Abstract
The article discusses the electrical equivalent circuit for installing a plasma generator in order to highlight the functional dependencies of the steady state of the control system. Experimentally established effect coating mechanism using tungsten carbides and rare earth impurities to the process of increasing resistance parts, which depends specifically introduced into the plasma generation system of controlled variables of internal resistances. This allows the use of a functionally stable control system for a non-stationary plasma medium. Experimental studies have confirmed that plasma formation occurs with the necessary parameters due to voltage stabilization at the target cathode and anode. Also, in order to stabilize the process, it is necessary to correct the current of the ionized flow, and equalize the energy potential of charged particles of the ion-plasma medium. To maintain the specified parameters within specified limits, it is necessary to introduce the corresponding resistance variables into the plasma generation system. Resistance variables are combined into a block of ballast resistors, which ensures the stability of the plasma formation and affects the value of current or voltage. These derived variable coefficients help maintain the functional stability of the specified parameters within the specified limits. This suggests that it is possible to control the flow of ionized particles by controlling their internal resistance. Due to this, the deposition of the tungsten carbide mixture on the workpiece is controlled. Coating using tungsten carbides and rare earth impurities is one of the most common in the production of tools that require high hardness, corrosion resistance and wear resistance.
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Bilokonska, Y., Breslavets, M., Firsov, S., Boyarkin, A. (2020). Methodology for the Experimental Calculation the Coefficients of the Functional Dependencies Electrical Circuits Plasma Substitution. In: Nechyporuk, M., Pavlikov, V., Kritskiy, D. (eds) Integrated Computer Technologies in Mechanical Engineering. Advances in Intelligent Systems and Computing, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-030-37618-5_3
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DOI: https://doi.org/10.1007/978-3-030-37618-5_3
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