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1 Aerodynamic Characteristics of Aerofoils ENME 570 Lab B02 October 20, 2023 Marcus Gregory UCID: 30115997 Rachel Mah UCID: 30114083 James Williams UCID: 30061201 Ayman Malkawi UCID: 30117701
2 TABLE OF CONTENTS EXECUTIVE SUMMARY 3 1 INTRODUCTION & BACKGROUND 3 2 METHODS & PROCEDURE 5 3 - RESULTS 6 4 - DISCUSSION 12 5 - CONCLUSION 17 6 - REFERENCES 18
3 EXECUTIVE SUMMARY The purpose of this laboratory experiment is to gain a better understanding of wind tunnel testing and to analyze the collected data to gain further knowledge regarding the pressure distribution around an aerofoil. Further objectives include analyzing how lift is generated by different aerofoils and how shape and angle of attack affect the lift and drag forces. Two aerofoils are tested in the wind tunnel; a symmetrical aerofoil NACA 0012 with pressure taps and a cambered airfoil NACA 2412 with a variable flap. An open-loop, subsonic wind tunnel is used which contains a force transducer to measure lift or drag as well as a 32-way manometer to obtain the 20 pressure measurements for NACA 0012. In completing this lab, the coefficient of lift for NACA 0012 was obtained using the pressure distribution for each angle of attack and compared with the values from the force transducer measurements. The plot showed that discrepancies between the two methods increased at higher angles of attack. Plots of lift coefficient vs angle of attack, drag coefficient vs angle of attack, and lift coefficient vs drag coefficient were produced for both aerofoils and compared. Many conclusions were drawn from the plots. Firstly, the coefficient of lift for the symmetric airfoil was approximately zero at zero angle of attack as opposed to the cambered aerofoil which did produce lift initially. It was expected that the cambered airfoil would produce a greater amount of lift than the symmetrical airfoil however, the trend in the data showed that as the angle of attack increased, the coefficient of lift was greater in the symmetric aerofoil which could be due to a variety of sources of error present in the experiment. It is concluded that a cambered aerofoil can generate a greater amount of lift than a symmetric aerofoil before stalling. The plots reinforced that the cambered aerofoil produced less drag than the symmetric. Multiple sources of error were identified in the experiment including bias errors found in the calibration of certain tools, misalignment in the system, and instrument drift. Additional random errors could be due to turbulence within the wind tunnel, environmental fluctuations, vibrations, as well as human error. Overall, the lab was a success and the trends found in the results were similar to those found in literature. 1 INTRODUCTION & BACKGROUND Aero foil theory and wind tunnels play integral roles in the field of aerodynamics, shaping our understanding of how objects interact with fluids, particularly in the field of aerospace engineering. The airfoil theory serves as a fundamental framework for understanding and predicting these aerodynamic behaviors. Wind tunnels, on the other hand, are invaluable tools that allow engineers and scientists alike to conduct controlled experiments, test models, and collect data to better understand, validate, and refine aerodynamic concepts including the airfoil foil theory. Airfoil theory revolves around the study of airfoils, which are specifically designed shapes that optimize lift and minimize drag when an object moves through a fluid, particularly in air. The distinctive shape of an airfoil is characterized by a curved upper surface and a flatter lower surface, designed to manipulate the airflow around it. This manipulation leads to the generation of lift, a force that enables aircraft to overcome gravity and achieve flight. This manipulation also attempts to minimize the drag forces acting upon it. There are 2 main components of drag, both of which arise due to the viscosity of the fluid:
