Vibration Machines and Man

Shemyakin, E. I.; Benevolenskaya, N.P.; Tishkov, A. Ya.

doi:10.1016/s0166-1116(09)70161-x

Cited by 1 publication

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“…At the same degree of fragmentation is the relationship between grain size after crushing and its size before crushing. However, recently it was discovered that the process of breaking up and separating solid mass, besides the already mentioned methods, can also be performed on a very successful and rational manner by using special vibrating oscillatory transportation platform [5,6]. Since the beginning of the sixties the last century, great number of authors in the world dealt with the specific problems of increasing the working abilities of platforms, mainly intended for finegrained and dry materials.…”

Section: -Introductionmentioning

confidence: 99%

Sieving Extremely Wet Earth Mass by Means of Oscillatory Transporting Platform

Mihajlović

Živković

2020

Emerg Sci J

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The experience acquired from the exploitation has shown that problems in the work of oscillatory platforms appear after heavy rains, i.e. when the soil moisture (w) is greatly increased. Then the effect of transportation and sieving is the weakest, due to sticking moist earth for grille of the platform. Therefore, the main aim of this article was to create a complex theoretical and practical mathematical model of the processes mentioned above, in order to test how the platform works in extreme working conditions after abundant and prolonged rains. Therefore, complete research is divided into two characteristic phases: theoretical phase and experimental phase. In the theoretical research phase, dynamic modeling of the process of sieving of extremely wet earth mass was performed using the transmissional function analysis method and the method of Laplace transforms [1]. The Novelty in the theoretical model given by Equation 3 is that the existing model for sieving dry earth mass [2] has been improved by introducing delay coefficient Kt =[0...1]. In the experimental research phase, the original mathematical model was created using the multi-factor experiment plan method which will be shown, while the analysis of the experimental parameters was performed in three characteristic steps: regression analysis- dispersion analysis- decoding mathematical model [3].

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Section: -Introductionmentioning

confidence: 99%