Volume 8, No. 3, May 2019

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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International Journal of Mechanical Engineering and Robotics Research
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Potential of the Force Distribution Measurement in Deep Drawing Processes for Increasing the Process Quality

Wolfgang Zorn, Lucas Hamm, Roman Elsner, Welf-Guntram Drossel
Fraunhofer IWU, Dresden, Germany

Abstract—This paper presents experimental results of a novel approach for measuring the forces in forming machines. The basis for this approach is the development and arrangement of a modular measuring system which can be integrated between tool and ram of the forming machine. The modular character of the system allows it to be applied to any tool size and shape. A special focus of the application presented here is the recording of the local and temporal distribution of the forces and their significance with regard to component quality. In this way, it can be shown how changes in the process affect the distribution of force, for example by deliberately detuning the tool. In addition, statements on time and place can be derived from possible crack formation. In this way, the measuring system can be used for continuous process monitoring.

Index Terms—smart manufacturing, smart production systems, sensor integration, process control

Cite: Wolfgang Zorn, Lucas Hamm, Roman Elsner, Welf-Guntram Drossel, "Potential of the Force Distribution Measurement in Deep Drawing Processes for Increasing the Process Quality," International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 3, pp. 449-453, May 2019. DOI: 10.18178/ijmerr.8.3.449-453