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5 1. Frictional Drag: This component results from the resistance of air as it flows over the surface of an object, such as the wing of an aircraft. 2. Pressure Drag: This component emerges from the variations in air pressure around the object. This pressure difference results in an aerodynamic force that acts in the direction of the higher pressure, which is typically towards the upper surface. The shaping of immersed bodies is crucial for generating lift. This lift is produced by manipulating pressure distributions around the body. Symmetric bodies can also create lift by adjusting the angle of attack, which is the angle relative to the free stream direction (α). An airfoil serves as a prime example of a body that is designed to generate lift. They can be symmetric or asymmetric in cross-section. Importantly, asymmetric airfoils can produce lift even at α = 0 degrees, while symmetric airfoils require a nonzero α to generate lift. This foundational knowledge underpins aerodynamics and is pivotal in designing wing profiles and optimizing performance. The drag and lift forces can be found by taking the surface integral of the body and is represented by equations 1 and 2. 𝐹 ? = ∮ 𝑃 ? sin 𝜃 ?𝐴 + ∮ 𝜏 𝑜 cos 𝜃 ? ?𝐴 (1) 𝐹 𝐿 = ∮ 𝑃 ? cos 𝜃 ?𝐴 − ∮ 𝜏 𝑜 sin 𝜃 ? ?𝐴 (2) In computing the drag and lift forces, the coefficient of lift and the coefficient of drag can also be determined using the relations in equations 3 and 4. 𝐶 ? = 𝐹 𝐷 1 2 𝜌 𝑈 2 𝐴 (3) 𝐶 𝐿 = 𝐹 𝐿 1 2 𝜌 𝑈 2 𝐴 (4) Wind tunnels are controlled environments for simulating the flow of air over objects, providing an experiment to further verify and refine the airfoil theory. They typically consist of a test section, where the models or prototypes are placed, and a powerful fan system to propel air over these objects at controlled speeds. Wind tunnels allow engineers and researchers to study the effects of factors such as airspeed, angle of attack, and airfoil shape in a consistent manner. Wind tunnels can appear in many different fashions depending on the use. The wind tunnel in this lab is an open-loop, subsonic wind tunnel with a square intake, test section, and outtake. The speed ranges from 0 to 36 m/s, and the 600 mm-long test section has a 305 mm by 305 mm cross-section. An important parameter for any wind tunnel testing is the freestream velocity (U∞), which can be measured using a pitot tube, by placing it normal to the flow which creates a stagnation point at the tip where the stagnation pressure may be measured. On the side of the pitot tube, the flow closely approximates the velocity of the free stream, and it is possible to measure the static pressure of the fluid. The difference between these values represents a pressure corresponding to the reduction in potential energy from stagnation to static. Assuming energy conservation, this reduction is equivalent to the kinetic energy of the flow at the free stream velocity.
6 2 METHODS & PROCEDURES For the experiment the two aerofoils being tested in the wind tunnel are NACA 0012 with pressure taps and NACA 2412 with a variable flap. The open-loop, subsonic wind tunnel contains a force transducer to measure lift or drag as well as a 32-way manometer to obtain the 20 pressure measurements for NACA 0012. Figure 1: Schematic of Wind Tunnel Setup 1. Turn on the power for the data acquisition system, the fan, and the force transducer. 2. Connect the force transducer using TeqQuipment’s data acquisition s oftware on the computer. 3. After ensuring the lift and drag balance are in the lift position, level the aerofoil at an angle of attack of 0 degrees. To ensure it is level and secure, use the screws and ensure the tip of the edges of the aerofoil are 153mm from the bottom wall of the wind tunnel. 4. Record the tare value of the pressure in manometers one to twenty as well as the last manometer (static pressure), this value should be approximately 300 mm. 5. Ensure the pitot tube is pointed upstream and lowered to 30 mm from the tunnel wall to measure accurate air speed. 6. Next, tare the force balance and turn the fan speed dynamometer completely counterclockwise. 7. After switching on the fan, turn the speed up until the pitot tube manometer has reached 40 mm and avoid touching or moving the equipment as it will affect the accuracy of the results obtained. 8. After waiting two minutes for the air speed to steady, use the software to collect force data at a frequency of 2 Hz for 60 seconds. 9. Pressure data can now be collected for the corresponding angle of attack. Record each pressure measurement in the data table provided. 10. Repeat steps 1-9 for the required angle of attacks.
