Autoignition in Turbulent Flows Christos Nicolaos Markides and Epaminondas Mastorakos

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Autoignition in Turbulent Autoignition in Turbulent Flows Flows Christos Nicolaos Markides and Epaminondas Christos Nicolaos Markides and Epaminondas Mastorakos Mastorakos The effect of turbulence on the autoignition of inhomogeneous mixtures is of fundamental importance in turbulent reacting flows and of practical relevance in diesel, HCCI engines and LPP gas turbines, the development all of which critically depends on the ability of the designer to accurately predict the progress of the slow chemistry of autoignition. Aiming to accurately predict and control the occurrence of the phenomenon of autoignition in a turbulent flow field we realise that progress in this topic has come mostly from (as yet experimentally not validated ) DNS studies. Generally, experimental work is limited and so we: — Have undertaken a new experimental investigation approach in order to understand the fundamental underlying physics of the coupling between turbulent mixing and the chemistry of autoignition down to the smallest relevant length and time scales — Investigate the topological manifestation and the dependencies of the genesis of autoignition We choose an axi-symmetric co-flow non-premixed configuration which: — Is a novel approach for the demonstration of autoignition phenomena — Provides direct measurements of autoignition lengths and associated times , which are intuitive quantities that have direct practical application and significance at conditions and in a configuration similar to that found in the premix duct of gas turbines — Is very appropriate for the investigation of ‘mixing effects Apparatus Characterization Typical Results Hydrogen Visual observations of autoignition spots similar to those documented in the digital Image Sequences 1 and 2, reveal three distinct ‘behaviour regimes’. At lower temperatures or high velocities no autoignition is observed and we refer to this as ‘NOTHING’. At higher temperatures and lower velocities we have autoignition and subsequent ‘FLASHBACK’ (this is precisely what is shown in the 13.5 kHz Image Sequence 1). In between, a statistically-stable regime exists, where autoignition occurs at random locations/spots that seem not to act as flame anchoring points, but rather as short lived autoignition kernels that are advected downstream and die/quench (like in the 40.5 kHz Image Sequence 2). The kernels exhibit a number of interesting structural/behavioural characteristics, the most important of which are illustrated in the images. In the stable regimes, many individual snapshots of both hydrogen (above right – OH chemiluminescence) and acetylene (above left – visible light) autoignition spots are taken. For hydrogen they can be used to compile PDFs of the autoignition location (above far right). Autoignition lengths can be defined at the ‘earliest’ location or in terms of the integral (mean) of the PDF and associated autoignition times by residence calculations based on the fuel jet velocity decay in the centreline of the co-flowing air. Streamwise intensity profiles (above centre), show that the PDF of autoignition for high temperature autoignition is very steep with a long tail, while for lower temperatures it is broader and shifts downstream. It is the steep nature, in both cases, of the ‘anchored’ rise points of the PDF that allows a rigorous definition of the ‘earliest’ autoignition location. Typical mean hydrogen results are shown in Figure 2. The effect of the jet velocity is successfully collapsed for each background air velocity. Acetylene autoignition spot images can only be used to define an ‘earliest’ autoignition location, since the signal is contaminated by the downstream of soot (above left). Typical ‘earliest’ global results for acetylene are shown in Figure 3. As far as the location of autoignition is concerned, for a given air velocity and temperature, autoignition is always delayed by an increased jet velocity. This delay may be augmented by decreasing the temperature and/or increasing the velocity of the air. Injector Injector Typical High Speed Sequences (autoignition kernels at characteristic lengths and times) Experimental Configuration Fuel Decomposition Protective Quartz Sheath Grid Turbulence Generator Air Mixer Autoignition Insulation and Sealant Cold Injection Jet Spot Injection Location Quartz Pipe Injector Alignment Mechanism Hot Co-flow Air from Heaters Fuel/Nitrogen Mixture at Ambient Conditions Acetylene spot initiation , double flame front propagation and ‘anchoring (no advection). Then, triple flame structure formation and Flashback (upstream propagation) to form a diffusion flame. Real time consecutive sequence of eventual Flashback at 13.5 kHz; interval between frames 74.1 μs. Injector Autoigniti on Length Autoignition kernels : Double flame front propagation and quenching . Sequence close-up at 40.5 kHz; interval between frames 24.7 μs. Introduction and Goals The experiment involves a co-flow of hot air in to which a we inject a diluted mixture of fuel (hydrogen and acetylene) with nitrogen (see Figure 1 and Image Sequences 1 and 2). An effort is made to have well characterized operating conditions , both in fluid- mechanical and in chemical terms, because the gathered data will be used as a new database for the validation of models , which require accurately defined boundary and initial conditions. To this effect we have obtained measurements (in cold and hot conditions where possible) of: — Mean temperature and velocity fields — Background Turbulence (including Integral Length Scale and Power Spectra) fields — Mean Mixture Fraction fields The data reveals that: — The input radial profiles (at the cross-section of injection) of velocity and temperature (in the mean and fluctuations ) can be safely assumed to be uniform for approx. 80% of the radius The resulting mixing patterns are (in the mean) similar in nature to those expected from the plumes in homogeneous turbulence. The flow has a significant turbulence intensity (~ 10%) and a turbulent length scale of ~5 mm 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 5 10 15 20 25 30 35 ‘FLASHBACK’ Regime ‘NOTHING’ Regime Injection to Co-flow Velocity Ratio, U jet /U air (-) Minimum Acetylene Autoignition Length (mm) Effect of increasing co-flow air velocity : Each trend-line colour group represents data for a particular air velocity. Dashed lines are for higher air inlet temperatures. ‘STABLE SPOTTING’ Regime Acetylene Conclusions It is possible to demonstrate a variety of autoignition phenomena in a non-premixed co-flow configuration, that can be classified as belonging to one of three regimes: ‘Nothing’, ‘Stable’ and ‘Flashback’. There seems to be a significant “effect of turbulence” within this explored data range, but our understanding of how turbulence affects autoignition still needs to be improved. The experiment can provide well documented, repeatable and well characterized data and can thus be a benchmark experiment for validation of models. It is relatively straight-forward to give direct, practically-relevant information on autoignition lengths/locations and times in the presence of intense turbulence and mixture inhomogeneities with geometry Figure – 1 – Image Sequence – 1 – (below) and – 2 – (above) Flow direction vertically upwards PDF of ‘B’ in Figure 2 PDF of ‘A’ in Figure 2 OH snapshots of ‘A’ (left) and ‘B’ (right) in Figure 2 0.1 1 10 1.04 1.05 1.06 1.07 1.08 1.09 1000/T (1/K ) M ean H ydrogen R esidence A utoignition T im e (m s) . Effect of increasing co-flow air velocity : Each trend-line colour group contains data for various jet velocities but a single air velocity. ‘FLASHBACK’ Regime ‘NOTHING’ Regime ‘STABLE SPOTTING’ Regime Data Point ‘A’ Data Point ‘B’ Figure – 2 – Typical PDF Flow direction Figure – 3 – Earliest Mean

