Source code for fluids.packed_tower

"""Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2016, Caleb Bell <Caleb.Andrew.Bell@gmail.com>

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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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SOFTWARE.

This module contains correlations and functions for calculating pressure drop
from packings and demisters; separation efficiency of demisters; demister
pressure drop; and demister geometry.

For reporting bugs, adding feature requests, or submitting pull requests,
please use the `GitHub issue tracker <https://github.com/CalebBell/fluids/>`_
or contact the author at Caleb.Andrew.Bell@gmail.com.


.. contents:: :local:

Packing Pressure Drop
---------------------
.. autofunction:: fluids.packed_tower.Robbins
.. autofunction:: fluids.packed_tower.Stichlmair_dry
.. autofunction:: fluids.packed_tower.Stichlmair_wet

Packing Flooding
----------------
.. autofunction:: fluids.packed_tower.Stichlmair_flood

Demister Pressure Drop
----------------------
.. autofunction:: fluids.packed_tower.dP_demister_dry_Setekleiv_Svendsen
.. autofunction:: fluids.packed_tower.dP_demister_dry_Setekleiv_Svendsen_lit
.. autofunction:: fluids.packed_tower.dP_demister_wet_ElDessouky

Demister Separation Efficiency
------------------------------
.. autofunction:: fluids.packed_tower.separation_demister_ElDessouky

Demister Geometry
-----------------
.. autofunction:: fluids.packed_tower.voidage_experimental
.. autofunction:: fluids.packed_tower.specific_area_mesh
"""

from math import log, sqrt

from fluids.constants import g, pi
from fluids.numerics import newton_system, secant, solve_2_direct

__all__ = ['voidage_experimental', 'specific_area_mesh',
'Stichlmair_dry', 'Stichlmair_wet', 'Stichlmair_flood', 'Robbins',
'dP_demister_dry_Setekleiv_Svendsen_lit',
'dP_demister_dry_Setekleiv_Svendsen',
'dP_demister_wet_ElDessouky', 'separation_demister_ElDessouky']

