ANN Samples Generation Using 2D Dynamic …
393
and F z components were extracted. For both cases, the cutting tool was considered
a rigid body and the nose radius 0.
The final part reconstructed the overall dynamic behavior of the milling process
and converted the results from forces expressed in polar coordinates system into
cartesian coordinate system which are usually associated with the machine tool.
Depending on the application for which it is used, the method offers the possibility
of using the cutting forces or the force’s spectrum directly as input. This situation
can be found in a wide range of applications like deflection predictions, frequency
response cases or a combination of the two having known the tool point frequency
response functions (FRF).
The results are conclusive, although no emphasis has been placed on numerical
validation in this paper, the proof of concept has been made and the results obtained
have suggested that this method is scalable and shows realistic prospects for future
research.
Acknowledgements This research was supported by Siemens Industry Software România.
References
1. C. Yue, H. Gao, X. Liu, S.Y. Liang, L. Wang, A review of chatter vibration research in milling.
Chin. J. Aeronaut. 32(2), 215–242 (2019). https://doi.org/10.1016/j.cja.2018.11.007
2. A. Wang, W. Jin, W. Chen, R. Feng, C. Xu, Bifurcation and chaotic vibration of frictional chatter
in turning process. Adv. Mech. Eng. 10(4), 1–8 (2018). https://doi.org/10.1177/168781401877
1262
3. M. Kaymakci, Z.M. Kilic, Y. Altintas, Unified cutting force model for turning, boring, drilling
and milling operations. Int. J. Mach. Tools Manuf. 54–55, 34–45 (2012). https://doi.org/10.1016/
j.ijmachtools.2011.12.008
4. G. Özden, F. Mata, M.Ö. Öteyaka, Artificial neural network modeling for prediction of cutting
forces in turning unreinforced and reinforced polyamide. J. Thermoplast. Compos. Mater. (2019).
https://doi.org/10.1177/0892705719845712
5. T.L. Schmitz, K. Scott Smith, in Machining Dynamics. 2nd edn. Springer, Switzerland (2019).
https://doi.org/10.1007/978-3-319-93707-6
393
and F z components were extracted. For both cases, the cutting tool was considered
a rigid body and the nose radius 0.
The final part reconstructed the overall dynamic behavior of the milling process
and converted the results from forces expressed in polar coordinates system into
cartesian coordinate system which are usually associated with the machine tool.
Depending on the application for which it is used, the method offers the possibility
of using the cutting forces or the force’s spectrum directly as input. This situation
can be found in a wide range of applications like deflection predictions, frequency
response cases or a combination of the two having known the tool point frequency
response functions (FRF).
The results are conclusive, although no emphasis has been placed on numerical
validation in this paper, the proof of concept has been made and the results obtained
have suggested that this method is scalable and shows realistic prospects for future
research.
Acknowledgements This research was supported by Siemens Industry Software România.
References
1. C. Yue, H. Gao, X. Liu, S.Y. Liang, L. Wang, A review of chatter vibration research in milling.
Chin. J. Aeronaut. 32(2), 215–242 (2019). https://doi.org/10.1016/j.cja.2018.11.007
2. A. Wang, W. Jin, W. Chen, R. Feng, C. Xu, Bifurcation and chaotic vibration of frictional chatter
in turning process. Adv. Mech. Eng. 10(4), 1–8 (2018). https://doi.org/10.1177/168781401877
1262
3. M. Kaymakci, Z.M. Kilic, Y. Altintas, Unified cutting force model for turning, boring, drilling
and milling operations. Int. J. Mach. Tools Manuf. 54–55, 34–45 (2012). https://doi.org/10.1016/
j.ijmachtools.2011.12.008
4. G. Özden, F. Mata, M.Ö. Öteyaka, Artificial neural network modeling for prediction of cutting
forces in turning unreinforced and reinforced polyamide. J. Thermoplast. Compos. Mater. (2019).
https://doi.org/10.1177/0892705719845712
5. T.L. Schmitz, K. Scott Smith, in Machining Dynamics. 2nd edn. Springer, Switzerland (2019).
https://doi.org/10.1007/978-3-319-93707-6