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Chemical Reaction Engineering (CRE) is the field that studies the rates and mechanisms of chemical reactions and the design of the reactors in which they take place. Lecture 11

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Page 1: Lecture 11 - University of Michigan › ~essen › html › powerpoints › lecture... · Lecture 11 . Today’s lecture ... /dt 0.35 0.25 0.175 0.12 Plot –dC A /dt as a function

Chemical Reaction Engineering (CRE) is the field that studies the rates and mechanisms of

chemical reactions and the design of the reactors in which they take place.

Lecture 11

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Today’s lecture   Determining the Rate Law from Experimental Data

  Integral Method  Differential (Graphical) Method  Nonlinear Least Regression

  Multiple Reactions  The Four Types  What’s New to Our Algorithm  Reactions in Series

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Integral Method Consider the following reaction that occurs in a constant volume Batch Reactor: (We will withdraw samples and record the concentration of A as a function of time.)

A Products

Mole Balance:

Rate Law:

Stochiometry:

Combine: 3

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Finally we should also use the formula to plot reaction rate data in terms of conversion vs. time for 0, 1st and 2nd order reactions.

Derivation Equations used to Plot 0, 1st and 2nd order reactions.

These types of plots are usually used to determine the values k for runs at various temperatures and then used to determine the activation energy.

Zero order First Order Second Order

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Guess and check for α = 0, 1, 2 and check against experimental plot

t

CA

t

ln(CA0/CA)

t

1/CA

Finding the Rate law (Integral Method)

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Differential Method Taking the natural log of

The reaction order can be found from a ln-ln plot of:

Slope = α

ln

ln

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Methods for finding the slope of log-log and semi-log graph papers may be found at

http://www.physics.uoguelph.ca/tutorials/GLP/.

However, we are usually given concentration as a function of time from batch reactor experiments:

time (s) 0 t1 t2 t3

concentration (moles/dm3) CA0 CA1 CA2 CA3

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Three Ways to determine (-dCA/dt) from Concentration-Time Data   Graphical differentiation   Numerical differentiation formulas   Differentiation of a polynomial fit to the data 1. Graphical

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The method accentuates measurement error! 9

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Example - Finding Rate Law t(min) 0 1 2 3

CA(mol/L) 1 0.7 0.5 0.35

0.3 0.2 0.15

.1

.2

.3

t 1 2 3

Areas equal for both sides of the histogram

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Example - Finding Rate Law Find the f(t) of using equal area differentiation

CA 1 0.7 0.5 0.35

-dCA/dt 0.35 0.25 0.175 0.12

Plot –dCA/dt as a function of CA ln

CA

Slope = α dCA/dt

ln 11

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Non-Linear Least-Square Analysis

That is we want to be a minimum.

We want to find the parameter values (α, k, E) for which the sum of the squares of the differences, the measured rate (rm), and the calculated rate (rc) is a minimum.

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Non-Linear Least-Square Analysis

For concentration-time data, we can integrate the mole balance equation for to obtain

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Non-Linear Least-Square Analysis

We find the values of alpha and k which minimize s2

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Cmeas 1 0.7 0.5 0.35

CCalc 1 0.5 0.33 0.25

(Cc-Cm) 0 -0.2 -0.17 -0.10

(Cc-Cm)2 0 0.04 0.029 0.01 0.07

for α= 2, k = 1 → S2 = 0.07

for α = 2, k = 2 → S2 = 0.27

etc. until S2 is a minimum 15

Regression Method Guess values forα and k and solve for measured data points then sum squared differences:

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Residuals

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End of Lecture 11

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