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Abstract: At the Kielce University of Technology a new concept of accurate measurements of sphericity deviations of machine parts has been developed. The concept is based upon measurement of roundness profiles in many clearly defined cross-sections of the workpiece. Measurements are performed with the use of typical radial measuring instrument equipped with a unit allowing accurate positioning of the ball. The developed concept required finding a solution to numerous problems relating to the principle of the radial measurement. One of the problems to be solved was matching of measured roundness profiles. The paper presents an outline of the developed concept of sphericity measurement, a mathematical model of profile matching and results of the verification of the model.
B I B L I O G R A F I A[1] Zawada-Tomkiewicz, A., Ściegienka, J. (2011). Monitoring of a micro-smoothing process with the use of machined surface images. Metrol. Meas. Syst., 18(3), 419-428.
[2] Thalmann, R., Spiller, J. (2005). A primary roundness measuring machine. Recent Developments in Traceable Dimensional Measurements III, Proc. SPIE, 5879.
[3] Kanada, T. (1997). Estimation of sphericity by means of statistical processing for roundness of spherical parts. Precision Engineering, 20(2), 117-122.
[4] Kanada, T. (1995). Evaluation of spherical form errors - Computation of sphericity by means of minimum zone method and some examinations with using simulated data. Precision Engineering, 17(4), 281-289.
[5] Gleason, E., Schwenke, H. (1998). A spindless instrument for the roundness measurement of precision spheres. Precision Engineering, 22(1), 37-42.
[6] Udupa, G., et al. (1998). Assessment of surface geometry using confocal scanning optical microscope. Mechatronics, 8, 187-215.
[7] Bartl, G., et al. (2010). Interferometric determination of the topographies of absolute sphere radii using the sphere interferometer of PTB. Measurement Science and Technology, 21(11), 115101.
[8] Halkaci, H. S., Mavi, Ö., Yigit, O. (2007). Evaluation of form error at semi-spherical tools by use of image processing. Measurement, 40(9-10), 860-867.
[9] Chen, L.C (2007). Automatic 3D surface reconstruction and sphericity measurement of micro spherical balls of miniaturized coordinate measuring probes. Measurement Science and Technology, 18, 1748-1755.
[10] Samuel, G.L., Shunmugam, M.S. (2003). Evaluation of circularity and sphericity from coordinate measurement data. Journal of Materials Processing Technology, 139(1-3), 90-95.
[11] Nafi, A, Mayer, J.R.R., Wožniak, A. (2011). Novel CMM-based implementation of the multi-step method for the separation of machine and probe errors. Precision Engineering, 35(2), 318-328.
[12] Janecki, D., Stępień, K, Adamczak, S. (2010). Investigating methods of mathematical modelling of measurement and analysis of spherical surfaces In Proc. of the X International Symposium on Measurement and Quality Control, 6-9 Sept., 2010, Osaka, Japan.
[13] Kunis, S., Potts, D. (2003). Fast Spherical Fourier algorithms. Journal of Computational and Applied Mathematics, 161(1), 75-98.