Skip to main content
SpringerLink
Log in

Sonic analysis in cut-off grinding of concrete

  • Machine Tool
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

The machining of concrete with diamond cutting discs is nowadays often done with all-purpose tools and unadjusted machine parameters due to unknown material properties. The inhomogeneous structure of concrete ideally requires continuous process monitoring and real time adjustment of machine parameters. A joined research project of the Institute of Production Engineering and Machine Tools (IFW) and the Institute of Mineralogy (IM) is aimed at enabling process monitoring by means of using acoustic emission (AE) and airborne sound generated by the grinding tools. This paper presents the applied methods and first results. AE and airborne sound measurements show a correlation between the signal intensity and the aggregates present in the concrete. It is shown here that spectral analysis of measured signals can give information about the process and the workpiece structure being cut.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Finck F (2005) Untersuchung von Bruchprozessen in Beton mit Hilfe der Schallemissionsanalyse. Dr.-Ing. Dissertation, Universität Stuttgart

  2. Apmann H (2004) Seilschleifen von metallischen und mineralischen Bauwerkstoffen. Dr.-Ing. Dissertation, Leibniz Universität Hannover

  3. Fachverband Betonbohren und –sägen: Handbuch Betonbohren und –sägen. Fügen 1999

  4. Karpuschewski B, Wehnmeier M, Inasaki I (2000) Grinding monitoring system based on power and acoustic emission sensors. CIRP Ann 49(1):235–240

    Google Scholar 

  5. Inasaki I (1985) Inprocess detection of cutting tool breakage with acoustic emission signals. Proceeding of the 25th International Machine Tool Design and Research Conference, pp. 245–250

  6. Wang Z, Willet P, DeAguiar PR, Webster J (2001) Neural network detection of grinding burn from acoustic emission. Int J Mach Tools Manuf 41(2):283–309

    Article  Google Scholar 

  7. Karpuschewski B (2001) Sensoren zur Prozessüberwachung beim Spanen. Professorial Dissertation, Leibniz Universität Hannover

  8. Meding M (1996) Beschreibung von Graniten mit Hilfe von Schallemissions-Charakteristika. Industrie Diamanten Rundschau 30(1):43–47

    Google Scholar 

  9. Lee Y, Chang AK, Dornfeld DA (2002) Acoustic emission monitoring for the diamond machining of oxygen-free high-conductivity copper. J Mater Process Technol 127(2):199–205

    Article  Google Scholar 

  10. Dornfeld DA, Oliveira JFG, Lee D, Valente CMO (2003) Analysis of tool and workpiece interaction in diamond turning using graphical analysis of acoustic emission. CIRP Ann 52(1):479–482

    Article  Google Scholar 

  11. Dietmann J (1988) Viel Lärm beim Schleifen. Industrie-Anzeiger 8:8–9

    Google Scholar 

  12. Scherger A (1980) Geräuschminderung beim Trennen von Gestein. VDI-Z 122 3:97–99

    Google Scholar 

  13. Scherger A (1981) Schwingungs- und Geräuschuntersuchungen an Trennscheiben mit metallischem Kern. Dr.-Ing. Dissertation, Leibniz Universität Hannover

  14. Ota Y, Wilamowski BM. Identifying cutting sound characteristics in machine tool industry with a neural network. The 1998 IEEE international conference on neural networks proceedings 3:2459–2464

  15. Hamrol A, Janocha H (1989) Was das menschliche Ohr hört … Erkennen des Schleifscheibenverschleißes beim Innenrundschleifen. TZ für Metallbearbeitung 83(6):48–52

    Google Scholar 

  16. Heckel M, Müller HA (1994) Taschenbuch der Technischen Akustik. Berlin

  17. Rahman SH (1993) The videographic method: a new procedure for the simulation and reconstruction of real structures. Acta Crystallogr 49:56–68

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Production Engineering and Machine Tools (IFW), Leibniz Universität Hannover, An der Universität 2, 30823, Garbsen, Germany

    Berend Denkena, David Boehnke & Benjamin Konopatzki

  2. Institute of Mineralogy (IM), Leibniz Universität Hannover, Callinstrasse 3, 30167, Hannover, Germany

    Josef-Christian Buhl, Sameh Rahman & Lars Robben

Authors
  1. Berend Denkena
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David Boehnke
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Benjamin Konopatzki
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Josef-Christian Buhl
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sameh Rahman
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Lars Robben
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Benjamin Konopatzki.

Additional information

The investigations presented in this paper are kindly supported by the German Research Foundation (DFG) within the project “Method for characterization of the machinability of brittle-hard compound material”.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Denkena, B., Boehnke, D., Konopatzki, B. et al. Sonic analysis in cut-off grinding of concrete. Prod. Eng. Res. Devel. 2, 209–218 (2008). https://doi.org/10.1007/s11740-008-0093-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-008-0093-5

Keywords

Search

Navigation