Introduction
Aircraft design is fundamentally a subset of engineering design. Firstly, designing is an analytical procedure, and usually is joint drawing or drafting. Design has its own structure of knowledge, separated from the science-based analytical tools often cooperate with it. Design is a more sophisticated version of problem-solving technique that a lot of people use it regularly. Design is thrilling, demanding, satisfying, and rewarding (Sadraey, 2024).
The standard process for solving a mathematical problem is straightforward. Design is far more subjective, with several possible answers rather than a single correct answer. The world of design contains lots of difficulties, unpredict abilities, vagueness, and inconsistencies (Sadraey, 2024).
Basically, there are three essential operations are involved in the design procedure, which are: analysis, synthesis, and evaluation. A fundamental and uncomplicated model of a design procedure is displayed schematically in Figure 1 (Sadraey, 2024).
Analysis is the performance or behaviour prediction process of a potential design (Sadraey, 2024). Evaluation includes calculating performance and comparing the predicted performance of each possible design candidate to identify and flaws. The noun synthesis describes a process of combining two or more elements to create something new (Sadraey, 2024).
Design of aircraft is impacted by number of problems not the least is the economic considerations for the desired aircraft whether it is for civilian or military purposes. But nowadays the recent strategy of aircraft design is somehow connected to the industrial growth, which can be able to make rely on national infrastructure, governmental regulation and rules, workforce capabilities and raw materials. These are basically connected to the international economic and political conditions (Kundu, et,. al, 2019).
Introduction reference list
Kundu, A.K., Price, M.A. and Riordan, D., 2019. Conceptual aircraft design: an industrial approach. John Wiley & Sons.
Sadraey, M.H., 2024. Aircraft design: A systems engineering approach. John Wiley & Sons.
Main post 1
Many aircrafts are design as fixed-wing vehicles and are widely recognised as airplanes. A fixed-wing aircraft is a type of aircrafts that is heavier than air, that has the capability of flying in the air through producing lift by its wings. An aircraft with an operated engine is basically called an airplane Figure 2. (Sun, Adnan, 2021).
an aircraft has several incorporated components, as displayed in Figure 3. Typically, these components can be classified into straightforward mechanical parts for example wing, fuselage, landing gear, tail units (horizontal and vertical stabiliser), also control surfaces like aileron, rudder, and elevator. (Sun, Adnan, 2021).
The major structural component in the airplane is the fuselage. It gives room for load, control system and pilots, travellers and cabin crews, and other additions and equipments. The fuselage houses the power plant in the single engine aircraft. A fuselage has access to diverse structures that it can be built by like truss, semimonocoque, and monocoque (Sun, Adnan, 2021).
Also, carrying the air is the main purpose of the wing and power plant loads and transfer them to the fuselage. the wing’s cross-section shape is the same shape of an airfoil, which is structured based on aerodynamic matters. Basically, wings are designed based on monospar, multispar, or box beam (Sun, Adnan, 2021).
axial members are designed to carry extensional or compressive loads applied along their axial direction, resulting in uniaxial stress:
While E and stand for the Young’s modulus and normal stress, in row, in the loading direction. The utter axial force
given by the member is
In the provided scenario, A stands for the member’s cross-sectional area, δ denotes the axial displacement and L symbolizes the length of the axial member. EA is a term that sorts out the axial rigidity which, on the one hand, depends on the elasticity and, on the other hand, depends on the member’s cross-section area. It is all clear that the transformation of the cross-section’s shape has no effect at all on the axial stiffness. By way of illustration, the circle and the channel section can both confidently take the same load provided their cross-sectional areas are the same (see Figure 4). The bending load is known that is directly relative to the buckling stiffness and inversely relative to the square of the effective length (Sun, Adnan, 2021).
Through shortening the buckle mode, the buckling strength can be increased by increasing the bending stiffness. The channel section is better in buckling resistance due to its larger bending stiffness as compared to a circular section. Nonetheless, the bending stiffness of most axial members used in aircraft such as stringers is usually a very small amount because of their slenderness, and as a result, it is inadequate to achieve the required buckling strength. To address this issue, the buckling strength of axial members is typically increased by using lateral supports along their length and rigid ribs in the wings and frames in the fuselage (Sun, Adnan, 2021).
