How to use the fluids.atmosphere.ATMOSPHERE_1976 function in fluids
To help you get started, we’ve selected a few fluids examples, based on popular ways it is used in public projects.
Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.
CalebBell / fluids / tests / test_atmosphere.py View on Github 
def test_ATMOSPHERE_1976():
# Test values from 'Atmosphere to 86 Km by 2 Km (SI units)', from
# http://ckw.phys.ncku.edu.tw/public/pub/Notes/Languages/Fortran/FORSYTHE/www.pdas.com/m1.htm
# as provided in atmtabs.html in http://www.pdas.com/atmosdownload.html
H_1 = [-2000, 0, 2000, 4000, 6000, 8000, 10000, 12000, 14000, 16000, 18000, 20000, 22000, 24000, 26000, 28000, 30000, 32000, 34000, 36000, 38000, 40000, 42000, 44000, 46000, 48000, 50000, 52000, 54000, 56000, 58000, 60000, 62000, 64000, 66000, 68000, 70000, 72000, 74000, 76000, 78000, 80000, 82000, 84000, 86000]
T_1 = [301.15, 288.15, 275.15, 262.17, 249.19, 236.22, 223.25, 216.65, 216.65, 216.65, 216.65, 216.65, 218.57, 220.56, 222.54, 224.53, 226.51, 228.49, 233.74, 239.28, 244.82, 250.35, 255.88, 261.4, 266.92, 270.65, 270.65, 269.03, 263.52, 258.02, 252.52, 247.02, 241.53, 236.04, 230.55, 225.07, 219.58, 214.26, 210.35, 206.45, 202.54, 198.64, 194.74, 190.84, 186.95]
P_1 = [127780, 101320, 79501, 61660, 47218, 35652, 26500, 19399, 14170, 10353, 7565.2, 5529.3, 4047.5, 2971.7, 2188.4, 1616.2, 1197, 889.06, 663.41, 498.52, 377.14, 287.14, 219.97, 169.5, 131.34, 102.3, 79.779, 62.215, 48.338, 37.362, 28.724, 21.959, 16.689, 12.606, 9.4609, 7.0529, 5.2209, 3.8363, 2.8009, 2.0333, 1.4674, 1.0525, 0.75009, 0.53104, 0.37338]
rho_1 = [1.4782, 1.225, 1.0066, 0.81935, 0.66011, 0.52579, 0.41351, 0.31194, 0.22786, 0.16647, 0.12165, 0.08891, 0.06451, 0.046938, 0.034257, 0.025076, 0.01841, 0.013555, 0.0098874, 0.0072579, 0.0053666, 0.0039957, 0.0029948, 0.0022589, 0.0017141, 0.0013167, 0.0010269, 0.00080562, 0.000639, 0.00050445, 0.00039626, 0.00030968, 0.00024071, 0.00018605, 0.00014296, 0.00010917, 0.000082829, 0.000062373, 0.000046385, 0.000034311, 0.000025239, 0.000018458, 0.000013418, 9.6939E-006, 6.9578E-006]
c_1 = [347.89, 340.29, 332.53, 324.59, 316.45, 308.11, 299.53, 295.07, 295.07, 295.07, 295.07, 295.07, 296.38, 297.72, 299.06, 300.39, 301.71, 303.02, 306.49, 310.1, 313.67, 317.19, 320.67, 324.12, 327.52, 329.8, 329.8, 328.81, 325.43, 322.01, 318.56, 315.07, 311.55, 307.99, 304.39, 300.75, 297.06, 293.44, 290.75, 288.04, 285.3, 282.54, 279.75, 276.94, 274.1]
mu_1 = [0.000018515, 0.000017894, 0.00001726, 0.000016612, 0.000015949, 0.000015271, 0.000014577, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014322, 0.00001443, 0.000014538, 0.000014646, 0.000014753, 0.000014859, 0.00001514, 0.000015433, 0.000015723, 0.000016009, 0.000016293, 0.000016573, 0.000016851, 0.000017037, 0.000017037, 0.000016956, 0.00001668, 0.000016402, 0.000016121, 0.000015837, 0.000015551, 0.000015262, 0.00001497, 0.000014675, 0.000014377, 0.000014085, 0.000013868, 0.00001365, 0.00001343, 0.000013208, 0.000012985, 0.00001276, 0.000012533]
