1. Introduction
Combustion chambers transform fuel’s chemical energy into thermal energy. Part of the thermal energy is transformed into mechanical work in the turbine to move the compressor and fan. The nozzle converts some remaining energy into kinetic energy, producing the necessary thrust to move the aircraft. Combustors are classified as can, annular, mixed, or can-annular and reverse flow. The desired properties for any combustion chamber are as follows [
1]: complete combustion, moderate total pressure loss, stability of combustion (freedom from flameout), in-flight relight ability, proper temperature distribution at exit (no hot spots), a short length and small cross-section, wide operating range of mass flows, pressures, and temperatures, as well as work according to the required environmental limits of air pollutants.
Lefebvre and Ballal (2010) [
2] summarized several criteria essential for the optimal performance of a combustion chamber. These include achieving high combustion efficiency, ensuring reliable and smooth ignition under various conditions, maintaining wide stability limits to sustain flame presence across different pressure and air/fuel ratio ranges, minimizing pressure loss, tailoring outlet temperature distribution to maximize the lifespan of turbine blades and nozzle guide vanes, reducing emissions of smoke and gaseous pollutants, preventing combustion-induced instability such as pressure pulsations, and ensuring compatibility with engine envelope in terms of size and shape. Additionally, the design should prioritize cost-effectiveness, ease of manufacturing, maintainability, durability, and the capability to utilize various fuel sources including petroleum, methane, LNG, synthetic, and biomass-based fuels.
However, even when the criteria or characteristics that the combustion chambers must meet are established, as well as an elementary structure, which consists of an inlet diffuser, fuel injector, vortex generator, and three combustion zones, primary, secondary, and dilution, and even many authors propose some standard basic methodology, there is no precise methodology for the design of annular combustion chambers, because although in recent years, multiple investigations have been developed regarding combustion chambers. Much of this research is limited to the experimental prototypes they have. Others are small in size or have a low derivation rate, which limits their applicability in the industry [
3]. In the same way, Mark and Selwyn (2016) [
4] numerically simulated a combustion chamber by means of Siemens NX-8.0 modeling software. The aerodynamics flow was simulated by means of the ANSYS 14.5 software suite. They simplified the model to obtain quicker results due to computational limitations and analyzed a 20° cut section for easiness. The combustor resulted to be shorter than other combustors, achieving a 96% efficiency based on the designing point combustor exit temperature.
On the other hand, Worth and Dawson (2013) [
3] conducted experimental and modal dynamic analyses on an annular combustion chamber to examine the time amplitude and its correlation with the overall heat release rate in a basic annular combustion chamber setup. The combustion chamber comprised 12, 15, or 18 premixed bluff-body flames equally spaced around a fixed circumference. Numerical findings revealed the presence of two acoustic waves with time-varying amplitudes traveling in opposite directions, highlighting a statistical prevalence consistent with findings documented in existing literature. Livebardon et al. (2015) [
5] presented a numerical study aiming to predict combustion noise levels in a real turboshaft engine. Their findings regarding both indirect and direct combustion noise levels align reasonably well with theoretical predictions and experimental observations reported in the literature.
In addition, different authors have applied the Large Eddy Simulation (LES) to analyze the behavior of annular combustion chambers. Wolf et al. (2012) [
6] used LES to predict azimuthal modes and instabilities of annular combustion chambers based on an adequate grid and time of simulation, finding good results compared to those reported in the literature. Meloni et al. (2019) [
7] developed an analysis in an annular combustion chamber using LES to predict the performance of these elements in stable operating conditions. These results indicate that this approach is currently used for the design phase, while further validation is ongoing to include different geometries and operating conditions to reduce risks and the number of tests. It is important to mention that many of the desired characteristics in a combustion chamber conflict, making it difficult to find a balance between them. These characteristics are complemented by what is established by Khandelwal B. (2019) [
8], who indicated that a good design of the combustion chamber is based on the satisfaction of the basic principles of the combustion process; that is, a proper mixture ratio and the three “Ts” of good combustion (temperature of the reactants, turbulence for good mixing and time for mixing and combustion to go to completion). These fundamentals should be achieved with minimal pressure loss along the combustion chamber.
