Method of determining the parameters of the texture of the surface of the rolls of rolling bearings by means of quasi-optimal correlation algorithm

Autor:	Nikita Kanatnikov, Sergej Bobrovskij, Nicolay Nosov, Olesja Levitskih, Marina Zykova, Semen Zaides, Alexander I. Khaimovich
Rok vydání:	2019
Předmět:	Surface (mathematics) Materials science Correlation algorithm Geometry Texture (crystalline)
Zdroj:	IOP Conference Series: Materials Science and Engineering. 537:042022
ISSN:	1757-899X 1757-8981
Popis:	The article proposes a new approach to the method for estimating the texture parameters of the surface of the rolling tracks of instrument bearings after profile grinding. The microgeometry of the surface of the bearing raceways was studied on an optical-electronic complex on the basis of calculating the parameters of the autocorrelation function obtained as a result of computer processing of the surface video image. The purpose of this study is improving the technology of profile grinding of bearing raceways through the construction of an optical-electronic information-measuring system for monitoring the parameters of the autocorrelation function.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5cd9b3ded7c672c1c94a4dfc0b1896d5 https://doi.org/10.1088/1757-899x/537/4/042022 Zobrazit plný text záznamu