Ts = [ATMOSPHERE_1976(Z).T for Z in H_1]
assert_close1d(Ts, T_1, atol=0.005)
Ps = [ATMOSPHERE_1976(Z).P for Z in H_1]
assert_close1d(Ps, P_1, rtol=5E-5)
rhos = [ATMOSPHERE_1976(Z).rho for Z in H_1]
assert_close1d(rhos, rho_1, rtol=5E-5)
cs = [ATMOSPHERE_1976(Z).v_sonic for Z in H_1]
assert_close1d(cs, c_1, rtol=5E-5)
mus = [ATMOSPHERE_1976(Z).mu for Z in H_1]
assert_close1d(mus, mu_1, rtol=5E-5)
assert_close(ATMOSPHERE_1976(1000, dT=1).T, 282.6510223716947)
# Check thermal conductivity with: http://www.aerospaceweb.org/design/scripts/atmosphere/
assert_close(ATMOSPHERE_1976(1000).k, 0.0248133634493)
# Other possible additions:
# mean air particle speed; mean collision frequency; mean free path; mole volume; total number densityc_1 = [347.89, 340.29, 332.53, 324.59, 316.45, 308.11, 299.53, 295.07, 295.07, 295.07, 295.07, 295.07, 296.38, 297.72, 299.06, 300.39, 301.71, 303.02, 306.49, 310.1, 313.67, 317.19, 320.67, 324.12, 327.52, 329.8, 329.8, 328.81, 325.43, 322.01, 318.56, 315.07, 311.55, 307.99, 304.39, 300.75, 297.06, 293.44, 290.75, 288.04, 285.3, 282.54, 279.75, 276.94, 274.1]
mu_1 = [0.000018515, 0.000017894, 0.00001726, 0.000016612, 0.000015949, 0.000015271, 0.000014577, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014322, 0.00001443, 0.000014538, 0.000014646, 0.000014753, 0.000014859, 0.00001514, 0.000015433, 0.000015723, 0.000016009, 0.000016293, 0.000016573, 0.000016851, 0.000017037, 0.000017037, 0.000016956, 0.00001668, 0.000016402, 0.000016121, 0.000015837, 0.000015551, 0.000015262, 0.00001497, 0.000014675, 0.000014377, 0.000014085, 0.000013868, 0.00001365, 0.00001343, 0.000013208, 0.000012985, 0.00001276, 0.000012533]
Ts = [ATMOSPHERE_1976(Z).T for Z in H_1]
assert_close1d(Ts, T_1, atol=0.005)
Ps = [ATMOSPHERE_1976(Z).P for Z in H_1]
assert_close1d(Ps, P_1, rtol=5E-5)
rhos = [ATMOSPHERE_1976(Z).rho for Z in H_1]
assert_close1d(rhos, rho_1, rtol=5E-5)
cs = [ATMOSPHERE_1976(Z).v_sonic for Z in H_1]
assert_close1d(cs, c_1, rtol=5E-5)
mus = [ATMOSPHERE_1976(Z).mu for Z in H_1]
assert_close1d(mus, mu_1, rtol=5E-5)
assert_close(ATMOSPHERE_1976(1000, dT=1).T, 282.6510223716947)
# Check thermal conductivity with: http://www.aerospaceweb.org/design/scripts/atmosphere/
assert_close(ATMOSPHERE_1976(1000).k, 0.0248133634493)
# Other possible additions:
# mean air particle speed; mean collision frequency; mean free path; mole volume; total number density
delta_P = ATMOSPHERE_1976.pressure_integral(288.6, 84100.0, 147.0)
assert_close(delta_P, 1451.9583061008857)T_1 = [301.15, 288.15, 275.15, 262.17, 249.19, 236.22, 223.25, 216.65, 216.65, 216.65, 216.65, 216.65, 218.57, 220.56, 222.54, 224.53, 226.51, 228.49, 233.74, 239.28, 244.82, 250.35, 255.88, 261.4, 266.92, 270.65, 270.65, 269.03, 263.52, 258.02, 252.52, 247.02, 241.53, 236.04, 230.55, 225.07, 219.58, 214.26, 210.35, 206.45, 202.54, 198.64, 194.74, 190.84, 186.95]