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35. Effect of increasing co-flow air velocity : Each trend-line colour group represents data for a particular air velocity. Dashed lines are for higher air inlet temperatures. ‘NOTHING’ Regime. 30. Effect of increasing co-flow air velocity : - PowerPoint PPT Presentation

Transcript of Autoignition in Turbulent Flows Christos Nicolaos Markides and Epaminondas Mastorakos

Page 1: Autoignition in Turbulent Flows Christos Nicolaos Markides and Epaminondas Mastorakos

Autoignition in Turbulent Autoignition in Turbulent FlowsFlows

Christos Nicolaos Markides and Epaminondas Christos Nicolaos Markides and Epaminondas MastorakosMastorakos

The effect of turbulence on the autoignition of inhomogeneous mixtures is of fundamental importance in turbulent reacting flows and of practical relevance in diesel, HCCI engines and LPP gas turbines, the development all of which critically depends on the ability of the designer to accurately predict the progress of the slow chemistry of autoignition.

Aiming to accurately predict and control the occurrence of the phenomenon of autoignition in a turbulent flow field we realise that progress in this topic has come mostly from (as yet experimentally not validated) DNS studies. Generally, experimental work is limited and so we:— Have undertaken a new experimental investigation approach in order to

understand the fundamental underlying physics of the coupling between turbulent mixing and the chemistry of autoignition down to the smallest relevant length and time scales

— Investigate the topological manifestation and the dependencies of the genesis of autoignition

We choose an axi-symmetric co-flow non-premixed configuration which:— Is a novel approach for the demonstration of autoignition phenomena— Provides direct measurements of autoignition lengths and associated times,

which are intuitive quantities that have direct practical application and significance at conditions and in a configuration similar to that found in the premix duct of gas turbines

— Is very appropriate for the investigation of ‘mixing effects’

Apparatus Characterization

Typical Results

Hydrogen

Visual observations of autoignition spots similar to those documented in the digital Image Sequences 1 and 2, reveal three distinct ‘behaviour regimes’. At lower temperatures or high velocities no autoignition is observed and we refer to this as ‘NOTHING’. At higher temperatures and lower velocities we have autoignition and subsequent ‘FLASHBACK’ (this is precisely what is shown in the 13.5 kHz Image Sequence 1). In between, a statistically-stable regime exists, where autoignition occurs at random locations/spots that seem not to act as flame anchoring points, but rather as short lived autoignition kernels that are advected downstream and die/quench (like in the 40.5 kHz Image Sequence 2). The kernels exhibit a number of interesting structural/behavioural characteristics, the most important of which are illustrated in the images. In the stable regimes, many individual snapshots of both hydrogen (above right – OH chemiluminescence) and acetylene (above left – visible light) autoignition spots are taken.