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7 11. Once the data for lift has been collected for all angles of attack, turn the fan off and repeat the procedure after setting the balance to drag instead of lift. 12. Repeat the above steps 1-11 for the NACA 2412 aerofoil, disregarding steps required for measuring pressure as NACA 2412 has no pressure taps. The variable flap should be set to zero degrees. 13. The data collected by the software can be exported to an excel file once all tests are complete. 3 RESULTS After collecting the data from the experiments there were two sets of data that are important in analyzing the performance of different aerofoils. There are two important data sets that were collected and will be used to determine the lift and drag coefficients. The first method is using the pressure distribution around the airfoil measured by the 32-way manometer. The other set collected was using the data acquisition software that monitors the lift and drag balance to measure the force that the aerofoil induces. This can be used to measure the lift and drag forces. Firstly, the characteristics of the flow such as the freestream velocity , Reynold’s Number, and dynamic pressure in the wind tunnel was determined using the pitot static tube: Table 1: Calculated Characteristics of the Flow in the Wind Tunnel Pitot static (mm) Calculated Velocity (m/s) Re c Dynamic Pressure (Pa) 40 25.34 271118 340.4 A subset of the pressures measured around the aerofoil for an angle of attack of 0 ˚ is shown below: Table 2: Subset of the Measurements from Pressure Taps Angle of inclination (deg) 0 2 Pressure Taps Tare (mm) Pressure measurement (mm) 1 298 266 254 2 299 283 288 3 298 254 244 4 299 254 260 5 298 243 234 Static (P ) 300 260 260
8 The lift coefficient CL was computed from the pressure distribution using the drag and lift forces along the surface of the aerofoil using the following equation: 𝐹 𝐿 = ∮ 𝑃??𝑠𝜃?𝐴 − ∮ 𝜏 𝑜 𝑠𝑖?𝜃?𝐴 𝑆 𝑆 Assuming the frictional coefficient is very small compared to the first term, the pressure acts only in the vertical direction, and the lifting pressure is P = P i -P . The equation can be rewritten: 𝐶 ? = 𝐹 𝐿 1 2 𝜌 𝑈 2 = ∮ (𝑃 𝑖 − 𝑃 ) 1 2 𝜌 𝑈 2 ?𝐴 𝑆 The pressure is computed using the 32-way manometer. Thus, the static pressure for each tap was computed: 𝑃 𝑖 = 𝜌 𝑤𝑎?𝑒? ∗ 𝑔 ∗ (ℎ − ℎ ?𝑎?𝑒 ) Using Excel, the pressure around the aerofoil was determined for the 20 pressure taps. This pressure data was used to find the coefficient of pressure, then integrated along the top and bottom surface to determine the sectional lift coefficient. This integration was done using MATLAB, using the polyfit command to fit a polynomial to the data and integrating this curve the sectional lift coefficients were computed. However, it is important to note that this is the sectional lift coefficient at midspan. Hence multiplying the C l value by a span of 0.3m results in the C L for the aerofoil. Table 3: Computed C L from the pressure distribution around the aerofoil Angle of Attack Cl Computed Using MATLAB CL 0 0.1789 0.05367 2 0.3541 0.10623 4 0.5048 0.15144 6 0.7025 0.21075 8 0.8008 0.24024 10 0.8676 0.26028 12 0.7818 0.23454 14 0.9218 0.27654 16 0.9681 0.29043 The coefficient of pressure was used to find the lift coefficient thus, a plot comparing the coefficient of pressure vs. the angle of attack can be plotted:
9 Figure 2: C P vs α The lift coefficient can also be computed using the force balance that the airfoil is attached to. A subset of the force balance data acquired by the data acquisition software is shown below: Table 4: Subset of the Force Balance Data Set to Lift Mode for α =0 Time AF1300Z Basic Balance Manual Angle Input Operating Conditions Time Force Orientation Manual Angle Atmospheric Temperature Atmospheric Pressure Ambient Air Density (s) (N) (°) (°C) (mbar) (kg.m -3 ) Data Series 1 0 -0.05 Lift 0 22.0 900.00 1.06 0.5 0.04 Lift 0 22.0 900.00 1.06 1 0.03 Lift 0 22.0 900.00 1.06 -3.5 -3 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Cp Cp vs. α alpha=2 alpha=6 alpha=10 alpha=14