Fu et al. (2020) [
9] evaluated the flow and heat transfer performance of a large annular combustion chamber in a heavy-duty gas turbine using numerical computations, examining the effects of inlet swirling strength, fuel-air ratio, and premixed gas temperature on velocity, temperature, and pressure fields. The research highlights how these factors influence synergy between velocity and temperature, impacting overall combustion efficiency and heat transfer capabilities. Zahra et al. (2021) [
10] developed a design and computational analysis of an annular combustion chamber for a turbojet engine producing 1650 N of thrust with kerosene fuel. Using Computational Fluid Dynamics (CFDs) based on RANS simulation, the research evaluates dimensions, air distribution, pressure drop, and aerodynamics. It employs the RNG turbulent model and finite rate/eddy dissipation combustion model for three-dimensional simulations. Experimental and numerical comparisons show temperature uniformity at the chamber outlet, which is essential for optimizing engine performance. Balijepalli et al. (2022) [
11] discussed the challenges and optimizations involved in reducing the liner length in the gas turbine engine’s combustion chamber, focusing on how this reduction affects the maximum outlet temperature and potential damage to turbine blades. The study utilizes Ansys software for designing and analyzing the combustion chamber, optimizing the pattern factor, and achieving the desired outlet temperature profile.
Jagadish et al. (2023) [
12] explored a combustion chamber design using a combination of theoretical and empirical methods, acknowledging its inherent complexity. Three-dimensional simulations investigate velocity profiles, species concentration, and temperature distribution with methane (CH
4) as fuel. The SST turbulence model, applied in non-orthogonal curvilinear coordinates with second-order accurate discretization, facilitates iterative solutions. ANSYS CFX 12 is utilized to analyze flow patterns within the combustion chamber and air entry openings, aiming to achieve a balanced understanding of intricate physical and chemical interactions. Chang et al. (2024) [
13] designed a new combustion chamber featuring a double-stage counter-rotating swirler with vane angles set at 45°, investigating turbulent mixing enhancement through a combination of 2D-PIV experiments and Reynolds averaged numerical simulation (RANS). Various turbulence models were evaluated against experimental data, with the RNG k-ε model showing superior performance in predicting velocity distribution, recirculation zone length, and vorticity distribution. It was subsequently employed to analyze the influence of Reynolds number (Re) on flow characteristics across seven Re values ranging from 5425 to 54,245. Results indicate that higher Re numbers strengthen flow patterns, affecting turbulence and boundary layer dynamics, with a notable observation around a critical Re value of 21,698 potentially influencing turbulent behavior and wall effects.
Aim of This Work
The aeronautical gas turbine design is under increased focus due to stricter regulations and the urgency to address soaring fuel costs. This pursuit of innovation has occasionally led to novel concepts susceptible to combustion instabilities. For the above reasons, this work presents a methodology to design an annular combustion chamber by collecting information from different sources and turning it into a detailed procedure developed in parallel to designing a combustion chamber for the operating conditions of a CFM-56 engine. The methodology used involves collecting information from various sources and transforming it into a detailed procedure for designing combustion chambers. Key aspects of this work include the following:
Combustion Models and Reactions: Utilizing advanced combustion models, including the κ-ε turbulence model and Flamelet combustion model, to predict the behavior and performance of the combustion chambers through rigorous CFD simulations using NUMECA software.
CFD Simulation and Case Setup: Conducting numerical simulations to evaluate the impact of different fuel injection angles and analyzing key parameters such as velocity, temperature, and pressure fields to optimize the design for enhanced performance.
Validation and Environmental Impact: Validating the simulation results against experimental data to ensure accuracy and reliability and assessing the environmental impact by analyzing emissions of pollutants like unburned hydrocarbons, nitrogen oxides, and carbon monoxide.
