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ChE 452 Lecture 04 Measuring Rate Data 1

ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

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Page 1: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

ChE 452 Lecture 04Measuring Rate Data

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Page 2: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Objective

General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design of experiments

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Page 3: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

General Approach

Initiate reactionmeasure concentration vs timefit data to calculate rates

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0 1 2 3 4 5 6

Time, Hours

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Co

nce

ntr

atio

n

Page 4: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Rate Measurements: An Old Topic

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0 2 4 6 8 10 12

Time, Hours

00.10.20.30.40.50.60.70.80.91

1.1

Co

nce

ntr

atio

n

Figure 3.1 Wilhelmy’s [1850] measurements of the changes in sucrose concentration in grape juice after acid is added.

Page 5: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Many Methods To Do Measurements

Techniques include: conventional, stopped flow, temperature jump…

Differ via time scale of reaction Need to mix reactants and initiate

reaction before reaction is done Different techniques used for fast

reactions than slow ones

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Page 6: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Batch Methods To Measure Reaction Rates

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Conventional 1) Mix reactants together in a batch reactor

2) Measure concentration versus time

10 sec or more

Stopped flow 1) Set of continuous-flow systems where reactants are fed into the reactor, and flow out again so quickly that there is negligible reaction

2) Stop the flow so that the reactants can react

3) Measure conversion versus time

10-1 sec or more

Temperature jump

1) Mix reactants at such a low temperature that the reaction rate is negligible

2) Use CO2 laser to suddenly heat reactants

3) Measure concentration vs time

10-6 sec or more

Table 3.1

Page 7: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Batch Methods Continued

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Shock tube 1) Put 10-1 atm of one reactant and 10 atm of helium on one side of a diaphragm

2) Put 10-3 atm of the other reactant on the other side of the diaphragm

3) Suddenly break the diaphragm so that the gas flows from the high-pressure side to the low-pressure side

4) Measure the reactant concentration vs time

10-3 to 10-5 sec

Flash photolysis

1) Put the reactants into a vessel under conditions where reaction is negligible

2) Pulse a laser or flash lamp to start reaction

3) Measure the reactant concentration vs time

10-9 to 10-1 sec

NMR 1) Initiate a change with a magnetic pulse

2) Measure the decay of spins with the NMR

10-2 to 10-9 sec

Page 8: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Flow Methods To Measure Reaction Rates

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Conventional flow system

1) Continuously feed reactants into a reactor – CSTR or plug flow

2) Measure the steady state reaction rate

10-3 sec or more

Molecular beam 1) Direct beams of reactants toward each other in a vacuum system

2) Measure the steady state reaction rate

10-13 to 10-9 sec

Page 9: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

How Do You Decide What Experimental Method To

Use?

Key Issues:• Direct method or indirect method• Can measurement be done on an

appropriate time scale?

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Page 10: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Direct vs Indirect Methods

Recall – rate equation is the rate as a function of the concentrations

• Direct method - any method where you actually measure the rate as a function of concentration

• Indirect method - a method where you measure some other property (i.e. concentration vs time) and infer a rate equation.

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Page 11: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Example: Consider Arsine Doping Of Silicon

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To Pump

Feed

SiliconWafers

Holder(boat)

3-zone ovenPressure Gauge

Door(Loadlock)

Figure 3.6 A typical arsine decomposition reactor.

2AsH 2As 3H3 2

Page 12: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Direct Measurement

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P = P eAsH AsH0 k t

3 31

ExhaustFeed

Wafer

Microbalance

HeatLamp

Figure 3.7 A possible apparatus to examine the decomposition of arsine (AsH3) on silicon.

Page 13: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Indirect Measurement

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0 5 10 15 20 25 30 3510

100

Time, Hours

Pre

ssur

e, x

2, to

rr

Figure 3.8 Typical batch data for reaction(3.7). Data of Tamaru[1955].

Page 14: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

A Comparison Of The Advantages And Disadvantages Of Direct And Indirect

Methods

Direct Method Advantages

• Get rate equation directly• Easy to fit data to a rate law• High confidence on final rate

equation

Disadvantages• Difficult experiment• Need many runs• Not suitable for very fast or

very slow reactions

Indirect MethodDisadvantages

• Must infer rate equation• Hard to analyze rate data• Low confidence on final

rate equation

Advantages• Easier experiment• Can do a few runs and

get important information• Suitable for all reactions

including very fast or very slow ones

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Page 15: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Other Notation

Direct method• differential method• differential reactor

Indirect method• integral method

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Page 16: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Initial Rate Method

Start with multiple parallel reactors Fill each with a different

concentration Let reaction go & measure

conversion vs time Get rate from slope extrapolated to

zero

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Page 17: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Next: Start Analysis Of Data From Indirect Reactors:

Which is easier to analyze?• Direct method (rate vs concentration• Indirect method (concentration vs

time)

Direct is easier to analyze.