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10 The force that the aerofoil produces in the lift direction is recorded. Taking the absolute value of the forces and then the average, the force that the corresponding angle of attack is determined. Plugging this force into equation (2), the lift coefficients were determined. The same procedure can be carried out for the drag coefficient. Table 5: Computed C L and C D for NACA 0012,2412 Aerofoils NACA 0012 Angle of attack FL AVG [N] FD AVG [N] CL CD 0 0.01 0.33 0.000644386 0.02126475 2 1.46 0.77 0.094080409 0.04961775 4 2.08 2.2 0.134032364 0.141765 6 2.83 2.31 0.182361341 0.14885325 8 3.9 2.19 0.251310682 0.141120614 10 5.57 2.26 0.358923205 0.145631318 12 7.2 1.61 0.463958182 0.103746205 14 8.17 4.39 0.526463659 0.282885614 16 7.73 N/A 0.498110659 N/A NACA 2412 Angle of attack FL AVG [N] FD AVG [N] CL CD 0 1.32 0.13 0.085059219 0.008377044 2 1.79 0.15 0.115345456 0.00966582 4 2.4 0.57 0.154653126 0.036730117 6 2.73 0.53 0.175917931 0.034152565 8 3.06 0.94 0.197182736 0.060572474 10 3.31 1.11 0.213292436 0.071527071 12 3.27 1.58 0.210714884 0.101813308 14 3.31 2.47 0.213292436 0.159163842 16 1.69 3.76 0.108901576 0.242289897 Using this data and comparing between the two measurement methods as well as between the two aerofoils, the following plots were created:
11 Figure 3: Comparing Lift Coefficient vs. Angle of Attack for the Two Methods Figure 4: Lift Coefficient vs. Angle of Attack for the Different Aerofoils 0 0.1 0.2 0.3 0.4 0.5 0.6 0 2 4 6 8 10 12 14 16 18 CL α NACA 0012 CL vs. α Pressure Distribution Force Transducer 0 0.1 0.2 0.3 0.4 0.5 0.6 0 2 4 6 8 10 12 14 16 18 CL α CL vs. α NACA0012 NACA2412
12 Figure 5: Drag Coefficient vs. Angle of Attack for the Different Aerofoils Figure 6: Lift Coefficient vs. Drag Coefficient for the Different Aerofoils 0 0.05 0.1 0.15 0.2 0.25 0.3 0 2 4 6 8 10 12 14 16 18 CD α CD vs. α NACA0012 NACA2412 0 0.1 0.2 0.3 0.4 0.5 0.6 0 0.05 0.1 0.15 0.2 0.25 0.3 CL CD CL vs. CD NACA0012 NACA2412
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13 4 DISCUSSION From the results, coefficients of lift, drag, and pressure were determined using the force balance and pressure distribution. These relations were plotted and can be useful in characterizing the aerofoils. It is important to note that this experiment only measured the sectional lift coefficient. The difference between the lift coefficient and the sectional lift coefficient is important when comparing aerofoils, so it is important to distinguish the two. The lift coefficient is a dimensionless parameter that characterizes the lift generated by an entire airfoil . It’s typically used to describe the lift performance of an entire airfoil or aircraft. This coefficient represents the lift force in relation to dynamic pressure and the reference area. The lift coefficient can vary with different angles of attack, airspeeds, and other flight conditions. It is typically used to monitor an aircraft or airfoil’s characterist ics, including lift curves, stall behavior, and performance. The Sectional lift coefficient, on the other hand, represents the lift generated at a particular section of the airfoil per unit span. This coefficient is often studied to understand the variations of lift distribution along the span of a wing. Engineers and aerodynamicists often use this to design different wing shapes to achieve desired lift distribution characteristics or features such as twist, taper, and winglets. These lift and drag coefficients are very important in characterizing the aerofoils. As shown in Figures 4 and 5 plotting the C L and C D coefficients as a function of the angle of attack, the two aerofoils can be compared. First, looking at the lift coefficient curves, the main difference between a cambered airfoil and a symmetric airfoil can be observed. At an angle of attack of 0 ˚ NACA 2412 produces lift, while NACA 0012 does not. The gradient of the CL curve represents the lift curve slope, which is a measure of the change in lift per unit change in angle of attack. If this value were to be high, it would imply that the aerofoil can generate more lift for a given change in angle of attack. The gradient of the CD curve is related to the drag increase with angle of attack. The magnitude of this increases and its trend can be indicative of how prone the aerofoils are to drag. A