Finally, this research contributes to the field of combustion chamber design for aeronautical gas turbines by providing a structured approach that meets stringent performance criteria, enhances efficiency, and promotes environmental sustainability.
2. Materials and Methods
Annular combustion chambers are the most popular in modern aircraft due to their construction advantages. Like the other types, they mainly consist of a diffuser, liner, casing, and injection system, which are the main components to which the turbine inlet guide vanes and their respective assembly components can be added. The difference with the rest is that it is a single annular liner between two inner and outer casings and a larger number of injectors, from 12 to 20, depending on the engine size. They are the ideal type of combustion chamber since their clean aerodynamic layout results in a compact unit of lower pressure loss than other combustor types [
2]. Given its conditions, some other advantages that this type of chamber offers are higher performance and larger combustion volume per area of exposed metal, resulting in less weight and length.
As shown in
Figure 1, the combustion chamber zones are the inlet diffuser, primary, secondary, and dilution zones.
Combustion can be defined as an exothermic reaction of a fuel and an oxidant [
2]. For aircraft engines, liquid fuel is used, specifically kerosene, with air as the oxidant. The combustion regime through which the combustion chambers in a gas turbine operate is deflagration. This regime is developed at subsonic speeds and carried out by the heat transfer between molecules. The main characteristic of this regime is the presence of a flame, which can be defined as a rapid chemical change occurring in a very thin fluid layer, involving steep gradients of temperature and species concentrations and accompanied by luminescence [
2]. Macroscopically, the flame front can be viewed as an interface between the burned gases and the unburned mixture, in which the gases have a greater volume, temperature, and lower density than the mixture.
Aircraft engine emissions have become a major issue because of their impact on people’s health. The ICAO standards [
14] for the maximum mass fraction of each of the emissions during an LTO cycle are shown in
Table 1.
2.1. Procedure of Design
The combustion chamber must satisfy the requirements demanded by the industry, so special attention must be paid to the factors that influence the performance and operation of the engine. Some of these requirements could be mutually incompatible, so the designer must define the priorities according to the application.
Weight and size are always a priority for aircraft engines, so the design must focus on satisfying those requirements. A combustion chamber design requires initial values of thermodynamic, aerodynamic, geometric, and combustion properties that will be used as a starting point for the calculations. These values were determined based on the operating conditions of the CFM56-7B engine at maximum thrust (take-off condition), and on the level of technology established by Mattingly [
1].
Table 2 shows the values of the design parameters used.
Table 3 shows the thermodynamic constants values used:
2.2. Reference Dimensions
The first step is to calculate the reference area (A
ref), which is defined as the maximum cross-sectional area of the casing in the absence of a liner [
15], and with this data, calculate its height (h
ref). Equation (1) is used to calculate the reference area [
16]:
For an annular chamber, a pressure loss factor of 18 is recommended by [
16]. Once the area has been calculated, the height of the section (h
ref), is determined using Equation (2):
Equations (3) and (4) are used to calculate the area corresponding to the flame tube (A
ft) and its height (h
ft) [
16]:
The root and tip radii, at any cross-section, are calculated with the Equations (5) and (6) below:
2.3. Air Mass Flow Distribution
The air is divided between primary and secondary flow at the combustion chamber inlet. The first is the air used for combustion, while the second will be used to cool the liner walls and dilute the combustion products. The fuel characteristics are shown in
Table 4.
Considering values from
Table 4, the air amount for each section is calculated using Equation (7). In the primary zone, it is necessary to determine the oxygen
required for a stoichiometric mixture with the fuel [
17].
For the analysis, kerosene is free of contaminants, so ms = 0. With the amount of oxygen, the stoichiometric air mass flow
is calculated using Equation (8).
