Viscous Flow Around Metal Spheres Terminal Velocity and Acceleration Profile as a Function of...
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Viscous Flow Around Metal Viscous Flow Around Metal SpheresSpheres
Terminal Velocity and Terminal Velocity and Acceleration Profile as a Acceleration Profile as a
Function of RadiusFunction of Radius
IntroductionIntroduction
• Characterize Characterize viscous flow viscous flow around a spherearound a sphere
• Find dependence Find dependence of terminal velocity of terminal velocity on radiuson radius
• Find dependence Find dependence of acceleration of acceleration profile on radiusprofile on radius
IntroductionIntroduction
• Classical problem in fluid dynamicsClassical problem in fluid dynamics
• Special flow regime called Stoke’s Special flow regime called Stoke’s FlowFlow– Viscous forces dominate the flowViscous forces dominate the flow
• Often used to determine fluid Often used to determine fluid viscosityviscosity
Our Experimental SetupOur Experimental Setup
• Graduated cylinder Graduated cylinder filled with glycerinfilled with glycerin
• Different sizes of Different sizes of metal ballsmetal balls
• Digital CamcorderDigital Camcorder
Experimental SetupExperimental Setup
• 6 different sized steel balls6 different sized steel balls
Experimental SetupExperimental Setup
Experimental SetupExperimental Setup
A video data file of the 6.35mm A video data file of the 6.35mm ballsballs
Theoretical ModelsTheoretical Models
• Terminal VelocityTerminal Velocity
Dimensional Analysis of a Metal Ball Falling in a Viscous Fluid
Adding all the forces gives us an equation for the acceleration:
x t( ) F g F b F dF gF g = 4
3r3 o
g F d 1( )
with the initial conditions: x 0( ) x 0( )xx = 0
The goal is to find the terminal velocity
tx t( )limand how it scales with fluid viscosity
and radius of the ball.
x t( ) constant implies that x 0xx and F d4
3r3 o
grr 2( )
The goal here is to find the relationship between F d and x .
= viscosity of fluid [] = M
L T
r = radius of ball [r] = L
F d = drag force [ F d ] = M L
T2
x = velocity [ x ] = L
T
Suppose F d F d x r M L
T2
La
TaLb Mc
Lc Tc
aayields a = b = c = 1
or F d x r 3( )
Plugging (2) into (3) x r 4
3r3 o
grr
x K r2rr where K4
3 o
g
Anticipated terminal velocity v. radius.Anticipated terminal velocity v. radius.
0 5 10 15 20 25 30 35 40 450
100
200
300
400
500
600
700
800
900
Radius Squared (mm2)
Term
nial
Vel
ocity
(
m/s
)Velocity versus square of radius
Theoretical ModelsTheoretical Models
• Acceleration ProfileAcceleration Profile
Theoretical ModelsTheoretical Models
Theoretical ModelsTheoretical Models
Theoretical ModelsTheoretical Models
Theoretical ModelsTheoretical Models
Theoretical ModelsTheoretical Models
••Newton’s Law givesNewton’s Law gives
••Drag Force = Weight – BuoyancyDrag Force = Weight – Buoyancy
••Stokes’ Law => Drag Force = 6Stokes’ Law => Drag Force = 6aUaU
••Velocity = Velocity = (M - 4/ 3(M - 4/ 3 a a33 fluidfluid) g) g /(6 /(6 a) a)
••Velocity = Velocity = 2 a2 a22 g ( g (spheresphere - - fluidfluid)/ 9)/ 9••Velocity = Velocity = (Size, Material, Fluid Properties)(Size, Material, Fluid Properties)
Theoretical ModelsTheoretical ModelsNavierNavier-Stokes Analysis-Stokes AnalysisMomentum & Continuity Momentum & Continuity EqnsEqns
Theoretical ModelsTheoretical ModelsNavier Stokes AnalysisNavier Stokes AnalysisNon-dimensionalizing the Non-dimensionalizing the EqnsEqns
Theoretical ModelsTheoretical ModelsFor Stokes Flow Re<<1For Stokes Flow Re<<1So the Equations simplify toSo the Equations simplify to
Theoretical ModelsTheoretical ModelsNavier Stokes AnalysisNavier Stokes Analysis
Theoretical ModelsTheoretical ModelsAnalytical Soln for the Analytical Soln for the SphereSphere
Theoretical ModelsTheoretical ModelsThe Analytical Expression The Analytical Expression for Drag Force F matches for Drag Force F matches Dimensional AnalysisDimensional Analysis
Stoke’s LawStoke’s Law
Results & AnalysisResults & Analysis
• Used video from camcorder to find Used video from camcorder to find experimental speedsexperimental speeds
• Calculated theoretical speeds using Calculated theoretical speeds using modelmodel
• Compared:Compared:– ExperimentalExperimental– TheoreticalTheoretical– Predicted Scaling Rate from Dimensional Predicted Scaling Rate from Dimensional
Analysis (V ~ r^2)Analysis (V ~ r^2)
Results & AnalysisResults & Analysis
Results & AnalysisResults & Analysis• Error sourcesError sources
– Viscosity is a function of temperature!Viscosity is a function of temperature!
Viscosity of Glycerin vs. T
0
0.2
0.4
0.60.8
1
1.2
1.4
1.6
20 25 30 35 40
Temp, C
Vis
cosi
ty,
Pa*
s
Results & AnalysisResults & Analysis
• Error Sources (cont.)Error Sources (cont.)– Bubbles effectively reduce viscosity Bubbles effectively reduce viscosity
when they’re in a ball’s pathwhen they’re in a ball’s path– Bubbles effectively increase buoyancy Bubbles effectively increase buoyancy
when they’re piggybacking on a ballwhen they’re piggybacking on a ball– Sidewall effects (disruption of flow lines)Sidewall effects (disruption of flow lines)– Instrument resolution (time and Instrument resolution (time and
distance)distance)
Results & AnalysisResults & Analysis
• Velocity Profile AnalysisVelocity Profile Analysis– Terminal velocity reached for smallest Terminal velocity reached for smallest
ball in 0.007 seconds, faster than ball in 0.007 seconds, faster than camera.camera.
– Reached for largest ball in 0.303 second, Reached for largest ball in 0.303 second, but times and distances involved were but times and distances involved were still too fast:still too fast:
Results & AnalysisResults & Analysis
Results & AnalysisResults & Analysis
ConclusionConclusion
• Experimental terminal velocity matches Experimental terminal velocity matches with dimensional analysis and with dimensional analysis and theoretical modeltheoretical model– significant errors due to temperature and significant errors due to temperature and
other effectsother effects
• Acceleration profile cannot be measured Acceleration profile cannot be measured with current equipmentwith current equipment– resolution is too low relative to phenomena resolution is too low relative to phenomena
to be observedto be observed