# -*- coding: utf-8 -*-
# This file is part of pyChemEngg python package.
# PyChemEngg: A python-based framework to promote problem solving and critical
# thinking in chemical engineering.
# Copyright (c) 2021 Harvinder Singh Gill <profhsgill@gmail.com>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
"""Module to compute physical properties of liquid water.
"""
import numpy as np
import os
def _loadwater_data():
__location__ = os.path.realpath(
os.path.join(os.getcwd(), os.path.dirname(__file__)))
water = []
file_to_open = "data_waterproperties.txt"
with open(os.path.join(__location__, file_to_open),"r") as water_file:
for line in water_file:
water.append([float(eval(x)) if x != "nan" else np.nan for x in line.strip().split()])
water_file.close()
water_data = np.array(water)
return water_data
[docs]def density(T=None):
r""" Provides density of liquid water at a temperature T.
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which density is required.
Returns
-------
density : `int or float`
Density (kg/m3) at temperature T .
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.density(T=32.5)
995.0
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,2])
[docs]def viscosity(T=None):
r""" Provides viscosity of liquid water at a temperature T.
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which viscosity is required.
Returns
-------
Viscosity: `int or float`
Dynamic viscosity (kg/ms) at temperature T.
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.viscosity(T=50)
0.0005470000000000001
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,9])
[docs]def specificheat(T=None):
r""" Provides specific heat of liquid water at a temperature T.
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which specific heat is required.
Returns
-------
specific heat : `int or float`
Specific heat (J/kg K) at temperature T.
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.specificheat(T=32.5)
4178
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,5])
[docs]def thermalconductivity(T=None):
r""" Provides thermal conductivity of liquid water at a temperature T.
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which thermal conductivity is required.
Returns
-------
Thermal conductivity : `int or float`
Thermal conductivity (W/mK) at temperature T.
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.thermalconductivity(T=42.5)
0.634
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,7])
[docs]def heatofvaporization(T=None):
r""" Provides heat of vaporization of liquid water at a temperature T.
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which heat of vaporization is required.
Returns
-------
Heat of vaporization : `int or float`
Heat of vaporization (J/kg) at temperature T.
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.heatofvaporization(T=68)
2338800.0
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,4])*1e3
[docs]def prandtlnumber(T=None):
r""" Provides Prandtl number of liquid water at a temperature T
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which Prandtl number is required.
Returns
-------
Prandtl number: `int or float`
Prandtl number at temperature T.
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.prandtlnumber(T=42.5)
0.7248
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,11])
[docs]def volumeexpansioncoefficient(T=None):
r""" Provides volume expansion coefficient of liquid water at a temperature T
Parameters
----------
T : `int or float`
Temperature in 'Celsius' at which volume expansion coefficient is required.
Returns
-------
Volume expansion coefficient : `int or float`
Volume expansion coefficient (1/K) at temperature T.
Notes
-----
Look up table adapted from ref [1].
Linear interpolation is performed when the temperature lies
between tabulated entries.
Examples
--------
First import the module **waterliquidproperties**.
>>> from pychemengg.physicalproperties import waterliquidproperties as wlp
>>> wlp.volumeexpansioncoefficient (T=42.5)
0.000396
References
----------
[1] Yunus A. Cengel and Afshin J. Ghajar, "Heat And Mass Transfer
Fundamentals and Applications", 6th Edition. New York, McGraw Hill
Education, 2020.
"""
water_data = _loadwater_data()
return np.interp(T, water_data[:,0], water_data[:,13])
Cp = specificheat(T=18)
# col_0 = 'Temp (C)';
# col_1 = 'Saturation pressure (kPa)';
# col_2 = 'Density (liquid, kg/m3)';
# col_3 = 'Density (vapor, kg/m3)';
# col_4 = 'Enthaly/Heat of vaporization/condensation kJ/kg';
# col_5 = 'Specific heat (liquid) J/kg K';
# col_6 = 'Specific heat (vapor) J/kg K';
# col_7 = 'Thermal cond (liquid) W/mK';
# col_8 = 'Thermal cond (vapor) W/mK';
# col_9 = 'Dynamic viscosity (liquid) kg/m s';
# col_10 = 'Dynamic viscosity (vapor) kg/m s';
# col_11 = 'Prandtl Number (liquid)';
# col_12 = 'Prandtl Number (vapor)';
# col_13 = 'Volume expansion coefficient (liquid), beta 1/K';