### Demister

[docs]def dP_demister_dry_Setekleiv_Svendsen(S, voidage, vs, rho, mu, L=1.0): r'''Calculates dry pressure drop across a demister, using the correlation in [1]_. This model is for dry demisters with no holdup only. .. math:: \frac{\Delta P \epsilon^2}{\rho_f v^2} = 10.29 - \frac{565} {69.6SL - (SL)^2 - 779} - \frac{74.9}{160.9 - 4.85SL} + 45.33\left( \frac{\mu_f \epsilon S^2 L}{\rho_f v}\right)^{0.75} Parameters ---------- S : float Specific area of the demister, normally ~250-1000 [m^2/m^3] voidage : float Voidage of bed of the demister material, normally ~0.98 [] vs : float Superficial velocity of fluid, Q/A [m/s] rho : float Density of fluid [kg/m^3] mu : float Viscosity of fluid [Pa*s] L : float, optional Length of the demister [m] Returns ------- dP : float Pressure drop across a dry demister [Pa] Notes ----- Useful at startup and in modeling. Dry pressure drop is normally negligible compared to wet pressure drop. Coefficients obtained by evolutionary programming and may not fit data outside of the limits of the variables. Examples -------- >>> dP_demister_dry_Setekleiv_Svendsen(S=250, voidage=.983, vs=1.2, rho=10, mu=3E-5, L=1) 320.3280788941329 References ---------- .. [1] Setekleiv, A. Eddie, and Hallvard F. Svendsen. "Dry Pressure Drop in Spiral Wound Wire Mesh Pads at Low and Elevated Pressures." Chemical Engineering Research and Design 109 (May 2016): 141-149. doi:10.1016/j.cherd.2016.01.019. ''' term = 10.29 - 565./(69.6*S*L - (S*L)**2 - 779) - 74.9/(160.9 - 4.85*S*L) right = term + 45.33*(mu*voidage*S**2*L/rho/vs)**0.75 return right*rho*vs**2/voidage**2
[docs]def dP_demister_dry_Setekleiv_Svendsen_lit(S, voidage, vs, rho, mu, L=1.0): r'''Calculates dry pressure drop across a demister, using the correlation in [1]_. This model is for dry demisters with no holdup only. Developed with literature data included as well as their own experimental data. .. math:: \frac{\Delta P \epsilon^2}{\rho_f v^2} = 7.3 - \frac{320} {69.6SL - (SL)^2 - 779} - \frac{52.4}{161 - 4.85SL} + 27.2\left( \frac{\mu_f \epsilon S^2 L}{\rho_f v}\right)^{0.75} Parameters ---------- S : float Specific area of the demister, normally ~250-1000 [m^2/m^3] voidage : float Voidage of bed of the demister material, normally ~0.98 [] vs : float Superficial velocity of fluid, Q/A [m/s] rho : float Density of fluid [kg/m^3] mu : float Viscosity of fluid [Pa*s] L : float, optional Length of the demister [m] Returns ------- dP : float Pressure drop across a dry demister [Pa] Notes ----- Useful at startup and in modeling. Dry pressure drop is normally negligible compared to wet pressure drop. Coefficients obtained by evolutionary programming and may not fit data outside of the limits of the variables. Examples -------- >>> dP_demister_dry_Setekleiv_Svendsen_lit(S=250, voidage=.983, vs=1.2, rho=10, mu=3E-5, L=1.0) 209.083848658307 References ---------- .. [1] Setekleiv, A. Eddie, and Hallvard F. Svendsen. "Dry Pressure Drop in Spiral Wound Wire Mesh Pads at Low and Elevated Pressures." Chemical Engineering Research and Design 109 (May 2016): 141-149. doi:10.1016/j.cherd.2016.01.019. ''' term = 7.3 - 320./(69.6*S*L - (S*L)**2 - 779) - 52.4/(161 - 4.85*S*L) right = term + 27.2*(mu*voidage*S**2*L/rho/vs)**0.75 return right*rho*vs**2/voidage**2
