SKM 2023 – scientific programme
Parts | Days | Selection | Search | Updates | Downloads | Help
O: Fachverband Oberflächenphysik
O 26: Poster: New Methods
O 26.2: Poster
Monday, March 27, 2023, 18:00–20:00, P2/EG
Spectral characterization of battery components from Li-ion battery recycling processes — •Julia Richter1,2, Sandra Lorenz2, Christian Röder1, Roman Tschagaew1, Yuleika Carolina Madriz Diaz2, Erik Herrmann2, Richard Gloaguen2, and Johannes Heitmann1 — 1TU Bergakademie Freiberg, Institute of Applied Physics, Leipziger Str. 23, D-09599 Freiberg (Germany) — 2Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institue Freiberg for Resource Technology, Chemnitzer Str. 40, D-09599 Freiberg (Germany)
The rapid identification of critical compounds in recycling material streams is crucial for an adequate sorting. Recently, the development of adapted multi-sensor systems as well as advanced multi-source data fusion for real-time data integration is in the scope of several research activities. This work deals with the digitalisation of mechanical separation processes in recycling of Li-ion batteries using data which were acquired by hyperspectral sensors. In order to establish a reference data set of the valuable components Al and Cu, in this study a sample set of Al and Cu foils was examined by reflectance spectroscopy in the range (350 * 2500) nm. Based on point measurements and statistical data from imaging sensors, optical material characteristics of the samples were analysed. Proposals for optical sorting steps and possible challenges will be outlined and discussed. This work is financially supported by the Federal Ministry of Education and Research (BMBF) in the framework of the greenBatt cluster within the project DIGISORT.[1] [1] www.greenbatt-cluster.de/de/projekte/digisort/