Abstract
Accurate estimates of cutting forces in metal cutting are important in the evaluation of e.g. different cutting tool geometries and concepts. However, dynamic influences from the measurement system affect the measurement result and may make the obtained cutting force data erroneous and misleading. This paper presents a method to construct an inverse filter which compensates for the dynamic influences from the measurement system. Using the suggested approach, unwanted dynamic effects from the measurement system can be counteracted. By applying the inverse filter it is possible to retain information related to the cutting forces at higher frequencies than possible with unfiltered data. The advantage of using the proposed method is illustrated by comparing simulated, inverse- and low-pass filtered cutting forces to unfiltered forces at different cutting speeds. The results indicate that inverse filtering can increase the usable frequency range of the force dynamometer and thereby provide more accurate and reliable results compared to both low-pass and unfiltered force measurements.
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References
Tlusty, J., Jang D., Tarng, Y.: Measurements of milling force over a wide frequency range (1987)
Jensen, S.A., Shin, Y.C., Davies, P.: Inverse filtering of unwanted system dynamics in cutting force measurement. In: American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, vol. 58, pp. 167–174 (1996)
Park, S.S., Altintas, Y.: Dynamic compensation of spindle integrated force sensors with Kalman filter. J. Dyn. Syst. Meas. Control 126(3), 443–452 (2004)
Altintas, Y., Park, S.: Dynamic compensation of spindle-integrated force sensors. CIRP Ann. - Manuf. Tech. 53(1), 305–308 (2004)
Park, S., Malekian, M.: Mechanistic modeling and accurate measurement of micro end milling forces. CIRP Ann. - Manuf. Tech. 58(1), 49–52 (2009)
Hawksford M.J.: Minimum-phase signal processing for loudspeaker systems (1996)
Pei, S.-C., Lin, H.-S.: Minimum-phase FIR filter design using real cepstrum. IEEE Trans. Circ. Syst. II-Express Briefs 53(10), 1113–1117 (2006)
Oppenheim, A.V., Schafer, R.W.: Discrete-Time Signal Processing, 3rd edn. Pearson Education, Upper Saddle River (2010)
Proakis, J.G., Manolakis, D.G.: Digital Signal Processing: Principles, Algorithms and Applications, 3rd edn. Prentice-Hall, Upper Saddle River (1996)
Hayes, M.H.: Statistical Digital Signal Processing and Modeling. Wiley, New York (1996)
Magnevall, M., Lundblad, M., Ahlin, K., Broman, G.: High frequency measurements of cutting forces in milling by inverse filtering. Mach. Sci. Technol. 16(4), 487–500 (2012)
Bendat, J.S., Piersol, A.G.: Engineering Applications of Correlation and Spectral Analysis, 2nd edn. Wiley, New York (1993)
Altintas, Y.: Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design, pp. 35–42. Cambridge University Press, Cambridge (2000)
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© 2016 The Society for Experimental Mechanics, Inc.
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Magnevall, M., Beno, T. (2016). Improved Cutting Force Measurements in Milling Using Inverse Filtering. In: Brandt, A., Singhal, R. (eds) Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, Volume 9. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-30087-0_1
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DOI: https://doi.org/10.1007/978-3-319-30087-0_1
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