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– Webinar –

Advancing Battery Technology with SEM/EDS: Optimizing Quality and Performance

As the world shifts towards electric vehicles and renewable…

– Tech Note –

Large-scale SEM Imaging with Automated Image Mapping

Acquiring large-scale images using SEM can result in trade-offs…

Product Brochure
Phenom SEM Automation

ParticleX Battery

A selection of different batteries

In battery manufacturing, analysis of battery materials such as NCM (lithium-nickel-cobalt-manganese or Li-Ni-Co-Mn) powders are essential ingredients in high performance Li-ion batteries. The particle size distribution of the active material impacts battery performance while minute impurities can lead to catastrophic device failures. To effectively detect and trace these contaminants, the application of high-resolution scanning electron microscopy (SEM) paired with energy-dispersive X-ray spectroscopy (EDS) is imperative.

ParticleX Battery is a flexible solution that enables expedited analysis, authentication, and categorization of materials, providing production support with swift, accurate, and reliable data.

High-Throughput

Analyze up to 10,000 particles per hour

Quantitative

Particle size, morphology, and composition

Integrated EDS

Visualize NCM powder composition through ternary diagrams

Custom Workflows

Customizable recipes and actionable reporting

Talk to an Instrumentation Specialist Today!

ParticleX Battery

Package Features

Classification based on Conductance

By assigning a conductance value to each particle class, it becomes possible to sort and categorize particles based on their conductance. This facilitates a more precise assessment of the impact of contamination, as organic contamination would not have the same severity as a metallic foreign particle.

Ternary diagram

Ternary diagrams can be created to provide an overview of the chemical composition of the entire particle population. This diagram represents all the particles and displays their relative proportions on each axis, with Ni, Co, and Mn being the key components. By analyzing the diagram, it becomes easy to identify the outliers and the general trends that emerge from batch-to-batch or as a result of different processing. 

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