sur.apps module¶

sur.envelope module¶

sur.envelope_sp module¶

sur.eos module¶

class sur.eos.SRK¶

Bases: sur.eos.CubicModel

Soave modification of Redlich–Kwong EOS

MODEL_ID = 1¶

MODEL_NAME = 'SRK'¶

class sur.eos.PR¶

Bases: sur.eos.CubicModel

Peng–Robinson equation of state

MODEL_ID = 2¶

MODEL_NAME = 'PR'¶

class sur.eos.RKPR¶

Bases: sur.eos.CubicModel

RKPR equation of state

MODEL_ID = 3¶

MODEL_NAME = 'RKPR'¶

classmethod from_constants(tc, pc, acentric_factor, vc=None, del1=None, rhoLsat_t=(), pvdat=())¶

Given the constants of a pure compound, returns a tuple of arrays with the same constants adjusted and the arrays of correspond model’s parameters.

Constants requires tc, pc, and acentric_factor as mandatory and vc or del1 or rhoLsat_t=(rhoLsat, T).

If a point pvdat = (P, T) is given, it’s used as a constraint to calculate the vapor pressure

Returns:	(constants, model_parameters)

Where:

constants = array([tc, pc, acentric_factor, vc])
models_parameters =  array([ac, b, del1, rk])

classmethod from_parameters(ac, b, del1, rk)¶

Given the model’s parameters, returns a tuple of arrays with the pure compound constants adjusted and the the ajusted model’s array of parameters.

Returns:	(constants, model_parameters)

Where:

constants = array([Tc, Pc, acentric_factor, Vc])
models_parameters =  array([ac, b, del1, rk])

sur.eos.get_eos(model)¶

sur.manage module¶

sur.models module¶

sur.plots module¶

Plot shortcuts utilities

sur.plots.multiplot(envelopes=None, experimental_envelopes=None, formats=None, critical_point='o', experimental_colors=None, experimental_markers=None, legends=None)¶: merge the plot of multiples envelopes

sur.settings module¶

sur.tools module¶

sur.units module¶

Module contents¶

sur.data(a)¶

sur.setup_database()¶

this is a hackish trick.

It setup the django enviroment through setup_environ(settings)

Then populates the database but, instead of fixtures, it dumps db on disk (‘disk’) to a memory one (‘default’), and then syncs the missing tables on the latter.