Flow Boiling Frictional Pressure Drop Data for Six Refrigerants

Experimental frictional pressure gradient data for six refrigerants under flow boiling conditions, including R134a, R1234yf, R1234ze(E), R410A, R454C, and R455A. The dataset also contains predictions from four frictional pressure gradient correlations. Authored by Yifeng Hu and last updated on 2026-04 -17.

Use Cases

• Validate frictional pressure drop correlations based on experimental flow boiling data.
• Compare thermodynamic performance of different refrigerants based on pressure gradient measurements.
• Benchmark predictive models for two-phase flow systems based on the provided correlation predictions.

Strengths

• Includes data for six distinct refrigerants, enabling comparative analysis.
• Provides both experimental measurements and predictions from four established correlations.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 28.2 KB, indicating a limited scope.

Provenance

Source

figshare

Collection Method

Experimental data collection.

Time Range

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Freshness

Last updated 2026-04-17 23:31:15.

Geography

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