Python PolynomialModelT Examples

Example #1

File: liquids.py Project: christoffkok/auxi.0

def _create_polynomial_model(symbol, degree):
    newmod = PolynomialModelT.create(h2o_dataset, symbol, degree)
    newmod.plot(h2o_dataset, _path('temp.pdf'), False)
    newmod.write(_path('data/h2o-%s.json' % symbol.lower()))

Example #2

File: liquids.py Project: christoffkok/auxi.0

    path = modules[__name__].__file__
    path = realpath(path)
    path = dirname(path)
    return join(path, relative_path)


def _create_polynomial_model(symbol, degree):
    newmod = PolynomialModelT.create(h2o_dataset, symbol, degree)
    newmod.plot(h2o_dataset, _path('temp.pdf'), False)
    newmod.write(_path('data/h2o-%s.json' % symbol.lower()))


h2o_dataset = DataSet(_path('data/dataset-h2o-lienhard2015.csv'))

# _create_polynomial_model('beta', 11)
# _create_polynomial_model('Cp', 10)
# _create_polynomial_model('k', 8)
# _create_polynomial_model('mu', 11)
# _create_polynomial_model('nu', 11)
# _create_polynomial_model('rho', 7)

h2o_dict = {}
h2o_dict['beta'] = PolynomialModelT.read(_path('data/h2o-beta.json'))
h2o_dict['Cp'] = PolynomialModelT.read(_path('data/h2o-cp.json'))
h2o_dict['k'] = PolynomialModelT.read(_path('data/h2o-k.json'))
h2o_dict['mu'] = PolynomialModelT.read(_path('data/h2o-mu.json'))
h2o_dict['nu'] = PolynomialModelT.read(_path('data/h2o-nu.json'))
h2o_dict['rho'] = PolynomialModelT.read(_path('data/h2o-rho.json'))

h2o = Material('Water', StateOfMatter.liquid, h2o_dict)

Example #3

File: liquids.py Project: kthnyt/auxi.0

    path = realpath(path)
    path = dirname(path)
    return join(path, relative_path)


def _create_polynomial_model(symbol, degree):
    newmod = PolynomialModelT.create(h2o_dataset, symbol, degree)
    newmod.plot(h2o_dataset, _path('temp.pdf'), False)
    newmod.write(_path('data/h2o-%s.json' % symbol.lower()))


h2o_dataset = DataSet(_path('data/dataset-h2o-lienhard2015.csv'))

# _create_polynomial_model('beta', 11)
# _create_polynomial_model('Cp', 10)
# _create_polynomial_model('k', 8)
# _create_polynomial_model('mu', 11)
# _create_polynomial_model('nu', 11)
# _create_polynomial_model('rho', 7)

h2o_dict = {
    'beta': PolynomialModelT.read(_path('data/h2o-beta.json')),
    'Cp': PolynomialModelT.read(_path('data/h2o-cp.json')),
    'k': PolynomialModelT.read(_path('data/h2o-k.json')),
    'mu': PolynomialModelT.read(_path('data/h2o-mu.json')),
    'nu': PolynomialModelT.read(_path('data/h2o-nu.json')),
    'rho': PolynomialModelT.read(_path('data/h2o-rho.json'))
}

h2o = Material('Water', StateOfMatter.liquid, h2o_dict)

Example #4

File: liquids.py Project: kthnyt/auxi.0

def _create_polynomial_model(symbol, degree):
    newmod = PolynomialModelT.create(h2o_dataset, symbol, degree)
    newmod.plot(h2o_dataset, _path('temp.pdf'), False)
    newmod.write(_path('data/h2o-%s.json' % symbol.lower()))

Example #5

File: gases.py Project: SShilo/auxi.0

def _path(relative_path):
    path = modules[__name__].__file__
    path = realpath(path)
    path = dirname(path)
    return join(path, relative_path)


def _create_polynomial_model(symbol, degree):
    newmod = PolynomialModelT.create(air_dataset, symbol, degree)
    newmod.plot(air_dataset, _path('temp.pdf'), False)
    newmod.write(_path('data/air-%s.json' % symbol.lower()))


air_dataset = DataSet(_path('data/dataset-air-lienhard2015.csv'))

# _create_polynomial_model('Cp', 14)
# _create_polynomial_model('k', 8)
# _create_polynomial_model('mu', 8)
# _create_polynomial_model('rho', 14)

air_dict = {}
air_dict['rho'] = IgRhoT(28.9645, 101325.0)
air_dict['Cp'] = PolynomialModelT.read(_path(r'data/air-cp.json'))
air_dict['mu'] = PolynomialModelT.read(_path(r'data/air-mu.json'))
air_dict['k'] = PolynomialModelT.read(_path(r'data/air-k.json'))
air_dict['beta'] = IgBetaT()

air = Material("Air", StateOfMatter.gas, air_dict)