Monitoring of cutting conditions with the empirical mode decomposition

• Autorzy: Wolszczak P. , Łygas K. , Litak G.

Identyfikatory

DOI

10.12913/22998624/68467

• Języki publikacji: EN

Abstrakty

EN

In this paper, we apply empirical mode decomposition by Huang and Hilbert to transform signals recorded during a milling process. Vibroacoustic sensors recorded vibrations of a tool-workpiece system while milling with the end mill of a special shape of “Hi-Feed”. The results of Huang-Hilbert analysis provide the information about amplitudes and frequencies of empirical modal components. Application of Huang-Hilbert transform to cutting conditions monitoring allows the separation of various vibration components caused by phenomena associated with the drive system and the machine components. Therefore, the analysis highlights vibrations caused by known sources of vibration, such as spindle speed, the number of teeth of the cutting tool or the frequency of vibration tools. Furthermore, signal components generated in the cutting zone were identified. The resulting information helps to assess the working conditions of cutting tools, selection of cutting parameters and tool wear monitoring.

Słowa kluczowe

EN

monitoring; cutting condition; milling process

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2017
• Tom: Vol. 11, no 1
• Strony: 96--103
• Opis fizyczny: Bibliogr. 17 poz., fig.

Twórcy

autor

Wolszczak P.

• Lublin University of Technology, Mechanical Engineering Faculty, Department of Automation, Nadbystrzycka 36, 20-618 Lublin, Poland

autor

Łygas K.

• Lublin University of Technology, Mechanical Engineering Faculty, Department of Automation, Nadbystrzycka 36, 20-618 Lublin, Poland

autor

Litak G.

• Lublin University of Technology, Mechanical Engineering Faculty, Department of Automation, Nadbystrzycka 36, 20-618 Lublin, Poland

Bibliografia

• 1. Altintas Y. Manufacturing automation. Metal cutting mechanics, machine tool vibrationa, and CNC design. Cambridge, New York 2000.
• 2. Feldman M. Hilbert transform in vibration analysis, Mechanical Systems and Signal Processing 25 (2011) 735-802.
• 3. Hilbert D. Grundzuege einer allgemeinen Theorie der linearen Integralgleichungen, Chelsea Pub. Co., New York 1953.
• 4. Huang N.E., Shen Z., Long S.R., Wu M.L.C., Shih H.H., Zheng Q.N., Yen N.C., Tung C.C., Liu H.H. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proceedings of Royal Society London A454 (1998) 903-993.
• 5. Insperger T., Gradisek J., Kalveram M., Stepan G., Winert K., Govekar E., Machine tool chatter and surface location error in milling processes, Journal of Manufacturing Science and Engineering 128, 913–920 (2006).
• 6. Lajmert P. An application of Hilbert-Huang transform and principal component analysis for diagnostics of cylindrical plunge grinding process, Journal of Machine Engineering 10 (2010) 39-49.
• 7. Litak G., Kecik K., Rusinek R. Cutting force response in milling of Inconel: Analysis by wavelet and Hilbert-Huang transforms. Latin American Journal of Solids and Structures 10, (2013) 133-140.
• 8. Litak G., Rusinek R. Dynamics of a stainless steel turning process by statistical and recurrence analyses. Meccanica 47 (2012) 1517-1526.
• 9. Litak G., Syta A., Rusinek R. Dynamical changes during composite milling: recurrence and multiscale entropy analysis. International Journal of Advanced Manufacturing Technology 56 (2011) 445-453.
• 10. Litak G., Rusinek R. Vibrations in stainless steel turning: multifractal and wavelet approaches. Journal of Vibroengineering 13 (2011) 102-108.
• 11. Mann B.P., Insperger T., Bayly P.V., Stepan G., Stability of up-milling and down-milling, part 2: experimental verification, Int. J. Mach. Tools Manuf. 43, 35–40 (2003).
• 12. Mann B.P., Bayly P.V., Davies M.A., Halley J.E., Limit cycles, bifurcations, and accuracy of the milling process, J. Sound Vibr. 277, 31–48 (2004).
• 13. Płaska S., Wolszczak P. Zastosowanie analizy MES i pomiarów drgań w procesie ulepszania konstrukcji frezów. In: Innovative Manufacturing Technology. V. 2, Kraków: Instytut Zaawansowanych Technologii Wytwarzania, 2012, 55-62.
• 14. Sen A.K., Litak G., Syta A., Rusinek R. Intermittency and multiscale dynamics in milling of fiber reinforced composites. Meccanica 48 (2013) 783-789.
• 15. Tuysuz O., Altintas Y, Feng H-Y. Prediction of cutting forces in three and five-axis ball-end milling with tool indentation effect. International Journal of Machine Tools & Manufacture 66 (2013) 66–81.
• 16. Wolszczak P., Płaska S., Dziuba M. Optymalizacja skrawania materiału Inconel 713 podczas procesu wyważania wirników turbosprężarek. Mechanik 6 (2012) 311-318.
• 17. Wolszczak P., Płaska S., Dziuba M. Wpływ zmiany geometrii narzędzi typu high feed, przeznaczonych do frezowania materiałów trudnoobrabialnych, na ich trwałość. Mechanik 6 (2012) 319-326.

Uwagi

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