Transcript Lecture5

Lecture #5 of 25
Moment of inertia
Retarding forces







Stokes Law (viscous drag)
Newton’s Law (inertial drag)
Reynolds number
Plausibility of Stokes law
Projectile motions with viscous drag
Plausibility of Newton’s Law
Projectile motions with inertial drag
1 :10
Moment of inertia L5-1
R
Given a solid quarter
disk with uniform massdensity s and radius R:

j
O1


r

Calculate I total
Write r in polar coords
Write out double integral,
both r and phi
components
Solve integral
Calculate
2
I CM   r 2 dm   r s (r )dA
I O1
Given that CM is
located at (2R/3, p/4)
Calculate ICM
2 :10
Velocity Dependent Force

  
F  F (r , r , t )  Forces are generally dependent on
velocity and time as well as position
 

 2

Fr (r )  br  cr  Fluid drag force can be
approximated with a linear and a
quadratic term
Ratio
f quad
f lin
is important
drag factor
b = Linear
(Stokes Law, Viscous or “skin” drag)
c
= Quadratic drag factor
( Newton’s Law, Inertial or “form” drag)
3 :15
The Reynolds Number
density 
viscosity 
R
R < 10 – Linear drag
1000< R < 300,000 – Quadratic
R > 300,000 – Turbulent
D
vD
R

inertial (quad ) drag
viscous (linear ) drag
v
4
:20
vD
R

The Reynolds Number II
D
vD
R

R < 10 – Linear drag
Fd
1
2
v

2
CD 
v
1000< R < 300,000 – Quadratic
R > 300,000 – Turbulent
Linear Regime
kD v
CD  1 2
v A
2
density 
viscosity 
1
D

2
 vD Re
Quadratic Regime
CD 
kA  v 2
1
2
1
2
v A
2
k
5
:25
Defining Viscosity

Fdrag
y
A
u xˆ 
y
Fdrag
u
A
y
x
Two planes of Area “A” separated by gap  y
Top plane moves at relative velocity u xˆ

u defines viscosity  (“eta”)
F A
y
2

N

s
/
m
MKS Units of
are Pascal-seconds
Only CGS units (poise) are actually used
2
1 poise=0.1 N  s / m
6
:30
Viscous Drag I

Fdrag
A
u xˆ 
Fdrag
du
  A
xˆ
dy
An object moved through a fluid is surrounded by a
“flow-field” (red).
Fluid at the surface of the object moves along with the
object. Fluid a large distance away does not move
at all.
We say there is a “velocity gradient” or “shear field”
near the object.
We are changing the momentum of the nearby fluid.
This dp/dt creates a force which we call the viscous
drag.
7
:35
Viscous Drag II

Fdrag
D
u xˆ 
Fdrag   k D u xˆ
“k” is a “form-factor” which depends on the
shape of the object and how that affects the
gradient field of the fluid.
“D” is a “characteristic length” of the object
The higher the velocity of the object, the
larger the velocity gradient around it.
Thus drag is proportional to velocity
8
:40
Viscous Drag III – Stokes Law

Fdrag
D
u xˆ


Fdrag  b r

Fdrag   3p D u xˆ
Form-factor k becomes 3p
“D” is diameter of sphere
Viscous drag on walls of
sphere is responsible for
retarding force.
George Stokes [1819-1903] 
(Navier-Stokes equations/ Stokes’ theorem)
9
:45
Falling raindrops L5-2
A small raindrop falls through a cloud. It has a 10 mm
radius. The density of water is 1 g/cc. The
viscosity of air is 180 mPoise.
a) Draw the free-body diagram.
b) Quantify the force on the drop for a velocity of 10
mm/sec.
c) What is the Reynolds number of this raindrop
d) What should be the terminal velocity of the
raindrop?
Work the same problem with a 100 mm drop.
10 :50
Falling raindrops I

Fdrag
, 

mg
z
x
Problems:
A small raindrop falls through a
cloud. At time t=0 its
velocity is purely horizontal.

v0  3 xˆ m / s 2
Describe it’s velocity vs.
time.
Raindrop is 10 mm diameter,
density is 1 g/cc, viscosity
of air is 180 mPoise
Work the same problem with a
100 mm drop.
11 :55
Falling raindrops II

Fdrag



mr  mgzˆ  br
Assume vertical motion
mz  mg  bz
dvz
b
 g  vz
dt
m

mg
z
x
b
b
Define u  g  vz  u   vz
m
m
b

t
b
u   u  u  u (0)e m
m
1) Newton
2) On z-axis
3) Rewrite in terms
of v
4) Variable
substitution
5) Solve by
inspection
12 :60
Falling raindrops III

b
t
m
u  u (0)e
b
mg m
u  g  vz  vz 
 u
m
b
b
b

t
mg m
vz 
 u (0)e m
b b b
mg

t


mg
m  vt 

vz 
1 e 
3pD

b 
3pD

t
mg 
1  e m 
vz 

3pD 

g
 t 

v
vz  v 1  e 




1) Our solution
2) Substitute
original
variable
3) Apply boundary
conditions
4) Expand “b”
5) Define vterminal
13 :05
Stokes Dynamics
14 :10
Lecture #5 Wind-up
. R  vD
.

g
 t 
.

v
vz  v 1  e


mg
vt 
3pD




Read sections Taylor 2.1-2.4
Office hours today 3-5
Registration closes Friday
15 :72