Cyclone Separator CFD Simulation Data for Lithium Battery Material Recycling

A computational fluid dynamics (CFD) simulation dataset from a paper proposing a cyclone separator for recycling lithium iron phosphate (LFP) from spent batteries. The study, authored by Xiaoxian Pang, investigates particle motion and separation efficiency, reporting results such as a 61.22% LFP separation efficiency after 20 simulated continuous injections. The dataset is associated with an Open Access (green) license.

Use Cases

• Training or validating machine learning models for particle separation efficiency based on simulated flow field and injection conditions.
• Benchmarking new battery recycling methods against the reported separation efficiencies and purities (e.g., 91% LFP mass purity).
• Analyzing the relationship between particle density differences and classification phenomena in cyclone separators as described in the simulation.

Strengths

• The description provides specific, quantitative performance metrics, such as 61.22% separation efficiency and 92.53% mass purity for LFP.
• The simulation methodology (computational fluid dynamics) is explicitly stated, suggesting a structured, physics-based data generation process.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The last update date is unknown; freshness unverified.

Provenance

Source

Xiaoxian Pang via paperswithcode

Collection Method

Data generated from computational fluid dynamics (CFD) simulations of a cyclone separator.