Electromagnetic Flow Tomography Velocity Field Reconstructions

A dataset from Ossi Lehtikangas, published in 2020, containing results from a proposed Bayesian reconstruction method for electromagnetic flow tomography. The method estimates the vz-component of velocity fields on pipe cross-sections to address limitations of conventional flow meters in asymmetric flows. It tests different asymmetric velocity fields encountered near pipe elbows, solids-in-water flows in inclined pipes, and stratified or multiphase flows.

Use Cases

• Train inverse problem models to reconstruct vz-component velocity fields from simulated boundary voltage data.
• Benchmark finite-element-based computational forward models for predicting boundary voltages in electromagnetic flow tomography setups.
• Analyze velocity field estimation accuracy in complex pipe flows like those near elbows or in multiphase conditions.

Strengths

• Data is associated with a peer-reviewed scientific method for velocity field reconstruction published in 2020.
• Focuses on testing velocity fields in specific, industrially relevant scenarios like pipe elbows and multiphase flows.
• Released under the permissive CC0 1.0 public domain license.

Limitations

• The specific data format, size, row count, and column structure are unknown from the input.
• The dataset's generation is tied to a specific computational model and may not be directly applicable to other measurement setups.
• No sample data is available to inspect the actual data structure or values.

Provenance

Source

Dryad

Collection Method

Generated via a finite-element-based computational forward model and a Bayesian inverse problem framework for electromagnetic flow tomography.

Freshness

Last updated on 2020-06-24.