Multi-mass damper transfer project - Application of spatially distributed passive damper systems in a machine tool

Key Info

Basic Information

01.08.2018 to 31.01.2021
Organizational Unit:
Chair of Machine Tools, Machine Data Analytics and NC-Technology
German Research Foundation DFG



Marcel Fey



+49 241 80 27409



The dynamic behaviour is decisive for the performance of modern machine tools. The design of passive dynamic auxiliary systems such as auxiliary mass dampers can have a positive influence on dynamic compliance by means of targeted vibration damping, primarily in existing machines. The advantage of passive auxiliary systems over active systems is the possibility of cost-effective retrofitting through simple design implementation and low follow-up costs. Disadvantages are the high locally required installation space of the auxiliary system, the iterative and time-consuming commissioning and the susceptibility to changes in the structural dynamic behaviour of the basic system.

Within the first funding period of the research project BR 2905/57-1 "Optimal positioning and design of multi-mass dampers within a combined topology optimisation procedure", on which this knowledge transfer project is based, a novel analytical design approach for multi-mass dampers and their automatic and optimal positioning was developed and practically verified on the test bench. By the distribution of the auxiliary mass on many analytically designed single masses and the spatial distribution of the single masses on the structure the above mentioned disadvantages of auxiliary mass dampers shall be mitigated. The effectiveness and advantages of the multi-mass damper have been successfully demonstrated in the laboratory environment.

The aim of this transfer project is to transfer the knowledge and concepts gained, which were only put into practice for academic test operation, into a product which is suitable for industrial use and can be tested in operation. The aim is to gain knowledge for the further development of the optimal design and positioning, in particular with regard to process stability, which can be fed back into future research.