SlideShare une entreprise Scribd logo
1  sur  19
Télécharger pour lire hors ligne
Autocatalytic Process
                              D Driving Property


                Feedback                                                                      Process


                                          Process Output
                         nD
A process, such as a set of chemical reactions, can be said to have key elements that drive it to completion. If, in the course of the process, the
output of the process enhances or increases these driving elements, then, with the production of more of the driving elements, the process
goes faster.

A combinatorial explosion results.

For example, for a process that doubles the emph{driving force} each cycle produces, after n cycles, 2**n elements. 2**n is a rapidly
increasing function.
Ignition Process
        The driving forces are:
            •Heat (Temperature)
             •The breaking of bonds produces heat
             • Heat increases temperature
             • Higher temperature makes the reactions faster
            •Radicals
             •More radicals make the system more reactive
             •The more radicals
             •The faster the reactions
Within an ignition process, there are basically two driving forces, acting simultaneously, which make the process autocatalytic:
  - Heat (or Temperature)
  - Radicals

Heat release, caused for example by the breaking of bonds, can create a temperature increase, which in turn can drive the reactions to react
faster, starting the catalytic cycle again.

Radicals are very reactive. The more radicals a system have, the more reactive the system is in general. This, in turn, produces more radicals,
promoting the catalytic cycle.

Heat release and radicals both increase the overall rate of the process. In a typical hydrocarbon combustion process, both are usually increasing
at the same time, especially when considering a zero-dimensional system, where only the chemical reactions are considered. In high
dimensions, di!usion or conductivity can also promote the increase of radicals or heat, respectively.
Thermal Explosions
 A simple system:                    •Heat Source:
                                      •A set of chemical reactions
                                     •Heat Sink:
                                      •Surrounding wall at constant temperature
          If the heat generated by the reactions (increasing T)
                              is faster than the walls can absorb
                        Then heat is accumulated in the system
                                                Explosion occurs
In the next couple of slides a simple system will be analyzed where heat is generated by a set of reactions and some of the heat
is absorbed by the walls.
If the heat generated is faster than the absorption by the walls, then the system accumulates heat and an explosion is possible.
Closed System



                                                                           3"&')76):"&;'<745
                                                     :"&;'<745                  :)*) ! -)=


                                                                                !"#$"%&'(%")*)!


                                                                 3"&')!%&456"%)'7)8&99
                                                                +)*),)-)./012)-).!!!&2)



                                        !"#$"%&'(%")*)!&

To examine the problem a bit more quantitatively, a simple system is set up: A set of exothermic reactions occur within a closed vessel with the
walls at a certain temperature.

The chemical reactions, with rates dependent on temperature, produce heat and contribute to increase the temperature of the system.

The walls of the system, are kept at a certain temperature. How much heat they absorb or give o! is proportional to the di!erence in
temperature within the vessel and the walls.
Equations: Wall

                   • Heat Transfer to Wall: L = h(S/V)(T-Ta)
                    • The heat transfered, L,
                    • at a temperature, T,
                    • to the wall at temperature, Ta,
                    • which is a function of the surface area, S, and
                    • volume, V
                    • is scaled by the heat transfer coefficient, h,

The amount of heat that is conducted between one system and another, in this case the wall and inside of the vessel, is proportional to the
di!erence between the system temperature and the wall temperature.

One can also imagine that the amount of heat is also proportional to the amount of contact between the wall and the inside of the vessel where
the reactions occur. Hence the term, S/V, per unit volume.

In addition, the amount of heat transfer is dependent on the substances involved. Thus there is a heat transfer coe"cient.

The sign of the temperature determines the direction of the heat transfer.
Equations: Reactions

                • Heat Production by Reactions: R = ! q
                 • The heat produced, R,
                 • with a reaction rate of !(1/(conc time)) and
                 • a net molar exothermicity, q.



The heat, R, produced by the reactions, can be represented simply by the net rate of reaction and the net molar heat production.
Effect of Heat Transfer

                    •Heat Transfer to Wall: L = h(S/V)(T-Ta)
                    •Heat Production by Reactions: R = ! q

                    •R > L: Temperature increase
                     •Walls don’t absorb enough heat
                    •R< L: Temperature decrease
                     •Walls absorb more heat than produced
Two cases can be isolated.

If the heat release of the reactions is greater than the absorption of the walls, the wall won’t absorb enough heat and the
temperature increases.

If the wall absorption is greater, then heat is taken out of the system and there is a temperature decrease.
Heat Sources and Sinks

                                                                          Increasing Concentration




                                                                                                               Heat Release by Reacion
                                                                                                               Heat Transfer to Walls
                                                                                                     Tu
                                                                                             Tc


                                               Ta                                 Ts

                                                                     Temperature
The heat release of a set of reactions is dependent on temperature. This is depicted as the red line in the diagram. As the temperature
increases, the amount of heat released increases. Note that it is not linear.

