WEBINAR | From Infrastructure to Impact: EM & Micro-CT in Materials Core Facilities

Raw Materials Optimization in Battery Production

Battery performance and reliability depend on the quality and consistency of raw materials. From lithium ores to nickel, cobalt, and graphite feedstocks, even small variations in mineralogy or particle composition can affect electrode manufacturing and cell efficiency.

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sub-area-Bateries-Raw_Materials_Optimization

Tescan solutions for Batteries:

Optimization of Raw Battery Materials
Using Tescan TIMA for Automated Mineralogy Characterization of Lithium Ore

Lithium extraction requires accurate quantification of minerals that often look alike. Tescan TIMA provides automated, high-throughput mineralogical mapping to ensure reliable resource evaluation and process design.

  • Differentiate spodumene and lepidolite from similar silicates
  • Identify trace lithium phases such as amblygonite often missed by SEM
  • Quantify liberation, grain size, and associations for process modeling
1_Characterization of lithium ores using correlative SEM imaging and EDS elemental mapping

Tescan Solutions

For Battery Raw Materials Optimization

Tescan TIMA

Automated SEM-based mineralogy for lithium ores and pegmatites.

  • Distinguish spodumene, lepidolite, and other lithium carriers
  • Map grain size, texture, and associations for recovery modeling
  • Quantify liberation across size fractions for process optimization 

 

TIMA GM

Explore the system that moves your research forward 

Tescan instruments are designed to help you get answers. Fast and precisely. Talk to our experts and see the solution in action. 

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Tescan
Libušina třída 21
623 00 Brno
Czech Republic

info@Tescan.com 

130405923 us US 37.09024 -95.712891 25.3575 29.349345 20.67957527 42.082797 39.91384763 -33.693421 13.93320106 3.039986586 31.997988 38.050985 47.579533 48.1485965 58.375799 54.663142 19.195447 56.975106 50.493053 45.868592 10.79556993 44.35660598 43.2371604 55.536415 14.557577179752773 32.100937 -6.116829 -6.212299277967318 23.7104 -33.471062 31.998740087 -23.69149395 43.462349 51.529848 49.1893523 49.197486 25.072375 31.075811 1.299027 40.676979 52.30150662 51.013813 35.684121 37.479653 52.246622 40.581349 39.911632 -26.1811371 41.818215 33.429928

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