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Design/Build/Fly 2015-2016 SU DBF 2015-2016.

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Presentation on theme: "Design/Build/Fly 2015-2016 SU DBF 2015-2016."— Presentation transcript:

1 Design/Build/Fly SU DBF

2 Agenda What is DBF? Team Goals Mission Requirements Selection Matrices
Regional Competition SU DBF

3 What is DBF? Design Build Fly (DBF) is an annual contest run by AIAA Each year features different missions and design requirements 145 teams from around the world have registered so far SU DBF is a student run club where all members work together to accomplish the AIAA missions SU DBF

4 Our Team Goals Syracuse University’s AIAA DBF Club aims to design and manufacture a pair of aircraft to fulfill AIAA’s mission requirements by mid-March while scoring in the top half of submitted written reports and in the top third of mission scores. The club also strives to organize a regional competition so that local universities may present their designs and have a chance to learn from each other. SU DBF

5 Team Structure Chief Engineers Assembly Operations Analysis Testing
Building SU DBF

6 Design Constraints Propulsion Systems
All components must be commercially available Propeller driven and electrically powered NiCad or NiMH batteries must be used Any cell count, voltage, capacity No limit to weight of systems SU DBF

7 Mission 1 Manufacturing support aircraft flight No payload
Must fly 3 laps in 5 minutes SU DBF

8 SU DBF

9 Mission 2 Manufacturing Support Aircraft Payload Delivery Flight
10 minute time limit Carry sub-assemblies of production aircraft internally One lap with each sub-assembly group No limit to number of flights made Production aircraft battery does not need to be carried SU DBF

10 Mission 3 Production Aircraft Flight
Carry a 32 oz Gatorade bottle internally Fly 3 laps in 5 minutes 8.2” 3.7” SU DBF

11 Bonus Mission Production Aircraft Assembly
First three missions must be successful Assemble the production aircraft in 2 minutes along with installation of payload Wing tip test and control systems check SU DBF

12 Scoring Rubric Score = (Report Score * TMS)/RAC TMS = (M1*M2*M3+Bonus)
RAC = (EmptyWeight1*BatteryWeight1*N_Component) (EmptyWeight2*BatteryWeight2) SU DBF

13 Key Design Considerations
Empty weight Battery weight Number of production aircraft sub-assemblies Payload requirements SU DBF

14 Configuration Selection
Aircraft Configuration Wing Configuration Wing Placement Motor Configuration Landing Gear Configuration Tail Configuration SU DBF

15 Figures of Merit SU DBF

16 Aircraft Configuration – Considerations
Monoplane High aspect ratio, low induced drag, relatively easy to build Large wingspan, leads to structural weaknesses due to stress, higher profile drag due to more aerodynamic surfaces SU DBF

17 Aircraft Configuration – Considerations
Biplane More wing area means smaller wings, easier to break down, more lift-providing surface, more stable Requires more connections and support, adding weight and drag SU DBF

18 Aircraft Configuration – Considerations
Triplane High lift, high stability High weight and drag, low maneuverability, very complex SU DBF

19 Aircraft Configuration – Considerations
Flying Wing Great lift/drag ratio, less parts, less connections and weight, easy to make Low reparability, incapable of carrying mission payload unless it’s very large SU DBF

20 Selection Matrices – Aircraft Configuration
SU DBF

21 Production Plane Monoplane Low Wing Double – Tractor Tail Dragger
Conventional Tail SU DBF

22 Production Plane Monoplane Low Wing Single – Tractor Tail Dragger
V – Tail SU DBF

23 Sizing Program Done in MATLAB with a set of functions
With minimal assumptions is able to predict certain aircraft parameters Power needed Score received Weight of Plane Optimization is progressing smoothly SU DBF

24 Sizing Program to Optimization
Sizing program runs assumptions through list of equations to return desired values E.g. finding dynamic pressure, lift coefficient, drag coefficient, total drag, power required, number of batteries in series, number of batteries in parallel, and total weight Optimization graphs were made by plotting a series of values against their imact on RAC Best values minimize RAC Plotted cruising velocity, cruising current, and wing area SU DBF

25 Optimization Graphs The red line in Graph 3 represents the minimum velocity to maintain flight SU DBF

26 Optimization From the given slides, the optimized current, wing area, and velocity would be: 16 Amps 1 square meter wing area Fly at ~10 m/s SU DBF

27 Risk Mitigation Strategies
Airplane Crashes Multiple practice flights Lots of building practice Mediocre Craftsmanship Start practicing building by mm/dd Start with existing designs Subpar Report Start writing sections by mm/dd SU DBF

28 Regional Competition Tentative date: April 2
Tentative location: Rome, NY SU DBF

29 Questions and Comments?
SU DBF


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