๐ฅAdvanced Combustion Technologies Unit 4 โ Laminar and Turbulent Flames
Laminar and turbulent flames are fundamental concepts in combustion science. These two types of flames differ in their flow characteristics, mixing behavior, and overall combustion dynamics. Understanding their properties is crucial for designing efficient and clean-burning combustion systems.
Laminar flames have smooth, ordered flow with minimal mixing between layers. Turbulent flames, on the other hand, feature chaotic flow with enhanced mixing. This difference impacts flame speed, thickness, and stability, influencing combustion efficiency and pollutant formation in practical applications.
Combustion is a complex chemical reaction involving fuel, oxidizer (typically air), and heat that produces energy in the form of heat and light
Requires three essential components: fuel, oxidizer, and an ignition source (fire triangle) to initiate and sustain the reaction
Governed by the principles of thermodynamics, fluid mechanics, and chemical kinetics which influence the rate, efficiency, and emissions of the combustion process
Involves a series of elementary reactions that form a chain reaction, including initiation, propagation, branching, and termination steps
Classified into different modes such as premixed combustion (fuel and oxidizer are mixed before ignition) and non-premixed or diffusion combustion (fuel and oxidizer are initially separate)
Premixed combustion examples include spark-ignition engines and gas stoves
Non-premixed combustion examples include diesel engines and candles
Combustion efficiency depends on factors such as fuel-air ratio, temperature, pressure, and mixing quality which affect the completeness of the reaction and the formation of pollutants
Products of complete combustion include carbon dioxide (CO2), water vapor (H2O), and heat, while incomplete combustion can generate carbon monoxide (CO), unburned hydrocarbons (UHC), and particulate matter (PM)
Types of Flames: Laminar vs. Turbulent
Flames can be classified as either laminar or turbulent based on the flow characteristics of the reactants and the nature of the combustion process
Laminar flames exhibit smooth, ordered flow with parallel streamlines and minimal mixing between adjacent fluid layers
Characterized by low Reynolds numbers (Re < 2300) indicating the dominance of viscous forces over inertial forces
Examples include candle flames, Bunsen burner flames, and some industrial burners
Turbulent flames feature chaotic, fluctuating flow with enhanced mixing and transport of heat and mass due to the presence of eddies and vortices
Associated with high Reynolds numbers (Re > 4000) signifying the dominance of inertial forces and the onset of turbulence
Most practical combustion systems such as engines, gas turbines, and furnaces involve turbulent flames
Transition from laminar to turbulent flames occurs at intermediate Reynolds numbers (2300 < Re < 4000) and is influenced by factors such as geometry, flow velocity, and fluid properties
Turbulent flames exhibit higher burning rates, increased flame surface area, and improved mixing compared to laminar flames, leading to more intense combustion and shorter flame lengths
Understanding the differences between laminar and turbulent flames is crucial for designing efficient combustion systems and controlling pollutant formation
Laminar Flame Structure and Propagation
Laminar flames consist of distinct regions: preheat zone, reaction zone, and post-flame zone, each with specific temperature and species concentration profiles
Preheat zone is where the unburned reactants are heated by thermal conduction and radiation from the reaction zone, initiating chemical reactions
Temperature rises from the initial value to the ignition temperature, typically around 1000 K for hydrocarbon fuels
Reaction zone is a thin region where most of the chemical reactions and heat release occur, characterized by high temperature gradients and radical concentrations
Reactions are governed by the Arrhenius equation, k=Aexp(โEaโ/RT), relating the reaction rate constant k to the activation energy Eaโ, pre-exponential factor A, and temperature T
Post-flame zone is where the combustion products cool down and reach equilibrium, with minimal chemical reactions taking place
Laminar flame speed SLโ is a fundamental property that quantifies the rate at which the flame propagates into the unburned mixture
Depends on fuel type, equivalence ratio ฯ, pressure, and temperature
Typically ranges from 20 to 80 cm/s for hydrocarbon-air mixtures at atmospheric conditions
Laminar flame thickness ฮดLโ characterizes the distance over which the temperature and species concentrations change from their unburned to burned values
Estimated using the thermal diffusivity ฮฑ and laminar flame speed as ฮดLโโฮฑ/SLโ, yielding values on the order of 0.1 to 1 mm for most fuels
Turbulent Flame Characteristics
Turbulent flames are characterized by the interaction between the turbulent flow field and the chemical reactions, leading to a complex and unsteady flame structure
Turbulence enhances mixing and transport processes, increasing the effective diffusivity and resulting in higher burning rates compared to laminar flames
Turbulent flame speed STโ is an important parameter that describes the overall propagation rate of the turbulent flame and depends on the laminar flame speed SLโ and the turbulence intensity uโฒ
Correlations such as STโ/SLโ=1+C(uโฒ/SLโ)n are used to estimate STโ, where C and n are empirical constants
Turbulent flame thickness ฮดTโ is larger than the laminar flame thickness due to the broadening effect of turbulent eddies and can be several times the laminar value