[docs]def dP_demister_wet_ElDessouky(vs, voidage, d_wire, L=1.0): r'''Calculates wet pressure drop across a demister, using the correlation in [1]_. Uses only their own experimental data. .. math:: \frac{\Delta P}{L} = 0.002357(1-\epsilon)^{0.375798}(V)^{0.81317} (d_w)^{-1.56114147} Parameters ---------- vs : float Superficial velocity of fluid, Q/A [m/s] voidage : float Voidage of bed of the demister material, normally ~0.98 [] d_wire : float Diameter of mesh wire,[m] L : float, optional Length of the demister [m] Returns ------- dP : float Pressure drop across a dry demister [Pa] Notes ----- No dependency on the liquid properties is included here. Because of the exponential nature of the correlation, the limiting pressure drop as V is lowered is 0 Pa. A dry pressure drop correlation should be compared with results from this at low velocities, and the larger of the two pressure drops used. The correlation in [1]_ was presented as follows, with wire diameter in units of mm, density in kg/m^3, V in m/s, and dP in Pa/m. .. math:: \Delta P = 3.88178(\rho_{mesh})^{0.375798}(V)^{0.81317} (d_w)^{-1.56114147} Here, the correlation is converted to base SI units and to use voidage; not all demisters are stainless steel as in [1]_. A density of 7999 kg/m^3 was used in the conversion. In [1]_, V ranged from 0.98-7.5 m/s, rho from 80.317-208.16 kg/m^3, depth from 100 to 200 mm, wire diameter of 0.2mm to 0.32 mm, and particle diameter from 1 to 5 mm. Examples -------- >>> dP_demister_wet_ElDessouky(6, 0.978, 0.00032) 688.9216420105029 References ---------- .. [1] El-Dessouky, Hisham T, Imad M Alatiqi, Hisham M Ettouney, and Noura S Al-Deffeeri. "Performance of Wire Mesh Mist Eliminator." Chemical Engineering and Processing: Process Intensification 39, no. 2 (March 2000): 129-39. doi:10.1016/S0255-2701(99)00033-1. ''' return L*0.002356999643727531*(1-voidage)**0.375798*vs**0.81317*d_wire**-1.56114147
[docs]def separation_demister_ElDessouky(vs, voidage, d_wire, d_drop): r'''Calculates droplet removal by a demister as a fraction from 0 to 1, using the correlation in [1]_. Uses only their own experimental data. .. math:: \eta = 0.85835(d_w)^{-0.28264}(1-\epsilon)^{0.099625}(V)^{0.106878} (d_p)^{0.383197} Parameters ---------- vs : float Superficial velocity of fluid, Q/A [m/s] voidage : float Voidage of bed of the demister material, normally ~0.98 [] d_wire : float Diameter of mesh wire,[m] d_drop : float Drop diameter, [m] Returns ------- eta : float Fraction droplets removed by mass [-] Notes ----- No dependency on the liquid properties is included here. Because of the exponential nature of the correlation, for smaller diameters separation quickly lowers. This correlation can predict a separation larger than 1 for higher velocities, lower voidages, lower wire diameters, and large droplet sizes. This function truncates these larger values to 1. The correlation in [1]_ was presented as follows, with wire diameter in units of mm, density in kg/m^3, V in m/s, separation in %, and particle diameter in mm. .. math:: \eta = 17.5047(d_w)^{-0.28264}(\rho_{mesh})^{0.099625}(V)^{0.106878} (d_p)^{0.383197} Here, the correlation is converted to base SI units and to use voidage; not all demisters are stainless steel as in [1]_. A density of 7999 kg/m^3 was used in the conversion. In [1]_, V ranged from 0.98-7.5 m/s, rho from 80.317-208.16 kg/m^3, depth from 100 to 200 mm, wire diameter of 0.2 mm to 0.32 mm, and particle diameter from 1 to 5 mm. Examples -------- >>> separation_demister_ElDessouky(1.35, 0.974, 0.0002, 0.005) 0.8982892997640582 References ---------- .. [1] El-Dessouky, Hisham T, Imad M Alatiqi, Hisham M Ettouney, and Noura S Al-Deffeeri. "Performance of Wire Mesh Mist Eliminator." Chemical Engineering and Processing: Process Intensification 39, no. 2 (March 2000): 129-39. doi:10.1016/S0255-2701(99)00033-1. ''' eta = 0.858352355761947*d_wire**-0.28264*(1-voidage)**0.099625*vs**0.106878*d_drop**0.383197 return min(eta, 1.0)
