# Welcome to `pydrying` module!
`pydring` is a Python package intended to simulate the drying process. The simulation programs in this module are based on multiphysical and dynamic modeling of the drying phenomena (heat, mass & momentum transfer, and deformation of the drying product). The resolution of drying equations is based on the numerical method of finite volumes. This module calculates the drying kinetics of any solid product. The modeling of drying kinetics is essential in most transformation processes, such as the food industry (sugar industry, biomass refinery, fodder processing, etc.)
## Installation
WaterOptim runs under Python 3.6+. To install it with [pip](https://pip.pypa.io/en/stable/), run the following:
`pip install pydrying`
To upgrade it with [pip](https://pip.pypa.io/en/stable/), run the following:
`pip install --upgrade pydrying`
## Basic usage
### Thermophysical properties of drying material
from numpy import ones,exp
from pydrying.dry import thin_layer, material
# diffusion coeff in the material
def Diff(T,X):
"""
Parameters
----------
T : Temperature [°C]
X : TYPE
moisture content [dry basis]
Returns
-------
Diffusion coefficient [m2/s]
"""
return 1e-9*ones(len(T))
# sorption isotherms
def aw(T,X):
"""
Parameters
----------
T : Temperature [°C]
X : TYPE
moisture content [dry basis]
Returns
-------
water activity of the drying material [decimal]
"""
return (1.0-exp(-0.6876*(T+45.5555)*X*X))
# thermal conductivity of the drying material
def Lambda(T,X):
"""
Parameters
----------
T : Temperature [°C]
X : TYPE
moisture content [dry basis]
Returns
-------
thermal conductivity [W/m/K]
"""
return .02
### Geometric properties
material_shape = 0 # flat material, (1: cylinder, 2: sphere)
caracteristic_length = 1e-2 # m
### Drying conditions
drying_time = 3600 # s
heat_transfer_coefficient = 25 # W/m2/K
Drying air properties (pressure, temperature and relative humidity) can be set from python calss `air`.
### Definition of drying material
drying_material = material(Diff=Diff,aw=aw,Lambda=Lambda,
m=material_shape,
L=caracteristic_length,)
### Solve the problem of thin layer drying
problem = thin_layer(material=drying_material,air={},
h=heat_transfer_coefficient,
tmax=drying_time)
problem.solve()
### Water content plot
import matplotlib.pyplot as plt
plt.plot(tl.res.t, tl.res.Xmoy())
plt.xlabel("drying time in s")
plt.ylabel("moisture content in dry basis")
### Plot of material surface temperature
plt.plot(tl.res.t, tl.res.T[-1,:])
plt.xlabel("drying time in s")
plt.ylabel("material temperature in °C")
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"description": "# Welcome to `pydrying` module!\n\n`pydring` is a Python package intended to simulate the drying process. The simulation programs in this module are based on multiphysical and dynamic modeling of the drying phenomena (heat, mass & momentum transfer, and deformation of the drying product). The resolution of drying equations is based on the numerical method of finite volumes. This module calculates the drying kinetics of any solid product. The modeling of drying kinetics is essential in most transformation processes, such as the food industry (sugar industry, biomass refinery, fodder processing, etc.)\n\n## Installation\nWaterOptim runs under Python 3.6+. To install it with [pip](https://pip.pypa.io/en/stable/), run the following:\n`pip install pydrying`\nTo upgrade it with [pip](https://pip.pypa.io/en/stable/), run the following:\n`pip install --upgrade pydrying`\n## Basic usage\n### Thermophysical properties of drying material\n\n from numpy import ones,exp\n\tfrom pydrying.dry import thin_layer, material\n # diffusion coeff in the material\n\tdef Diff(T,X):\n \"\"\"\n Parameters\n ----------\n T : Temperature [\u00b0C]\n X : TYPE\n moisture content [dry basis]\n Returns\n -------\n Diffusion coefficient [m2/s]\n \"\"\"\n\t return 1e-9*ones(len(T))\n\t# sorption isotherms\n\tdef aw(T,X):\n \"\"\"\n Parameters\n ----------\n T : Temperature [\u00b0C]\n X : TYPE\n moisture content [dry basis]\n Returns\n -------\n water activity of the drying material [decimal]\n \"\"\"\n\t return (1.0-exp(-0.6876*(T+45.5555)*X*X))\n\t# thermal conductivity of the drying material\n\tdef Lambda(T,X):\n \"\"\"\n Parameters\n ----------\n T : Temperature [\u00b0C]\n X : TYPE\n moisture content [dry basis]\n Returns\n -------\n thermal conductivity [W/m/K]\n \"\"\"\n\t return .02\n### Geometric properties\n\n\tmaterial_shape = 0 # flat material, (1: cylinder, 2: sphere)\n\tcaracteristic_length = 1e-2 # m\n\n### Drying conditions\n\n\tdrying_time = 3600 # s\n\theat_transfer_coefficient = 25 # W/m2/K\n\nDrying air properties (pressure, temperature and relative humidity) can be set from python calss `air`.\n\n### Definition of drying material\n\n\tdrying_material = material(Diff=Diff,aw=aw,Lambda=Lambda,\n\t m=material_shape,\n\t L=caracteristic_length,)\n\n### Solve the problem of thin layer drying\n\n\tproblem = thin_layer(material=drying_material,air={},\n h=heat_transfer_coefficient,\n tmax=drying_time)\n\tproblem.solve()\n\n### Water content plot\n\n\t\timport matplotlib.pyplot as plt\n\t\tplt.plot(tl.res.t, tl.res.Xmoy())\n\t\tplt.xlabel(\"drying time in s\")\n\t\tplt.ylabel(\"moisture content in dry basis\")\n\n### Plot of material surface temperature\n\n\t\tplt.plot(tl.res.t, tl.res.T[-1,:])\n\t\tplt.xlabel(\"drying time in s\")\n\t\tplt.ylabel(\"material temperature in \u00b0C\")\n",
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