Condition monitoring of tribosystems by wear debris analysis

• Autorzy: Myshkin N. K. , Grigoriev A. Ya. , Markova L. V.
• Języki publikacji: EN

Abstrakty

EN

Wear as a surface loss of material resulting from friction is considered in connection with various factors affecting a tribosystem. It is shown that debris formed at friction can be a source of valuable information on the wear mechanism and mode. The shape, texture and color of particles can be used for wear analysis. Methods of image recognition are used in order to solve the problem of debris analysis and classification for further use as a database being a part of integrated monitoring service. The concept of wear monitoring and its main purposes are considered in the context of providing non-failure, long-term operation at optimum friction performance of a tribosystem. Wear monitoring tools based on the analysis of debris accumulation in lubricated machinery are reviewed.

Słowa kluczowe

EN

wear debris; morphology; classification; wear monitoring; optical-magnetic detector

PL

monitoring zużycia; wytrzymałość materiałów; gruz

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mechanics and Engineering
• Rocznik: 2002
• Tom: Vol. 7, no 3
• Strony: 923--947
• Opis fizyczny: Bibliogr. 22 poz., rys., wykr.

Twórcy

autor

Myshkin N. K.

• Metal-Polymer Research Institute named after V.A.Belyi National Academy of Sciences of Belarus Kirov st. 32a, Gomel, 246050, BELARUS

autor

Grigoriev A. Ya.

• Metal-Polymer Research Institute named after V.A.Belyi National Academy of Sciences of Belarus Kirov st. 32a, Gomel, 246050, BELARUS

autor

Markova L. V.

• Metal-Polymer Research Institute named after V.A.Belyi National Academy of Sciences of Belarus Kirov st. 32a, Gomel, 246050, BELARUS

Bibliografia

• [1] Anderson D.W. (1972): Wear Particle Atlas. Naval Air Engineering Center. - Report No. NAEC-92-163.
• [2] Bowden F.P. and Tabor D. (1964): The Friction and Lubrication of Solids. - Oxford: Clarendon Press.
• [3] Choi K.-Y. and Grigoriev A.Ya. (2000): Software and hardware implementation of technology for image input, processing and data storage. - Materials, Technology, Tools, vol.l, No.5, pp.92-97 (in Russian).
• [4] Czichos H. (1978): Tribology: A System Approach to the Science and Technology of Friction, Lubrication and Wear. - Amsterdam: Elsevier.
• [5] Garbar I.I. (2000): Critical structures of metal destruction under the process of wear. - ASME Journal of Tribology vol.122, pp.361-366.
• [6] Grigoriev A.Ya., Peng Z. and Kirk T.B (1998): A study of the surface textures of wear debris using co-occurrence matrix. - In: COMADEM 98, December 8-11, 1998, Tasmania, pp.351-360.
• [7] Haralick R.M. (1979): Statistical and structural approach to texture. - Proc. of the IEEE, vol.67, No.5, pp.786-804.
• [8] Hunt T.M. (1993): Handbook of Wear Debris Analysis and Detection in Liquids. - London: Elsevier.
• [9] Julesz B. (1962): Visual pattern discrimination. - IRE Transactions on Information Theory, vol.IT-8, pp.391-405.
• [10] Kato K. (1997): Wear mechanisms, In: New Directions in Tribology (I.M. Hutchings, Ed.). - London: Mechanical Engineering Publications Ltd., September 8-12, 1997, pp.39-56.
• [11] Kragelskii I.V. (1982): Friction and Wear. - Elmsford: Pergamon Press.
• [12] Kwon O.K., Kong H., Han H.G., Yoon E.S., Myshkin N.K., Markova L.V. and Semenyuk M.S. (2000): On-line measurement of contaminant level in lubricating oil. - US Patent No. 6151108, G01 33/28.
• [13] Myshkin N.K., Kong H., Grigoriev A.Ya. and Yoon E.S. (2001a): The use of color in wear debris analysis. - Wear, No.251, pp. 1218-1226.
• [14] Myshkin N.K., Petrokovets M.I. and Chizhik S.A. (2001b): Wear measurements and monitoring at macro- and microlevel, In: Fundamentals of Tribology and Bridging the Gap Between the Macro- and Micro/Nanoscales. - Kluwer Academic Publishers, pp.423-438.
• [15] Myshkin N.K., Markova L.V., Semenyuk M.S., Kwon O.K. and Kong H. (2000): Online opto-magnetic detector and its application for air compressor system monitoring. - In: Proceedings of 12th International Colloquium “Tribology 2000- Plus”, January 11-13, 2000, Esslingen, Germany, pp.1571-1576.
• [16] Myshkin N.K., Kwon O.K., Grigoriev A.Ya., Ahn H.S. and Kong H. (1997a): Classification of wear debris using a neural network. — Wear, No.203-204, pp.658-652.
• [17] Myshkin N.K, Kim C.K. and Petrokovets M.I. (1997b): Introduction to Tribology. - Seoul: Cheong Moon Gak.
• [18] Myshkin N.K., Markova L.V., Semenyuk M.S. and Kong H. (1996): Main trends in design of on-line wear monitoring systems, In: Proc. 5th International Conference on Profitable Condition Monitoring. — Harrogate, UK, December 3-4, 1996, pp.71-80.
• [19] Nadler M. and Smith E.P (1992): Pattern Recognition Engineering. - New York: Willey.
• [20] Rigney D.A. (1992): Some thoughts on sliding wear. - Wear, vol.152, pp.187-192.
• [21] Thomas A.D.H., Davies T. and Luxmore A.R. (1991): Computer image analysis of wear debris for identification of wear particle. - Wear, No. 142, pp.213-226.
• [22] Van Otterloo P.J. (1988): A Contour-Oriented Approach to Digital Shape Analysis. - New York: Elsevier.