Estimation of Service Life of Mechanical Engineering Components

Linins, Oskars; Jansons, Ernests; Leitans, Armands; Boiko, Irina; Lungevics, Janis

doi:10.4028/www.scientific.net/KEM.799.71

Paper Titles

Multi-Criteria Assessment of Physical Properties of Nanostructured Decorative Protective Coatings p.43 Features of Creating Nanostructured Intermetallic Ti-Al-Si-Cr Coatings for the Hot Section Part of Gas Turbine Engines p.52 Influence of Water Absorption on Static Friction of Pure and Friction-Modified PA6 Polymers p.59 Mechanical and Tribological Properties of Polyimide Composites for Reducing Weight of Ultrasonic Motors p.65 Estimation of Service Life of Mechanical Engineering Components p.71 Development of Testing Method for Assessment of Release Agent Effectiveness in High Temperature Forming Processes p.77 A Brief Review of Abrasive Wear Modelling Using a Numerical-Experimental Approach p.83 Investigation of Steam Turbine Blades Damage and Reliability in a Power Plant p.89 Recycling of Niobium Slag by Disintegrator Milling p.97

HomeKey Engineering MaterialsKey Engineering Materials Vol. 799Estimation of Service Life of Mechanical...

Estimation of Service Life of Mechanical Engineering Components

Abstract:

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.

Access through your institution

Info:

Periodical:

Key Engineering Materials (Volume 799)

Edited by:

Kristo Karjust, Jakob Kübarsepp, Tauno Otto and Irina Hussainova

Pages:

71-76

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.799.71

Citation:

Cite this paper

Online since:

April 2019

Authors:

Oskars Linins, Ernests Jansons*, Armands Leitans, Irina Boiko, Janis Lungevics

Keywords:

Contact Criterion, Life Time, Surface Contact, Wear

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Welte, T.M. & Wang, K. Adv.Manuf. (2014)2:79. https://doi.org/10.1007/s40436-014-0064-3.

[2] D.W. Kim, S.H. Kim, C.N. Chu, J.H. Cho A new life model of tripod type Constant Velocity Joint using accelerated life test,, Tribology International (2019), pp.130-141.

DOI: 10.1016/j.triboint.2018.12.005

[3] M. Möller, J. Blaurock, G Ziegmann, A. Esderts A computational tool for investigations on the lifetime estimation of multi-directional laminates under multiaxial stress states based on layerwise structural analysis,, Mobility and Engineering Research (MER), (2018) 1, pp.1-18.

[4] C. Okoh, R. Roy, J. Mehnen, L. Redding Overview of Remaining Useful Life Prediction Techniques in Through-Life Engineering Services,, Procedia CIRP 16 (2014), pp.158-163.

DOI: 10.1016/j.procir.2014.02.006

[5] N. Gugulothu, V. TV, P. Malhotra, L.Vig, P.Agarwal, G. Shro Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks,, In Proc. of 2nd ML for PHM Workshop on Knowl.Disc. and Data Mining, 2017 (SIGKDD), 10 pages.

[6] ISO 25178-2 Geometrical product specifications (GPS).- Surface texture. Areal - Part 2: Terms, definitions and surface texture parameters.

DOI: 10.3403/30154352u

[7] O. Linins, J. Krizbergs, I.Boiko Wear Estimation Using 3D Surface Roughness Parameters,, Key Engineering Materials, Vol. 527, pp.167-172, (2013).

DOI: 10.4028/www.scientific.net/kem.527.167

[8] I. Kragelsky, V. Alisin, Tribology – Lubrication, Friction and Wear, Mir publ., Moscow, (2001).

[9] O. Linins, D. Rags, N.Mozga, Calculation of wear with application of stray fields to roughness evaluation of friction surfaces, Proc. 56th IWK, Ilmenau (2011) 4.

[10] A.Kamols, I.Boyko, A.Filipov Application of the contact criteria (CC) in the optimization of the metal joining in solid phase", Proceedings of 10 International Conference "Metrology and Properties of Engineering Surfaces,, 04-07 July 2005, Saint Etienne, France, pp.389-395.