1
0
Fork 0
mirror of https://github.com/MillironX/UNIFAC.jl.git synced 2024-12-21 20:38:18 +00:00

Add previously written UNIFAC method

This commit is contained in:
Thomas A. Christensen II 2020-03-03 09:49:02 -08:00
parent cc5507813a
commit 3003655025
Signed by: millironx
GPG key ID: 139C07724802BC5D

View file

@ -1,5 +1,200 @@
# Thomas A. Christensen II
# Spring 2020
# UNIFAC Solver
module UNIFAC
greet() = print("Hello World!")
export unifac
function unifac(ν, x, T)
# unifac takes three arguments:
# ν (that's the Greek lowercase nu) is a 42 x n Integer array where n is the
# number of species in the system. The number at ν[k,i] indicates how many
# instances of subgroup k are present in a single molecule of species i
# x is a 1 x n Float64 array that contains the liquid species mole fractions
# T is the temperature of the system in Kelvins
# Declare the UNIFAC subgroup parameters
R = Array{Float64}(undef, 42, 1)
R[1] = 0.9011
R[2] = 0.6744
R[3] = 0.4469
R[4] = 0.2195
R[10] = 0.5313
R[12] = 1.2663
R[13] = 1.0396
R[15] = 1.0000
R[17] = 0.9200
R[19] = 1.6724
R[20] = 1.4457
R[25] = 1.1450
R[26] = 0.9183
R[27] = 0.6908
R[32] = 1.4337
R[33] = 1.2070
R[34] = 0.9795
R[41] = 1.8701
R[42] = 1.6434
Q = Array{Float64}(undef, 42, 1)
Q[1] = 0.848
Q[2] = 0.540
Q[3] = 0.228
Q[4] = 0.000
Q[10] = 0.400
Q[12] = 0.968
Q[13] = 0.660
Q[15] = 1.200
Q[17] = 1.400
Q[19] = 1.488
Q[20] = 1.180
Q[25] = 1.088
Q[26] = 0.780
Q[27] = 0.468
Q[32] = 1.244
Q[33] = 0.936
Q[34] = 0.624
Q[41] = 1.724
Q[42] = 1.416
# Declare the subgroup interaction parameters
a = zeros(42, 42)
a[1:4, 10] .= 61.13
a[1:4, 12:13] .= 76.50
a[1:4, 15] .= 986.50
a[1:4, 17] .= 1318.00
a[1:4, 19:20] .= 476.40
a[1:4, 25:27] .= 251.50
a[1:4, 32:34] .= 255.70
a[1:4, 41:42] .= 597.00
a[10, 1:4] .= -11.12
a[10, 12:13] .= 167.00
a[10, 15] = 636.10
a[10, 17] = 903.80
a[10, 19:20] .= 25.77
a[10, 25:27] .= 32.14
a[10, 32:34] .= 122.80
a[10, 41:42] .= 212.50
a[12:13, 1:4] .= -69.70
a[12:13, 10] .= -146.80
a[12:13, 15] .= 803.20
a[12:13, 17] .= 5695.00
a[12:13, 19:20] .= -52.10
a[12:13, 25:27] .= 213.10
a[12:13, 32:34] .= -49.29
a[12:13, 41:42] .= 6096.00
a[15, 1:4] .= 156.40
a[15, 10] = 89.60
a[15, 12:13] .= 25.82
a[15, 17] = 353.50
a[15, 19:20] .= 84.00
a[15, 25:27] .= 28.06
a[15, 32:34] .= 42.70
a[15, 41:42] .= 6.712
a[17, 1:4] .= 300.00
a[17, 10] = 362.30
a[17, 12:13] .= 377.60
a[17, 15] = -229.10
a[17, 19:20] .= -195.40
a[17, 25:27] .= 540.50
a[17, 32:34] .= 168.00
a[17, 41:42] .= 112.60
a[19:20, 1:4] .= 26.79
a[19:20, 10] .= 140.10
a[19:20, 12:13] .= 365.80
a[19:20, 15] .= 164.50
a[19:20, 17] .= 472.50
a[19:20, 25:27] .= -103.60
a[19:20, 32:34] .= -174.20
a[19:20, 41:42] .= 481.70
a[25:27, 1:4] .= 83.36
a[25:27, 10] .= 52.13
a[25:27, 12:13] .= 65.69
a[25:27, 15] .= 237.70
a[25:27, 17] .= -314.70
a[25:27, 19:20] .= 191.10
a[25:27, 32:34] .= 251.50
a[25:27, 41:42] .= -18.51
a[32:34, 1:4] .= 65.33
a[32:34, 10] .= -22.31
a[32:34, 12:13] .= 223.00
a[32:34, 15] .= -150.00
a[32:34, 17] .= -448.20
a[32:34, 19:20] .= 394.60
a[32:34, 25:27] .= -56.08
a[32:34, 41:42] .= 147.10
a[41:42, 1:4] .= 24.82
a[41:42, 10] .= -22.97
a[41:42, 12:13] .= -138.40
a[41:42, 15] .= 185.40
a[41:42, 17] .= 242.80
a[41:42, 19:20] .= -287.50
a[41:42, 25:27] .= 38.81
a[41:42, 32:34] .= -108.50
# Calculate r
r = zeros(1, size(ν, 2))
for i in 1:size(ν, 2)
r[i] = sum(ν[:, i] .* R)
end
# Calculate q
q = zeros(1, size(ν, 2))
for i in 1:size(ν, 2)
q[i] = sum(ν[:, i] .* Q)
end
# Calculate e
e = zeros(42, size(ν, 2))
for i in 1:size(ν,2 )
e[:, i] = (ν[:, i] .* Q) ./ q[i]
end
# Calculate tau
τ = exp.(-a ./ T)
# Calculate beta
β = zeros(42, size(ν, 2))
for i in 1:size(ν, 2)
for k in 1:42
β[k, i] = sum(e[:, i] .* τ[:, k])
end
end
# Calculate Theta
Θ = zeros(42, 1)
for k in 1:42
Θ[k] = sum(x .* q .* e[k, :]') / sum(x .* q)
end
# Calculate s
s = zeros(42, 1)
for k in 1:42
s[k] = sum(Θ .* τ[:, k])
end
# Calculate L and J
L = r ./ sum(r .* x)
J = q ./ sum(q .* x)
# Calculate the natural log of the cumulative and residual activity coefficients
γ_C = 1 .- J .+ log.(J) .- 5 .* q .* (1 .- (J ./ L) .+ log.(J ./ L))
γ_R = zeros(1, size(ν, 2))
for i in 1:size(ν, 2)
γ_R[i] = q[i] * (1 - sum(Θ .* β[:, i] ./ s .- e[:, i] .* log.(β[:, i] ./ s)))
end
# Return the activity coefficients
γ = exp.(γ_C .+ γ_R)
end # function
end # module