Detection and identification of disturbances by spectral analysis of structure-borne noise during the production of a sealing seam

Authors

Felix Kruppa, Robert Bosch GmbH, Stuttgart, Germany and Dresden University of Technology, Chair of Processing Machines/Processing Technology, Dresden, GermanyFollow
Lars Meisenbach, BestSens AG, Coburg, GermanyFollow
Berend Oberdorfer Dr.-Ing., Syntegon Technology GmbH, Waiblingen, GermanyFollow
Bernd Wilke Prof. Dr.-Ing., Consultancy in Packaging, Eichenweg 8, 71397 Leutenbach, Germany, former Bosch Packaging GmbH, WaiblingenFollow

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Abstract

When sealing, disturbances or errors can occur that impair the quality of the sealing seam and, in the worst case, lead to leaks. It is therefore important to identify and eliminate defective packages during production and to minimize the elimination by readjusting machine parameters. The aim of this article is the clear identification of seam quality problems on a vertical forming, filling and sealing machine SVE2520 by evaluating process parameters during the manufacturing process. For this purpose, the structure-borne noise is measured for each seal in order to identify not-usual curves. These not-usual curves are related to different disturbances or errors. By combining sensors technology, data analysis and step-by-step clustering, most damage images can be clearly differentiated from one another and that only by using the structure-borne noise.

Recommended Citation

Kruppa, Felix; Meisenbach, Lars; Oberdorfer, Berend Dr.-Ing.; and Wilke, Bernd Prof. Dr.-Ing. (2022) "Detection and identification of disturbances by spectral analysis of structure-borne noise during the production of a sealing seam," Journal of Applied Packaging Research: Vol. 14: No. 1, Article 1.
Available at: https://repository.rit.edu/japr/vol14/iss1/1