Tyre Wear Particle Collection Data from Container Trailer Simulations and Experiments

Heavy container trailers generate complex aerodynamic interactions affecting tyre wear particle dispersion. The dataset contains results from a computational fluid dynamics simulation and scaled-down experimental validation of a novel collection strategy. Weisong Wang published the study in April 2026.

Use Cases

• Validate numerical simulation results against experimental data, using the reported maximum deviation of less than 6%.
• Analyze the effect of inlet angles (70°, 80°, and 60° triangular) for collection channels on particle collection efficiency.
• Study the relationship between vehicle speed (e.g., 80 km/h) and the achieved collection ratio exceeding 50%.
• Model particulate dispersion in complex flow fields created by multi-axle, short-wheelbase trailer layouts.

Strengths

• Simulation and experimental results show high agreement, with a maximum deviation of less than 6%.
• The study provides specific geometric parameters for collection channels, such as inlet angles of 70°, 80°, and 60°.

Limitations

• The dataset is small at 36.1 MB, indicating it likely contains documentation and figures rather than large-scale raw data.
• No raw columnar or time-series data from simulations or experiments is explicitly described or provided in the sample.

Provenance

Source

figshare, authored by Weisong Wang.

Collection Method

Data generated via Eulerian-Lagrangian computational fluid dynamics simulations and scaled-down laboratory experiments with a 3D-printed model.

Time Range

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Freshness

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Geography

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