Turbulent flames exhibit a range of length scales, from the integral length scale l0โ (largest eddies) to the Kolmogorov length scale ฮท (smallest eddies), which affect the flame structure and combustion regime
Damkรถhler number Da=ฯtโ/ฯcโ compares the turbulent time scale ฯtโ to the chemical time scale ฯcโ and determines the relative importance of turbulence and chemistry
For Daโซ1, chemistry is fast relative to turbulence, and the flame is wrinkled or corrugated by the turbulent eddies
For Daโช1, turbulence is fast relative to chemistry, leading to a distributed reaction zone and potential local extinction
Karlovitz number Ka=ฯcโ/ฯฮทโ relates the chemical time scale to the Kolmogorov time scale ฯฮทโ and characterizes the flame stretch and the potential for flame quenching
For Ka<1, the flame is weakly stretched and maintains its laminar structure
For Ka>1, the flame is highly stretched and can experience local extinction and reignition events
Flame Stability and Extinction
Flame stability refers to the ability of a flame to maintain its position and structure in the presence of perturbations such as flow fluctuations, heat losses, and compositional variations
Stable flames are characterized by a balance between the flame propagation speed and the local flow velocity, ensuring that the flame remains anchored at a fixed location (e.g., burner rim or recirculation zone)
Unstable flames may exhibit phenomena such as flame lift-off (detachment from the burner), blow-off (complete extinction), or flashback (upstream propagation into the burner)
Extinction occurs when the heat loss from the flame exceeds the heat generation by chemical reactions, leading to a decrease in temperature and eventual quenching of the flame
Stretch-induced extinction is a common mechanism in turbulent flames, where the flame experiences high strain rates or curvature that enhance heat and radical losses
Characterized by the Karlovitz number Ka, with extinction occurring for Ka>Kaextโ, where Kaextโ is a critical value depending on the fuel and mixture properties
Dilution-induced extinction happens when the addition of inert species (e.g., nitrogen or combustion products) to the reactants reduces the flame temperature below a critical value, inhibiting sustained combustion
Heat loss-induced extinction is caused by the presence of cold surfaces or regions that act as heat sinks, leading to local flame quenching and potential global extinction
Stability limits are often represented using diagrams such as the equivalence ratio vs. flow velocity plot, which delineates the regions of stable, unstable, and extinct flames for a given burner configuration
Strategies for enhancing flame stability include the use of pilot flames, swirl-stabilized burners, bluff-body stabilizers, and staged combustion techniques that create recirculation zones and promote mixing
Modeling and Simulation Techniques
Modeling and simulation play a crucial role in understanding, predicting, and optimizing combustion processes, complementing experimental investigations
Computational Fluid Dynamics (CFD) is widely used to simulate turbulent reacting flows by solving the governing equations for mass, momentum, energy, and species transport
Reynolds-Averaged Navier-Stokes (RANS) methods solve for the mean flow quantities and model the effects of turbulence using closure models such as kโฮต or kโฯ
Large Eddy Simulation (LES) resolves the large-scale turbulent motions and models the small-scale eddies using subgrid-scale (SGS) models
Direct Numerical Simulation (DNS) resolves all the relevant length and time scales without any turbulence modeling but is computationally expensive and limited to simple geometries and low Reynolds numbers
Chemical kinetics modeling involves the development and use of detailed or reduced reaction mechanisms that describe the elementary steps and species involved in the combustion process
Detailed mechanisms can include hundreds of species and thousands of reactions, while reduced mechanisms seek to simplify the chemistry using techniques such as quasi-steady-state approximations (QSSA) or rate-controlled constrained equilibrium (RCCE)
Turbulence-chemistry interaction (TCI) models are required to account for the subgrid-scale mixing and reaction processes in turbulent flames
Eddy Dissipation Concept (EDC) assumes that reactions occur in fine-scale structures and models the reaction rate based on the turbulent mixing time scale
Flamelet models assume that the turbulent flame can be represented as an ensemble of laminar flamelets and use pre-computed flamelet libraries to determine the local flame structure and properties
Radiation modeling is important for accurate predictions of heat transfer and pollutant formation in combustion systems
Discrete Ordinates Method (DOM) solves the radiative transfer equation (RTE) for a finite number of discrete directions and is suitable for participating media
Monte Carlo methods simulate the emission, absorption, and scattering of photons using random sampling techniques and are computationally expensive but accurate
Soot modeling is challenging due to the complex formation, growth, and oxidation processes involved
Two-equation models solve for the soot mass fraction and number density using empirical source terms for nucleation, surface growth, and oxidation
Sectional methods discretize the soot particle size distribution into a finite number of sections and solve for the evolution of each section
Stochastic methods such as the Method of Moments with Interpolative Closure (MOMIC) track the statistical moments of the soot particle population and provide a more detailed description of the size distribution
Experimental Methods and Diagnostics
Experimental investigations are essential for understanding combustion phenomena, validating numerical models, and developing new combustion technologies
