| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
16th Symposium on Green and Sustainable Technologies for Materials Manufacturing and Processing
|
| Presentation Title |
Non-Destructive Materials Phase Characterization of Black Mass in Battery Recycling Using 3D Automated Quantitative Mineralogy in the X-ray Microscope |
| Author(s) |
Andy Holwell, Ria Mitchell, Eddy Hill, Richard Taylor |
| On-Site Speaker (Planned) |
Andy Holwell |
| Abstract Scope |
Novel automated mineralogy techniques in X-ray microscopy, enhanced by deep-learning reconstruction, highlight details of the chemistry and morphology of battery black mass.
We present bulk non-destructive phase analysis techniques to characterize black mass for efficient recovery of metals. Recovery involves shredding and processing battery scrap to produce a black mass powder which is chemically treated to extract individual metals. The efficiency of this process depends on understanding composition, and how impurities interact with reagents to impair metal recovery.
Automated quantitative mineralogy techniques reveal the chemistry and morphology of cathode, anode, foil and other black mass components. Here we present a combined workflow in the scanning electron microscope for chemical characterization, and in 3D in the X-ray microscope for material classification and morphological measurement.
We show that 3D imaging from X-ray microscopy, combined with machine-learning reconstruction, improves segmentation, quantification and throughput of variable powder samples in battery recycling. |