P_1 = [127780, 101320, 79501, 61660, 47218, 35652, 26500, 19399, 14170, 10353, 7565.2, 5529.3, 4047.5, 2971.7, 2188.4, 1616.2, 1197, 889.06, 663.41, 498.52, 377.14, 287.14, 219.97, 169.5, 131.34, 102.3, 79.779, 62.215, 48.338, 37.362, 28.724, 21.959, 16.689, 12.606, 9.4609, 7.0529, 5.2209, 3.8363, 2.8009, 2.0333, 1.4674, 1.0525, 0.75009, 0.53104, 0.37338]
rho_1 = [1.4782, 1.225, 1.0066, 0.81935, 0.66011, 0.52579, 0.41351, 0.31194, 0.22786, 0.16647, 0.12165, 0.08891, 0.06451, 0.046938, 0.034257, 0.025076, 0.01841, 0.013555, 0.0098874, 0.0072579, 0.0053666, 0.0039957, 0.0029948, 0.0022589, 0.0017141, 0.0013167, 0.0010269, 0.00080562, 0.000639, 0.00050445, 0.00039626, 0.00030968, 0.00024071, 0.00018605, 0.00014296, 0.00010917, 0.000082829, 0.000062373, 0.000046385, 0.000034311, 0.000025239, 0.000018458, 0.000013418, 9.6939E-006, 6.9578E-006]
c_1 = [347.89, 340.29, 332.53, 324.59, 316.45, 308.11, 299.53, 295.07, 295.07, 295.07, 295.07, 295.07, 296.38, 297.72, 299.06, 300.39, 301.71, 303.02, 306.49, 310.1, 313.67, 317.19, 320.67, 324.12, 327.52, 329.8, 329.8, 328.81, 325.43, 322.01, 318.56, 315.07, 311.55, 307.99, 304.39, 300.75, 297.06, 293.44, 290.75, 288.04, 285.3, 282.54, 279.75, 276.94, 274.1]
mu_1 = [0.000018515, 0.000017894, 0.00001726, 0.000016612, 0.000015949, 0.000015271, 0.000014577, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014322, 0.00001443, 0.000014538, 0.000014646, 0.000014753, 0.000014859, 0.00001514, 0.000015433, 0.000015723, 0.000016009, 0.000016293, 0.000016573, 0.000016851, 0.000017037, 0.000017037, 0.000016956, 0.00001668, 0.000016402, 0.000016121, 0.000015837, 0.000015551, 0.000015262, 0.00001497, 0.000014675, 0.000014377, 0.000014085, 0.000013868, 0.00001365, 0.00001343, 0.000013208, 0.000012985, 0.00001276, 0.000012533]
Ts = [ATMOSPHERE_1976(Z).T for Z in H_1]
assert_close1d(Ts, T_1, atol=0.005)
Ps = [ATMOSPHERE_1976(Z).P for Z in H_1]
assert_close1d(Ps, P_1, rtol=5E-5)
rhos = [ATMOSPHERE_1976(Z).rho for Z in H_1]
assert_close1d(rhos, rho_1, rtol=5E-5)
cs = [ATMOSPHERE_1976(Z).v_sonic for Z in H_1]
assert_close1d(cs, c_1, rtol=5E-5)
mus = [ATMOSPHERE_1976(Z).mu for Z in H_1]
assert_close1d(mus, mu_1, rtol=5E-5)
assert_close(ATMOSPHERE_1976(1000, dT=1).T, 282.6510223716947)
# Check thermal conductivity with: http://www.aerospaceweb.org/design/scripts/atmosphere/
assert_close(ATMOSPHERE_1976(1000).k, 0.0248133634493)
# Other possible additions:
# mean air particle speed; mean collision frequency; mean free path; mole volume; total number density
delta_P = ATMOSPHERE_1976.pressure_integral(288.6, 84100.0, 147.0)
assert_close(delta_P, 1451.9583061008857)def test_ATMOSPHERE_1976():
