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Mipi
Lectures
Modelling physical and biological systems
Commits
547e34b1
Commit
547e34b1
authored
2 years ago
by
Delvigne Frank
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547e34b1
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 27 07:52:51 2020
@author: delvigne
"""
import
math
from
math
import
pi
## Basic data : pilot bioreactor
D1
=
1
#m
d1
=
D1
/
3
#%m -> standard geometry
N1
=
180
/
60
#s-1
rho
=
1000
#Kg/m3
mu
=
0.001
#Pa.s dynamic viscosity
N_p
=
5.4
#Power number
N_qc
=
1.5
#Circulation number
## Computation at pilot scale
Periph_speed_pilot
=
pi
*
N1
*
d1
#m/s
Q_c_pilot
=
N_qc
*
N1
*
((
D1
/
3
)
**
3
)
#Circulation flow rate m3/s
V_pilot
=
pi
*
D1
**
3
/
4
#m3
t_c_pilot
=
V_pilot
/
Q_c_pilot
#circulation time s
## Basic data : industrial bioreactor
V_indus
=
50
#m3
## Scaling-up criteria : volumetric power
Re
=
rho
*
N1
*
((
D1
/
3
)
**
2
)
/
mu
# if > 10^4 -> turbulent regime
P
=
N_p
*
rho
*
(
N1
**
3
)
*
((
D1
/
3
)
**
5
)
# One impeller
P_V
=
P
/
V_pilot
# Volumetric power (W/m3)
## Computation at industrial scale
P_indus
=
P_V
*
V_indus
#W
D2
=
((
4
*
V_indus
)
/
pi
)
**
(
1
/
3
)
#m
d2
=
D2
/
3
#m
N2
=
(
P_indus
/
(
rho
*
N_p
*
d2
**
5
))
**
(
1
/
3
)
#s-1
Periph_speed_indus
=
pi
*
N2
*
d2
#m/s
Q_c_indus
=
N_qc
*
N2
*
((
D2
/
3
)
**
3
)
#Circulation flow rate m3/s
t_c_indus
=
V_indus
/
Q_c_indus
#circulation time s
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