from Tabular_values import Na
import matplotlib.pyplot as plt
ENERGY_ISOTHERM_RHO = [[], [], [], [], []]
RHO = [[], [], [], [], []]
k = 0
while k < 3:
rho_is = 0.001
for i in (0.001, 0.01, 0.1, 1., 10.):
while rho_is < i * 10:
RHO[k].append(rho_is)
T_h = 3.98 / (10**3) * 10**k / 13**(4 / 3)
rho_h = rho_is * Na * 11.19 * 1.4818 * 10**(-25) / 26 / 13
ENERGY_ISOTHERM_RHO[k].append(
2.626 * 10**3 / 26 * Energy(T_h, rho_h, 1, 1) * 13**(7 / 3))
rho_is += i
k += 1
plt.plot(RHO[0], ENERGY_ISOTHERM_RHO[0], label="3.98 эв")
plt.plot(RHO[1], ENERGY_ISOTHERM_RHO[1], label="39.8 эв")
plt.plot(RHO[2], ENERGY_ISOTHERM_RHO[2], label="398 эв")
plt.xscale('log')
plt.yscale('log')
plt.xlim(0.001, 100)
plt.ylim(1, 100000)
plt.xlabel('rho, г / см^3')
plt.ylabel('E, кДж / г')
plt.title('Энергия алюминия по различным моделям')
plt.grid('true')
plt.legend()
for i in range(2, n + 1):
TABLE_P[i][0] = TABLE_P[1][0] + (i - 1) * (-0.02)
for i in range(1, n + 2):
for j in range(1, m + 1):
#print(10 ** TABLE_E[i][0], 10 ** TABLE_E[0][j])
found_rho = mixture_calculation(10**TABLE_E[i][0], 10**TABLE_E[0][j],
mixture)
for k in range(len(mixture)):
T_h = 10**TABLE_E[i][0] / mixture[k]["Z"]**(4 / 3)
rho_h = 10**TABLE_E[0][j] * Na * 11.19 * 1.4818 * 10**(
-25) / mixture[k]["Atom_weight"] / mixture[k]["Z"]
PHI = progonka(T_h, rho_h, 1, 1)
TABLE_P[i][j] += P(T_h, rho_h, PHI) * mixture[k]["Z"]**(
10 / 3) * mixture[k]["amount"] / nuclear_amount
TABLE_E[i][j] += Energy(T_h, rho_h, 1, 1, PHI) * mixture[k]["Z"]**(
7 / 3) * mixture[k]["amount"] / Weight
print(i, j)
f = open('energy_sio2.txt', 'w')
for i in range(len(TABLE_E)):
for j in range(len(TABLE_E[i])):
f.write(str(TABLE_E[i][j]))
f.write(" ")
f.write("\n")
f = open('pressure_sio2.txt', 'w')
for i in range(len(TABLE_P)):
for j in range(len(TABLE_P[i])):
f.write(str(TABLE_P[i][j]))
f.write(" ")
#TA
TABLE_E[0][1] = -4.000
TABLE_E[1][0] = 3.000
for j in range(2, m + 1):
TABLE_E[0][j] = TABLE_E[0][1] + (j - 1) / m * 13
for i in range(2, n + 1):
TABLE_E[i][0] = TABLE_E[1][0] + (i - 1) / n * (-8)
for i in range(1, n + 1):
for j in range(1, m + 1):
T_now = 10**TABLE_E[i][0] / 36.7493224786
rho_now = 1.0 / (8.923608963522 * 0.01 * 10**TABLE_E[0][j])
# print(T_now, rho_now)
# print(P(T_now, rho_now))
TABLE_E[i][j] = log10(Energy(T_now, rho_now, 1, 1))
print("T = ", TABLE_E[i][0], "rh0 = ", TABLE_E[0][j], "LG E = ",
TABLE_E[i][j])
#T_now = 10 ** (-0.167) /36.749
#rho_now = 1.0 / (8.923608963522 * 0.01 * 10 ** 4)
#print(P(T_now, rho_now))
#print(log10(P(T_now,rho_now)))
for i in range(len(TABLE_E)):
for j in range(len(TABLE_E[i])):
print(TABLE_E[i][j], end=' ')
print()
#
#
# T_now = 10 ** LG_T[j] / 36.7493224786
# rho_now = 1.0 / (8.923608963522 * 0.01 * 10 ** LG_V[i])
def f2(T, rho):
return Energy(
T, rho, 13,
26) - E_0 - 1 / 2 * (P(T, rho, 26, 13) + P_0) * (1 / rho_00 - 1 / rho)
from Pressure import P
from Internal_energy import Energy
from numpy import dot
from numpy import transpose
from working_progonka import progonka
rho_00 = 2.712
E_0 = Energy(293 * 10**(-3) / (1.160 * 10**4), rho_00, 13, 26)
P_0 = P(293 * 10**3 / (1.160 * 10**4), rho_00, 26, 13)
def f1(T, rho):
return P(T, rho, 26, 13) - P_0
def f2(T, rho):
return Energy(
T, rho, 13,
26) - E_0 - 1 / 2 * (P(T, rho, 26, 13) + P_0) * (1 / rho_00 - 1 / rho)
def newton_solver(P, T_pribl, rho_pribl):
delta = [[0 for i in range(1)] for j in range(2)]
delta[0][0] = 10**(-8)
delta[1][0] = 10**(-8)
epsilon = 10**(-8)
mod_delta = 100
W = [[0 for i in range(2)] for j in range(2)]
F = [[0 for i in range(1)] for j in range(2)]
priblizhenie = [[0 for i in range(1)] for j in range(2)]
TABLE_P[n + 1][0] = -9.000
for j in range(2, m + 1):
TABLE_P[0][j] = TABLE_P[0][1] + (j - 1) * 0.01
for i in range(2, n + 1):
TABLE_P[i][0] = TABLE_P[1][0] + (i - 1) * (-0.02)
for i in range(1, n + 2):
for j in range(1, m + 1):
#T_h = 10 ** TABLE_E[i][0] / z**(4 / 3)
#rho_h = 10 ** TABLE_E[0][j] * Na * 11.19 * 1.4818 * 10**(-25) / Atom_weight / z
T_h = 36.4 / z**(4 / 3)
rho_h = 100 * Na * 11.19 * 1.4818 * 10**(-25) / Atom_weight / z
PHI = progonka(T_h, rho_h, 1, 1)
TABLE_E[i][j] = Energy(T_h, rho_h, 1, 1, PHI) * z ** (7 / 3)
#TABLE_P[i][j] = P(T_h, rho_h, PHI) * z ** (10 / 3)
TABLE_P[i][j] = delta_P(T_h, rho_h) * z ** (8 / 3)
print("e =", TABLE_E[i][j], "p = ", TABLE_P[i][j])
f = open('energy_aluminium.txt', 'w')
for i in range(len(TABLE_E)):
for j in range(len(TABLE_E[i])):
f.write(str(TABLE_E[i][j]))
f.write(" ")
f.write("\n")
f = open('pressure_aluminium.txt', 'w')
for i in range(len(TABLE_P)):
for j in range(len(TABLE_P[i])):
def state_function_energy(T, rho, Atom_weight, z):
#return 2.626 * 10**3 / Atom_weight * bilinear_interpolation_energy(T, rho) + ionic_contribution_energy(T, volume(rho, Atom_weight)) + cold_curve_energy(volume(rho, Atom_weight))
return 2.626 * 10**3 / Atom_weight * Energy(T, rho, z, Atom_weight)