[docs]def voidage_experimental(m, rho, D, H): r'''Calculates voidage of a bed or mesh given an experimental weight and fixed density, diameter, and height, as shown in [1]_. The formula is also self-evident. .. math:: \epsilon = 1 - \frac{\frac{m_{mesh}}{\frac{\pi}{4}d_{column}^2 L_{mesh}}}{\rho_{material}} Parameters ---------- m : float Mass of mesh or bed particles weighted, [kg] rho : float Density of solid particles or mesh [kg/m^3] D : float Diameter of the cylindrical bed [m] H : float Height of the demister or bed [m] Returns ------- voidage : float Voidage of bed of the material [] Notes ----- Should be trusted over manufacturer data. Examples -------- >>> voidage_experimental(m=126, rho=8000, D=1, H=1) 0.9799464771704212 References ---------- .. [1] Helsør, T., and H. Svendsen. "Experimental Characterization of Pressure Drop in Dry Demisters at Low and Elevated Pressures." Chemical Engineering Research and Design 85, no. 3 (2007): 377-85. doi:10.1205/cherd06048. ''' return 1 - m/(pi/4*D**2*H)/rho
[docs]def specific_area_mesh(voidage, d): r'''Calculates the specific area of a wire mesh, as used in demisters or filters. Shown in [1]_, and also self-evident and non-empirical. Makes the ideal assumption that wires never touch. .. math:: S = \frac{4(1-\epsilon)}{d_{wire}} Parameters ---------- voidage : float Voidage of the mesh [] d : float Diameter of the wires making the mesh, [m] Returns ------- S : float Specific area of the mesh [m^2/m^3] Notes ----- Should be preferred over manufacturer data. Can also be used to show that manufacturer's data is inconsistent with their claimed voidage and wire diameter. Examples -------- >>> specific_area_mesh(voidage=.934, d=3e-4) 879.9999999999994 References ---------- .. [1] Helsør, T., and H. Svendsen. "Experimental Characterization of Pressure Drop in Dry Demisters at Low and Elevated Pressures." Chemical Engineering Research and Design 85, no. 3 (2007): 377-85. doi:10.1205/cherd06048. ''' return 4*(1-voidage)/d
### Packing
[docs]def Stichlmair_dry(Vg, rhog, mug, voidage, specific_area, C1, C2, C3, H=1.): r'''Calculates dry pressure drop across a packed column, using the Stichlmair [1]_ correlation. Uses three regressed constants for each type of packing, and voidage and specific area. Pressure drop is given by: .. math:: \Delta P_{dry} = \frac{3}{4} f_0 \frac{1-\epsilon}{\epsilon^{4.65}} \rho_G \frac{H}{d_p}V_g^2 .. math:: f_0 = \frac{C_1}{Re_g} + \frac{C_2}{Re_g^{0.5}} + C_3 .. math:: d_p = \frac{6(1-\epsilon)}{a} Parameters ---------- Vg : float Superficial velocity of gas, Q/A [m/s] rhog : float Density of gas [kg/m^3] mug : float Viscosity of gas [Pa*s] voidage : float Voidage of bed of packing material [] specific_area : float Specific area of the packing material [m^2/m^3] C1 : float Packing-specific constant [] C2 : float Packing-specific constant [] C3 : float Packing-specific constant [] H : float, optional Height of packing [m] Returns ------- dP_dry : float Pressure drop across dry packing [Pa] Notes ----- This model is used by most process simulation tools. If H is not provided, it defaults to 1. If Z is not provided, it defaults to 1. Examples -------- >>> Stichlmair_dry(Vg=0.4, rhog=5., mug=5E-5, voidage=0.68, ... specific_area=260., C1=32., C2=7.0, C3=1.0) 236.80904286559885 References ---------- .. [1] Stichlmair, J., J. L. Bravo, and J. R. Fair. "General Model for Prediction of Pressure Drop and Capacity of Countercurrent Gas/liquid Packed Columns." Gas Separation & Purification 3, no. 1 (March 1989): 19-28. doi:10.1016/0950-4214(89)80016-7. ''' dp = 6*(1-voidage)/specific_area Re = Vg*rhog*dp/mug f0 = C1/Re + C2/sqrt(Re) + C3 return 3/4.*f0*(1-voidage)/voidage**4.65*rhog*H/dp*Vg**2
