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Title: Robins-Magnus Effect: A New Instability Mechanism


1
Robins-Magnus Effect A New Instability Mechanism
Role of Heuristics In Research
  • Tapan K. Sengupta
  • Department of Aerospace Engineering, IIT Kanpur
  • Others who contributed to this work are Dr. M.T.
    Nair, K. Gupta, Amit Kasliwal, Srikanth B. Talla
    Anurag Dipankar.

2
Presentation Sequence
  • General Problem Definition
  • Historical Note
  • A New Mechanism
  • Current status vis-à-vis computing

3
What is Robins-Magnus Effect?
  • This is the lift force experienced due to
    side-slip or the side force due to cross-flow.
  • The major physical parameters for this problem
    are the Reynolds number and the non-dimensional
    rotation rate given by,

4
X axis
Y axis
Z axis
5
At the beginning Benjamin Robins (1707 1751)
  • Major Achievements
  • gt Fellow of Royal Society at the age of 20.
  • gt Published Principles of Gunnery . (1742).
  • gt Considered the father of Ballistics
    (introduced rifling/ importance of
    drag for trajectory estimation
  • and transonic drag rise).
  • gt Started experimental fluid mechanics
    developed whirling arm and ballistic
    pendulum.
  • gt First Engineer General of East India
    Company.
  • Died in St. David, Madras in 1751. Posthumously,
    his works were published in Mathematical Tracts,
    vols. 1 and 2 by J. Nourse, London (1762)

6
Benjamin Robins Contribution to Experimental
Fluid Mechanics A Whirling Arm device designed
by Robins the progenitor of modern day
wind-tunnels
7
Role of Heuristics Robins-Magnus effect
  • Robins observation (1742) on this effect was
    disputed by Euler, who thought this was due to
    manufacturing defects of the model used.
  • Note that this was discussed in 1745, before
    Eulers equation of hydrodynamics was enunciated
    in 1752 the first mathematical model of fluid
    flow.
  • Euler Heuristically observed A spinning body in
    side-slip (with top-down symmetry) cannot
    experience a lift force.

8
Role of Heuristics Prandtls Role
  • The Robins- Magnus effect was explained by
    Prandtl (1926) based on a steady irrotational
    flow model of hydrodynamics. A typical set of
    results shown next.

9
Steady Irrotational Flow Model
10
Role of Heuristics A maximum limit on lift by
Prandtl
  • Based on STEADY IRROTATIONAL FLOW MODEL Prandtl
    proposed a maximum limit on lift experienced by
    the spinning cylinder.
  • It was reasoned that for spin rate beyond the
    critical value (figure (c)) the two distinct
    domain does not communicate with each other.
  • The location of the full saddle point at the
    lower-most point of the cylinder fixes the lift
    value to

11
Maximum Lift Principle
  • The maximum lift principle seemed inviolable,
    till Tokumaru Dimotakis (JFM, vol. 255,1993)
    reported otherwise.
  • By indirect measurements they reported an excess
    of lift by 20 over the maximum limit for Re
    3800 and O 10.
  • It was conjectured that diffusion, three-
    dimensionality and unsteadiness may be behind
    this violation.

12
Streamline and vorticity contour plots for real
flow for Re 3800 and O 5.0
13
A New Mechanism of Instability
  • Computational results showing the flow
    instability were reported in
  • Sengupta et al. (1998) Moving surface separation
    control for airfoil at high angles of attack. In
    the Proc. of IUTAM symposium on Mechanics of
    Passive and Active Flow Control held at
    Gottingen, Germany (Kluwer Academic)
  • Nair M.T. Sengupta T.K. (1998) Magnus effect at
    high speed ratios. In the Proc. Of 3rd ACFD
    conference held at Bangalore.
  • Nair, Sengupta Chauhan (1998) Flow past
    rotating cylinder at high Reynolds numbers using
    higher order upwind scheme. Computers Fluids,
    vol. 27, 47-70.
  • Sengupta et al. (1999) Lift generation and
    limiting mechanism via unsteady flow development
    for Magnus-Robins effect. In the Proc. Of 8th
    ACFM held at Shenzhen (China). International
    Acad. Publishing, Beijing.
  • Sengupta et al. (2003) Temporal flow instability
    for Magnus-Robins effect at high rotation rates.
    J. Fluids Structures, vol. 17, 941-953.

14
A New Instability Mechanism
15
The instability Mechanism
  • Was this instability seen before?
  • It was noted by H. Werle (1984) in
  • Hydrodynamic visualization of the flow around
    a streamlined cylinder with suction
    Cousteau-Malavard turbine sail model.
  • Recherché Aerospatiale, no. 1984-04
  • Who reported aperiodic instabilities for Re
    3300.
  • In a personal communication Prof. V.J. Modi
    (Univ. of British Columbia) have also confirmed
    observing instabilities while performing
    experiments with circulation control airfoils.
    (See the transcripts next.)

