sato¶
- openpnm.models.phases.thermal_conductivity.sato(target, mol_weight='pore.molecular_weight', boiling_temperature='pore.boiling_point', temperature='pore.temperature', critical_temperature='pore.critical_temperature')[source]¶
Uses Sato et al. model to estimate thermal conductivity for pure liquids from first principles at conditions of interest
- Parameters
%(models.target.parameters)s –
boiling_temperature (string) – Dictionary key containing the toiling temperature of the component (K)
mol_weight (string) – Dictionary key containing the molecular weight of the component (kg/mol)
%(models.phase.T)s –
critical_temperature (string) – The dictionary key containing the critical temperature values (K)
- Returns
value – A numpy ndarray containing thermal conductivity values in [W/m.K]
- Return type
ndarray