Spectral Coherence Analysis between Grinding Interaction Forces and the Relative Motion of the Workpiece and the Cutting Tool
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Spectral Coherence Analysis between Grinding Interaction Forces and the Relative Motion of the Workpiece and the Cutting Tool

Authors: Abdulhamit Donder, Erhan Ilhan Konukseven

Abstract:

Grinding operation is performed in order to obtain desired surfaces precisely in machining process. The needed relative motion between the cutting tool and the workpiece is generally created either by the movement of the cutting tool or by the movement of the workpiece or by the movement of both of them as in our case. For all these cases, the coherence level between the movements and the interaction forces is a key influential parameter for efficient grinding. Therefore, in this work, spectral coherence analysis has been performed to investigate the coherence level between grinding interaction forces and the movement of the workpiece on our robotic-grinding experimental setup in METU Mechatronics Laboratory.

Keywords: Coherence analysis, correlation, FFT, grinding, Hanning window, machining, Piezo actuator, reverse arrangements test, spectral analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126135

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1083

References:


[1] K. Açıkgoz, “Prediction of cutting forces for robotic grinding processes with abrasive mounted bits,”, M. Sc. Thesis, METU Mech. Eng. Dept., Ankara, 2015
[2] A. Donder, i. Konukseven, “Active Compliance Control Structure Design for a Robotic-Grinding Machine Using a Piezo Actuator,” in Proceedings of the 17th International Conference On Machine Design and Production 2016, Bursa, Turkey.
[3] J.S. Bendat, A.G. Piersol, “Random Data: Analysis and Measurement Procedures,” 4th ed. John Wiley & Sons, New York. 2010, pp. 97-99, pp.389
[4] B. Denkena and O. Gümmer, “Active tailstock for precise alignment of precision forged crankshafts during grinding,” in 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering, vol. 12, pp. 121–126, 2013.
[5] A. Rashid and C. M. Nicolescu, “Active vibration control in palletised workholding system for milling,” International Journal of Machine Tools and Manufacture, vol. 46, no. 12-13, pp. 1626–1636, 2006.
[6] S. Lee, C. Li, D. Kim, J. Kyung, and C. Han, “The direct teaching and playback method for robotic deburring system using the adaptiveforce-control,” in 2009 IEEE International Symposium on Assembly and Manufacturing, 2009.
[7] J. Park, S.H. Kim, S. Kim, “Active compliant motion control for grinding robot,” in Proceedings of the 17th IFAC World Congress, Jun. 2008.
[8] Q. Liu, X. Chen, Y. Wang, and N. Gindy, “Empirical modelling of grinding force based on multivariate analysis,” Journal of Materials Processing Technology, vol. 203, no. 1-3, pp. 420–430, 2008.
[9] J. W. Cooley and J. W. Tukey. “An algorithm for the machine calculation of complex Fourier series.” Math. Of Comput., vol. 19, pp. 297- 301. April 1965.