The walls, acting as a large heat sink, try to stabilize the temperature to the given temperature. With no source of heat, the temperature within
the vessel would tend toward the wall temperature. The blue line represents the rate of heat that the wall is capable of absorbing from the
system.

Below the blue line, the rate of heat absorption of the wall is greater, so the system tends toward the temperature of the wall, because the wall
can absorb heat faster.
Temperature Increase
                                                                Temperature


                                                          Walls absorb less heat
                                                          than reactions produce




                                                                                                Heat Release by Reacion
                                                                                                Heat Transfer to Walls
                                                          Heat put into system
                                                          So a increase in T


                                                Until absorbsion and
                                                production are equal




                                               1 2 3 4



                                           Reactants                 Walls
                                             Heat                 Absorb Heat


In the case that the reactions produce more heat than the walls can absorb, then it can be expected that the temperature increases.

However, in this case, the temperature increases until, once again, the reactions produce the same amount of heat as the walls absorb.

In both cases, the system stabilizes so the wall and the system have the same temperature.
Wall Sink
                                                                   Temperature


                                                             Walls absorb more heat
                                                             than reactions produce




                                                                                                   Heat Release by Reacion
                                                                                                   Heat Transfer to Walls
                                                             Heat taken out
                                                             So a decrease in T


                                                  Until absorbsion and
                                                  production are equal




                                                            6 5    4     3    2   1



                                              Reactants                   Walls
                                                Heat                   Absorb Heat

With the case that the wall absorbs more heat than the reactions produce, then it can be expected that thermal explosion does not occur. The
walls keep the process in check.

If the walls absorb more heat, then the overall temperature of the process decreases. Progressively, from step one to step 6, the temperature
settles to where the heat loss to the walls equals the heat produced by the reactions.
Thermal Explosion




                                                                                                                            Heat Release by Reacion
                                                                                                   Heat Transfer to Walls
                                                 R >L

                                        Ta
                                                            Temperature Alway Temperature Increase
In the case that the heat produced by the reactions is always larger than the heat absorbed by the walls then the temperature will always
increase and a thermal explosion occurs.
Isothermal Chain Branching
      Initiation:                                       A −→ X
                                                        ν1 = k1 [A]
      Branching:                                        A + X −→ mX + products
                                                        ν2 = k2 [X][A]
      Termination:                                      X −→ products
                                                        ν3 = k3 [X]

The last example was explosion due to increase in temperature (how the reactions produced the rise in temperature was not specified. In this
example, the temperature is kept constant and the driving force is a molecular species.

The initiation reactions get the chain reactions going, usually by creating the driving force species. For example, an initiation reaction can be
one with no radicals as reactants, but create radicals as products. With radicals being the driving force.

The branching reactions are those which produce more of the driving force species. For example, if the reactant contain one radical, but the
products contain two (not necessarily the same) radical, then the reaction is a branching reaction. This type of reaction enhances the catalytic
action.
If the same number of radicals are found in the products and reactions, then it could be called a propagation reaction.

Termination steps reduce the driving force. For example, if two radicals combine to form a non-radical species, then it is a terminal reaction.
Chain Equations
                 d[X]
                      = k1 [A] + (m − 1)k2 [A][X] − k3 [X]
                  dt

                Pool Approximation                                                   [A] = [A]0

              d[X]
                   = k1 [A]0 + (m − 1)k2 [A]0 [X] − k3 [X]
               dt


Writing the full expression for the production of X,
if we assume that the amount of fuel, A, is always in abundance, then we can assume that concentration is always close to the initial
concentration. This is called the pool approximation and is at least true at the beginning of the explosion.
The final expression becomes an expression whose only dependent variable is [X].
Chain Equations
     d[X]
          = k1 [A]0 + [X]((m − 1)k2 [A]0 − k3 ) = k1 [A]0 + φ[X]
      dt
                                                          Integrating:
                                              k1 [A]0 φt
                                        [X] =        (e − 1)
                                                 φ
                               with             φ = (m − 1)k2 [A]0 − k3

With this approximation, d[X]/dt is only a function of X, so the expression can be integrated to give an expression for [X]:

 [X] = k1[A0]/!(exp(!t) - 1)

The critical parameter is ! in the exponential. If we examine the values, we can divide the behavior into di"erent regimes.
Case: ! < 0


                   Case 1: φ < 0                                   k3 > (m − 1)k2 [A]0
                                                                   Termination stronger
                                                                          k1 [A]0
                                                                   [X] → φ
                                                                   Reaches stable value


 Looking at the value of !, the behavior of the system can be analyzed through the behavior of [X] as t approaches infinity.
If ! is less than 0, the termination reaction, k3, is larger than the branching. This means that the system will reach a stable value.
Case: ! > 0

         Case 2: φ > 0                                k3 < (m − 1)k2 [A]0
                                                      Branching stronger
                                                      [X] → inf
                                                      grows without limit, explodes



