A New Approach to Spindle Radial Error Evaluation Using a Machine Vision System

• Autorzy: Kavitha C. , Ashok S. D.

Identyfikatory

DOI

10.1515/mms-2017-0018

• Języki publikacji: EN

Abstrakty

EN

The spindle rotational accuracy is one of the important issues in a machine tool which affects the surface topography and dimensional accuracy of a workpiece. This paper presents a machine-vision-based approach to radial error measurement of a lathe spindle using a CMOS camera and a PC-based image processing system. In the present work, a precisely machined cylindrical master is mounted on the spindle as a datum surface and variations of its position are captured using the camera for evaluating runout of the spindle. The Circular Hough Transform (CHT) is used to detect variations of the centre position of the master cylinder during spindle rotation at subpixel level from a sequence of images. Radial error values of the spindle are evaluated using the Fourier series analysis of the centre position of the master cylinder calculated with the least squares curve fitting technique. The experiments have been carried out on a lathe at different operating speeds and the spindle radial error estimation results are presented. The proposed method provides a simpler approach to on-machine estimation of the spindle radial error in machine tools.

Słowa kluczowe

EN

machine vision; circular hough transform; Fourier series; runout; spindle radial error

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2017
• Tom: Vol. 24, nr 1
• Strony: 201--219
• Opis fizyczny: Bibliogr. 18 poz., fot., rys., tab., wykr., wzory

Twórcy

autor

Kavitha C.

• VIT University, School of Mechanical Engineering, Vellore-632014, Tamil Nadu, India

autor

Ashok S. D.

• VIT University, School of Mechanical Engineering, Vellore-632014, Tamil Nadu, India

Bibliografia

• [1] Bryan, J.B., Vanherck, P. (1975). Unification of terminology concerning the error motion of axes of rotation. California Univ., Livermore (USA). Lawrence Livermore Lab.
• [2] Murugarajan, A., Samuel, G.L. (2011). Measurement, modeling and evaluation of surface parameter using capacitive-sensor-based measurement system. Metrol. Meas. Syst., 18(3), 403-418.
• [3] Marsh, E.R. (2008). Precision spindle metrology. DEStech Publications.
• [4] Liu, C.H., Jywe, W.Y., Lee, H.W. (2004). Development of a simple test device for spindle error measurement using a position sensitive detector. Measurement science and Technology, 15(9), 1733.
• [5] Castro, H.F. (2008). A method for evaluating spindle rotation errors of machine tools using a laser interferometer. Measurement, 41(5), 526-37.
• [6] Murakami, H., Kawagoishi, N., Kondo, E., Kodama, A. (2010). Optical technique to measure five-degree-of-freedom error motions for a high-speed microspindle. International Journal of Precision Engineering and Manufacturing, 11(6), 845-50.
• [7] Fujimaki, K., Mitsui, K. (2007). Radial error measuring device based on auto-collimation for miniature ultrahigh-speed spindles. International Journal of Machine Tools and Manufacture, 47(11), 1677-85.
• [8] Deakyne, T.R., Marsh, E.R., Lehman, J., Bartlett, B., Solutions, C. (2008). Machine vision with spindle metrology using a ccd camera. Proc. of ASPE 23nd Annual Meeting, American Society for Precision Engineering, Portland.
• [9] Chen, A., Liu, N. (2010). Circular object detection with mathematical morphology and geometric properties. IEEE, International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2, 318-321.
• [10] Jain, A.K. (1989). Fundamentals of digital image processing. Prentice-Hall.
• [11] Ding, L., Goshtasby, A. (2001). On the Canny edge detector. Pattern Recognition. 34(3), 721-725.
• [12] Smereka, M., Dulęba, I. (2008). Circular object detection using a modified Hough transform. International Journal of Applied Mathematics and Computer Science, 18(1), 85-91.
• [13] Shetty, P. (2011). Circle Detection in Images. Faculty of San Diego State University, 9-11.
• [14] Rhody, H. (2005). Lecture 10: Hough circle transform. Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology.
• [15] Ashok, S.D., Samuel, G.L. (2012). Modeling, measurement, and evaluation of spindle radial errors in a miniaturized machine tool. The International Journal of Advanced Manufacturing Technology, 59(5-8), 445-61.
• [16] American National Standards Institute. (2010). ANSI / ASME Axes of Rotation: Methods for Specifying and Testing. American Society of Mechanical Engineers.
• [17] Ashok, S.D., Samuel, G.L. (011). Least square curve fitting technique for processing time sampled high speed spindle data. International Journal of Manufacturing Research, 6(3), 256-276.
• [18] Ashok, S.D., Samuel, G.L. (2012). Harmonic-analysis-based method for separation of form error during evaluation of high speed spindle radial errors. Proc. of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 0954405411434868.

Uwagi

EN

The authors wish to thank Department of Science Technology, New Delhi for providing the necessary funding to establish the machine vision system for spindle radial error measurement in machine tools under the fast track Young scientist scheme.

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).