As part of the research project “Deep Learning based crimp force curve analysis for holistic, intelligent process monitoring” (DeepCrimpact) funded by the German Federal Ministry of Education and Research, a crimping machine from Schäfer Werkzeug- und Sondermaschinenbau GmbH was successfully commissioned.

With this machine, the chair complements its technical equipment for crimping machines by a semi-automatic machine with 20 kN pressing force. The EPS 2001 crimping machine is designed for crimping single wires or multi-core sheathed cables with wire cross-sections of up to 6 mm² to automatically fed terminals and is equipped with a BB07i4 crimp force monitor. The system is a semi-automatic machine, whereby the wires are inserted manually by an operator and the crimping process is actuated by a foot switch. Within the scope of the project, test series are to be carried out with this system and the crimp force curves recorded are to be used for teaching a Deep Learning model. The goal of the DeepCrimpact project is the development, implementation and validation of a Deep Learning-based curve monitoring system, which allows a targeted, holistic and traceable process evaluation based on process curves.

The chair FAPS would like to thank the company Schäfer for providing this crimping machine.

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