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Maple Seed Performance as a Wind Turbine

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Presentation on theme: "Maple Seed Performance as a Wind Turbine"— Presentation transcript:

1 Maple Seed Performance as a Wind Turbine
Jacob Holden, Thomas Caley, Mark Turner University of Cincinnati SciTech 2015, 1/5/2015 – 1/9/2015 Gaylord Palms Hotel & Convention Center, Kissimmee, Florida - Explain the Single- Bladed Wind Turbine….what are we looking at?

2 Key Findings Betz’ limit for turbine and maple seed performance
Power Coefficient Cp,max = ; Cp,seed = 0.59 Axial induction factor amax = 1/3; aseed = .313 Thrust Coefficient CT,max= 0.89; CT,seed= 0.86 This genetically evolved seed geometry is closer to the optimal coefficient of power than any existing wind turbine design Has time reached a truly optimal design? Context each of the parameters Mention “optimal”…introduce it, then emphasize It later…pose question Transition by saying I will talk about: Motivation Mechanics of autorotation Momentum theory (Betz Limit) Method

3 Why the Maple Seed? Biomimicry – “an approach to innovation that seeks sustainable solutions to human challenges by emulating nature’s time-tested patterns and strategies.” [5] The maple seed performs the task of a wind turbine, harnessing the kinetic energy of a moving fluid to generate lift. [6]

4 Objectives Simulate the natural aerodynamics of a mapleseed with 3D Computational Fluid Dynamics. Analyze the performance of the maple seed as a wind turbine using present wind turbine performance parameters.

5 MAPLE SEED FLIGHT MECHANICS

6 Autorotation (1) Vf = final relative air speed
Vs = initial relative air speed (sinking speed) Vertical velocity components from Norberg [2].

7 Autorotation (2) Resultant velocity vector incident on maple seed LE in autorotation from Norberg [2].

8 PERFORMANCE ANALYSIS

9 1D Momentum Theory and Betz Limit
Used to explain the maple seed in autorotation. Define an axial induction factor Bernoulli’s function gives expression for axial force, a power coefficient can then be determined. [7] Bernoulli’s equation gives expression for power….Normalized by power in wind to get Cp dCp/da =0 gives a_max=1/3

10 Axial Induction Factor vs. Cp
Betz’ theory invalid What happens at a = 0.5 a_max= Cp_max=

11 ROTATION PARAMETERS AND GEOMETRY

12 High Speed Video - Autorotation
16° 3000 frames per second Still images used to estimate coning angle 4 seeds dropped (3 trials each), values averaged ω = 824 RPM (σ = 9.03%) VS = m/s (σ =6.10%) Note that this high speed is not Acer Negundo Video chosen for its quality for presentation purposes

13 3D Geometry Generation 3D solid part model generated.
3D Model CFD Domain 3D solid part model generated. CT Scans by Exact Metrology [1]. Cylindrical duct extruded around seed for solver domain.

14 Rotation Summary Coning angle = 16° VS = 0.739 m/s
Tip Speed Ratio, TSR = (low end of wind turbine range) The Center of Rotation (determined from high speed video) is of particular interest as well. Talk about C.M. and what that means 2 LE Area Variation in radial direction Should have a dimension to seed tip

15 CFD SIMULATION

16 CFD Simulation (1) Star-CCM+ package chosen (CAD, gridding, solver).
Inlet velocity (vertical seed velocity), vd= m/s imposed. Reference frame for rotation imposed with average ω= 824 rpm. Results will focus on rotation reference frame

17 CFD Simulation (2) Mesh Solver Unstructured Prism Layer
Surface Remesher Tetrahedral Mesher 820,649 total cells Reynolds-Averaged Navier-Stokes Three-dimensional Incompressible flow Coupled flow k-ε turbulence model Steady flow Two layer y+ treatment Initial turbulence intensity of 1% Justify why RANS and why k-epsilon Cite paper ******

18 RESULTS

19 Static Pressure Distribution
Static pressure contours on pressure and suction sides from CFD Static pressure distribution leading edge to trailing edge from Norberg [2].

20 Relative Velocity Stream Tubes

21 Leading Edge Vortex Seed profile
Relative tangential velocity isosurface Vtan = m/s Relative velocity stream tubes V_tan isosurface is an indicator of separation (not necessarily a bad thing if flow reattaches Surface around rotational axis EXPLAIN THIS HOW? Seed Profile LE bulge will absolutely cause a separated region after, verified by Vtan isosurface V_rel streamlines twist in a region of separated flow Low momentum particles are influenced more by rotational motion…hence the radial flows at the LE (separation and low v)

22 Stream Tube Boundaries
Flow Direction Rotation Axis Rotation Axis

23 Power Calculation Surface integral of axial velocity (U2) as plane just upstream of seed. a = (94% of max) CP = 0.59 (99.6% of max) amax = 0.333 CP,max = U1 U2

24 Force Balance Net axial force on seed = 4.932 x 10-4 N
Weight of an Acer Negundo seed sample = x 10-4 N 36% difference in axial force (thrust) and weight balance, attributed primarily to the significant variation in different samples of the same species. For avertical =0, Faxial= Wseed

25 Reverse Engineering Airfoil section created from cross-sectional analysis of 3D CT scans. Maple seed blade generated using in house 3DBGB code [8]. Spanwise variation of chord and stagger angle. - Mention that most recent results suggest that the seed body plays a key role in the performance, so future work will include reverse engineering the entire seed (embryo + leaf) Airfoil section 3D Blade Geometry

26 Other Applications The seed’s ability to efficiently dissipate energy suggest it would serve well as a decelerator. Cheap, reliable, and effective deployment potential Air drop to remote locations Reusable 1st stage rockets UAV’s dropped at altitude for one mission MAV applications by MIT and Lockheed Martin [9]

27 Conclusion Interesting, novel, fun, and relatable aerodynamics problem. The maple seed behaves as a wind turbine and operates nearer to theoretical CP and axial induction factor maximums than other turbine geometries. Other techniques such as LES may be necessary for further investigation. Present method was appropriate for investigating potential.

28 Future Work LES to better characterize flow behavior, especially around the embryo (seed base). Explore the influence of embryo and the cross-sectional area variation in the spanwise direction [4]. Use seed geometry as initial solution for and 3D blade optimization. Finite element stress analysis.

29 References Exact Metrology, http://www.exactmetrology.com/
Norberg, R. A. (1973). “Autorotation, Self-Stability, and Structure of Single-Winged Fruits and Seeds (Samaras) With Comparative Remarks on Animal Flight.” Biol. Rev, 48, 561–596. Manwell, J. F., McGowan, J. G., and Rogers, A. L., Wind energy explained : Theory, design and application. Wind Energy. John Wiley and Sons, Inc., 1st edition, 111 River Street,Hoboken, NJ Sairam, K., “The Influence of Radial Area Variation on Wind Turbines to the Axial Induction Factor”. Master’s thesis University of Cincinnati. "What is Biomimicry?" The Biomimicry Institute, Missoula, Montana. [ biomimicry/. Accessed 11/17/14.] D. Lentink, W. B. Dickson, J. L. van Leeuwen, and M. H. Dickinson, Leading-Edge Vortices Elevate Lift of Autorotating Plant Seeds, Science 324, (2009) Ingram, G., October Wind turbine blade analysis using the blade element momentum method version 1.1, Durham University. Siddappaji, K., “Parametric 3d blade geometry modeling tool for turbomachinery systems”. Master’s thesis University of Cincinnati.,


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