This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Results of Multidimensional Tribodiagnostic Measurements
ISSN: 0148-7191, e-ISSN: 2688-3627
Published October 16, 2000 by SAE International in United States
Annotation ability available
The tribodiagnostic measurement and analysis of wear debris from oil - lubricated machinery is used as a prevention of unwanted failure and as a design tool in the development of new machinery. There are many types of wear such as adhesion, abrasion, corrosion, erosion, fretting, cavitation, fatigue, melting and other. Each of these results in its own characteristic form of wear particle, the identification of which is sometimes difficult. There are many methods for identifying particles and for monitoring their development over time. One such method is ferrography a technique for separating wear particles from the lubricant matrix and depositing them on a glass slide, arranged or sorted by particle size.
An important element of a rational approach to tribodiagnostic measurement is a suitable expression of stochastic quantities to describe an examined object. For complex diagnosed objects, e.g., vehicle combustion engines, there are two approaches to describe the technical state of the objects:
- 1Select a small number of dominant tribodiagnostic parameters and then directly evaluate them by common methods.
- 2Apply statistical methods to evaluate a comparatively large set of diagnostic parameters. Representative of statistical methods is discriminative analysis. Utilization of discriminative analysis is based on the ability of the method to describe one latent qualitative parameter by means of several quantitative variables.
This paper discusses ways to apply mathematical methods to evaluate the results of tribodiagnostics (ferrography) related to vehicle combustion engines. The idea is based on a discriminative analysis which makes it possible to describe one qualitative parameter, i.e., complex technical state of the engine, by means of several quantitative parameters, i.e., quantity of diagnosed wear particles in used oil. The results have been verified by means of considerable statistical data of T3 - 930 engines made in Czech Republic used in trucks and automobiles.
CitationStodola, J., "Results of Multidimensional Tribodiagnostic Measurements," SAE Technical Paper 2000-01-2948, 2000, https://doi.org/10.4271/2000-01-2948.
- BOOSER, R,E. Tribology Data Handbook CRC Press Boca Raton, New York 1997
- JONES, W.R. LOEWENTAL, S.H. „Ferrographic Analysis of Wear Debris from Full-Scale Bearing Fatique Tests” NASA Technical Paper 1511 NASA Washington DC 1979
- LAUNER, L.R. SAIBEL, A.E. „Analysis of Ferrographic Engine Wear Data Using Quality Control Techniques,” Lubr. Eng. 43 9 749 751 1987
- ROYLANCE, J.B. POCOCK, G. Wear Studies Through Particle Size Distribution I: Application of the Weibull Distribution to Ferrography Wear 90 113 136 1983
- SEIFERT, W.W. WESTCOTT, C. V. „A Method for the Study of Wear Particles in Lubricating Oil” Wear 21 27 42 1972
- STODOLA, J. „Tribological Diagnostics of Car Combustion Engines,” Jour. of the Military Academy Brno 38 1 35 46 1989
- STODOLA, J. Multidimensional Tribodiagnostic Measurements and Their Evaluation Lubrication Engineering 49 7 513 516 1993
- HRUBY, V. KADLEC, J. STODOLA, J. Hydrogen Plasma Diffusion Treatment of Layers Prepared by Plasma Nitridation The 26-thIEEE International Conference of Plasma Science Monterey CA 1999
- STODOLA, J. Ferrography Test and their Evaluation Tribology 2000-Plus. 12-th International Colloquium Esslingen III 2000
- STODOLA, J. Results of Tribodiagnostic Test of Vehicle Combustion TATRA T3-928 Engines FISITA World Automotive Congress Seoul 2000