The structure of aircraft has improved over time form the classical structure style to more up to date computer-based design method utilising multivariate structural optimisation. The diversity and complexity of aircraft’s concept which has developed, lots of synthesis packages were pushed beyond their capabilities. Each concept needs an independent package because it was focused on the analysis of one particular concept by several examples of the aircraft structure (Smith, et., al. 2019).
The incorporated design “flying wing” (FW), or “blended wing body” (BWB) is recognised to be the ideal aerodynamic design for long-range aircraft. Full removal of the fuselage as a major component of drag, was the aim of the flying wing idea. Additionally, the empennage is also absent in a classical flying wing design. Theoretically, the lift to drag percent of flying wing can be up to 40% higher than that classical design for the same wing aspect percent. Moreover, due to the probability of more uniform distribution of cargo inside the wing, the design of the flying wing for the aircraft empty weight which have to be less. Therefore, more complicated issues of balancing and controllability of flying wing without doubt lead to losses (chernyshev, et,. al. 2019).
Substantial structural height of the wing is required to enhance the comfortability of travellers, which a factor can lead to a considerable increase of absolute aircraft sizing is standard small comparative thickness. The only reasonable applications of these enormous flying wing aircrafts for top high transportation capacity (1000 traveller). According to challenges of incorporation of that kind of aircrafts into existing transportation flows and safety purposes that kind of aircrafts have not tested seriously yet (chernyshev, et,. al. 2019).
At the dawn of CFD, its implementation in the industry was seen in a lukewarm light by aerodynamicists who have been in practice for a long time, they were partly afraid that it might reduce their workloads. But, it was soon found that CFD was just a new approach that could add to the understanding and analysis of designs. The introduction of this new technology was particularly the key factor for aerodynamicists, as they had to gain the knowledge to operate the tool and find a new way of working with the tool in the process of analysis and design (Martins, 2022).
Other than understanding the design, CFD analysis, which usually leaves out, if not the last, then an important part of the engineering work, also has to the need for promoting it. The method of combining the resource of CFD analysis with numerical optimization is recently the more effective way to advance the designs according to Mr. Minutes to successful. But, the optimization of the aerodynamic design using CFD may lead to the same difficulties as when CFD was first introduced into the industry years ago. Even though this new tool apart from the many challenges it faces and can be considered a tool that has the potential to improve the aerodynamic design process, it also comes with problems of its own (Martins, 2022).
They could even be considered as a basis because CFD, which is the parent to the children in the newer generation of aerodynamicists, is the preliminary stage to design [the children of aerodynamicists]. Nevertheless, the deeper the understanding of design optimization is, the more and more urgent it becomes for conventional aerodynamicists to cultivate this art. Otherwise, they will be limited in their activities and will be restricted in the sector variety (Martins, 2022).
In the ADflow open-source CFD solver, the ANK approach was done, ADflow has the capability of evolving the steady-state solution to the RANS equations even for naturally irregular flow fields. According to the backward Euler algorithm, steadies physically unstable forms. An instance is presented in Figure 5 of a flow solution. While the Common Research Model (CRM) of NASA is done at a 90 degrees angle of attack at M= 0.85. Also, the resolution in this instance is not physically real, the key point is that the flow solver productively evolves. Also, by Burgess and Glasby this instance was inspired by the 90-degree angle-of-attack airfoil resolution (Martins, 2022).
An instance by using MACH-Aero demonstrates an optimisation process, that begins from a circular and evolves into a supercritical airfoil throughout fully automated optimisation, as shown in Figure 6. Once more, the circular intermediate shapes of the flow solution are not realistic, nonetheless, the derivatives with respect to shape have the right trend for drag reduction. As the shape nears the optimum, the RANS solution becomes accurate. Intermediate inaccuracies are irrelevant as long as the optimizer ultimately converges to a case where the solution is valid (Martins, 2022).
