Open AccessAPPLICATION OF PLASMA SILICATION METHOD TO WEAR RESISTANCE OF THE PART
Author(s) -
Р. Романцов,
R. Romancov,
Инна Серых,
Инна Серых,
Е. А. Чернышева,
Е. А. Чернышева
Publication year - 2019
Publication title -
vestnik bgtu im. v.g. šuhova
Language(s) - English
Resource type - Journals
ISSN - 2071-7318
DOI - 10.34031/article_5d4d754620adc8.11242217
Subject(s) - clamping , durability , wear resistance , reliability (semiconductor) , service life , computer science , mechanism (biology) , component (thermodynamics) , production (economics) , hardening (computing) , materials science , reliability engineering , mechanical engineering , layer (electronics) , engineering , nanotechnology , composite material , power (physics) , physics , macroeconomics , quantum mechanics , economics , philosophy , epistemology , thermodynamics
Modern technologies are the most important component for any state. Today, advanced technologies allow to create any mechanisms at the level of atoms and molecules. For the production of machines, aggregates and their individual components, new nanomaterials and nanotechnologies are used, which reduce friction repeatedly and with high efficiency, protect parts from damage, save energy and increase the reliability of machine parts as a whole. Virtually in any mechanism, some parts focus on the main load. In this study, such a detail is the steel clamping collet 65G. A method of plasma siliconizing is proposed for hardening its inner surface. The raise of this characteristics will allow to increase its service life, and therefore will ensure more reliable operation of both a separate mechanism and production as a whole. This allows the enterprise to become cost-effective and competitive. In this paper, the magnitude of the effect of the silicon atoms introduction into the surface layer of a part on wear resistance and durability is investigated. Research and subsequent processing of the results using Statistica software for statistical analysis shows an increase in the strength characteristics by 2.6 times.