
Reconstruction of Function of Particles Distribution by Sizes with Laser Sensing Method Use
Author(s) -
Половченко,
S. V. Polovchenko,
Чартий,
Pavel Chartiy
Publication year - 2014
Publication title -
bezopasnostʹ v tehnosfere
Language(s) - English
Resource type - Journals
ISSN - 1998-071X
DOI - 10.12737/6634
Subject(s) - aerosol , logarithm , laser , wavelength , radiation , distribution function , optics , filter (signal processing) , materials science , environmental science , computer science , physics , mathematics , mathematical analysis , meteorology , quantum mechanics , computer vision
A laser sensing inverse task solution method without using of integral equations has been suggested in this paper and it can
be used for aerosol particles’ sizes and concentration monitoring equipment creation for the real practice of the industrial
production. This method is based on the laser radiation intensity weakening at a limited set of the probing laser radiation
wavelengths. The computer simulation of aerosol flow parameters has been fulfilled and its results showed that during the
regular operation of enterprise’s dust cleaner equipment at the certain point of the technological process the aerosol can
be described by a function of particles distribution by sizes, and this function depends on finite number of parameters. The
particles’ sizes distribution function is described by the logarithmic normal law after a fabric filter as a last step of the dust
cleaner equipment. The laboratory setup realizing the laser sensing at the several laser radiation wavelengths possibilities
simultaneously by the spectral transparency and integral light scattering methods for investigation of studied aerosol
flows’ optical parameters dependence has been created. A complex refractive index of the studied substance has been
investigated. The dependence between the logarithmic normal distribution function parameters and the average volume
- surface diameter values received as a result of the sensing has been revealed. The suggested method of the inverse task
solution can be developed for the dust gas cleaning equipment refusals detection.