Second International Conference on Material Science, Smart Structures and Applications: Icmss-2019 2019
DOI: 10.1063/1.5138448
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Simulation of galvanic dynamic mode in membrane hydrocleaning systems taking into account space charge

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Cited by 4 publications
(6 citation statements)
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“…The software package (program) "Deep learning for CVC 0.1" created by us allows you to get images that simulate the studied processes in the EMC [1][2][3][4], calculate all relevant characteristics, including the CVC [5][6][7][8], generate reports, and get an animated interpretation of the process studied in time .…”
Section: Used Methods and Resultsmentioning
confidence: 99%
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“…The software package (program) "Deep learning for CVC 0.1" created by us allows you to get images that simulate the studied processes in the EMC [1][2][3][4], calculate all relevant characteristics, including the CVC [5][6][7][8], generate reports, and get an animated interpretation of the process studied in time .…”
Section: Used Methods and Resultsmentioning
confidence: 99%
“…The program "Deep learning for CVC 0.1" (Figure1), containing databases and knowledge bases of theoretical current-voltage characteristics for deep machine learning, allows you to select specifi c sections of the CVC, for example, the section of the beginning of electroconvection[2][3][4][5][6][7][8] at the Cation Exchange Membrane (CEM) which begins with dfi kom (beginning) and ends with dfi aom (the beginning of electroconvection at the Anion Exchange Membrane (AEM)), the plot of the beginning of electroconvection at the AOM, the site of the beginning of the interaction of electroconvection vortices at the CEM and AEM, and others. In these areas, the software package allows you to conduct Fourier and Wavelet analyses, identify the trend, subtract the CVC from the trend, calculate the fl uctuations amplitude, determine the main and accompanying fl uctuation frequencies, use the results to record the "restored" CVC (I -V characteristic) and compare it with the real one, fi nd the dependence of the CVC on the parameters of the problem with the approximation condition.…”
mentioning
confidence: 99%
“…In an electric field, negatively charged magnetic particles begin to move towards the anode, and positively charged ones move towards the cathode, so the dense layers form near the electrodes. The model of AWP is based on the mechanism of particle recharging in layers and is a classical system of differential equations [34][35][36][37], without simplifications and fitting parameters: Let x = 0 and x = H be the conditional points at which the process of charging particles takes place (no space charge in x = 0); in a particular case, these can be an anode and a cathode. The initial distribution of neutral particles of a ferrocolloid with a known concentration (initial conditions C 1 (0, x) = C 10 (x) and C 2 (0, x) = C 20 (x)) is determined by diffusion.…”
Section: Mathematical Model Of Forced Synchronization Of An Autowave ...mentioning
confidence: 99%
“…The model of AWP is based on the mechanism of particle recharging in layers and is a classical system of differential equations [34][35][36][37], without simplifications and fitting parameters:…”
Section: Mathematical Model Of Forced Synchronization Of An Autowave ...mentioning
confidence: 99%
“…The peculiarity of electroconvection in the presence of forced convection is the presence of a different potential drop at which it occurs. In addition, electroconvection, which initially develops as a stable process, gradually becomes unstable with increasing potential drop, passing through a number of stages of bifurcations of electroconvective vortices and their interaction [ 43 , 44 , 45 , 46 , 47 ].…”
Section: Introductionmentioning
confidence: 99%