Development of a System for Diagnosing Bearing Assemblies With Polymer Parts During Operation

Abstract

The object of research is the process of monitoring the limiting wear of polymer-composite bushings of the bear-ing unit of the parallelogram mechanism of seeding machines. This process is clearly manifested in determining the good condition of the moving joints of machines operating in severe operating conditions. The studies performed are based on the principle of breaking the active link. The diagnostics is based on this principle, which makes it possible to assert with sufficient accuracy about the failure of the control link of the mates of parts. The main hypothesis of the study is that by developing a diagnostic system based on the control of composite bushings, it is possible to determine the boundaries of the normal functioning of the sowing sections as a whole. The solution of this issue without intervention in the design of the sowing section itself is impossible. Since the material of the sleeve is a polymer composite, which has sufficient resistance not to pass an electric current, conditions are created for the implementation of the proposed diagnostic system. In this work, a regression model is built to control and identify changes in the lateral backlash from the operating time of the seeding complex. By analyzing the data obtained, it is possible to establish the relationship between the diagnostic parameter, namely, the fixation of the rupture of the active link passing near the working surface of the composite sleeve. The main limitations in the development of this diagnostic system are the boundaries of the control gaps in the mates, as well as the presence of dielectric materials for the control parts. In the case of a significant occurrence of an active rupture link or an incorrect selection of its required diameter, then this diagnostic method may work inappropriately and the diagnostic system becomes ineffective. The work reflects the timeliness and rationality of the developed diagnostic system. On the basis of such a diagnostic system, it is possible to create an automated diagnostic complex for monitoring the state of the parallelogram mechanisms of the seeding complex as a whole.