Aerodynamic problems in general are often difficult to solve by analytical method. Experimental or numerical simulation can be used to analyze the computational models. However, due to the large expenses required in the experimental method, the numerical method is more preferred. As Computational fl
CFD simulations, analysis and optimal designing of custom wings of aircraft
Aerodynamic problems in general are often difficult to solve by analytical method. Experimental or numerical simulation can be used to analyze the computational models. However, due to the large expenses required in the experimental method, the numerical method is more preferred. As Computational fluid dynamics (CFD) analysis of an aircraft plays a vital role in providing an ideal design of the aircraft. The evaluation of how Computational Fluid Dynamics (CFD) package can be incorporated into a conceptual design method. The repeatability of the CFD solution as well as the accuracy of the calculated aerodynamic coefficients will be implemented. The project is focused on wing design specifically and how the qualitative and quantitative characterization of the wing provides useful information to verify the wing selection and design prior to the time consuming fabrication of aircraft. Minute changes affecting flow characteristics of aircraft, comparison for CFD analysis carried out at various angles of attack for various wing geometries and determination of lift, drag, stall angle and lift-to drag ratio wing is examined in this project
As part of the design for more efficient UAVs, new wing models are implemented looking for a greater aerodynamic efficiency through CFD simulation by calculating the values of aerodynamic coefficients on the airfoil and wing geometry
Implementation of CFD tool and methods to predict the dynamic-fluid behavior of the airfoil at specific flight conditions, as well as some of its main features, such as the stall angle, lift coefficient and Drag coefficient.
Implementation of high lift devices, such as flaps and slats.
To increase the load capacity of the aircraft
Turbulence correction
Cost efficient
To reduce downtime and loss of revenue by decreasing the probability of loss of profits, repair costs, fixed and variable operating costs wasted during downtime, and a myriad of other costs that reverberate throughout the business
Improve speed and quality of the design optimization process
Eliminate the time-consuming, error-prone process of manually evaluating incremental design variations.
Improving the engineer’s insight into fluid flow problems
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| RC Controller | Equipment | 1 | 8500 | 8500 |
| Receiver / Transmitter | Equipment | 1 | 11200 | 11200 |
| External HDD | Equipment | 1 | 8790 | 8790 |
| Programmable Microcontroller | Equipment | 1 | 11500 | 11500 |
| Parameter testing Sensors | Equipment | 8 | 300 | 2400 |
| Balsa Wood | Miscellaneous | 10 | 850 | 8500 |
| Servo motors | Equipment | 5 | 3000 | 15000 |
| Actuators | Equipment | 1 | 2499 | 2499 |
| Wiring | Miscellaneous | 1 | 500 | 500 |
| Manufacturing tools | Miscellaneous | 1 | 500 | 500 |
| Graphi Card | Equipment | 1 | 10000 | 10000 |
| Total in (Rs) | 79389 |
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