# Test values from 'Atmosphere to 86 Km by 2 Km (SI units)', from
# http://ckw.phys.ncku.edu.tw/public/pub/Notes/Languages/Fortran/FORSYTHE/www.pdas.com/m1.htm
# as provided in atmtabs.html in http://www.pdas.com/atmosdownload.html
H_1 = [-2000, 0, 2000, 4000, 6000, 8000, 10000, 12000, 14000, 16000, 18000, 20000, 22000, 24000, 26000, 28000, 30000, 32000, 34000, 36000, 38000, 40000, 42000, 44000, 46000, 48000, 50000, 52000, 54000, 56000, 58000, 60000, 62000, 64000, 66000, 68000, 70000, 72000, 74000, 76000, 78000, 80000, 82000, 84000, 86000]
T_1 = [301.15, 288.15, 275.15, 262.17, 249.19, 236.22, 223.25, 216.65, 216.65, 216.65, 216.65, 216.65, 218.57, 220.56, 222.54, 224.53, 226.51, 228.49, 233.74, 239.28, 244.82, 250.35, 255.88, 261.4, 266.92, 270.65, 270.65, 269.03, 263.52, 258.02, 252.52, 247.02, 241.53, 236.04, 230.55, 225.07, 219.58, 214.26, 210.35, 206.45, 202.54, 198.64, 194.74, 190.84, 186.95]
P_1 = [127780, 101320, 79501, 61660, 47218, 35652, 26500, 19399, 14170, 10353, 7565.2, 5529.3, 4047.5, 2971.7, 2188.4, 1616.2, 1197, 889.06, 663.41, 498.52, 377.14, 287.14, 219.97, 169.5, 131.34, 102.3, 79.779, 62.215, 48.338, 37.362, 28.724, 21.959, 16.689, 12.606, 9.4609, 7.0529, 5.2209, 3.8363, 2.8009, 2.0333, 1.4674, 1.0525, 0.75009, 0.53104, 0.37338]
rho_1 = [1.4782, 1.225, 1.0066, 0.81935, 0.66011, 0.52579, 0.41351, 0.31194, 0.22786, 0.16647, 0.12165, 0.08891, 0.06451, 0.046938, 0.034257, 0.025076, 0.01841, 0.013555, 0.0098874, 0.0072579, 0.0053666, 0.0039957, 0.0029948, 0.0022589, 0.0017141, 0.0013167, 0.0010269, 0.00080562, 0.000639, 0.00050445, 0.00039626, 0.00030968, 0.00024071, 0.00018605, 0.00014296, 0.00010917, 0.000082829, 0.000062373, 0.000046385, 0.000034311, 0.000025239, 0.000018458, 0.000013418, 9.6939E-006, 6.9578E-006]
c_1 = [347.89, 340.29, 332.53, 324.59, 316.45, 308.11, 299.53, 295.07, 295.07, 295.07, 295.07, 295.07, 296.38, 297.72, 299.06, 300.39, 301.71, 303.02, 306.49, 310.1, 313.67, 317.19, 320.67, 324.12, 327.52, 329.8, 329.8, 328.81, 325.43, 322.01, 318.56, 315.07, 311.55, 307.99, 304.39, 300.75, 297.06, 293.44, 290.75, 288.04, 285.3, 282.54, 279.75, 276.94, 274.1]
mu_1 = [0.000018515, 0.000017894, 0.00001726, 0.000016612, 0.000015949, 0.000015271, 0.000014577, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014216, 0.000014322, 0.00001443, 0.000014538, 0.000014646, 0.000014753, 0.000014859, 0.00001514, 0.000015433, 0.000015723, 0.000016009, 0.000016293, 0.000016573, 0.000016851, 0.000017037, 0.000017037, 0.000016956, 0.00001668, 0.000016402, 0.000016121, 0.000015837, 0.000015551, 0.000015262, 0.00001497, 0.000014675, 0.000014377, 0.000014085, 0.000013868, 0.00001365, 0.00001343, 0.000013208, 0.000012985, 0.00001276, 0.000012533]
Ts = [ATMOSPHERE_1976(Z).T for Z in H_1]
assert_close1d(Ts, T_1, atol=0.005)
Ps = [ATMOSPHERE_1976(Z).P for Z in H_1]
assert_close1d(Ps, P_1, rtol=5E-5)
rhos = [ATMOSPHERE_1976(Z).rho for Z in H_1]
