2026-07-19T23:52:00Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:13751 2024-03-06T10:31:14Z ddc:004 open_access

Physical Modeling of Process-Machine-Interactions in Micro Machining Lange, Andreas Kirsch, Benjamin Heintz, Marius Aurich, Jan C. multiphysics air bearing magnetic bearing surface roughness modeling micro milling Increasing demands for smaller and smarter devices in a variety of applications requires the investigation of process-machine-interactions in micro manufacturing to ensure process results that guarantee part functionality. One approach is the use of simulation-based physical models. In this contribution, methods for the physical modeling of high-precision air bearing and magnetic bearing spindles are presented in addition to a kinematic model of the micro milling process. Both models are superimposed in order to carry out investigations of the slot bottom surface roughness in micro end milling. The results show that process-machine-interactions in micro manufacturing can be modeled by the superposition of a physical model of the machine tool spindle taking cutting forces into consideration and a purely kinematic model of the machining process, providing the necessary tools for a variety of further investigations into process-machine-interactions in micro manufacturing. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Andreas Lange and Benjamin Kirsch and Marius Heintz and Jan C. Aurich 2021 Is Part Of OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.iPMVM.2020.2 urn:nbn:de:0030-drops-137512 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.2 eng https://creativecommons.org/licenses/by/4.0/legalcode