In the case of ! > 0, the termination reactions are slower, the branching reactions dominate, so the value of [X] grows without limit. The system
explodes.
Case: ! = 0


   Case 3: φ = 0                              k3 = (m − 1)k2 [A]0
                                              Branching and Termination balanced
                                              [X] = k1 [A]
                                              linear growth



In the case of ! = 0, the branching and termination reactions are balanced and [X] has linear growth of [X] = k1[A].
Isothermal Chain Branching
                                                                          !!%!#

                                                                                           !!$!#
                                      [X]

                                                                                              !!"!#



                                                                      time
This is a graph of the behavior of [X] versus time of the the three cases represented by ! = (m-1)k_2[A0]-k3, where ! gives the relationship
between branching reaction, in the term (m-1)k2[A0] and the termination reaction, in the term k3.

So in this case, at constant temperature conditions, it is purely the species X which determines the explosion. In a typical combustion reaction,
actually it is a combination of both which produces the autocatalytic e"ect. In fact, they enhance can each other. As the temperature goes up,
the rates of reactions increase, increasing the number of radicals in the system.
Ignition Process: Time Scale
                                                                           Very
                                                                           fast            Equilibrium




                                            Temperature                     Ignition




                                                            Initiation


                                                                            time
                                                          Unburnt                   Burn (Equilibrium)
                                                           State                          State
                                                          Approximation for high temperature processes
The autocatalytic e!ect in a typical combustion ignition is very fast. The rise in temperature can be very steep. In higher temperature
conditions, there is a slow rise in temperature for the initiation period and then when a certain threshold is reached, then there is a very rapid
rise in temperature.

Also in terms of time scales, one can almost view the process as a step function, where the species are either in the initial unburnt
configuration or, assuming ignition occurred, in the burnt configuration.

Contenu connexe

Tendances

2 important terms related to solar energy
2 important terms related to solar energy2 important terms related to solar energy
2 important terms related to solar energyMd Irfan Ansari
 
Heat transfer & heat exchangers
Heat transfer & heat exchangersHeat transfer & heat exchangers
Heat transfer & heat exchangersMohamed Alsalihi
 
Modes of Heat Transfer - An Experimental Approach
Modes of Heat Transfer - An Experimental ApproachModes of Heat Transfer - An Experimental Approach
Modes of Heat Transfer - An Experimental ApproachNoaman Ahmed
 
Heat energy flows in buildings
Heat energy flows in buildings Heat energy flows in buildings
Heat energy flows in buildings Noah Mahimbo
 
CLIMO heat loss.pptx
CLIMO heat loss.pptxCLIMO heat loss.pptx
CLIMO heat loss.pptxRakeshC34
 
Pharmaceutical engineering: Heat transfer
Pharmaceutical engineering: Heat transferPharmaceutical engineering: Heat transfer
Pharmaceutical engineering: Heat transferParag Jain
 
First law of thermodynamics
First law of thermodynamicsFirst law of thermodynamics
First law of thermodynamicsAayush Kar
 
Heat transfer in human body
Heat transfer in human bodyHeat transfer in human body
Heat transfer in human bodyManish Kapgate
 
Methods of heat transfer and thermal properties of soil
Methods of heat transfer and thermal properties of soil Methods of heat transfer and thermal properties of soil
Methods of heat transfer and thermal properties of soil dathan cs
 
Ch8 - thermodynamics
Ch8  - thermodynamicsCh8  - thermodynamics
Ch8 - thermodynamicscpphysics
 
Brief introduction to thermodynamics
Brief introduction to thermodynamicsBrief introduction to thermodynamics
Brief introduction to thermodynamicsPraveenRegmi4
 
Thermodynamics-HEAT ENGINES
Thermodynamics-HEAT ENGINESThermodynamics-HEAT ENGINES
Thermodynamics-HEAT ENGINESselvakumar948
 

Tendances (20)

Thermodynamics - 203PHYS
Thermodynamics - 203PHYSThermodynamics - 203PHYS
Thermodynamics - 203PHYS
 
2 important terms related to solar energy
2 important terms related to solar energy2 important terms related to solar energy
2 important terms related to solar energy
 
Heat transfer & heat exchangers
Heat transfer & heat exchangersHeat transfer & heat exchangers
Heat transfer & heat exchangers
 
Heat 2 (thermodynamics)
Heat 2 (thermodynamics)Heat 2 (thermodynamics)
Heat 2 (thermodynamics)
 
Modes of Heat Transfer - An Experimental Approach
Modes of Heat Transfer - An Experimental ApproachModes of Heat Transfer - An Experimental Approach
Modes of Heat Transfer - An Experimental Approach
 
Heat energy flows in buildings
Heat energy flows in buildings Heat energy flows in buildings
Heat energy flows in buildings
 
Heat Transfer
Heat TransferHeat Transfer
Heat Transfer
 
CLIMO heat loss.pptx
CLIMO heat loss.pptxCLIMO heat loss.pptx
CLIMO heat loss.pptx
 