def _Stichlmair_wet_err(dP_irr, h0, c1, dP_dry, H, voidage, c): hT = h0*(1.0 + 20.0*dP_irr*dP_irr*c1) err = dP_dry/H*((1-voidage+hT)/(1.0 - voidage))**((2.0 + c)/3.)*(voidage/(voidage-hT))**4.65 -dP_irr/H return err
[docs]def Stichlmair_wet(Vg, Vl, rhog, rhol, mug, voidage, specific_area, C1, C2, C3, H=1.0): r'''Calculates dry pressure drop across a packed column, using the Stichlmair [1]_ correlation. Uses three regressed constants for each type of packing, and voidage and specific area. This model is for irrigated columns only. Pressure drop is given by: .. math:: \frac{\Delta P_{irr}}{H} = \frac{\Delta P_{dry}}{H}\left(\frac {1-\epsilon + h_T}{1-\epsilon}\right)^{(2+c)/3} \left(\frac{\epsilon}{\epsilon-h_T}\right)^{4.65} .. math:: h_T = h_0\left[1 + 20\left(\frac{\Delta Pirr}{H\rho_L g}\right)^2\right] .. math:: Fr_L = \frac{V_L^2 a}{g \epsilon^{4.65}} .. math:: h_0 = 0.555 Fr_L^{1/3} .. math:: c = \frac{-C_1/Re_g - C_2/(2Re_g^{0.5})}{f_0} .. math:: \Delta P_{dry} = \frac{3}{4} f_0 \frac{1-\epsilon}{\epsilon^{4.65}} \rho_G \frac{H}{d_p}V_g^2 .. math:: f_0 = \frac{C_1}{Re_g} + \frac{C_2}{Re_g^{0.5}} + C_3 .. math:: d_p = \frac{6(1-\epsilon)}{a} Parameters ---------- Vg : float Superficial velocity of gas, Q/A [m/s] Vl : float Superficial velocity of liquid, Q/A [m/s] rhog : float Density of gas [kg/m^3] rhol : float Density of liquid [kg/m^3] mug : float Viscosity of gas [Pa*s] voidage : float Voidage of bed of packing material [] specific_area : float Specific area of the packing material [m^2/m^3] C1 : float Packing-specific constant [] C2 : float Packing-specific constant [] C3 : float Packing-specific constant [] H : float, optional Height of packing [m] Returns ------- dP : float Pressure drop across irrigated packing [Pa] Notes ----- This model is used by most process simulation tools. If H is not provided, it defaults to 1. If Z is not provided, it defaults to 1. A numerical solver is used and needed by this model. Its initial guess is the dry pressure drop. Convergence problems may occur. The model as described in [1]_ appears to have a typo, and could not match the example. As described in [2]_, however, the model works. Examples -------- Example is from [1]_, matches. >>> Stichlmair_wet(Vg=0.4, Vl = 5E-3, rhog=5., rhol=1200., mug=5E-5, ... voidage=0.68, specific_area=260., C1=32., C2=7., C3=1.) 539.876823725352 References ---------- .. [1] Stichlmair, J., J. L. Bravo, and J. R. Fair. "General Model for Prediction of Pressure Drop and Capacity of Countercurrent Gas/liquid Packed Columns." Gas Separation & Purification 3, no. 1 (March 1989): 19-28. doi:10.1016/0950-4214(89)80016-7. .. [2] Piche, Simon R., Faical Larachi, and Bernard P. A. Grandjean. "Improving the Prediction of Irrigated Pressure Drop in Packed Absorption Towers." The Canadian Journal of Chemical Engineering 79, no. 4 (August 1, 2001): 584-94. doi:10.1002/cjce.5450790417. ''' dp = 6.0*(1.0 - voidage)/specific_area Re = Vg*rhog*dp/mug f0 = C1/Re + C2/sqrt(Re) + C3 dP_dry = 3/4.*f0*(1-voidage)/voidage**4.65*rhog*H/dp*Vg*Vg c = (-C1/Re - C2/(2*sqrt(Re)))/f0 Frl = Vl**2*specific_area/(g*voidage**4.65) h0 = 0.555*Frl**(1/3.) c1 = 1.0/(H*rhol*g) c1 *= c1 return secant(_Stichlmair_wet_err, dP_dry, args=(h0, c1, dP_dry, H, voidage, c))