flatter CD vs angle of attack curve indicates lower drag increase with angle of attack. Significant changes in the shape of curves may indicate flow separation, stall, or other aerodynamic phenomena. A sudden change in the CL curve, such as a sudden drop in lift, indicates the stall point, which can be crucial for aircraft safety. A sudden change in the CD curve, such as a sharp increase, can indicate a significant drag due to flow separation or other factors. Not only can these coefficients be compared to the angle of attack, but they can be plotted against each other. As shown in Figure 6, after plotting CL vs CD, the aerodynamic performance can be evaluated. The plot can be used to see the produced lift for a corresponding drag coefficient. This is important because it can be used to optimize the wing depending on its requirements. For example, it shows the amount of drag present for lift being produced. These can be used to find the most efficient angles of attack to operate the aerofoil depending on if it is being used to produce lift or minimize drag. The most efficient angles of attack can be determined from the figures below:
14 While the CL vs. CD graph is useful, the results we obtained from the lab were not what was expected, there are discrepancies for the NACA 0012 aerofoil. This large deviation could be due to the experiment failing during the session due to the force balance being bumped causing the results to differ. It is possible that after restarting the experiment, the given angle of attack was not held constant after restarting the apparatus. Holding a given angle of attack for a test period of 60 seconds serves several different, yet important purposes. These are explained below: Steady-State Data: Holding a constant angle of attack for 60 seconds allows the forces to stabilize and reach a steady-state condition where the measurements are reliable, accurate, and consistent. Reduce fluctuations: Aerodynamic forces tend to fluctuate during the initial moments as the flow adjusts to the new angle of attack. By holding the angle of attack for 60 seconds, it allows the possibility of averaging the data over the time period, to reduce these short-term fluctuations and provide a more representative measurement. Observe Stability: Maintaining a 60 second angle of attack allows engineers or researchers to observe the long-term stability of the airfoil and ensure that the data collected is not being influences by transient effects in the wind tunnel’s airflow, providing a more accurate depiction of performance. Capture Key Moments: In certain cases, specific aerodynamic behaviors may take some time to fully develop. A 60 second period allows for the capture of these critical points, ensuring that important characteristics are not missed. Holding the given angle is important, however it is not the only source for error during the experiment. Errors such as bias error and random error can be present in the results. Bias error refers to a consistent and predictable deviation of measurements from the true or correct value. Some of the potential sources of bias error that may have taken effect throughout the experiment includes: 1. Calibration Issues: Inaccurate calibration of certain tools such as speed sensors, pressure sensors, or balance systems. 2. Misalignment: Misalignment of the model, balance, systems, or any wind tunnel components can lead to consistent bias errors in measurements. 3. Instrument Drift: Over time, measurement instruments may experience drift, which may impact the accuracy of the measurements due to environmental or wear-like conditions. Random error refers to unpredictable deviations in measurements that occur due to uncontrollable factors. Some potential sources include: 1. Turbulence: Inconsistent airflow or minor turbulence within the wind tunnel can lead to a random variation in measurements. 2. Changes in Environment: Random fluctuations in temperature, pressure, or humidity can affect the properties of the air, which could cause random changes to the measurements. 3. Vibrations: Vibrations from the wind tunnel or external sources, such as sound or movement of outside object, may introduce randomness into the measurements.