An optimum combustion chamber is required to obtain complete combustion. To achieve this, the amount of air to enter the primary zone for combustion must contain 10% excess air, then the primary air
is calculated as follows using Equation (9):
The air in the flame tube
is circa 75% of the primary air [
16], then it obtained Equation (10):
Once the amount of air entering the primary zone is defined, it is understood that the rest of the total air entering the DC will be secondary air
, as is follows in Equation (11):
Approximately half of the total mass flow at the combustor inlet will be used for flame tube cooling. The percentage can be estimated as follows in Equation (12):
Then the cooling air (
can be calculated using Equation (13):
On the other hand, the rest of the secondary mass flow will be that which will enter the flame tube through the dilution orifices, then Equation (14) appears:
2.4. Diffuser
This will consist of three different cross-sectional planes; the air inlet plane (plane 0, compressor outlet, and defined dimensions), the middle plane (plane 1, where the air is divided between primary and secondary), and the outlet plane (reference plane, inlet to the primary zone, defined dimensions). The compressor design criteria as the Diffuser Pressure Ratio (πd) equal to 0.98 and combustion velocity (VB) as 60 m/s.
In addition to the input data, the physical and geometrical properties in plane 1 are calculated using Equations (15)–(22) detailed in
Table 5:
The diffuser angle is obtained considering all the variables of Equation (23) obtained from [
18]:
Once the angle is obtained, the length from the combustor inlet to the snout, which divides the primary flow from the secondary flow, is calculated using Equation (24):
It is also possible to estimate the total length using Equation (25):
Snout area (A
s) and the height (h
s) are given by Equations (26) and (27):
Figure 2 shows schematically the previously described zones, considering all each variable calculated with the previously described equations. It is important to mention that airflow apportioning was obtained from [
4].
2.5. Combustor Lengths
Length of the primary zone and length of the secondary zone can be calculated using Equations (28) and (29).
On the other hand, the length of the dilution zone is important to consider the Temperature Traverse Quality (TTQ), whose value for an annular combustion chamber is close to 0.25 [
16]. With this value and the pressure loss factor, the corresponding equation is solved for x, the result of which is the ratio of dilution zone length to flame tube height
. The equations for the calculation of the Traverse Temperature Quality are shown in
Table 6 (Equations (30)–(33)):
Once the ratio of dilution zone length to flame tube height has been calculated, the length of the dilution zone is calculated using Equation (34):
2.6. Swirler
The swirler is designed based on Clemente, choosing a thin straight, vane axial swirler.
Table 7 shows the swirler design characteristics recommended by [
18].
2.7. Flame Tube Cooling
Film cooling through holes was used, and a Z-ring geometry was chosen because the efficiency is higher compared with other techniques and manufacturing costs are lower [
19]. In order to simplify the design, calculations are made based on the conditions for one injection section. The cooling air per section is calculated using Equation (35):
The number of cooling hole slots is calculated using Equation (36).
The distance between each cooling slot ranges between 40 and 80 mm, choosing 40 mm, due to the length of the combustor. The diameter of the cooling holes (D
cool) is set at 2.4 mm, a size commonly used in the industry. The area of each hole is calculated using Equation (37):
The air mass flow entering each cooling slot is different, choosing a 35/25/20/20 percent distribution of air for each slot, respectively. Then Equation (38) is used:
The area needed for the intake of that amount of air is calculated using Equation (39):
Finally, the number of cooling holes per section is calculated using Equation (40):
2.8. Dilution Holes
Two rows of dilution holes are considered, with 2/3 of the flow entering the first row and the remainder entering the second row. The flow entering each row is calculated using Equations (41) and (42).
The mass flow of the exhaust gases inside the flame tube is different in each section, so they are calculated using Equations (43) and (44):
In addition, the pressure delta across the flame tube needs to be calculated using Equation (45):
Notice that %ΔP
ft equal to 3%. Using the Cranfield Design Method [
2], calculations per row are performed using Equations (46)–(49).