def _Stichlmair_flood_f(inputs, Vl, rhog, rhol, mug, voidage, specific_area, C1, C2, C3, H): """Internal function which calculates the errors of the two Stichlmair objective functions, and their jacobian. """ Vg, dP_irr = float(inputs[0]), float(inputs[1]) dp = 6.0*(1.0 - voidage)/specific_area Re = Vg*rhog*dp/mug f0 = C1/Re + C2/sqrt(Re) + C3 dP_dry = 0.75*f0*(1.0 - voidage)/voidage**4.65*rhog*H/dp*Vg*Vg c = (-C1/Re - 0.5*C2*1.0/sqrt(Re))/f0 Frl = Vl*Vl*specific_area/(g*voidage**4.65) h0 = 0.555*Frl**(1/3.) hT = h0*(1.0 + 20.0*(dP_irr/H/rhol/g)**2) err1 = dP_dry/H*((1.0 - voidage + hT)/(1.0 - voidage))**((2.0 + c)/3.)*(voidage/(voidage-hT))**4.65 - dP_irr/H term = (dP_irr/(rhol*g*H))**2 err2 = (1./term - 40.0*((2.0+c)/3.)*h0/(1.0 - voidage + h0*(1.0 + 20.0*term)) - 186.0*h0/(voidage - h0*(1.0 + 20.0*term))) return err1, err2 def _Stichlmair_flood_f_and_jac(inputs, Vl, rhog, rhol, mug, voidage, specific_area, C1, C2, C3, H): """Internal function which calculates the errors of the two Stichlmair objective functions, and their jacobian. Derived using SymPy on the main flooding function. """ Vg, dP_irr = inputs[0], inputs[1] x0 = 1.0/H x1 = Vg*Vg x2 = voidage**(-4.65) x3 = specific_area*x2 x4 = Vl*Vl*x3/g x5 = x4**0.333333333333333 x6 = dP_irr*dP_irr x7 = H*H x8 = 1.0/x7 x9 = g*g x10 = 1.0/x9 x11 = rhol*rhol x12 = 1.0/x11 x13 = x5*(20.0*x10*x12*x6*x8 + 1.0) x14 = 0.555*x13 x15 = (voidage/(voidage - x14))**4.65 x16 = 1.0/Vg x17 = 1.0/rhog x18 = voidage - 1.0 x19 = 1.0/x18 x20 = C1*mug*specific_area*x16*x17*x19 x21 = 2.44948974278318*C2 x22 = Vg*rhog/(mug*specific_area) x23 = x21*1.0/sqrt(-x18*x22) x24 = 6.0*C3 - x20 + x23 x25 = 1.0 - voidage x26 = x14 + x25 x27 = -x19*x26 x28 = 2.0*C1*mug*specific_area*x16*x17/x25 + x21*1.0/sqrt(x22*x25) x29 = 1.0/x24 x30 = x28*x29 x31 = x27**(-0.166666666666667*x30 + 0.666666666666667) x32 = x11*x7*x9 x33 = 200.0*voidage x34 = 111.0*x13 x35 = x33 - x34 x36 = 1.0/x35 x37 = -x33 + x34 + 200.0 x38 = 1.0/x37 x39 = 2.0*x20 x40 = -4.0*x20 + x23 + x29*(-x23 + x39)*(x23 - x39) x41 = dP_irr*rhog*specific_area*x0*x1*x10*x12*x15*x2*x24*x31 x42 = dP_irr*x10*x12*x4**0.666666666666667*x8 F1, F2, dF1_dVg, dF2_dVg, dF1_dP_irr, dF2_dP_irr = ( -dP_irr*x0 + 0.0208333333333333*rhog*specific_area*x1*x15*x2*x24*x31, x32/x6 - 20646.0*x36*x5 - x38*x5*(2960.0 - 740.0*x28*x29), 0.00173611111111111*Vg*rhog*x15*x3*x31*(144.0*C3 - 12.0*x20 + 18.0*x23 + x40*log(x27)), x0*(430.125*x36*x41*x5 - 15.4166666666667*x38*x41*x5*(x30 - 4.0) - 1.0), -1.85*x16*x29*x40*x5/x26, 3285600.0*x42*(-x30 + 4.0)*x38*x38- 91668240.0*x42*x36*x36 - 2.0*x32/(dP_irr*x6)) err = [0.0]*2 err[0] = F1 err[1] = F2 jac = [[dF1_dVg, dF2_dVg], [dF1_dP_irr, dF2_dP_irr]]# numba: delete # jac = np.array([[dF1_dVg, dF2_dVg], [dF1_dP_irr, dF2_dP_irr]]) # numba: uncomment return err, jac
