material-properties-db

Query temperature-dependent fluid properties using standard correlations like Andrade and Vogel to retrieve viscosity and density values at user-specified temperatures for heat transfer calculations. It applies NIST and IAPWS reference data to fetch accurate thermophysical properties.

Temperature-dependent vapor pressure and transport properties are estimated using Andrade, Vogel, Walther, and Sutherland correlations. These standard correlations combine with NIST and IAPWS reference data to provide quick property estimates for liquids and gases.

Yes, it supports HVAC simulations and pump design by providing temperature-dependent fluid properties needed to calculate Reynolds number and NPSH. You can query substances like water at specific temperatures, such as 60°C, to obtain actionable transport and thermophysical data.

Yes, numpy is required as a dependency to query thermophysical properties from standard correlations and reference data. The tool relies on numpy to process Andrade, Vogel, Walther, and Sutherland correlations for viscosity, density, and vapor pressure lookups.

The best way to retrieve liquid and gas properties across a temperature range is by querying standard reference data sources like NIST and IAPWS. This approach applies viscosity and density correlations to fetch transport properties at user-specified temperature points.

Correlation-based estimates for material property lookup should not be used when exact experimental data is required for critical safety margins, as correlations like Walther and Sutherland provide quick design checks rather than certified reference values.