Open AccessPECULIARITIES OF THE DIAMETER DISTRIBUTIONS OBTAINED AT SUBMILISECOND DURATION OF DISCHARGE PULSES SPARK-EROSIVE ALUMINUM PARTICLES AND CAVERNS ON THE SURFACE OF ITS GRANULES
Author(s) -
N.A. Shydlovska,
Svetlana Zakharchenko,
А. О. Perеkоs
Publication year - 2021
Publication title -
tehnìčna elektrodinamìka
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.22
H-Index - 13
eISSN - 2218-1903
pISSN - 1607-7970
DOI - 10.15407/techned2021.01.010
Subject(s) - log normal distribution , weibull distribution , materials science , normal distribution , mechanics , statistical parameter , probability distribution , distribution function , thermodynamics , physics , mathematics , statistics
The conditions and technique for obtaining single-mode size distributions of spark-erosive aluminum particles are given. The statistical parameters of the size distributions of spark-erosive aluminum particles and caverns on the surface of its granules, obtained at a submilisecond duration of discharge pulses were calculated. A comparative analysis of the volumes of metal of erosion caverns and particles is carried out. The agreement of the diameter distributions of spark-erosive particles and caverns obtained in practice with the following theoretical distributions of a continuous random variable: Gauss, Weibull, the integral of the Rosin-Rammler function, and also log-normal distribution is verified. In this case, the parameters of theoretical distributions were calculated both by the statistical parameters of the distributions obtained in practice, and by the criterion of the smallest value of the average module of the relative deviation of the theoretical and practical distributions. It has been shown that for the values of the parameters of theoretical distributions that correspond to the statistical parameters of practical distributions, the distribution of erosive particles by diameters is in the best agreement with the Gauss distribution, and the caverns – with the distribution of integral of the Rosin-Rammler function. References 27, figures 2, tables 3.