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Page 18: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Analysis Of Data From A Differential Reactor

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0.020

0.100

10 100

Oxygen Pressure (Torr)

Etc

h R

ate

(mic

rons

/min

)

Metallic Color

Oxide Color

Slope = 0.5

0.030

0.040

0.050

0.060

0.080

0.010

General method – least squares with rate vs time data

Figure 3.10 The rate of copper etching as a function of the oxygen concentration. Data of Steger and Masel [1998].

Page 19: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Next: Multiple Variable Analysis

Rates of reaction usually strongly effected by many variables Temperature: concentration,

solvents, inpurities, catalysts, …… So far only consider one

variable: Concentration

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Page 20: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Example: Develop A Rate Equation For The Growth Of

Grass

Variables• Sunlight• Rain• Amount of grass seed• Number of birds and insects• Fertilizer• Soil type• Soil bacteria

How do we proceed to measure a rate?

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Page 21: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Usual Technique: Initial Rate Method

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•Start with multiple parallel reactors•Fill each with a different concentration•Let reaction go & measure conversion vs time•Get rate from slope extrapolated to zero

Page 22: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

If We Have Several Variables, What Do We

Measure?General approach Take some preliminary data to

determine what variables are important Usually requires multiple iterations

Take more detailed measurements on the variables that are most important

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Page 23: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Design Of Experiments To Determine Which Variables Are Important

2n designs Pick two values of each of the

variables Look at two possibilities for each

variable Do experiments for all combinations Do analysis to decide which

variables are important

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Page 24: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Example: How Does Temperature And Concentration Affect Selectivity Of A

Reaction Pick two values of each variable

Temperature + = higher temperatureTemperature - = lower temperatureConcentration + = higher concentrationConcentration - = lower concentration

Look at all possibilities

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Page 25: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Table of All Possibilities

Run # T C Result

1 + + 30%

2 + - 40%

3 - + 60%

4 - - 50%

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Page 26: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

How Do We Analyze The Data?

Look at the deviation from the mean Calculate row averages

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Page 27: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

For Our Example, Mean=45%

Run # T C Deviation

1 + + -15%

2 + - -5%

3 - + +15%

4 - - +5%

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Page 28: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Calculate Row Averages

Run # T C Deviation

1 + + -15%

2 + - -5%

3 - + +15%

4 - - +5%

=+(-15%) +(-

5%) -(+15%)-(+5%)=-40%

=+(-15%) -(-5%)

+(+15%)-(+5%)=0%

+5%

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Page 29: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

First Conclusion

Want temperature to be low Cannot tell about concentration

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Page 30: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Calculate Row Averages

Run # T C Deviation

1 + + -15%

2 + - -5%

3 - + +15%

4 - - +5%

=+(-15%) +(-

5%) -(+15%)-(+5%)=-40%

=+(-15%) -(-5%)

+(+15%)-(+5%)=0%

+5%

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Page 31: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Is It True That We Do Not Care About Concentration?

Run # T C Deviation

1 + + -15%

2 + - -5%

3 - + +15%

4 - - +5%

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Answer no: If the temperature is low, can improve conversion by keeping the concentration high – it is just that the opposite effect occurs when the temperature is high

Page 32: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Lets Examine The Effect Of TC (Simultaneous Variation

of T+C)

Run # T C TC Deviation

1 + + + -15%

2 + - - -5%

3 - + - +15%

4 - - + +5%

-40% 0 -20 +5%

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Want T – and TC -

Page 33: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Can Extend Process To Several Variables

Run A B C D1 + + + +2 + + + -3 + + - +4 + + - -5 + - + +6 + - + -7 + - - +8 + - - -9 - + + +

10 - + + -11 - + - +12 - + - -13 - - + +14 - - + -15 - - - +16 - - - -

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Gives too many runs

Page 34: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Software To Help

Concept: we usually want to fit the data to a simple function:

Response=C1+C2A+C3B+…

Only need enough runs to fit constants accurately

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Page 35: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Echip Software Example

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Page 36: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Software Setup

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Page 37: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Number of Runs Substantially Reduced

4 variables, 4 values with 3 replicates gives (4)4 + 3*4 = 268 runs

Echip achieves almost the same accuracy with 23 runs!

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Page 38: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Summary

Single variables use ANOVA to check models

Multivariable problems Use design of experiments to see which

variables are important (2n) designs Software can simplify runs Use variances to fit models (automatic

in software)

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Page 39: ChE 452 Lecture 04 Measuring Rate Data 1. Objective General concepts in measurement of rate data Compendium of methods (language) Direct vs indirect Design

Class Question

What did you learn new today?

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