Identification of weak spots in the metrological investigation of dynamic machine behaviour

Brecher, C., Denkena, B., Grossmann, K., Steinmann, P. , Bouabid, A., Heinisch, D., Hermes, R. and Loser, M. (2011) Identification of weak spots in the metrological investigation of dynamic machine behaviour. Production Engineering, 5(6), pp. 679-689. (doi: 10.1007/s11740-011-0339-5)

Full text not currently available from Enlighten.


Both the measurement of frequency response functions and the modal analysis are established tools for the measurement of the dynamic compliance of machine tools. State of the art measurement technique enables an allocation of dynamic weak points of the machine structure and optimization of the machine design on the basis of these measurement results. In recent applications the metrological investigation is used for the parameterization and the verification of simulation models to describe the dynamic behaviour of machine tools, which demands high standards regarding to the quantitative quality of measurement results. This paper describes the interlaboratory comparison test, which has been carried out at well-known German research institutes and was initiated by the Laboratory for Machine Tools and Production Engineering (WZL) of the RWTH Aachen. In this regard, the question is discussed, to what extent the compliance behaviour of machine structures under real process conditions corresponds to behaviour, determined in metrological investigation under idealized test conditions.

Item Type:Articles
Additional Information:The authors would like to thank the Deutsche Forschungsgemeinschaft (DFG) for its financial support for the priority programme 1180 “Prediction and influence of the interaction of structures and processes” as well as for their support in carrying out the work of the interlaboratory comparison test.
Glasgow Author(s) Enlighten ID:Steinmann, Professor Paul
Authors: Brecher, C., Denkena, B., Grossmann, K., Steinmann, P., Bouabid, A., Heinisch, D., Hermes, R., and Loser, M.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:Production Engineering
ISSN (Online):1863-7353
Published Online:16 September 2011
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record