Statistical analysis of sizing features of dust generated under the mechanical metal-working
Автор: Azimova N. N., Ladosha E. N., Kholodova S. N., Tsymbalov D. S., Yatsenko O. V.
Журнал: Вестник Донского государственного технического университета @vestnik-donstu
Рубрика: Машиностроение и машиноведение
Статья в выпуске: 1 т.20, 2020 года.
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Introduction. The paper considers the mathematical analysis of the fractional composition of dust generated during the operation of the rail-cutting machine. It is established that the studied polydisperse material is well described by the one-parameter exponential distribution. At the same time, the lognormal particle size distribution, whose parameters are determined by mathematical programming methods, seems adequate for the purposes of calculating cyclones. The work objective was to develop mathematical methods for correct averaging of the size and mass parameters of dust under the solid metal machining.Materials and Methods. We studied the possibility of approximating experimental data by Rosin - Rammler distributions (classical, generalized three-parameter P(x, D, n, m), and simplified exponential P(x), in which n = 1). The corresponding results were compared to each other and to the data of approximation of the lognormal and double lognormal functions. These results indicate close approximation quality using the following model distributions P(x):• five-parameter double lognormal;• three-parameter type of Rosin-Rammler;• two-parameter classical Rosin - Rammler;• one-parameter exponential...
Metal cutting, dust, size distribution, statistics, mathematical programming
Короткий адрес: https://sciup.org/142223723
IDR: 142223723 | DOI: 10.23947/1992-5980-2020-20-1-68-78