Two efficient optimization methods, as well as two gradient-free optimization algorithms, have been put to the test in Figure 7 of scalability, their names include NSGA2 and ALPSO for the latter, and SLSQP and SNOPT for the former, thereby, were utilized to solve a multidimensional Rosenbrock problem. All four scenarios of those methods were criticized to evaluate them in the context of a more practical situation, that just used all kinds of optimizers on a CFD-based wing twist problem. This, which involved only nine parameters, was a morphing problem based on the limit of the twist variable and used a rather coarse mesh, was aimed at making the optimization in the absence of gradients using the NM algorithms possible. The needed optimised λ o, as noted above, was to make a balance between the drag coefficient minima and a lift coefficient constraint though Still squared gradients when the algorithm was checked. Gradient-based algorithms were common end-users of around 14 to 230 function evaluations, which were very different from gradient-free algorithms that needed several an emanation like the one over 8000, for an airfoil optimisation problem (Martins, 2022).
The used process for the work above is SNOPT, a gradient-based algorithm that apply sequential quadratic programming and have the ability to deal with nonlinear restrictions. To assist the framework, the SNOPT was enclosed, (a Fortran library) with Python throughout the pyOptSparse wrapper. Furthermore, assisting the incorporation with the other modules of the framework, pyOptSparse gives a usual interface to several optimisation algorithm; to try a different algorithm, in the main run script, a flag only needs to be changed. Using this facility, to be able to do all the results shown in Fig. 8. (Martins, 2022).
The two essential classifications of numerical enhancements: gradient-free and gradient-based techniques. For great values measurements, great fidelity enhancement of aerodynamic issues relies on computational fluid dynamics (CFD), the mixture of a gradient-based optimiser and the adjoint way for computing the demanded gradients has shown to be the greatest efficient way. In fact, the Inevitable feasible decision when the value of layout varying go beyond 100 or so (He, et,. al. 2019).
Main post 1 reference list
Chernyshev, S.L., Lyapunov, S.V. and Wolkov, A.V., 2019. Modern problems of aircraft aerodynamics. Advances in Aerodynamics, 1(1), p.7.
He, X., Li, J., Mader, C.A., Yildirim, A. and Martins, J.R., 2019. Robust aerodynamic shape optimization—from a circle to an airfoil. Aerospace Science and Technology, 87, pp.48-61
Martins, J.R., 2022. Aerodynamic design optimization: Challenges and perspectives. Computers & Fluids, 239, p.105391.
Smith, H., Sziroczák, D., Abbe, G.E. and Okonkwo, P., 2019. The GENUS aircraft conceptual design environment. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233(8), pp.2932-2947.
Sun, C.T. and Adnan, A., 2021. Mechanics of aircraft structures. John Wiley & Sons.
Main Post 2
Case Study: Effects of wing flexibility on aerodynamic performance of an aircraft model.
At the beginning, the basic aircraft model was chosen to apply the low-speed wind tunnel experiment to discover the affection of wing flexibility on the aircraft aerodynamic performance. Measurements of force, like Layer Distortion, velocity field, and constant of Reynold which equal of 5.4 104
5 , are included in the experiment. In the lift curves, couple of heights are detected (Qinfeng, et,. al. 2021).
the stall is corresponded to the initial height, and the wing sensitivity is more flexible than the first height, which approximately stay consistent. For the optimal case, compared to the rigid wing model, approximate of 5o are achieved of delayed stall. And the raise of the relative lift is about 90% (Qinfeng, et,. al. 2021).
It shows that the lift improvement region corresponds to the bigger distortion and stronger shaking, which leads to more intensive flow mixing close to the flexible wing surface. Therefore, the leading-edge separation is dominated, the performance of aerodynamic is enhanced substantially (Qinfeng, et,. al. 2021).
In the aircraft layout world, the persistent chase of designers is for better aerodynamic characteristics. Additionally, using flaps to adjust the wing’s camber and surface area to generate extra lift during low-speed flights, but by causing asymmetrical rotation of the wing, the aileron creates moments. Recently, morphing which stands for the vehicles’ capability to accomplish smooth external form adjustment, has attracted more attention (Qinfeng, et,. al. 2021).
