Fogler Ejemplo CD10
8
experimento ra (mol gcat-1 s-1) papb/ra 1 0.1 1 2 0.073 1.17 2 1 10 2 3.42 1.71 3 10 1 2 0.54 4.30 4 1 20 2 6.8 1.71 5 1 20 10 2.88 2.64 6 20 1 2 0.56 5.98 7 1 1 2 0.34 1.71 8 1 20 5 4.5 2.11 A experimentoA B C -ra papb/ra 1 0.1 1 2 0.073 1.17 3 10 1 2 0.54 4.30 6 20 1 2 0.56 5.98 7 1 1 2 0.34 1.71 B A B C -ra papb/ra 2 1 10 2 3.42 1.71 4 1 20 2 6.8 1.71 7 1 1 2 0.34 1.71 C experimentoA B C -ra papb/ra 4 1 20 2 6.8 1.71 5 1 20 10 2.88 2.64 8 1 20 5 4.5 2.11 PA (atm) PB (atm) PC (atm)
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Transcript of Fogler Ejemplo CD10
Ejemplo (2)experimentoPA (atm)PB (atm)PC (atm)-ra (mol gcat-1 s-1)papb/raKrm (lineal)Error (%)rm (NLE)Error (%)C04=K*C01*C02/(1+KA*C01+KC*C03)10.1120.0731.17-335.73630.08719.140.07219.14211023.421.71-0.98353.6998.173.4048.17310120.544.30-0.07170.5481.550.5411.55POLYMATH Results412026.81.71-0.98847.3998.816.8088.8103-15-20075120102.882.64-0.24422.9823.552.8783.55620120.565.98-0.03380.5630.620.5590.62Nonlinear regression (L-M)71120.341.71-0.98840.3708.810.3408.81812054.52.11-0.47184.7575.714.5025.71Model: C04 = K*C01*C02/(1+KA*C01+KC*C03)ALinealNLEVariable Ini guess Value 95% confidenceexperimentoABC-rapapb/raK-42.43984.8282392K 4 4.8282392 1.2703210.1120.0731.17KA-73.24680125018.3429707KA 8 8.3429707 2.4392938310120.544.30KC-21.23686154792.42104KC 2 2.42104 0.6430688620120.565.9871120.341.71Nonlinear regression settingsMax # iterations = 64BABC-rapapb/ra211023.421.71Precision412026.81.71R^2 = 0.99999271120.341.71R^2adj = 0.9999888Rmsd = 0.0022762Variance = 6.632E-05CexperimentoABC-rapapb/raGeneral412026.81.71Sample size = 85120102.882.64# Model vars = 3812054.52.11# Indep vars = 3# Iterations = 7
Ejemplo (2)
r vs PA
Ejemplo
PA*PB/r vs PA
r vs PC
PA*PB/ra vs PC
r vs PB
ClsicoClsico
NLEClsico
PA*PB/r vs PB
experimentoPA (atm)PB (atm)PC (atm)-ra (mol gcat-1 s-1)papb/raKrm (lineal)Error (%)rm (NLE)Error (%)C04=K*C01*C02/(1+KA*C01+KC*C03)10.1120.0731.375.08980.0721.080.0721.08211023.422.925.06903.4040.483.4040.48310120.5418.523.86520.5410.260.5410.26POLYMATH Results412026.82.944.66256.8070.106.8080.1003-15-20075120102.886.944.66102.8810.052.8780.05620120.5635.715.11550.5600.040.5590.04Nonlinear regression (L-M)71120.342.944.66250.3400.100.3400.10812054.54.444.71484.5050.124.5020.12Model: C04 = K*C01*C02/(1+KA*C01+KC*C03)ALinealNLEVariable Ini guess Value 95% confidenceexperimentoABC-rapapb/raK4.73004.8282392K 4 4.8282392 1.2703210.1120.0731.37KA8.1635670668.3429707KA 8 8.3429707 2.4392938310120.5418.52KC2.36690941532.42104KC 2 2.42104 0.6430688620120.5635.7171120.342.94Nonlinear regression settingsMax # iterations = 64BABC-rapapb/ra211023.422.92Precision412026.82.94R^2 = 0.99999271120.342.94R^2adj = 0.9999888Rmsd = 0.0022762Variance = 6.632E-05CexperimentoABC-rapapb/raGeneral412026.82.94Sample size = 85120102.886.94# Model vars = 3812054.54.44# Indep vars = 3# Iterations = 7
r vs PA
PA*PB/r vs PA
r vs PC
PA*PB/ra vs PC
r vs PB
ClsicoClsico
NLEClsico
PA*PB/r vs PB
