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Characterizing Battery Recycling Residues with TESCAN TIMA

Automated mineralogy delivers precise, particle-scale insights into the composition and structure of black mass — supporting better process design and recovery efficiency.

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Black Mass: A Complex Mixture That Demands Detailed Characterization 

As lithium-ion battery usage grows, so does the urgency of recycling them efficiently. The core byproduct of mechanical and thermal battery treatment — black mass — contains a wide mix of electrode materials, current collector foils, graphite, and fragmented casings. Its composition varies by cell chemistry, usage, and processing method, making it difficult to evaluate with bulk analysis alone.

This study demonstrates how TESCAN TIMA provides comprehensive, particle-by-particle characterization of black mass. By combining automated EDS-based mineralogy with texture analysis, it becomes possible to assess material liberation, identify component associations, and evaluate recovery potential for key resources like lithium, cobalt, copper, and graphite.

Why Study Black Mass

with Tescan

01
Root of the Problem

Why Black Mass Composition Matters for Efficient Recycling

Black mass is often treated as a black box — chemically rich, but structurally undefined. Yet the quality of any battery recycling stream depends on how well materials are sorted and separated. Without a detailed understanding of particle-level composition, valuable metals may be lost to waste, or incompatible chemistries may degrade recovery purity.

Conventional bulk techniques like XRF or ICP-MS can quantify elements, but not the phases from which they originate, or whether they are liberated or locked. A better approach is needed — one that sees each particle as a data point and provides a complete picture of composition, morphology, and association.

02
Materials and Methods

Automated Mineralogy Across Particle Size Fractions

Black mass material from Accurec Recycling GmbH was classified into four size fractions: <63 µm, 63–125 µm, 125–500 µm, and 500–1000 µm. Samples were embedded in iodine-doped epoxy to allow EDS-based quantification of carbon-containing phases.

Each fraction was analyzed using TESCAN TIMA, with categorization scripts distinguishing between key lithium-ion battery components: graphite, Al/Cu foils, lithium cobalt oxide (LCO), nickel manganese cobalt oxides (NMC), nickel cobalt aluminum oxide (NCA), lithium iron phosphate (LFP), and casing alloys. Phase identification was supported by EDS mapping and matched to chemical assay data from XRF for accuracy validation. Liberation and association metrics were calculated directly within the TIMA software.

03
Results and Discussion

Compositional Trends, Phase Associations, and Liberation Analysis

TIMA results showed a clear shift in material distribution across size fractions. Copper foils were most abundant in coarse particles, while graphite and oxidized aluminum foils occurred more frequently in the fine fractions. The analysis also confirmed a 2:1 weight ratio of LCO to NMC particles, with trace amounts of NCA and LFP. Crucially, liberation analysis showed that copper current collectors separate more efficiently from graphite than aluminum does from lithium metal oxides.

This behavior likely results from binder interactions, which cause oxide particles to remain attached to foils. TIMA also revealed the presence of alloy fragments and complex associations — including Cu entraining small Al or lithium metal oxide (LMO) particles — especially in the mid-size ranges. These findings provide direct evidence for refining mechanical treatment steps, optimizing sieving strategies, and adjusting chemical leaching stages based on actual particle behavior rather than assumptions.

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Tescan Instruments & Technology

Used in This Workflow

TESCAN TIMA

TESCAN TIMA provides integrated chemical and morphological analysis of multi-phase, heterogeneous materials — making it ideal for characterizing battery recycling output such as black mass.

  •  High-throughput EDS-based particle classification

  • Quantitative liberation and association analysis

  • Flexible scripting for custom phase categorization 
TIMA GM

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Where can you find us: 

Tescan Brno
Libušina třída 21
623 00 Brno
Czech Republic

info@Tescan.com