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Assisted setup of forming processes: architecture for the integration of non-adjustable disturbances
Ist Teil von
Procedia CIRP, 2019, Vol.81, p.1348-1353
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2019
Link zum Volltext
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
Due to production flexibility, progressive tools are having to produce continually smaller batch sizes. A technician installs these tools in high-speed presses and adjusts several punch-bending operations manually via adjustment screws. Unpredictable disturbances like deviations in material thickness, temperatures, lubrication, or tool wear can all complicate the setup procedure.
In this paper, an approach is proposed in order to compensate unpredictable, but measurable disturbances for these tools. For this, an architecture is introduced which is based on conventional statistical methods, which are combined with machine learning approaches, in order to optimize the setup process of the tools continuously.