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Scaling Down - The Optimal Choice? Fritz B. Prinz Departments of Mechanical Engineering and Materials Science and Engineering Stanford University Stanford, CA 94 305

Scaling Down - The Optimal Choice?

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Scaling Down - The Optimal Choice?. Fritz B. Prinz Departments of Mechanical Engineering and Materials Science and Engineering Stanford University Stanford, CA 94 305. Outline. Scaling laws Physics Engineering performance (power, power density) Mechanical tolerances - PowerPoint PPT Presentation

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Page 1: Scaling Down - The Optimal Choice?

Scaling Down - The Optimal Choice?

Fritz B. PrinzDepartments of Mechanical Engineering

and Materials Science and Engineering

Stanford University

Stanford, CA 94 305

Page 2: Scaling Down - The Optimal Choice?

Outline

• Scaling laws– Physics

– Engineering performance (power, power density)

– Mechanical tolerances

• Manufacturing Processes• Examples

– Turbine engine

– Mites (millimeter sized flaps)

– Mesicopter

Page 3: Scaling Down - The Optimal Choice?

A World Apart

Surface

Volume

l 2

l 3

1

l

104 - 102 10-4mm-1 10-1mm-1

Page 4: Scaling Down - The Optimal Choice?

Scaling of Strength and Stiffness

Ff

fA Failure Load

Ff

m

Ff

W 1

lFailure Load per Weight

SB

W 1

l 2Bending Stiffness per Weight

Beam S CEI

l 3

Page 5: Scaling Down - The Optimal Choice?

Scaling of Moving Objects

• Find relation between:

–Mass m

–Length l

–Time t

Page 6: Scaling Down - The Optimal Choice?

Physics of Scaling(forget heat loss)

E T U

2

2lmT

U U(l) U( l ) kU( l )

2)(

2

2

2 lmlT

l l t t

Page 7: Scaling Down - The Optimal Choice?

Scaling of Length and Time

2

2 k t

t

l

l

1 1

2k

k = 2 elasticK= -1 electro - static motor, gravity (Kepler’s third law)

t

t

l

l

3/2

Page 8: Scaling Down - The Optimal Choice?

Scaling of Mass

m l 3For v << c

m m0 1Ý r 2

c2Relativisitic:

Page 9: Scaling Down - The Optimal Choice?

Scaling of Power

P mass* acceleration * speed

P l 3 l

t2

l

t

l5

l3 3

2k

P

V

l 2

l3 3

2k

Page 10: Scaling Down - The Optimal Choice?

Electro Static Motors

In theory: k 1

P l1

2

P

Vl

5

2

Assuming all dimensions e.g. gaps can be scaled down

Page 11: Scaling Down - The Optimal Choice?

Constant Field

E U / l

E = constant

In practice: k 0

P l 2

P

Vl 1

Page 12: Scaling Down - The Optimal Choice?

Scaling of Critical Dimensions?

Electro static /magnetic motors

Tolerance l

ll

Page 13: Scaling Down - The Optimal Choice?

A Manufacturing Issue

l Determined by manufacturing process

l

lDetermines quality of machine

10 5 Traditional mechanical machines

10 2 Integrated circuits

P

V

1

lEven May not be

achievable

Page 14: Scaling Down - The Optimal Choice?

Turbine Combustion Engines Power Density (1/l) - Thrust to Weight

T/W = 5.6 T/W= 7.6

Page 15: Scaling Down - The Optimal Choice?

M-Dot Micro Engine for Drone Aircraft

0

5

10

Thrust (N)

950

1000

1050

1100

1150

1200

1250

Operating Temp. (OC)

0

2

4

6

8

10

12

14

Thrust-to-weight ratio

0

10

20

30

40

50

60

70

80

90

Weight (g)

Current (metal) design Design incorporating ceramics

Page 16: Scaling Down - The Optimal Choice?

From RP and CNC to . . .

2000

1960

1990Shape Deposition Manufacturing ( SDM)

RP CNC

Page 17: Scaling Down - The Optimal Choice?

Mold Shape Deposition Manufacturing

– Builds wax molds via SDM using Soldermask temporary part material

– Gel cast ceramic slurry into

– sacrificial mold

Page 18: Scaling Down - The Optimal Choice?

Ceramic Inlet Nozzle

Fully dense Silicon Nitride

RMS ~ 0,5 micro meter

Strength ~ 400 - 600 Mpa

as sintered

Page 19: Scaling Down - The Optimal Choice?

‘Shape Assembled’ Mechanism

crank rod piston

Page 20: Scaling Down - The Optimal Choice?

Micro Flaps for Aero Elastic Control• Maximize flight time of Unmanned Air Vehicle (UAV)

Front view

Page 21: Scaling Down - The Optimal Choice?

Suggested Solution• Aeroelastic control using trailing edge effects

– Concept

• Span-wise lift control via micro-flaps

Micro-flaps

Page 22: Scaling Down - The Optimal Choice?

Approach• Design & Manufacture Micro-flaps

Small size (6 mm)Large deflection (± 75°)Frequency (10s HZ)Material strength

Requirements

Airfoil

Flap Surface

6 mm

Page 23: Scaling Down - The Optimal Choice?

Actuating Mechanism

Page 24: Scaling Down - The Optimal Choice?

Build Sequence in SDM

32

654

1

Page 25: Scaling Down - The Optimal Choice?

SDM Fabrication of Multiple Flaps

Page 26: Scaling Down - The Optimal Choice?

Micro Flap for Aero - Elastic Control

Clearance ~ 50 micron

Page 27: Scaling Down - The Optimal Choice?

The Mesicopter: a Miniature Helicopter

Page 28: Scaling Down - The Optimal Choice?

Aerodynamics

• New results for very low Re airfoils

• Very thin sections required

• Maximum lift increases as Re decreases below 10,000

Page 29: Scaling Down - The Optimal Choice?

Rotor Optimization

• Chord, twist, RPM, blade number designed using nonlinear optimization

• 3D analysis based on Navier-Stokes section data

• Rotor matched with measured motor performance (50 000rpm)

Page 30: Scaling Down - The Optimal Choice?

Aerodynamics

• Navier-Stokes analysis of rotor sections at unprecedented low Reynolds number

• Novel results of interest to Mars airplane program

• Nonlinear rotor analysis and optimization code

Page 31: Scaling Down - The Optimal Choice?

SDM Rotor Manufacturing

1. Micro-machine bottom surface of rotor on wax 2. Cast epoxy

3. Remove excess epoxy

4. Machine top surface of rotor

5. Melt wax

Page 32: Scaling Down - The Optimal Choice?

Scaled Down Mesicopter

• Insect-Scale Aerodynamics

• 3D Micro-Manufacturing

• Power / Control / Sensors

Page 33: Scaling Down - The Optimal Choice?

Mesomotor

REM-Aufnahme des 2mm-Motors

Explosions-ansicht des

Motors

Rotor

Stator

Anker-spule

Page 34: Scaling Down - The Optimal Choice?

Shaping of Electrodes

+ -

Sputtering of seed layer

SEM Micro-graph ofetchedsilicon

Plating

SEMMicro- graph of plated electrode

Page 35: Scaling Down - The Optimal Choice?

EDM of Amorphous MetalsElectro Discharge Machining

Page 36: Scaling Down - The Optimal Choice?

Massively Parallel Mechanical Systems

One Electro Static Motor Many Electro Static Motors