Abstract
AbstractRobot machining processes with high material removal rates lack of high path accuracy mainly due to the low stiffness of industrial robots. The low stiffness leads to process forces caused deviations of the tool center point (TCP) from the planned position of more than 1 mm in industrial applications. To enhance the path accuracy a novel hybrid compliance compensation is developed. It combines a force sensor and model based online compensation with forces of an offline simulation to instantly react to predictable high force changes e.g. at a milling cutter exit from the work piece. The method is applied to a KUKA KR 300 robot. A compliance model based on a forward kinematic with virtual joints is implemented on an external controller. Cartesian or axis specific compensation values are calculated and transferred to the robot via a control circuit. A compliance measurement method is developed and a force torque sensor is mounted to the flange of the robot. The system is validated in with Cartesian and axis specific compensation values as well as with and without pilot control.
Funder
Bundesministerium für Wirtschaft und Energie
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference22 articles.
1. Abele E, Kulok M, Weigold M (2005) Analysis of a machining industrial robot. In: Proceedings of the 10th international scientific conference on production engineering-CIM2005, Lumbarda, Croatia, pp II 1–11
2. Baier C, Hähn F, Tepper C, Weigold M (2019) Robot-based hybrid production concept. In: Wulfsberg JP, Hintze W, Behrens BA (eds) Production at the leading edge of technology. Springer, Berlin, pp 451–460. https://doi.org/10.1007/978-3-662-60417-5_45
3. Brunete A, Gambao E, Koskinen J, Heikkilä T, Kaldestad KB, Tyapin I, Hovland G, Surdilovic D, Hernando M, Bottero A, Anton S (2018) Hard material small-batch industrial machining robot. Robot Comput Integr Manuf 54:185–199. https://doi.org/10.1016/j.rcim.2017.11.004
4. Denkena B, Bergmann B, Lepper T (2017) Design and optimization of a machining robot. Procedia Manuf 14:89–96. https://doi.org/10.1016/j.promfg.2017.11.010
5. Denkena B, Brüning J, Windels L, Euhus D, Kirsch S, Overbeck D, Lepper T (2017) Holistic process planning chain for robot machining. Prod Eng 11(6):715–722. https://doi.org/10.1007/s11740-017-0771-2
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