Pharmaceutical engineering: Heat transfer
Pharmaceutical engineering: Heat transferPharmaceutical engineering: Heat transfer
Pharmaceutical engineering: Heat transfer
 
First law of thermodynamics
First law of thermodynamicsFirst law of thermodynamics
First law of thermodynamics
 
Heat transfer in human body
Heat transfer in human bodyHeat transfer in human body
Heat transfer in human body
 
Heating and cooling load of a building
Heating and cooling load of a buildingHeating and cooling load of a building
Heating and cooling load of a building
 
Thermodynamics
ThermodynamicsThermodynamics
Thermodynamics
 
Methods of heat transfer and thermal properties of soil
Methods of heat transfer and thermal properties of soil Methods of heat transfer and thermal properties of soil
Methods of heat transfer and thermal properties of soil
 
Heat transfer
Heat transferHeat transfer
Heat transfer
 
Ch8 - thermodynamics
Ch8  - thermodynamicsCh8  - thermodynamics
Ch8 - thermodynamics
 
Work and heat
Work and heatWork and heat
Work and heat
 
Brief introduction to thermodynamics
Brief introduction to thermodynamicsBrief introduction to thermodynamics
Brief introduction to thermodynamics
 
Calorimeter
CalorimeterCalorimeter
Calorimeter
 
Thermodynamics-HEAT ENGINES
Thermodynamics-HEAT ENGINESThermodynamics-HEAT ENGINES
Thermodynamics-HEAT ENGINES
 

En vedette

Relational algebra1
Relational algebra1Relational algebra1
Relational algebra1Tianlu Wang
 
Extracting data from xml
Extracting data from xmlExtracting data from xml
Extracting data from xmlKumar
 
Android tutorial (2)
Android tutorial (2)Android tutorial (2)
Android tutorial (2)Kumar
 
Dataware housing
Dataware housingDataware housing
Dataware housingwork
 
Informatica PowerAnalyzer 4.0 3 of 3
Informatica PowerAnalyzer 4.0 3 of 3Informatica PowerAnalyzer 4.0 3 of 3
Informatica PowerAnalyzer 4.0 3 of 3ganblues
 
Informatica PowerAnalyzer 4.0 2 of 3
Informatica PowerAnalyzer 4.0 2 of 3Informatica PowerAnalyzer 4.0 2 of 3
Informatica PowerAnalyzer 4.0 2 of 3ganblues
 
Triggers
TriggersTriggers
Triggerswork
 
Leadership
LeadershipLeadership
LeadershipKumar
 
Cloud Computing
 Cloud Computing Cloud Computing
Cloud ComputingAbdul Aslam
 
Job analysis of a reporter
Job analysis of a reporterJob analysis of a reporter
Job analysis of a reporterAbdul Aslam
 
Android structure
Android structureAndroid structure
Android structureKumar
 
Zackman frame work
Zackman frame workZackman frame work
Zackman frame workganblues
 
Mendelian Randomisation
Mendelian RandomisationMendelian Randomisation
Mendelian RandomisationJames McMurray
 
Data Warehouse
Data WarehouseData Warehouse
Data Warehouseganblues
 
Introduction to XML
Introduction to XMLIntroduction to XML
Introduction to XMLKumar
 
Software Testing Tool Report
Software Testing Tool ReportSoftware Testing Tool Report
Software Testing Tool ReportAbdul Aslam
 

En vedette (19)

Relational algebra1
Relational algebra1Relational algebra1
Relational algebra1
 
Extracting data from xml
Extracting data from xmlExtracting data from xml
Extracting data from xml
 
Android tutorial (2)
Android tutorial (2)Android tutorial (2)
Android tutorial (2)
 
Dataware housing
Dataware housingDataware housing
Dataware housing
 
Informatica PowerAnalyzer 4.0 3 of 3
Informatica PowerAnalyzer 4.0 3 of 3Informatica PowerAnalyzer 4.0 3 of 3
Informatica PowerAnalyzer 4.0 3 of 3
 
Spm report
Spm reportSpm report
Spm report
 
Applications
ApplicationsApplications
Applications
 
Informatica PowerAnalyzer 4.0 2 of 3
Informatica PowerAnalyzer 4.0 2 of 3Informatica PowerAnalyzer 4.0 2 of 3
Informatica PowerAnalyzer 4.0 2 of 3
 
Ch03
Ch03Ch03
Ch03
 
Triggers
TriggersTriggers
Triggers
 
Leadership
LeadershipLeadership
Leadership
 
Cloud Computing
 Cloud Computing Cloud Computing
Cloud Computing
 
Job analysis of a reporter
Job analysis of a reporterJob analysis of a reporter
Job analysis of a reporter
 
Android structure
Android structureAndroid structure
Android structure
 
Zackman frame work
Zackman frame workZackman frame work
Zackman frame work
 
Mendelian Randomisation
Mendelian RandomisationMendelian Randomisation
Mendelian Randomisation
 
