Estimation of Service Life of Mechanical Engineering Components
Key Engineering Materials 2019
Oskars Liniņš, Ernests Jansons, Armands Leitāns, Irīna Boiko, Jānis Lungevičs

The paper is aimed to the methodology for estimation of service life of mechanical engineering components in the case of elastic-plastic contact of surfaces. Well-known calculation methods depending on physics, theory of probability, the analysis of friction pair’ shape and fit include a number of parameters that are difficult or even impossible to be technologically controlled in the manufacturing of mechanical engineering components. The new approach for wear rate estimation using surface texture parameters as well as physical-mechanical properties and geometric parameters of components is proposed. The theoretical part of the calculations is based on the 3D surface texture principles, the basics of material fatigue theory, the theory of elasticity and the contact mechanics of surfaces. It is possible to calculate the service time of the machine, but the process of running-in of the components is relatively short (less than 5%), therefore, the service time is mainly determined by a normal operating period, which also was used to evaluate this period. The calculated input parameters are technologically and metrologically available and new method for calculating the service time can be used in the design process of the equipment. The results of approbation of the method for estimation service time of mechanical engineering, which prove the applicability of mentioned method, are offered as well.


Atslēgas vārdi
Contact Criterion, Life Time, Surface Contact, Wear
DOI
10.4028/www.scientific.net/KEM.799.71
Hipersaite
https://www.scientific.net/KEM.799.71

Liniņš, O., Jansons, E., Leitāns, A., Boiko, I., Lungevičs, J. Estimation of Service Life of Mechanical Engineering Components. No: Key Engineering Materials, Igaunija, Tallinn, 24.-26. aprīlis, 2019. Šveice: Trans Tech Publications Ltd., 2019, 71.-76.lpp. ISSN 1013-9826. e-ISSN 1662-9795. Pieejams: doi:10.4028/www.scientific.net/KEM.799.71

Publikācijas valoda
English (en)
RTU Zinātniskā bibliotēka.
E-pasts: uzzinas@rtu.lv; Tālr: +371 28399196