Simulation of the Processing Process in a Glow Discharge Plasma Generator
Interstate educational institution of the higher education “Belarusian-Russian University”, Mogilev, Republic of Belarus doctoral candidate Institute of design-technology informatics Russian Academy of Sciences BL-212000 Moscow, Russia
2 Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
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Published online: 26 April 2021
A theory has been developed that explains the structure formation in a thin surface layer of a material after low-energy exposure to a glow discharge plasma. This makes it possible to design new methods, technologies and automated devices for the development of an automated technological environment for strengthening various types of tools from various materials. Based on the developed theory, a self-learning system with a developing database was created for monitoring all stages of processing in a glow discharge plasma generator. Any crystal structure can be classified as a complex nonlinear system. When studying the dynamic response of such systems to an external low-energy effect, it was shown that by the time when the nonlinear vibrations stop, the atoms of the crystal lattice are stabilized in new positions. Based on the purpose of the products to be processed in the glow discharge plasma generator, with taking into account their operating conditions, it is possible to increase their production life up to 2 times or more. These technologies should be used at the final stage of the production process because they do not lead to distortion of the shape and size of the working surfaces of products being manufactured. In this case, the residual stresses are redistributed in the surface layer of the material with the formation of an equal structure that improves the running-in conditions of mating parts of devices and mechanisms. For cutting and forming tools, the run-in stage is reduced to the stage of uniform wear.
Key words: plasma / glow discharge / control system / automated technological environment / modeling.
© The Authors, published by EDP Sciences, 2021
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