Data Warehouse
Data WarehouseData Warehouse
Data Warehouse
 
Introduction to XML
Introduction to XMLIntroduction to XML
Introduction to XML
 
Software Testing Tool Report
Software Testing Tool ReportSoftware Testing Tool Report
Software Testing Tool Report
 

Similaire à Chain Reactions

Similaire à Chain Reactions (20)

Thermodynamics, part 4
Thermodynamics, part 4Thermodynamics, part 4
Thermodynamics, part 4
 
Adshinde heat transfer.pptx
Adshinde heat transfer.pptxAdshinde heat transfer.pptx
Adshinde heat transfer.pptx
 
CHE 293 Thermodynamics 2.pptx thermodynamics
CHE 293 Thermodynamics 2.pptx thermodynamicsCHE 293 Thermodynamics 2.pptx thermodynamics
CHE 293 Thermodynamics 2.pptx thermodynamics
 
Heat_All.pdf
Heat_All.pdfHeat_All.pdf
Heat_All.pdf
 
Heat
HeatHeat
Heat
 
thermodynamics ppt.pptx
thermodynamics ppt.pptxthermodynamics ppt.pptx
thermodynamics ppt.pptx
 
Lecture 2
Lecture 2Lecture 2
Lecture 2
 
Heat transfer
Heat transferHeat transfer
Heat transfer
 
2 - plant thermodynamic.pdf
2 - plant thermodynamic.pdf2 - plant thermodynamic.pdf
2 - plant thermodynamic.pdf
 
Heat transfer
Heat transfer Heat transfer
Heat transfer
 
Heat and thermodynamics - Preliminary / Dr. Mathivanan Velumani
Heat and thermodynamics -  Preliminary / Dr. Mathivanan VelumaniHeat and thermodynamics -  Preliminary / Dr. Mathivanan Velumani
Heat and thermodynamics - Preliminary / Dr. Mathivanan Velumani
 
Che Module-1.pptx
Che Module-1.pptxChe Module-1.pptx
Che Module-1.pptx
 
Introduction and Basic Modes of Heat Transfer
Introduction and Basic Modes of Heat TransferIntroduction and Basic Modes of Heat Transfer
Introduction and Basic Modes of Heat Transfer
 
Basics of heat transfer 17
Basics of heat transfer 17Basics of heat transfer 17
Basics of heat transfer 17
 
Thermodynamic
ThermodynamicThermodynamic
Thermodynamic
 
Ch. 5 thermochemistry
Ch. 5 thermochemistryCh. 5 thermochemistry
Ch. 5 thermochemistry
 
GATE Mechanical Engineering notes on Heat Transfer
GATE Mechanical Engineering notes on Heat TransferGATE Mechanical Engineering notes on Heat Transfer
GATE Mechanical Engineering notes on Heat Transfer
 
2151909 heat transfer e-note (thefreestudy.com) (1)
2151909   heat transfer e-note (thefreestudy.com) (1)2151909   heat transfer e-note (thefreestudy.com) (1)
2151909 heat transfer e-note (thefreestudy.com) (1)
 
Thermodynamics
ThermodynamicsThermodynamics
Thermodynamics
 
Thermodynamics and kinetics
Thermodynamics and kineticsThermodynamics and kinetics
Thermodynamics and kinetics
 

Plus de Edward Blurock

KEOD23-JThermodynamcsCloud
KEOD23-JThermodynamcsCloudKEOD23-JThermodynamcsCloud
KEOD23-JThermodynamcsCloudEdward Blurock
 
BlurockPresentation-KEOD2023
BlurockPresentation-KEOD2023BlurockPresentation-KEOD2023
BlurockPresentation-KEOD2023Edward Blurock
 
ChemConnect: Poster for European Combustion Meeting 2017
ChemConnect: Poster for European Combustion Meeting 2017ChemConnect: Poster for European Combustion Meeting 2017
ChemConnect: Poster for European Combustion Meeting 2017Edward Blurock
 
ChemConnect: SMARTCATS presentation
ChemConnect: SMARTCATS presentationChemConnect: SMARTCATS presentation
ChemConnect: SMARTCATS presentationEdward Blurock
 
EU COST Action CM1404: WG€ - Efficient Data Exchange
EU COST Action CM1404: WG€ - Efficient Data ExchangeEU COST Action CM1404: WG€ - Efficient Data Exchange
EU COST Action CM1404: WG€ - Efficient Data ExchangeEdward Blurock
 
ChemConnect: Viewing the datasets in the repository
ChemConnect: Viewing the datasets in the repositoryChemConnect: Viewing the datasets in the repository
ChemConnect: Viewing the datasets in the repositoryEdward Blurock
 
ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...
ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...
ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...Edward Blurock
 
