Abstract
An approach for the systematic choice of process parameters by observing the entire machining process in milling is presented. There is a varying workpiece dynamics due to the machining, wherefore a distinct change of stability characteristics is possible. The new contribution of this paper is an approach using parametric model order reduction in stability analysis. Both parametric model order reduction and stability analysis of time-delayed systems are topics of current research although their combination is hardly investigated. The approach is very efficient compared to full models or other ideas described in literature, like parametric model order reduction based on substructuring. Thus, the continuous representation of the varying workpiece dynamics enables stability analysis as well as time-domain simulations with reasonable computation times.
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Acknowledgements
The authors would like to thank the German Research Foundation (DFG) for financial support of the project within the Cluster of Excellence in Simulation Technology (EXC 310/2) at the University of Stuttgart. In addition, the authors would like to thank Dr.-Ing. Achim Fischer and Dr.-Ing. Michael Baumann, both from our institute, for the cooperation in this research project, their preparation of many issues and many discussions during work. A previous version of this paper was presented at the IMSD conference 2016 in Montreal [20]. The authors want to thank the editors for inviting this extended and revised paper for the journal.
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Hamann, D., Eberhard, P. Stability analysis of milling processes with varying workpiece dynamics. Multibody Syst Dyn 42, 383–396 (2018). https://doi.org/10.1007/s11044-017-9604-5
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DOI: https://doi.org/10.1007/s11044-017-9604-5