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Licensed Unlicensed Requires Authentication Published by Oldenbourg Wissenschaftsverlag October 23, 2020

Evaluation of the acoustic emission caused by the chip segmentation frequency during machining of titanium alloy

Evaluierung der durch die Segmentspanbildungsfrequenz bei der Zerspanung von Titanlegierungen verursachten akustischen Emissionen
Daniel Schwär ORCID logo, Germán González, Eric Segebade, Frederik Zanger and Michael Heizmann
From the journal tm - Technisches Messen

Abstract

This work investigates the relationship between acoustic emission and chip segmentation frequency of Ti-6Al-4V at the external longitudinal turning process. Therefore, several sensors like structure borne sensors, microphones and a force dynamometer have been installed in a vertical turning machine. To induce a change of the segmentation frequency, several experiments with different feed rates have been carried out. From each experiment the acoustic emissions have been recorded and the generated chips have been analyzed. Since the chips get stretched or compressed during the chip formation the change in the length is calculated to get an estimation of the segmentation frequency. The comparison of the spectral analysis of the acoustic emission signals and the chip analysis has shown that both methods show the same tendency. The segmentation frequency decreases with increasing feed.

Zusammenfassung

In dieser Arbeit wird die Beziehung zwischen akustischer Emission und der Segmentspanbildungsfrequenz beim Außenlängsdrehen von Ti-6Al-4V untersucht. Dazu wurden in einer Vertikaldrehmaschine verschiedene Sensoren für Körperschall, Luftschall und eine Kraftmessplattform installiert. Um den Einfluss der Segmentspanbildungsfrequenz zu untersuchen, wurde bei den Experimenten der Vorschub variiert. Von jedem Experiment wurden die Schallemissionen aufgezeichnet und die dabei entstandenen Späne analysiert. Da die Späne während der Entstehung gedehnt bzw. komprimiert werden, wird die berechnete Längenänderung berücksichtigt, um eine Schätzung der Segmentspanbildungsfrequenz zu erhalten. Der Vergleich der Spektralanalyse der Schallemissionssignale und der Spananalyse zeigt, dass beide Methoden die gleiche Tendenz zeigen. Die Segmentierungsfrequenz nimmt mit zunehmendem Vorschub ab.


Dedicated to Fernando Puente León


Funding statement: The scientific work has been supported by the DFG within the research priority program SPP 2086 (ZA 785/3-1). The authors thank the DFG for this funding and intensive technical support.

Acknowledgment

The authors would like to thank Prof. Dr.-Ing. Fernando Puente León, who recently passed away unexpectedly, for his valuable support, and will always remember him.

References

1. Elias Abboud, Helmi Attia, Bin Shi, Ahmed Damir, Vince Thomson, and Y. Mebrahtu. Residual stresses and surface integrity of Ti-alloys during finish turning–guidelines for compressive residual stresses. Procedia CIRP, 45:55–58, 2016.10.1016/j.procir.2016.02.069Search in Google Scholar

2. Mahros Darsin and Hari Arbiantara Basuki. Development machining of titanium alloys: A review. In Applied Mechanics and Materials, volume 493, pages 492–500. Trans Tech Publ, 2014.10.4028/www.scientific.net/AMM.493.492Search in Google Scholar

3. Stefano Sartori, Alberto Bordin, Stefania Bruschi, and Andrea Ghiotti. Machinability of the EBM Ti6Al4V in cryogenic turning. In Key Engineering Materials, volume 651, pages 1183–1188. Trans Tech Publ, 2015.10.4028/www.scientific.net/KEM.651-653.1183Search in Google Scholar

4. Tuǧrul Özel and Durul Ulutan. Prediction of machining induced residual stresses in turning of titanium and nickel based alloys with experiments and finite element simulations. CIRP annals, 61(1):547–550, 2012.10.1016/j.cirp.2012.03.100Search in Google Scholar

5. Frederik Zanger. Segmentspanbildung, Werkzeugverschleiß, Randschichtzustand und Bauteileigenschaften: Numerische Analysen zur Optimierung des Zerspanungsprozesses am Beispiel von Ti-6Al-4V. PhD thesis, Aachen, 2012. Karlsruhe, KIT, Diss., 2012.Search in Google Scholar

6. Frederik Zanger, Andreas Kacaras, Matthias Bächle, Markus Schwabe, Fernando Puente León, and Volker Schulze. FEM simulation and acoustic emission based characterization of chip segmentation frequency in machining of Ti-6Al-4V. Procedia CIRP, 72:1421–1426, 2018.10.1016/j.procir.2018.03.196Search in Google Scholar

7. Vinh Nguyen, Patxi Fernandez-Zelaia, and Shreyes N. Melkote. PVDF sensor based characterization of chip segmentation in cutting of Ti-6Al-4V alloy. CIRP Annals, 66(1):73–76, 2017.10.1016/j.cirp.2017.04.025Search in Google Scholar

Received: 2020-07-20
Accepted: 2020-09-08
Published Online: 2020-10-23
Published in Print: 2020-11-26

© 2020 Walter de Gruyter GmbH, Berlin/Boston