Poster: Characterizing Ignition behavior through morphing to generic curves
Poster: Characterizing Ignition behavior through morphing to generic curvesPoster: Characterizing Ignition behavior through morphing to generic curves
Poster: Characterizing Ignition behavior through morphing to generic curvesEdward Blurock
 
Poster: Very Open Data Project
Poster: Very Open Data ProjectPoster: Very Open Data Project
Poster: Very Open Data ProjectEdward Blurock
 
Poster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISAT
Poster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISATPoster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISAT
Poster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISATEdward Blurock
 
Characterization Ignition Behavior through Morphing to Generic Ignition Curves
Characterization Ignition Behavior through Morphing to Generic Ignition CurvesCharacterization Ignition Behavior through Morphing to Generic Ignition Curves
Characterization Ignition Behavior through Morphing to Generic Ignition CurvesEdward Blurock
 
Computability, turing machines and lambda calculus
Computability, turing machines and lambda calculusComputability, turing machines and lambda calculus
Computability, turing machines and lambda calculusEdward Blurock
 
Imperative programming
Imperative programmingImperative programming
Imperative programmingEdward Blurock
 
Database normalization
Database normalizationDatabase normalization
Database normalizationEdward Blurock
 
Generalization abstraction
Generalization abstractionGeneralization abstraction
Generalization abstractionEdward Blurock
 

Plus de Edward Blurock (20)

KEOD23-JThermodynamcsCloud
KEOD23-JThermodynamcsCloudKEOD23-JThermodynamcsCloud
KEOD23-JThermodynamcsCloud
 
BlurockPresentation-KEOD2023
BlurockPresentation-KEOD2023BlurockPresentation-KEOD2023
BlurockPresentation-KEOD2023
 
KEOD-2023-Poster.pptx
KEOD-2023-Poster.pptxKEOD-2023-Poster.pptx
KEOD-2023-Poster.pptx
 
ChemConnect: Poster for European Combustion Meeting 2017
ChemConnect: Poster for European Combustion Meeting 2017ChemConnect: Poster for European Combustion Meeting 2017
ChemConnect: Poster for European Combustion Meeting 2017
 
ChemConnect: SMARTCATS presentation
ChemConnect: SMARTCATS presentationChemConnect: SMARTCATS presentation
ChemConnect: SMARTCATS presentation
 
EU COST Action CM1404: WG€ - Efficient Data Exchange
EU COST Action CM1404: WG€ - Efficient Data ExchangeEU COST Action CM1404: WG€ - Efficient Data Exchange
EU COST Action CM1404: WG€ - Efficient Data Exchange
 
ChemConnect: Viewing the datasets in the repository
ChemConnect: Viewing the datasets in the repositoryChemConnect: Viewing the datasets in the repository
ChemConnect: Viewing the datasets in the repository
 
ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...
ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...
ChemConnect: Characterizing CombusAon KineAc Data with ontologies and meta-­‐...
 
Poster: Characterizing Ignition behavior through morphing to generic curves
Poster: Characterizing Ignition behavior through morphing to generic curvesPoster: Characterizing Ignition behavior through morphing to generic curves
Poster: Characterizing Ignition behavior through morphing to generic curves
 
Poster: Very Open Data Project
Poster: Very Open Data ProjectPoster: Very Open Data Project
Poster: Very Open Data Project
 
Poster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISAT
Poster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISATPoster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISAT
Poster: Adaptive On-­‐the-­‐fly Regression Tabula@on: Beyond ISAT
 
Characterization Ignition Behavior through Morphing to Generic Ignition Curves
Characterization Ignition Behavior through Morphing to Generic Ignition CurvesCharacterization Ignition Behavior through Morphing to Generic Ignition Curves
Characterization Ignition Behavior through Morphing to Generic Ignition Curves
 
Paradigms
ParadigmsParadigms
Paradigms
 
Computability, turing machines and lambda calculus
Computability, turing machines and lambda calculusComputability, turing machines and lambda calculus
Computability, turing machines and lambda calculus
 
Imperative programming
Imperative programmingImperative programming
Imperative programming
 
Programming Languages
Programming LanguagesProgramming Languages
Programming Languages
 
Relational algebra
Relational algebraRelational algebra
Relational algebra
 
Database normalization
Database normalizationDatabase normalization
Database normalization
 
Generalization abstraction
Generalization abstractionGeneralization abstraction
Generalization abstraction
 
Overview
OverviewOverview
Overview
 

Dernier

Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfSpandanaRallapalli
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)cama23
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxCulture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxPoojaSen20
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 

Dernier (20)

Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdf
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptxCulture Uniformity or Diversity IN SOCIOLOGY.pptx
Culture Uniformity or Diversity IN SOCIOLOGY.pptx
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 