[docs]def Stichlmair_flood(Vl, rhog, rhol, mug, voidage, specific_area, C1, C2, C3, H=1.0): r'''Calculates gas rate for flooding of a packed column, using the Stichlmair [1]_ correlation. Uses three regressed constants for each type of packing, and voidage and specific area. Pressure drop is given by: .. math:: \frac{\Delta P_{irr}}{H} = \frac{\Delta P_{dry}}{H}\left(\frac {1-\epsilon + h_T}{1-\epsilon}\right)^{(2+c)/3} \left(\frac{\epsilon}{\epsilon-h_T}\right)^{4.65} .. math:: h_T = h_0\left[1 + 20\left(\frac{\Delta Pirr}{H\rho_L g}\right)^2\right] .. math:: Fr_L = \frac{V_L^2 a}{g \epsilon^{4.65}} .. math:: h_0 = 0.555 Fr_L^{1/3} .. math:: c = \frac{-C_1/Re_g - C_2/(2Re_g^{0.5})}{f_0} .. math:: \Delta P_{dry} = \frac{3}{4} f_0 \frac{1-\epsilon}{\epsilon^{4.65}} \rho_G \frac{H}{d_p}V_g^2 .. math:: f_0 = \frac{C_1}{Re_g} + \frac{C_2}{Re_g^{0.5}} + C_3 .. math:: d_p = \frac{6(1-\epsilon)}{a} Parameters ---------- Vl : float Superficial velocity of liquid, Q/A [m/s] rhog : float Density of gas [kg/m^3] rhol : float Density of liquid [kg/m^3] mug : float Viscosity of gas [Pa*s] voidage : float Voidage of bed of packing material [] specific_area : float Specific area of the packing material [m^2/m^3] C1 : float Packing-specific constant [] C2 : float Packing-specific constant [] C3 : float Packing-specific constant [] H : float, optional Height of packing [m] Returns ------- Vg : float Superficial velocity of gas, Q/A [m/s] Notes ----- A numerical solver is used to solve this model. Examples -------- Example is from [1]_, matches. >>> Stichlmair_flood(Vl = 5E-3, rhog=5., rhol=1200., mug=5E-5, ... voidage=0.68, specific_area=260., C1=32., C2=7., C3=1.) 0.6394323542746928 References ---------- .. [1] Stichlmair, J., J. L. Bravo, and J. R. Fair. "General Model for Prediction of Pressure Drop and Capacity of Countercurrent Gas/liquid Packed Columns." Gas Separation & Purification 3, no. 1 (March 1989): 19-28. doi:10.1016/0950-4214(89)80016-7. ''' guess = [0.0]*2 guess[0] = Vl*100.0 guess[1] = 1000.0 return newton_system(_Stichlmair_flood_f_and_jac, x0=guess, jac=True, args=(Vl, rhog, rhol, mug, voidage, specific_area, C1, C2, C3, H), ytol=1e-11, solve_func=solve_2_direct)[0][0]
[docs]def Robbins(L, G, rhol, rhog, mul, H=1.0, Fpd=24.0): r'''Calculates pressure drop across a packed column, using the Robbins equation. Pressure drop is given by: .. math:: \Delta P = C_3 G_f^2 10^{C_4L_f}+0.4[L_f/20000]^{0.1}[C_3G_f^210^{C_4L_f}]^4 .. math:: G_f=G[0.075/\rho_g]^{0.5}[F_{pd}/20]^{0.5}=986F_s[F_{pd}/20]^{0.5} .. math:: L_f=L[62.4/\rho_L][F_{pd}/20]^{0.5}\mu^{0.1} .. math:: F_s=V_s\rho_g^{0.5} Parameters ---------- L : float Specific liquid mass flow rate [kg/s/m^2] G : float Specific gas mass flow rate [kg/s/m^2] rhol : float Density of liquid [kg/m^3] rhog : float Density of gas [kg/m^3] mul : float Viscosity of liquid [Pa*s] H : float Height of packing [m] Fpd : float Robbins packing factor (tabulated for packings) [1/ft] Returns ------- dP : float Pressure drop across packing [Pa] Notes ----- Perry's displayed equation has a typo in a superscript. This model is based on the example in Perry's. Examples -------- >>> Robbins(L=12.2, G=2.03, rhol=1000., rhog=1.1853, mul=0.001, H=2.0, Fpd=24.0) 619.6624593438102 References ---------- .. [1] Robbins [Chem. Eng. Progr., p. 87 (May 1991) Improved Pressure Drop Prediction with a New Correlation. ''' # Convert SI units to imperial for use in correlation L = L*737.33812 # kg/s/m^2 to lb/hr/ft^2 G = G*737.33812 # kg/s/m^2 to lb/hr/ft^2 rhol = rhol*0.062427961 # kg/m^3 to lb/ft^3 rhog = rhog*0.062427961 # kg/m^3 to lb/ft^3 mul = mul*1000.0 # Pa*s to cP C3 = 7.4E-8 C4 = 2.7E-5 Fpd_root_term = sqrt(.05*Fpd) Lf = L*(62.4/rhol)*Fpd_root_term*mul**0.1 Gf = G*sqrt(0.075/rhog)*Fpd_root_term Gf2 = Gf*Gf C4LF_10_GF2_C3 = C3*Gf2*10.0**(C4*Lf) C4LF_10_GF2_C3_2 = C4LF_10_GF2_C3*C4LF_10_GF2_C3 dP = C4LF_10_GF2_C3 + 0.4*(5e-5*Lf)**0.1*(C4LF_10_GF2_C3_2*C4LF_10_GF2_C3_2) return dP*817.22083*H # in. H2O to Pa/m