Autonomous assembly and disassembly – key technologies and links for the adaptive self-optimization of future circular production

• Autorzy: Ihlenfeldt Steffen , Lorenz Marcel , Frieß Uwe , Fritzsche Rayk

Identyfikatory

DOI

10.36897/jme/163522

• Języki publikacji: EN

Abstrakty

EN

European industry and beyond, faces the challenge of becoming carbon neutral within an unprecedented short timeframe. An important approach to achieve this goal is the transformation of the current economy to a circular economy. In this context, the reuse of technical products as well as their recycling are in the foreground. Flexibility and adaptability are crucial for the competitiveness of companies. Therefore, adaptive and autonomous assembly and disassembly systems are the key. Classically automated assembly systems are inflexible due to a mostly rigid and predefined sequence control and are mostly strongly oriented towards economic criteria. Existing autonomous production cells, with their focus on autonomy and failure-free operation, also reach their limits in terms of adaptivity. For this reason, intelligent systems are needed that are able to act autonomously and without interference, as well as to cope with complex and cognitively demanding situations and tasks.

Słowa kluczowe

EN

autonomous assembly; autonomous disassembly; autonomous level; circular economy

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2023
• Tom: Vol. 23, No. 2
• Strony: 5--15
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Ihlenfeldt Steffen

• Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany

autor

Lorenz Marcel

• Body Construction, Assembly and Disassembly, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany

autor

Frieß Uwe

• Body Construction, Assembly and Disassembly, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany

autor

Fritzsche Rayk

• Body Construction, Assembly and Disassembly, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany

Bibliografia

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• [12] Begleitforschung zum Technologieprogramm AUTONOMI, Institut für Innovation und Technik: Autonomik – Autonome und simulationsbasierte Systeme für den Mittelstand – Band 1 – Die Projekte.
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• [14] WIESE T., ABICHT J., FRIEDRICH C., et al., 2022, Flexible Skill-Based Control for Robot Cells in Manufacturing, https://doi.org/10.3389/frobt.1014476.
• [15] ABDOLMOHAMMADI T., RICHTER-TRUMMER V., AHRENS A. et al., 2023, Virtual Sensor-Based Geometry Prediction of Complex Sheet Metal Parts Formed by Robotic Rollforming, https://doi.org/10.3390/robotics12020033.
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).