Chain Reactions

  • 1. Autocatalytic Process D Driving Property Feedback Process Process Output nD A process, such as a set of chemical reactions, can be said to have key elements that drive it to completion. If, in the course of the process, the output of the process enhances or increases these driving elements, then, with the production of more of the driving elements, the process goes faster. A combinatorial explosion results. For example, for a process that doubles the emph{driving force} each cycle produces, after n cycles, 2**n elements. 2**n is a rapidly increasing function.
  • 2. Ignition Process The driving forces are: •Heat (Temperature) •The breaking of bonds produces heat • Heat increases temperature • Higher temperature makes the reactions faster •Radicals •More radicals make the system more reactive •The more radicals •The faster the reactions Within an ignition process, there are basically two driving forces, acting simultaneously, which make the process autocatalytic: - Heat (or Temperature) - Radicals Heat release, caused for example by the breaking of bonds, can create a temperature increase, which in turn can drive the reactions to react faster, starting the catalytic cycle again. Radicals are very reactive. The more radicals a system have, the more reactive the system is in general. This, in turn, produces more radicals, promoting the catalytic cycle. Heat release and radicals both increase the overall rate of the process. In a typical hydrocarbon combustion process, both are usually increasing at the same time, especially when considering a zero-dimensional system, where only the chemical reactions are considered. In high dimensions, di!usion or conductivity can also promote the increase of radicals or heat, respectively.
  • 3. Thermal Explosions A simple system: •Heat Source: •A set of chemical reactions •Heat Sink: •Surrounding wall at constant temperature If the heat generated by the reactions (increasing T) is faster than the walls can absorb Then heat is accumulated in the system Explosion occurs In the next couple of slides a simple system will be analyzed where heat is generated by a set of reactions and some of the heat is absorbed by the walls. If the heat generated is faster than the absorption by the walls, then the system accumulates heat and an explosion is possible.
  • 4. Closed System 3"&')76):"&;'<745 :"&;'<745 :)*) ! -)= !"#$"%&'(%")*)! 3"&')!%&456"%)'7)8&99 +)*),)-)./012)-).!!!&2) !"#$"%&'(%")*)!& To examine the problem a bit more quantitatively, a simple system is set up: A set of exothermic reactions occur within a closed vessel with the walls at a certain temperature. The chemical reactions, with rates dependent on temperature, produce heat and contribute to increase the temperature of the system. The walls of the system, are kept at a certain temperature. How much heat they absorb or give o! is proportional to the di!erence in temperature within the vessel and the walls.
  • 5. Equations: Wall • Heat Transfer to Wall: L = h(S/V)(T-Ta) • The heat transfered, L, • at a temperature, T, • to the wall at temperature, Ta, • which is a function of the surface area, S, and • volume, V • is scaled by the heat transfer coefficient, h, The amount of heat that is conducted between one system and another, in this case the wall and inside of the vessel, is proportional to the di!erence between the system temperature and the wall temperature. One can also imagine that the amount of heat is also proportional to the amount of contact between the wall and the inside of the vessel where the reactions occur. Hence the term, S/V, per unit volume. In addition, the amount of heat transfer is dependent on the substances involved. Thus there is a heat transfer coe"cient. The sign of the temperature determines the direction of the heat transfer.
  • 6. Equations: Reactions • Heat Production by Reactions: R = ! q • The heat produced, R, • with a reaction rate of !(1/(conc time)) and • a net molar exothermicity, q. The heat, R, produced by the reactions, can be represented simply by the net rate of reaction and the net molar heat production.
  • 7. Effect of Heat Transfer •Heat Transfer to Wall: L = h(S/V)(T-Ta) •Heat Production by Reactions: R = ! q •R > L: Temperature increase •Walls don’t absorb enough heat •R< L: Temperature decrease •Walls absorb more heat than produced Two cases can be isolated. If the heat release of the reactions is greater than the absorption of the walls, the wall won’t absorb enough heat and the temperature increases. If the wall absorption is greater, then heat is taken out of the system and there is a temperature decrease.
  • 8. Heat Sources and Sinks Increasing Concentration Heat Release by Reacion Heat Transfer to Walls Tu Tc Ta Ts Temperature The heat release of a set of reactions is dependent on temperature. This is depicted as the red line in the diagram. As the temperature increases, the amount of heat released increases. Note that it is not linear. The walls, acting as a large heat sink, try to stabilize the temperature to the given temperature. With no source of heat, the temperature within the vessel would tend toward the wall temperature. The blue line represents the rate of heat that the wall is capable of absorbing from the system. Below the blue line, the rate of heat absorption of the wall is greater, so the system tends toward the temperature of the wall, because the wall can absorb heat faster.