assert_close1d(rhos, rho_1, rtol=5E-5)
cs = [ATMOSPHERE_1976(Z).v_sonic for Z in H_1]
assert_close1d(cs, c_1, rtol=5E-5)
mus = [ATMOSPHERE_1976(Z).mu for Z in H_1]
assert_close1d(mus, mu_1, rtol=5E-5)
assert_close(ATMOSPHERE_1976(1000, dT=1).T, 282.6510223716947)
# Check thermal conductivity with: http://www.aerospaceweb.org/design/scripts/atmosphere/
assert_close(ATMOSPHERE_1976(1000).k, 0.0248133634493)
# Other possible additions:
# mean air particle speed; mean collision frequency; mean free path; mole volume; total number densityTs = [ATMOSPHERE_1976(Z).T for Z in H_1]
assert_close1d(Ts, T_1, atol=0.005)
Ps = [ATMOSPHERE_1976(Z).P for Z in H_1]
assert_close1d(Ps, P_1, rtol=5E-5)
rhos = [ATMOSPHERE_1976(Z).rho for Z in H_1]
assert_close1d(rhos, rho_1, rtol=5E-5)
cs = [ATMOSPHERE_1976(Z).v_sonic for Z in H_1]
assert_close1d(cs, c_1, rtol=5E-5)
mus = [ATMOSPHERE_1976(Z).mu for Z in H_1]
assert_close1d(mus, mu_1, rtol=5E-5)
assert_close(ATMOSPHERE_1976(1000, dT=1).T, 282.6510223716947)
# Check thermal conductivity with: http://www.aerospaceweb.org/design/scripts/atmosphere/
assert_close(ATMOSPHERE_1976(1000).k, 0.0248133634493)
# Other possible additions:
# mean air particle speed; mean collision frequency; mean free path; mole volume; total number density
delta_P = ATMOSPHERE_1976.pressure_integral(288.6, 84100.0, 147.0)
assert_close(delta_P, 1451.9583061008857) m = airmass(lambda Z : ATMOSPHERE_1976(Z).rho, 5)
assert_close(m, 106861.56335489497) # vs 106837def fluids_atmosphere_1976(str1, Z, dt=0):
'''
US Standard Atmosphere 1976 class, which calculates T, P, rho, v_sonic,
mu, k, and g as a function of altitude above sea level.
'''
Za = Z.to("m")
Za = Za.magnitude
obj = atm.ATMOSPHERE_1976(Za, dt)
salida = ['T', 'P', 'rho', 'v_sonic', 'mu', 'k', 'g']
out = [obj.T*pyENLu.K, obj.P*pyENLu.Pa, obj.rho*pyENLu.kg/(pyENLu.m)**3,\
obj.v_sonic*pyENLu.m/pyENLu.s, obj.mu*pyENLu.Pa*pyENLu.s, obj.k*pyENLu.W/(pyENLu.m*pyENLu.K),\
obj.g*pyENLu.m/(pyENLu.s)**2]
if str1 in salida:
salida_fun = out[salida.index(str1)]
# Ajustando el registro de unidades para concordancia
salida_fun._REGISTRY = Z._REGISTRY
return salida_fun
else:
raise Exception('Propiedad no listada')fluids
Fluid dynamics component of Chemical Engineering Design Library (ChEDL)
Package Health Score
72 / 100Popular fluids functions
- fluids.assets.shape.Shape
- fluids.assets.shape.Shape.__init__
- fluids.atmosphere.ATMOSPHERE_1976
- fluids.constants.g
- fluids.core.Prandtl
- fluids.core.Reynolds
- fluids.friction.friction_factor
- fluids.numba
- fluids.numerics.assert_close
- fluids.numerics.assert_close1d
- fluids.numerics.bisplev
- fluids.numerics.brenth
- fluids.numerics.implementation_optimize_tck
- fluids.numerics.interp
- fluids.numerics.linspace
- fluids.numerics.logspace
- fluids.numerics.numpy.array
- fluids.numerics.secant
- fluids.Prandtl