polymerViscosity.polymerViscosity Namespace Reference

Surrogate function and model for Polymer viscosity. More...

Variables
	f_polymerViscosity
	Surrogate function for polymer viscosity. More...
	inputs = json.load(jsonfile)
	contents of unifiedInput.json
	X_gel = inputs['kinetics']['gelPoint']
	gel point
list	par = [4.1e-8, 38.3e3, 4.0, -2.0, X_gel]
	literature data
list	par2 = [10.3e-8, 41.3e3, 1.5, 1.0, X_gel]
	literature data
list	par3 = [3.32e-8, 42.9e3, 2.32, 1.4, X_gel]
	literature data
list	par4 = [4.1e-8, 38.3e3, 4.0, -2.0, X_gel]
	based on literature data, but gel point changed to 0.5 (Baser and Khakhar)
list	par5 = [3.1e0, 2.24e3, 3.5, -2.0, X_gel]
	literature data
list	par6 = [1.6e-7, 44.9e3, 1.29, 1.86, X_gel]
	literature data
list	par7 = [2.49707805e-13, 6.88758966e+04, 1.03553549e+01, -1.46554648e+01, 0.5]
	based on BASF data for 100 s^-1 shear rate, you must use 0.5 for gel point
list	par8 = [7.03759789e-17, 8.91382466e+04, 1.32209736e+01, -1.82153953e+01, 0.5]
	based on BASF data for 1 s^-1 shear rate, you must use 0.5 for gel point
	m_polymerViscosity
	Surrogate model for polymer viscosity. More...

Detailed Description

Surrogate function and model for Polymer viscosity.

Author

Pavel Ferkl

Copyright

2014-2016, MoDeNa Project. GNU Public License.

Polymer viscosity python module

Contains a definition of surrogate function and surrogate model. The surrogate model is Forward mapping. Thus, no detail model is present. The parameters of the model are provided instead. Several sets of parameters based on literature and experiments are provided and can be selected. Model needs to be re-initialized after the change of parameters.

Variable Documentation

f_polymerViscosity

polymerViscosity.polymerViscosity.f_polymerViscosity

Initial value:

=  CFunction(
    Ccode=,
    # These are global bounds for the function
    inputs={
        'T': {'min': 200, 'max': 550 },
        'X': {'min': 0, 'max': 1 },
    },
    outputs={
        'mu': {'min': 0, 'max': +9e99, 'argPos': 0},
    },
    parameters={
        'param1': {'min': -1e9, 'max': 1e9, 'argPos': 0},
        'param2': {'min': -1e9, 'max': 1e9, 'argPos': 1},
        'param3': {'min': -1e9, 'max': 1e9, 'argPos': 2},
        'param4': {'min': -1e9, 'max': 1e9, 'argPos': 3},
        'param5': {'min': -1e9, 'max': 1e9, 'argPos': 4},
    },
)

Surrogate function for polymer viscosity.

Polymer viscosity is a function of temperature and conversion.

Definition at line 58 of file polymerViscosity.py.

m_polymerViscosity

polymerViscosity.polymerViscosity.m_polymerViscosity

Initial value:

=  ForwardMappingModel(
    _id='polymerViscosity',
    surrogateFunction=f_polymerViscosity,
    substituteModels=[],
    parameters=par,
)

Surrogate model for polymer viscosity.

Forward mapping model is used.

Definition at line 138 of file polymerViscosity.py.