for health conditions and ecosystem. This work presents a new system to optimize the cleaning properties of fog by tuning its microphysical parameters. For this purpose, a newly developed system, which is based on the electromagnetic echo effect (EMEE) sensor, is used to detect the most efficient interaction between fog and impurities, i.e., which fog droplets can be used to most effectively clean a certain type of pollutant from the air. Fog droplet spectra controlled by the nozzle pressure system can be used to effectively remove pollutants from the air. For this purpose, an automated system for aerosol generation can allow an accurate control over the fog microphysical parameters and the use of fluids with specific concentrations of pulverized chemical compounds. Fog droplet size distribution is controlled by the feeding gas pressure at the nozzle and chemical simulants. The experimental results showed that the microphysical parameters (MP) are directly related to the impurity of species used in the cleanup simulation process. The MP parameters of fog are liquid water content (LWC), droplet mean radius (Rm), droplet number concentration (Nd), and both aerosol type and mass concentration. In the lab testing, harmless simulants of CBRN (chemical, biological, radiological and nuclear) species were used. During the tests, fog droplet size distribution is controlled by the air pressure at the nozzle and simulants. It is concluded that an integrated fog generator system (IFGS) with EMEE sensor developed in the current work can be utilized broadly to control fog microphysical parameters, leading to an optimum aerosol/chemical species’ cleaning process.

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Investigations for Development of Structures for Control of Fog Contaminations

Todorov

Peshev²,

Pérez-Díaz³

et al. 2022

MATEC Web Conf.

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Characterization of fogs is an important problem that does not have a good solution in real conditions. To investigate this problem, we chose the electromagnetic echo effect (EMEE) because it offers several advantages measurements are fast, accurate and can be contactless. Various concepts for the detection of impurities in the composition of fogs by implementing the EMEE were considered. An overview was made of the advantages and disadvantages of the proposed methods. An experimental setup was designed to conduct studies regarding the development of sensors for the control of fog contaminations. It has been experimentally proven that a change in the generated EMEE signal is observed when a change in the composition of the fog is present. The signal is also influenced by various conditions, e.g. solid interaction efficiency and laser beam intensity, modulation frequency, etc. Those parameters were optimized properly to achieve high sensitivity and accuracy. Research results indicate the possibility to use them for the detection of CBRN agents.

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Applications and Experiences of Quality Control

Cited by 12 publications

References 237 publications

Applications of an Effect Based on Electromagnetic Field-Matter Interactions for Investigations of Water

Applications of an Effect Based on Electromagnetic Field-Matter Interactions for Investigations of Water

Optimization of the Air Cleaning Properties of Fog

Investigations for Development of Structures for Control of Fog Contaminations

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