  • 9. Temperature Increase Temperature Walls absorb less heat than reactions produce Heat Release by Reacion Heat Transfer to Walls Heat put into system So a increase in T Until absorbsion and production are equal 1 2 3 4 Reactants Walls Heat Absorb Heat In the case that the reactions produce more heat than the walls can absorb, then it can be expected that the temperature increases. However, in this case, the temperature increases until, once again, the reactions produce the same amount of heat as the walls absorb. In both cases, the system stabilizes so the wall and the system have the same temperature.
  • 10. Wall Sink Temperature Walls absorb more heat than reactions produce Heat Release by Reacion Heat Transfer to Walls Heat taken out So a decrease in T Until absorbsion and production are equal 6 5 4 3 2 1 Reactants Walls Heat Absorb Heat With the case that the wall absorbs more heat than the reactions produce, then it can be expected that thermal explosion does not occur. The walls keep the process in check. If the walls absorb more heat, then the overall temperature of the process decreases. Progressively, from step one to step 6, the temperature settles to where the heat loss to the walls equals the heat produced by the reactions.
  • 11. Thermal Explosion Heat Release by Reacion Heat Transfer to Walls R >L Ta Temperature Alway Temperature Increase In the case that the heat produced by the reactions is always larger than the heat absorbed by the walls then the temperature will always increase and a thermal explosion occurs.
  • 12. Isothermal Chain Branching Initiation: A −→ X ν1 = k1 [A] Branching: A + X −→ mX + products ν2 = k2 [X][A] Termination: X −→ products ν3 = k3 [X] The last example was explosion due to increase in temperature (how the reactions produced the rise in temperature was not specified. In this example, the temperature is kept constant and the driving force is a molecular species. The initiation reactions get the chain reactions going, usually by creating the driving force species. For example, an initiation reaction can be one with no radicals as reactants, but create radicals as products. With radicals being the driving force. The branching reactions are those which produce more of the driving force species. For example, if the reactant contain one radical, but the products contain two (not necessarily the same) radical, then the reaction is a branching reaction. This type of reaction enhances the catalytic action. If the same number of radicals are found in the products and reactions, then it could be called a propagation reaction. Termination steps reduce the driving force. For example, if two radicals combine to form a non-radical species, then it is a terminal reaction.
  • 13. Chain Equations d[X] = k1 [A] + (m − 1)k2 [A][X] − k3 [X] dt Pool Approximation [A] = [A]0 d[X] = k1 [A]0 + (m − 1)k2 [A]0 [X] − k3 [X] dt Writing the full expression for the production of X, if we assume that the amount of fuel, A, is always in abundance, then we can assume that concentration is always close to the initial concentration. This is called the pool approximation and is at least true at the beginning of the explosion. The final expression becomes an expression whose only dependent variable is [X].
  • 14. Chain Equations d[X] = k1 [A]0 + [X]((m − 1)k2 [A]0 − k3 ) = k1 [A]0 + φ[X] dt Integrating: k1 [A]0 φt [X] = (e − 1) φ with φ = (m − 1)k2 [A]0 − k3 With this approximation, d[X]/dt is only a function of X, so the expression can be integrated to give an expression for [X]: [X] = k1[A0]/!(exp(!t) - 1) The critical parameter is ! in the exponential. If we examine the values, we can divide the behavior into di"erent regimes.
  • 15. Case: ! < 0 Case 1: φ < 0 k3 > (m − 1)k2 [A]0 Termination stronger k1 [A]0 [X] → φ Reaches stable value Looking at the value of !, the behavior of the system can be analyzed through the behavior of [X] as t approaches infinity. If ! is less than 0, the termination reaction, k3, is larger than the branching. This means that the system will reach a stable value.
  • 16. Case: ! > 0 Case 2: φ > 0 k3 < (m − 1)k2 [A]0 Branching stronger [X] → inf grows without limit, explodes In the case of ! > 0, the termination reactions are slower, the branching reactions dominate, so the value of [X] grows without limit. The system explodes.
  • 17. Case: ! = 0 Case 3: φ = 0 k3 = (m − 1)k2 [A]0 Branching and Termination balanced [X] = k1 [A] linear growth In the case of ! = 0, the branching and termination reactions are balanced and [X] has linear growth of [X] = k1[A].
  • 18. Isothermal Chain Branching !!%!# !!$!# [X] !!"!# time This is a graph of the behavior of [X] versus time of the the three cases represented by ! = (m-1)k_2[A0]-k3, where ! gives the relationship between branching reaction, in the term (m-1)k2[A0] and the termination reaction, in the term k3. So in this case, at constant temperature conditions, it is purely the species X which determines the explosion. In a typical combustion reaction, actually it is a combination of both which produces the autocatalytic e"ect. In fact, they enhance can each other. As the temperature goes up, the rates of reactions increase, increasing the number of radicals in the system.
  • 19. Ignition Process: Time Scale Very fast Equilibrium Temperature Ignition Initiation time Unburnt Burn (Equilibrium) State State Approximation for high temperature processes The autocatalytic e!ect in a typical combustion ignition is very fast. The rise in temperature can be very steep. In higher temperature conditions, there is a slow rise in temperature for the initiation period and then when a certain threshold is reached, then there is a very rapid rise in temperature. Also in terms of time scales, one can almost view the process as a step function, where the species are either in the initial unburnt configuration or, assuming ignition occurred, in the burnt configuration.