Flame visualization techniques provide qualitative and quantitative information about the flame structure, shape, and dynamics
Schlieren imaging utilizes the variation in refractive index due to density gradients to visualize the flame front and flow field
Shadowgraphy captures the shadow cast by density gradients and is sensitive to the second derivative of the refractive index
Chemiluminescence imaging detects the natural light emission from excited species (e.g., CH*, OH*, C2*) and provides a measure of the heat release rate and flame location
Laser-based diagnostics offer non-intrusive, high-resolution measurements of temperature, species concentrations, and velocity fields in combustion systems
Laser-Induced Fluorescence (LIF) uses a laser to excite specific species (e.g., OH, CH, NO) and measures the resulting fluorescence signal, providing spatially resolved concentration measurements
Raman scattering spectroscopy detects the inelastic scattering of laser light by molecules and allows for the simultaneous measurement of temperature and major species concentrations
Coherent Anti-Stokes Raman Scattering (CARS) is a nonlinear optical technique that provides high-resolution temperature and species measurements in harsh environments
Particle Image Velocimetry (PIV) uses laser sheet illumination and cross-correlation of particle images to determine the instantaneous velocity field in a plane
Probe-based techniques involve the insertion of physical probes into the combustion chamber to sample or measure local properties
Thermocouples measure the local gas temperature using the Seebeck effect and are widely used for temperature mapping and validation of numerical models
Gas sampling probes extract a small amount of the combustion gases for analysis using techniques such as gas chromatography (GC) or mass spectrometry (MS) to determine the species concentrations
Hot-wire anemometry measures the local flow velocity by sensing the heat transfer from a thin, electrically heated wire and is suitable for high-frequency velocity fluctuations
Advanced optical diagnostics combine multiple techniques to provide comprehensive measurements of the combustion process
Rayleigh scattering, Raman scattering, and LIF can be used simultaneously to measure the temperature, major species, and minor species concentrations in a single laser shot
High-speed laser diagnostics enable the study of transient and unsteady combustion phenomena with temporal resolutions on the order of microseconds to milliseconds
Experimental data analysis and post-processing are crucial for extracting meaningful information from the raw measurements
Statistical methods such as Reynolds decomposition, probability density functions (PDFs), and correlations are used to characterize the turbulent flame structure and dynamics
Proper Orthogonal Decomposition (POD) identifies the dominant modes of variation in the data and can be used for data compression and reduced-order modeling
Machine learning techniques such as artificial neural networks (ANNs) and support vector machines (SVMs) are increasingly used for pattern recognition, data classification, and model development based on experimental data
Applications in Combustion Systems
Combustion technologies find widespread applications in various sectors, including transportation, power generation, industrial processes, and residential heating
Internal combustion engines (ICEs) are the primary power source for vehicles and rely on the controlled combustion of fossil fuels (e.g., gasoline, diesel) to generate mechanical work
Spark-ignition (SI) engines use a spark plug to initiate combustion of a premixed fuel-air charge and are commonly used in gasoline-powered vehicles
Compression-ignition (CI) engines rely on the autoignition of the fuel-air mixture due to high compression ratios and are used in diesel-powered vehicles and heavy-duty applications
Advanced combustion strategies such as homogeneous charge compression ignition (HCCI), reactivity controlled compression ignition (RCCI), and partially premixed combustion (PPC) aim to combine the benefits of SI and CI engines in terms of efficiency and emissions
Gas turbines are widely used for power generation and propulsion applications, utilizing the Brayton cycle to convert the energy from combustion into mechanical or electrical power
Stationary gas turbines operate at a fixed speed and are used for baseload and peak power generation, as well as combined heat and power (CHP) applications
Aircraft gas turbines (jet engines) provide propulsive power by accelerating the combustion products through a nozzle and are designed for high power density and reliability
Lean premixed combustion is commonly employed in modern gas turbines to reduce NOx emissions by operating at lower flame temperatures and avoiding local hot spots
Boilers and furnaces are used for industrial process heating, steam generation, and space heating applications, utilizing the heat released from combustion to raise the temperature of a working fluid or material
Fluidized bed combustion (FBC) systems suspend the solid fuel particles in an upward flow of air, providing efficient mixing and heat transfer while allowing for the use of low-grade fuels and sorbents for pollutant control
Oxy-fuel combustion replaces the air with a mixture of oxygen and recycled flue gases, enabling higher flame temperatures and CO2 capture for carbon sequestration or utilization
Renewable and alternative fuels are increasingly being used to reduce the environmental impact of combustion and mitigate climate change
Biofuels such as ethanol, biodiesel, and biogas are derived from biomass sources and can be used as drop-in replacements or blends with conventional fossil fuels