liquid_pure_sr#

liquid_pure_sr(phase, T='pore.temperature', Tc='param.critical_temperature', MW='param.molecular_weight', Tb='param.boiling_temperature')[source]#

Calculates the thermal conductivity of a pure liquid using the correlation in [1]

Parameters:

  • phase (OpenPNM Phase object) – The phase object to which this model is associated (i.e. attached). This controls the length of the calculated array(s), and also provides access to other necessary properties.

  • T (str (dict key) or numeric) – Name of the dictionary key on phase containing the ndarray of temperature values, in units of [K]. If a numerical value is passed (i.e. a scalar or ndarray) it gets used directly.

  • Tc (str (dict key) or numeric) – Name of the dictionary key on phase containing the ndarray of critical temperature values, in units of [K]. If a numerical value is passed (i.e. a scalar or ndarray) it gets used directly.

  • MW (str (dict key) or numeric) – Name of the dictionary key on phase containing the ndarray of molecular weight values, in units of [g/mol]. If a numerical value is passed (i.e. a scalar or ndarray) it gets used directly.

  • Tb (str (dict key) or numeric) – Name of the dictionary key on phase containing the ndarray of boiling temperature values, in units of [K]. If a numerical value is passed (i.e. a scalar or ndarray) it gets used directly.

Returns:

value – A numpy ndarray containing thermal conductivity values in [W/m.K]

Return type:

ndarray

References

[1] Sato et al

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