15 4. Human Error: Misreading certain values or a variation in a human’s attention can lead to random error in measurements. Bias Error Correction: Identifying and correcting bias errors can be addressed through regular equipment maintenance and calibration. Random Error Mitigation: Mitigating random errors includes taking a larger number of measurements and ensuring stable testing conditions within the wind tunnel during experimentation. It is very challenging to mitigate all these errors, this is why it is important to compare data to other experiments as well as expected values found in literature. Shown below are some comparisons between the results obtained in this lab and literature values: Figure 7: Comparing C P vs. x/C of the NACA 0012 Aerofoil at α =10 and 9 ˚ Compared to Figure 4.3 Literature Values From [textbook pg 374] -3.5 -3 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Cp (Experimental) alpha=10
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16 Figure 8: Comparing Cl vs. α of the NACA 0012 Aerofoil Compared to Figure 4.25 Literature Values from [1, pg.353]. Figure 9: Comparing CD vs. α of the NACA 0012 Aerofoil Compared to Literature Values From [3] -1.6 -1.2 -0.8 -0.4 0 0.4 0.8 1.2 1.6 2 2.4 -24 -16 -8 0 8 16 24 32 Cl α Cl vs. α 0 0.05 0.1 0.15 0.2 0.25 0.3 0 5 10 15 CD α CD vs. α
17 Figure 10: Computed Sectional Lift Coefficient vs. α of the NACA 2412 Aerofoil Compared to Figure 4.10 Literature Values from [1, pg 330] Figure 11: Comparing CD vs. α of the NACA 2412 Aerofoil Compared to Literature Values From [4] These comparisons show promising results for this experiment. While the values do differ from literature slightly, the trends that the aerofoils demonstrate match up to the literature values in all the plots. -1.2 -0.8 -0.4 0 0.4 0.8 1.2 1.6 2 -8 0 8 16 24 Cl α Cl vs. α NACA2412 0 0.05 0.1 0.15 0.2 0.25 0.3 0 5 10 15 20 CL α CD vs. α
18 The last performance characteristic of aerofoil design is the aerodynamic that is of intertest during this experiment is the aerodynamic center. The aerodynamic center is the point along the chord line of an airfoil where the total aerodynamic force can be considered to act. The aerodynamic center plays a crucial role in an aircraft’s stability and controll ability. Its position relative to the center of gravity influences the stability of the aircraft. This center should be positioned ahead of the center of gravity for a stable flight. Finding the location of the aerodynamic center is also crucial to evaluate stall behavior, since locating the aerodynamic center after the center of gravity can lead to a nose-up pitching moment during a stall, which can be problematic. The aerodynamic center of symmetrical and asymmetrical airfoils may be calculated using the following equation: 𝑋 𝑎 𝑐 = 0.25 − ? ? 𝛼𝑐 4 ? ? 𝛼 [2] Given that the slope of the lift curve, 𝐶 ? 𝛼 , and the pitching moment coefficient about the quarter chord, 𝐶 ? 𝛼𝑐 4 , are known it is possible to determine the exact location, 𝑋 𝑎 𝑐 , of the aerodynamic center on a given airfoil. In our case since we have collected the pressure distribution, we know the lifting force across the chord length we are able to calculate the lifting curve per unit length 𝐶 ? and thus its slope at varying angles of attack. To determine 𝐶 ? 𝛼𝑐 4 we can use the following equation: 𝐶 ? 𝛼𝑐 4 = ? 𝑐𝛼 4 1 2 𝜌𝑉 2 𝑐 2 Where ? 𝑐 4 is the moment about the quarter chord, ? = 𝐹 ? 𝑥 𝑐 1 4 . We know the air density, chord length and air speed from supplied data. It is important to note that the aerodynamic center of symmetrical airfoils is simply 0.25 because the moment about the aerodynamic center is zero for all angles of attack. 5 CONCLUSION Overall, this lab experiment was a success. The wind tunnel equipped with a 32-way manometer and force balance, was used to quantify the pressure distribution, the lift, and the drag forces around two different aerofoils. This data was used to determine the lift, drag, and pressure coefficients of the aerofoils. The effects of changing angle of attack and the difference between a symmetric and cambered aerofoil were observed. These relations and plots were analyzed for possible sources of error and compared with literature values to back up their validity. It turns out the results from this lab were close to literature values, however, some slight deviations were observed. These sources of error were identified and the significance of holding attack angles was investigated.
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19 Lastly, other aerodynamic properties were investigated. Such as the aerodynamic center and the use of lift and drag coefficient in aerodynamic optimization. These properties are important in aerodynamics and give insight on other possible experiments that can be performed on aerofoils in a wind tunnel.
20 6 - REFERENCES [1] Anderson, J.D. Fundamentals of Aerodynamics . 6 ed. New York: McGraw-Hill Education, 2017. Accessed October 19, 2023. [2] Aerodynamic centre . Aerodynamic Centre - an overview | ScienceDirect Topics. (n.d.). Accessed October 20, 2023. https://www.sciencedirect.com/topics/engineering/aerodynamic-centre. [3] Airfoil Tools. NACA 0012 Airfoils. Airfoil Tools. Accessed October 20, 2023. http://airfoiltools.com/airfoil/details?airfoil=n0012-il [4] Airfoil Tools. NACA 2412 Airfoils . Airfoil Tools. Accessed October 20, 2023. http://airfoiltools.com/airfoil/details?airfoil=naca2412-il