Row 1: Hole effective diameter (d
j1). Notice that J is the momentum-flux ratio equal to 6.6.
Then, the number of holes for row 1:
Row 2: Hole effective diameter (d
j2):
Number of holes for row 2:
Since the holes are not parallel to the flow, a discharge coefficient (C
D) is required to determine their actual geometric diameter, resulting in Equation (50):
According to Lefebvre, the recommended discharge coefficient value for annular combustion chambers should be C
D = 0.6. However, the calculations have been completed, so we have enough measurements to design the camera, whose results obtained when designing it in CATIA-V5 software are shown in
Figure 3 and
Figure 4 [
20].
On the other hand, it is important to design the combustor without defects, as these might reduce the performance and represent a security risk [
17].
2.9. Analysis Section
An analysis section, consisting of an annular portion with an angle of 18°, including the swirler and the respective fuel injector, is chosen to simplify the analysis and decrease the computational cost (See
Figure 5). This section is exported to the CFD section in a compatible format.
2.10. Mesh Generation
NUMECA
TM Academic version was used to perform the analysis [
21]. The complexity of the geometry and the tools available in HEXPRESS
TM to control the software were given. The characterization of the domain and a preliminary mesh were performed in ANSYSTM 19.2 software, saving it in a format compatible with HEXPRESS
TM. The software generates a high-quality hexahedral grid through 5 defined steps as described below (see
Figure 6a):
- (1)
Importing the geometry;
- (2)
Generating an initial mesh;
- (3)
Adapting the mesh using flexible parameters, e.g., curvature and distance criteria allows high control over the distributions of grid points;
- (4)
Snaping and optimization and anisotropic refinement keep the overall cell count as low as possible;
- (5)
Inserting a viscous layer by the Euler mesh inflation method allows the insertion of high-quality viscous layers with a smooth transition.
This technique inserts layers of cells with a high aspect ratio for accurately solving the boundary layer. The technique is based on the successive subdivision of the cells close to the walls, having a higher robustness and meshing speed than other techniques. The main parameter for consideration in the insertion of the viscous layer is y1+, a non-dimensional value related to the viscous layer that should be 30 < y1+ < 50.
The result was a hexahedral unstructured mesh with approximately 7M cells, a boundary layer on the surfaces of interest and high quality. Notice that the mesh satisfied the criterion mentioned about the y
1+, which was not the same as the 5M cells proposed in the grid independence study; here, the main point was to use a 7M as a grid for the productive runs.
Figure 6b shows the distribution of the cells in the mesh.
2.11. Initial and Boundary Conditions
The conditions under which the simulation was carried out were those of the engine operating in a take-off regime. For practical purposes, the simulation was carried out by burning methane instead of kerosene to reduce the simulation’s complexity [
22]. The implementation of methane as fuel in the aeronautic industry has been studied since the 1970s and even in earlier studies [
23] and actually is a novel topic in several investigations [
24]; in the same sense, the use of aeronautic turbines for electrical generation using methane as fuel is becoming an attractive field in recent years [
25]. Even more, in some power plants with aeroderivative gas turbines methane is used as fuel with no more implications in the design that the modification of the injectors [
26]. According to Zhang et al. (2016) [
27], the use of simpler fuels to emulate the behavior of complex jet fuels is an important need for the development of physics-based models to quantify the emissions and performance predictions in combustors modeling, concluding that any alternative jet fuels must be totally interchangeable with actual fuels without compromising the performance nor the flight safety [
12].
The fuel mass flow was recalculated to avoid exceeding the maximum permissible temperature inside the combustor, obtaining the value shown and the rest of the simulation conditions in
Table 8.
Fuel injection was performed axial to the flow and at 45° and 60° concerning the horizontal, using surfaces designed for this purpose, located at the back of the swirler, which replace the injector. The turbulence model chosen was
, as it fits the requirements of the problem, such as a high Reynolds number and compatibility with the Flamelet model for combustion-related calculations [
28,
29,
30].