Monitoring of a micro-smoothing process with the use of machined surface images

• Autorzy: Zawada-Tomkiewicz A. , Ściegienka R.
• Języki publikacji: EN

Abstrakty

EN

Industrial applications require functional surfaces with a strictly defined micro-texture. Therefore engineered surfaces need to undergo a wide range of finishing processes. One of them is the belt grinding process, which changes the surface topography on a range of roughness and micro-roughness scales. The article describes the use of machined surface images in the monitoring process of micro-smoothing. Machined surface images were applied in the estimation of machined surface quality. The images were decomposed using two-dimensional Discrete Wavelet Transform. The approximation component was analyzed and described by the features representing the geometric parameters of image objects. Determined values of image features were used to create the model of the process and estimation of appropriate time of micro-smoothing.

Słowa kluczowe

EN

belt grinding process; surface roughness & micro-roughness; surface image; wavelet decomposition

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2011
• Tom: Vol. 18, nr 3
• Strony: 419--428
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Zawada-Tomkiewicz A.

autor

Ściegienka R.

• Department of Mechanical Engineering, Koszalin University of Technology, ul. Raclawicka 15-17, 75-620 Koszalin, Poland,

Bibliografia

• [1] Grzesik, W., Rech, J., Wanat, T. (2007). Surface finish on hardened bearing steel parts produced by superhard and abrasive tools. International Journal of Machine Tool & Manufacture, (47), 255-262.
• [2] Lewkowicz, R., Kacalak, W., Ściegienka, R., Bałasz, B. (2009). The new methods and heads for precision microfinishing with application of microfinishing films. Proceedings of the 5th International Congress on Precision Machining ICPM 2009.
• [3] Mezghani, S., El Mansori, M., Zahouani, H. (2009). New criterion of grain size choice for optimal surface texture and tolerance in belt finishing production. Wear, (5-6), 578-580.
• [4] Lewkowicz, R., Kacalak, W., Ściegienka, R. (2010). Finishing microsmoothing super smooth ceramic surface. Materials of XXXIII School of Science Abrasive Machining. (in Polish)
• [5] Mezghani, S., El. Mansori, M. (2008). Abrasiveness properties assessment of coated abrasives for precision belt grinding. Surface & Coatings Technology, (5-7), 786-789.
• [6] Adamczak, S., Makieła, W. (2002). The simulation method for the determination of the measuring error of a curvilinear profile exemplified by a circle using a co-ordinate measuring machine. Metrology & Measurement Systems, (3), 291-302.
• [7] Zawada-Tomkiewicz, A., Storch, B. (2009). Surface evaluation with the use of combined material probability curve calculated for machined surface image. Materials of XXXII School of Science Abrasive Machining.
• [8] Zawada-Tomkiewicz, A. (2010). Estimation of surface roughness parameter based on machined surface image. Metrology & Measurement Systems, (3), 493-504.
• [9] Jourani, A., Dursapt, M., Hamdi, H., Rech, J., Zahouani, H. (2005). Effect of the belt grinding on the surface texture: Modeling of the contact and abrasive wear. Wear, (259), 1137-1143.
• [10] Mezghani, S., El Mansori, M., Sura, E. (2009). Wear mechanism maps for the belt finishing of steel and cast iron. Wear, (1-4), 86-91.
• [11] Ściegienka, R. (2008). Fundamentals of conditions and parameters of selection processes, micro-smooth surface using a plastic abrasive belts, PhD thesis, Koszalin University of Technology. (in Polish)
• [12] Lewkowicz, R., Ściegienka, R. (2009). Modern methods of treatment of super-smooth surface of the precision cars components. Materials of XI National Science Symposium "SYMROZ'2009". (in Polish)
• [13] Lewkowicz, R., Ściegienka, R., Piątkowski, P., Bałasz, B. (2009). Modern methods of microfinishing super-smooth surfaces of car engines and suspensions parts. Logistics, (6).
• [14] Reference materials from the producers of grinding tools: 3M, GEM. LÖSER, SUPFINA.
• [15] Tomkiewicz, D. (2002). A measurement system for estimation of the water content in grain based on dynamic drying process model. Metrology & Measurement Systems, (4), 401-410.
• [16] Zawada-Tomkiewicz, A., Storch, B. (2010). Measurement of tool flank wear with the use of white light interferometer. PAK, (8), 950-953.
• [17] Zawada-Tomkiewicz, A. (2010). Application of discrete wavelet transform to reduce noise in the image of machined surface. Engineering and Production Management, (13), 173-178. (in Polish)
• [18] Zawada-Tomkiewicz, A., Tomkiewicz, D. (2007). Monitoring the quality of machined surface using the LabView environment. PAK, (8), 79-82. (in Polish)
• [19] Adamczak, S., Makieła, W. (2011). Analyzing the variations in roundness profile parameters during the wavelet decomposition process using the MATLAB environment. Metrology & Measurement Systems, (1), 25-34.
• [20] Zawada-Tomkiewicz, A. (2007). Image analysis of machined surface for the purpose of estimating the parameters of the surface. Acta Mechanica et Automatica, (2), 21-26. (in Polish)