ALGORITHM FOR MULTIFILE PROCESSING OF EXPERIMENTAL DATA IN HIGH-SELECTIVE TURBIDIMETRIC METHOD

A.A. Zhirnov, S.S. Titov
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Abstract: The fast processing of experimental information in the optical methods for diagnostics of disperse media is a relevant challenge. Once the challenge is solved, those methods and instruments can be used in industries for inspection, in science, and in other scope of human’s activities. To date, a high-selective turbidimetric method has been devised for measuring disperse characteristics of polydisperse media. This method and an instrument system based thereon enable the measurement of disperse characteristics of aerosols and suspensions, though the files of experiments are manipulated by an operator one by one. In order to make the experimental-file processing faster, it is necessary to have developed and implemented an algorithm as a program, which can process multiple files of experimental data. The implemented algorithm is checked on by a Spraytec optical particle analyzer (Malvern Instruments) on a model medium of M1-brand electrocorundum (Al2O3)А25. This will allow the computer-aided processing of experimental data for other substances by an instrument system using the high-selective turbidimetric method. Thus, the operator’s work will be done N times faster, where N is the number of experimental files (spectra)
Index terms: Sauter mean diemeter (D32), optical density, algorithm, spectrometer, reference spectrum, attenuation spectrum

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