Peculiarities of data processing for optical measurements of disperse parameters of bimodal media

Автор: Zhirnov Anatoliy Alekseevich, Kudrjashova Olga Borisovna

Журнал: Компьютерная оптика @computer-optics

Рубрика: Численные методы и анализ данных

Статья в выпуске: 4 т.43, 2019 года.

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This study is focused on enhancing the informativity of optical measurement techniques for particulate matter. The problem is that the description of particulate matter with bimodal and multimodal distributions by an a priori defined analytical function of particle size distribution (for example, a log-normal distribution) is not accurate enough. Here, we explore if experimental data can be approximated by a multivariable function of particle size distribution instead of using the a priori defined log-normal distribution. For the comparison of the approximation results, experiments are conducted on standard samples with granulometric compositions OGS-01LM and OGS-08LM separately and jointly in a mix. The experimental data are recorded by a high-selectivity turbidimetric technique in water suspensions of these samples. The purpose of this study is to present the measurement results as a distribution function that enables one to identify more accurately the particle-size distribution profile and the corresponding disperse characteristics of the aerosol in question when measuring parameters of disperse media by optical techniques...

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Средний объёмно-поверхностный диаметр частиц (d32), aerosols, turbid media, non-destructive testing, remote sensing and sensors, optical method, monodisperse polystyrene latex, turbidimetric technique, lognormal distribution, multivariable function, sauter mean diameter

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Короткий адрес: https://sciup.org/140246502

IDR: 140246502   |   DOI: 10.18287/2412-6179-2019-43-4-692-698

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