For hydrogen they can be used to compile PDFs of the autoignition location (above far right). Autoignition lengths can be defined at the ‘earliest’ location or in terms of the integral (mean) of the PDF and associated autoignition times by residence calculations based on the fuel jet velocity decay in the centreline of the co-flowing air. Streamwise intensity profiles (above centre), show that the PDF of autoignition for high temperature autoignition is very steep with a long tail, while for lower temperatures it is broader and shifts downstream. It is the steep nature, in both cases, of the ‘anchored’ rise points of the PDF that allows a rigorous definition of the ‘earliest’ autoignition location. Typical mean hydrogen results are shown in Figure 2. The effect of the jet velocity is successfully collapsed for each background air velocity.

Acetylene autoignition spot images can only be used to define an ‘earliest’ autoignition location, since the signal is contaminated by the downstream of soot (above left). Typical ‘earliest’ global results for acetylene are shown in Figure 3. As far as the location of autoignition is concerned, for a given air velocity and temperature, autoignition is always delayed by an increased jet velocity. This delay may be augmented by decreasing the temperature and/or increasing the velocity of the air.

Injector

Injector

Typical High Speed Sequences

(autoignition kernels at characteristic lengths and times)

Experimental Configuration

Fuel DecompositionProtective Quartz

Sheath

Grid TurbulenceGenerator

Air Mixer

Autoignition

Insulationand Sealant

Cold Injection Jet

Spot

Injection Location

Quartz Pipe

Injector AlignmentMechanism

Hot Co-flowAir from Heaters

Fuel/Nitrogen Mixtureat Ambient

Conditions

Acetylene spot initiation, double flame front propagation and ‘anchoring’ (no advection). Then,

triple flame structure formation and Flashback (upstream propagation) to form a diffusion flame.

Real time consecutive sequence of eventual Flashback at 13.5 kHz; interval between frames 74.1 μs.

Injector

AutoignitionLength Autoignition kernels: Double flame front propagation

and quenching. Sequence close-up at 40.5 kHz; interval between frames 24.7 μs.

Introduction and Goals

The experiment involves a co-flow of hot air in to which a we inject a diluted mixture of fuel (hydrogen and acetylene) with nitrogen (see Figure 1 and Image Sequences 1 and 2).

An effort is made to have well characterized operating conditions, both in fluid-mechanical and in chemical terms, because the gathered data will be used as a new database for the validation of models, which require accurately defined boundary and initial conditions.

To this effect we have obtained measurements (in cold and hot conditions where possible) of:— Mean temperature and velocity fields— Background Turbulence (including Integral Length Scale and Power Spectra) fields— Mean Mixture Fraction fields

The data reveals that: — The input radial profiles (at the cross-section of injection) of velocity and temperature (in the mean and fluctuations) can be safely assumed to be uniform for approx. 80% of the radius — The resulting mixing patterns are (in the mean) similar in nature to those expected from the plumes in homogeneous turbulence. — The flow has a significant turbulence intensity (~ 10%) and a turbulent length scale of ~5 mm

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

5

10

15

20

25

30

35

‘FLASHBACK’ Regime

‘NOTHING’ Regime

Injection to Co-flow Velocity Ratio, Ujet/Uair (-)

Min

imu

m A

cety

len

e A

uto

ign

itio

n L

en

gth

(m

m)

Effect of increasing co-flow air velocity:

Each trend-line colour group represents data for a particular air velocity.

Dashed lines are for higher air inlet temperatures.

‘STABLE SPOTTING’ Regime

Acetylene

Conclusions

It is possible to demonstrate a variety of autoignition phenomena in a non-premixed co-flow configuration, that can be classified as belonging to one of three regimes: ‘Nothing’, ‘Stable’ and ‘Flashback’.

There seems to be a significant “effect of turbulence” within this explored data range, but our understanding of how turbulence affects autoignition still needs to be improved.

The experiment can provide well documented, repeatable and well characterized data and can thus be a benchmark experiment for validation of models. It is relatively straight-forward to give direct, practically-relevant information on autoignition lengths/locations and times in the presence of intense

turbulence and mixture inhomogeneities with geometry exactly similar to that found within the premix ducts of LPP turbines, but more importantly to differentiate between the ensemble-mean behaviour and the possibility of rare, ‘earlier’ autoignition events.

Figure – 1 –

Image Sequence – 1 – (below) and – 2 – (above)

Flow direction vertically upwards

PDF of ‘B’ inFigure 2

PDF of ‘A’ inFigure 2

OH snapshots of ‘A’ (left) and‘B’ (right) in Figure 2

0.1

1

10

1.04 1.05 1.06 1.07 1.08 1.091000/T (1/K)

Mea

n H

ydro

gen

Res

iden

ce A

utoi

gnitio

n T

ime

(ms)

.

Effect of increasing co-flow air velocity:

Each trend-line colour group contains data for various jet velocities but a single air velocity.

‘FLASHBACK’ Regime

‘NOTHING’ Regime

‘STABLE SPOTTING’ Regime

Data Point ‘A’Data Point ‘B’

Figure – 2 –

Typical PDF

Flow direction

Figure – 3 –

Earliest

Mean