Abstract
This paper proposes an innovative single point cutting device that requires less maintenance than traditional micro-milling machines, being the cutting tools required simpler easier to develop. This satisfies the market demands on micro manufacturing, where devices must be more accurate and cheaper, able to create a diverse range of shapes and geometries with a high degree of accuracy. A stereo vision system has been implemented as an alternative to the current technologies in the market to locate the tool tip, and with this, make the proper corrections on the CNC machine. In this paper the development of such system is explored and discussed. Experimental results show the accuracy of the proposed system, given an error in the measurement of \({\pm }3\,{\upmu }\mathrm{m}\).
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References
Caprile, B., Torre, V.: Using vanishing points for camera calibration. Int. J. Comput. Vis. 4(2), 127–139 (1990)
Chaumette, F., Hutchinson, S.: Visual servo control part i: basic approaches. IEEE Rob. Autom. Mag. 13, 82–90 (2006)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the 4th Alvey Vision Conference, pp. 147–151 (1988)
Hornberg, A.: Handbook of Machine Vision. Wiley-VCH, Hoboken (2006)
Huang, K.Y., Ye, Y.T.: A novel machine vision system for the inspection of micro-spray nozzle. Sensors 15, 326–338 (2015)
Klancnik, S., Senventer, J.: Computer-based workpiece detection on CNC milling machine tools using optical camera and neural networks. Adv. Prod. Eng. Manag. 5(1), 59–68 (2010). Annals of CIRP 121
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
Pfeifer, T., Sack, D., Orth, A., Stemmer, M.R., Roloff, M.L.: Measuring flank tool wear on cutting tools with machine vision - a case solution. In: Proceedings of IEEE Conference on Mechatronics and Machine Vision in Practice, pp. 169–175 (2002)
Qidwai, U., Chen, C.: Digital Image Processing: An Algorithmic Approach with MATLAB. CRC Press, Boca Raton (2009)
Rokunuzzaman, M., Jayasuriya, H.W.: Development of a low cost machine vision system for sorting of tomatoes. Agr. Eng. Int. CIGR J. 15(1), 173–180 (2013)
Acknowledgements
The authors would like to thank the financial support received from the Spanish Ministry of Economy, Industry and Competitiveness to this research project (DPI2016-79960-C3-1-P).
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López-Estrada, L., Fajardo-Pruna, M., Sánchez-González, L., Pérez, H., Vizán, A. (2018). Design and Implementation of a Vision System on an Innovative Single Point Micro-machining Device for Tool Tip Localization. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_21
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DOI: https://doi.org/10.1007/978-3-319-67180-2_21
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