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Diels-Alder Reaction Experimental Design: Difference between revisions

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== Optimum Experimental Design Problem ==
== Optimum Experimental Design Problem ==


The aim is to compute an optimal experimental design <p><math>\psi<math><p> which minimizes the uncertainties of the parameters <math>k_1, k_{cat}, E_1, E_{cat}, \lambda<math>. So, we have to solve the following optimum experimental design problem:
The aim is to compute an optimal experimental design <math>\psi<\math> which minimizes the uncertainties of the parameters <math>k_1, k_{cat}, E_1, E_{cat}, \lambda<\math>. So, we have to solve the following optimum experimental design problem:


<p>
<p>

Revision as of 14:55, 8 December 2015

The Diels-Alder Reaction is an organic chemical reaction. A conjugated diene and a substituted alkene react and form a substituted cyclohexene system.

More information about the reaction can be found in ...


Model Formulation

Differential equation system:

n1˙(t)=kn1(t)  n2(t)mtot,n2˙(t)=kn1(t)  n2(t)mtot,n3˙(t)=  kn1(t)  n2(t)mtotn4˙(t)=0

Reaction velocity constant:

k=k1  exp(E1R  (1T(t)  1Tref)) + kcat  ccat  exp(λ  t)  exp(EcatR  ( 1T(t)  1Tref))

Total mass:

mtot=n1  M1 + n2  M2 + n3  M3 + n4  M4

Temperature in Kelvin:

T(t)=ϑ(t)+273

The ODE system is summarized to:

x˙(t)=f(x(t),u(t),p)

Optimum Experimental Design Problem

The aim is to compute an optimal experimental design Failed to parse (unknown function "\math"): {\displaystyle \psi<\math> which minimizes the uncertainties of the parameters <math>k_1, k_{cat}, E_1, E_{cat}, \lambda<\math>. So, we have to solve the following optimum experimental design problem: <p> <math> \begin{array}{cll} \displaystyle \min_{x, G, F, u} && trace(F^{-1} (t_{end})) \\[1.5ex] \mbox{s.t.} \\ \dot{x}(t) & = & f(x(t), u(t),p), \\ \\ \dot{h}(t) & = & \frac{n_3(t) \ \cdot \ M_3}{m_{tot}} \ \cdot \ 100 \\ \\ \dot{G}(t) & = & f_x(x(t),u(t),p)G(t) \ + \ f_p(x(t),u(t),p) \\ \\ \dot{F}(t) & = & w(t) (h_x(x(t),u(t),p)G(t))^T (h_x(x(t),u(t),p)G(t)) \\ \\ 0.1 & \le & n_{a1} \ \cdot \ M_1 \ + \ n_{a2} \ \cdot \ M_2 \ + \ n_{a4} \ \cdot \ M_4 \\ \\ 10 & \ge & n_{a1} \ \cdot \ M_1 \ + \ n_{a2} \ \cdot \ M_2 \ + \ n_{a4} \ \cdot \ M_4 \\ \\ 0.1 & \le & \frac{ n_{a1} \ \cdot \ M_1 \ + \ n_{a2} \ \cdot \ M_2 }{ n_{a1} \ \cdot \ M_1 \ + \ n_{a2} \ \cdot \ M_2 \ + \ n_{a4} \ \cdot \ M_4 } \\ \\ 0.7 & \ge & \frac{ n_{a1} \ \cdot \ M_1 \ + \ n_{a2} \ \cdot \ M_2 }{ n_{a1} \ \cdot \ M_1 \ + \ n_{a2} \ \cdot \ M_2 \ + \ n_{a4} \ \cdot \ M_4 } \\ \\ 0 & = & \vartheta_{lo}, \quad \forall \, t \in [t_0,2] \\ \\ 0 & = & \vartheta_{lo} + \frac{t-2}{6} ( \vartheta_{up} - \vartheta_{lo} ) , \quad \forall \, t \in [2,8] \\ \\ 0 & = & \vartheta_{up}, \quad \forall \, t \in [8,t_{end}] \\ \\ x & \in & \mathcal{X},\,u \in \mathcal{U},\, p \in P. \end{array} }


State variables
Name Symbol Initial value (t0)
Molar number 1 n1(t) n1(t0)=na1
Molar number 2 n2(t) n2(t0)=na2
Molar number 3 n3(t) n3(t0)=0
Solvent n4(t) n4(t0)=na4


Constants
Name Symbol Value
Molar Mass M1 0.1362
Molar Mass M2 0.09806
Molar Mass M3 0.23426
Molar Mass M4 0.236
Universal gas constant R 8.314
Reference temperature Tref 293
St.dev of measurement error σ 1
Parameters
Name Symbol Value
Steric factor k1 p10.01
Steric factor kkat p20.10
Activation energie E1 p360000
Activation energie Ekat p440000
Catalyst deactivation coefficient λ p50.25

with pj=1, j=1,,5

Control variables
Name Symbol Interval
Initial molar number 1 na1 [0.4,9.0]
Initial molar number 2 na2 [0.4,9.0]
Initial molar number 4 na4 [0.4,9.0]
Concentration of the catalyst ckat [0.0,6.0]
Initial molar number 1 ϑ(t) [20.0,100.0]

Measurement grid

t0=0tend=20tj=j/3,j=1,,15,tj=j10,j=16,,20.

References

R. T. Morrison and R.N. Boyd. Organic Chemistry. Allyn and Bacon, Inc., 4th edition, 1983 \\ Dissertation Stefan Körkel