However, the aerodynamic opinion says that the benefits of morphing wing have long been acknowledged, the layout complexity, as well as a sequences of technical issues, controls its practical application (Qinfeng, et,. al. 2021).
The length of the whole body is 219.3 mm and the diameter is 40 mm. It has an ellipsoidal cone-like shape, with the wing root’s leading edge located 101.3 mm from the nose. The Figure 9(a) on the page shows the outline drawing of the model which denotes the wing leading-edge sweep angle (Λ) as 15°. The leading edge’s inner part remains straight, while the outer section curves elliptically, as seen in the Figure 9(b) (Qinfeng, et,. al. 2021).
For force measurements, a model was fitted onto the tail of a six-component strain balance as described in Fig. 10. Installed into the tail end of the panel was the balance with the help of a tapered fit. Each force data was collected from about 2000 sample points that were time-averaged over 20 seconds. A servo mechanism with a range of 0° to 60° was used to change angle of attack and an accuracy of 0.05° was maintained. The angle of attack (α) was varied at α = 60° and drag blockage was below 5% so it was not necessary to perform drag corrections. The angle of attack was adjusted by 1° down to 0° and promoted by 2° from 1° to 50°. These were the Reynolds numbers = 5.4×10⁴ to 10.8×10⁴ corresponding to the wing root length. The repeated measurements showed an uncertainty of less than 3% (Qinfeng, et,. al. 2021).
To discover the secret behind the better aerodynamic performance of the flexible wing, the velocity fields of both rigid and flexible wings with Λ = 15° were analysed using Particle Image Velocimetry (PIV). The MicroPIV system was composed of an array of devices, including a Charge Coupled Device (CCD) camera, the light source of a Nd:YAG double-pulsed laser, and the ethylene glycol droplets as the tracer particles. The power and the wavelength of the laser were 500 mJ and 532 nm respectively. The camera, whose resolution was 2456 × 2058 pixels, captured a field of view that was about 100 mm × 80 mm, and hence the magnification was 0.04 mm/pixel. The laser and the camera were operated with a time interval of 20 μs and a sampling frequency of 4 Hz. In a single experiment, 5000 instantaneous velocity fields were recorded (Qinfeng, et,. al. 2021).
A Fastcam Photon SA2 CMOS camera working in conjunction with a laser source continuously captured the change in the shape of the membrane. The camera and the laser setup configuration were exactly the same as for the PIV measurements, while Fig. 10 gives the true picture. The camera had 2048 × 2048 resolution and provided a field of view of 90 mm × 90 mm, which gave a magnification of 0.04 mm/pixel. The laser operated at a power of 8 W and had a wavelength of 532 nm. The shape of the object after the deformation was recognized by the boundary recognition algorithm, and pixel coordinates were transformed into physical coordinates by the calibration process. Thenceforth, the deformation of the flexible upper surface of the wing was observed with the measured section being consistent with the experimental Reynolds number and the results from the velocity measurements, i.e., Re = 5.4 × 10⁴ (Qinfeng, et,. al. 2021).
The figures 11 and 12 are used as time-averaged streamlines, and the red lines are used to show the deformation of the flexible wing’s upper face that is averaged over time. The flexible wing is one in that the flat initial section on the upper surface is caused by the attachment between the rigid leading edge and the flexible membrane. For the rigid wing, its configuration remains unchanged throughout the experiment. The flexible wing results are shown for angles of attack (α) of 6°, 10°, 20°, and 40° i.e., the pre-stall regime, the vicinity of stall, the growth phase of deep stall, and the region near the decline phase of deep stall. Meanwhile, the results for the rigid wing at the same angles of attack are also included to facilitate comparison (Qinfeng, et,. al. 2021).
Reference list of the case study (main post 2).
Qinfeng, G.U.O., Xi, H.E., Zhuo, W.A.N.G. and Jinjun, W.A.N.G., 2021. Effects of wing flexibility on aerodynamic performance of an aircraft model. Chinese Journal of Aeronautics, 34(9), pp.133-142.