Analysis of the Variety of Lithium-Ion Battery Modules and the Challenges for an Agile Automated Disassembly System

Within this paper the initial steps for the realisation of an agile automated system for battery module disassembly will be presented. The state of the art battery modules need to be analysed with regards to their structure, components and the relationship of the components to each other. In particular, the key challenges in battery module disassembly up to cell level are identified and classified in order to systematically derive the requirements for the disassembly system. The identified challenges for automated disassembly are twofold: process-related and product-related. The variety of battery modules can be seen as a product-related challenge, while non-detachable joints combined with the hazards posed by Li-ion batteries can be described as process-related challenge. An approach for capturing the variety of battery modules is done by using the methodology of a morphological box

Design and implementation of a holistic framework for data integration in industrial machine and sensor networks

Digitalization and connectivity trends in industrial plants and production equipment create vast and heterogeneous networks of data sources, data sinks and various communication protocols. Data fusion and evaluation of these resources result in high costs for data integration and maintenance. Therefore, we propose a new framework, called MyGateway, enabling effortless integration of heterogeneous data sources, their fusion within the framework and publication to data sinks as needed. For easy integration, deployment, and expansion of the framework we provide an implementation in JAVA using open-source adapters for common industrial protocols and a simple API for usage in user specified setups

Anomaly Detection in Li-ion cell Contacting – Innovative Anomaly Detection in Laser Welding: A Pipeline Based on Radiation Emission Analysis and Machine Learning.; [Anomalieerkennung bei der Li-Ionen-Zellkontaktierung]

Die vorliegende Studie untersucht die KI-basierte Anomalieerkennung beim Kontaktierprozess von Li-Ionen-Batterieelektroden. Zur Datenge- nerierung wurden Schweißproben mit zwei gezielt eingebrachten De- fekten hergestellt. Auf Basis der aufgezeichneten Strahlungsemissio- nen können die Fehlertypen aus den Zeitreihendaten durch Merkmals- extraktion und Clusterbildung voneinander unterschieden und gegen- über den defektfreien Referenzproben erfolgreich abgegrenzt werden

Systematic quantitative investigation of the unscrewing process with regard to breakaway torque

Threaded connections make up the majority of separable connections used today. Their disassembly behaviour strongly depends on the conditions during the life-phase. With the trend towards circular economy, disassembly particularly for remanufacturing requires automation. For production systems this mandates a certain capability of adaptation towards different product conditions. In the regarded case of dismantling threaded connections, this is the automatic selection of appropriate robot tools. One important criterion for the tool-selection is the breakaway torque, which strongly depends on friction parameters within the threads and the head surface. Those are influenced by e.g. corrosion and head type. In this contribution, the results of a systematic experimental investigation of the breakaway torque of threaded connections is presented. The aim of the contribution is to determine the influence on the breakaway torque of typical factors appearing in automated disassembly systems. Therefore, a total of 90 experiments are conducted which include five factors: Nominal diameter; Screw head type; Corrosion; Plate material; Applied torque during assembly