16
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17
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18
Computational Evidences Apart from us, Mittal
Kumar (2003) talk about an instability for low
Reynolds number of 200.
19
For the same Reynolds number, we obtain the
following results for lift, drag and pitching
moment coefficients.
20
What is this Instability, after all?
  • In MK (2003) any time periodicity is construed as
    instability! It is not the same that was reported
    in Werle (1984) or seen by Modi (1998).
  • It was not explained why there is a narrow window
    of rotation rate for instability at Re 200.
  • There was no instability seen for Re 3800.
  • The lift calculated for Re 200 and Re 3800
    are of the same order. This is highly improbable!

21
Results from Mittal (2001)
  • Naturally, the question arises, which of these
    results are correct?
  • We can resolve this by looking closely at the
    numerical methods.

22
Analysis of Numerical Methods
  • This is following the method developed by
    Sengupta et al. (JCP, 2003) and in Fundamentals
    of CFD (Sengupta, 2004), where a spectral method
    is developed for analysis of any discrete
    computational method.
  • We look at (a) the spectral resolution, (b) added
    numerical dissipation and (c) Dispersion Relation
    Preservation (DRP) property.
  • We compare our Compact Difference Scheme (FDM)
    with the Streamline Upwind Petrov- Galerkin
    (SUPG- FEM) scheme to check their effectiveness
    for DNS.

23
Spectral Resolution SUPG-FEM lt--lt-- ??
Compact-FDM
24
Added Numerical Dissipation SUPG-FEM
lt--lt-- ?? Compact-FDM
25
Solution of 1D wave equation bySUPG-FEM
lt-- lt-- ? ? Compact-FDM
26
Animation of streamlines
27
Animation of Streamlines
28
Vorticity Animation (Total field)
29
Vorticity Animation (Near field)
30
On Abuse of Numerical Simulations
  • Environmental problems are often managed by
    specialists in simulations, that is to say,
    people whose competence is more in the area of
    computer programming than in interpreting
    scientific data. Large computers can produce
    predictions that look quite credible even though
    the numerical outputs may be deficient. That is
    one great evils of our time. The strength of
    numbers bolstered by the power of images is
    enough to sustain in the public an irrational,
    quasi-mystical mind-set.
  • Pierre-Giles de Gennes Jacques Badoz (in
    Fragile Objects, 1996)

31
The Physical Instability Mechanism
  • The instability seen in this flow-field is due to
    interaction of vortices at large distances of
    separation- as clearly evidenced in the vorticity
    animation.
  • The theory behind this phenomenon has been
    reported in Sengupta et al. (2003)
    Vortex-induced instability of an incompressible
    wall-bounded shear layer (JFM, 493, pp 277-286)
    based on some experiments performed at NUS (to
    appear in Expts. in Fluids (2004)).
  • We developed an energy based instability
    equation.

32
The Instability Mechanism
  • Starting from the governing Navier-Stokes
    equation, one can look at the rotational part of
    the flow field and obtain an equation for the
    instantaneous distribution of disturbance energy
    as given below

33
The Instability Mechanism
  • The right hand side of the Poisson equation
    represents either source/ sink of energy. A
    negative right hand side implies instability
    (growth of disturbance energy).
  • Thus, it is instructive to look at the evolution
    of the right hand side with time to look for
    instability.
  • We show a short animation of r.h.s. of the
    Poisson equation next.

34
Contour Plot of R.H.S.
35
Quo Vadis ?
  • A new instability shows that a spinning body
    experiences discontinuous aerodynamic loads.
  • For a spinning projectile or sports ball this may
    explain the subtle variation of trajectories-
    specially when the net force and moment change
    abruptly.
  • For example, for the rotating cylinder at a
    Reynolds number of 200 the variation in the
    direction of the net force is shown next.

36
Deviation of Aerodynamic Force Direction with
Time During Instability
37
Trajectories of Projectiles and Sports Balls
  • We have only discussed the motion past
    cylindrical bodies. Hence, these results directly
    apply to motion of projectiles in the cross flow
    plane. The parameter ranges are relevant for this
    to occur in real life.
  • However, the physical mechanism is one of
    vortex-induced instability- that might be present
    for spherical bodies as well. This has not been
    done, so far.
  • Specially, for sports balls, the relevant
    Reynolds numbers are rather large (roughly 1000
    per kmph speed) and the corresponding flow will
    be turbulent where the likelihood of
    vortex-induced instability is more pronounced.

38
Future work
  • We are interested in flow control of bluff-bodies
    using different strategies.
  • We are starting work on drag reduction for
    bluff-body flows using GA as a viable tool with
    KanGAL.
  • The vortex-induced instability phenomenon- being
    a by-pass transition depends sensitively on
    back-ground disturbance environment- an aspect
    not investigated properly. We plan to start some
    preliminary experiments to verify and
    characterize the presented results.
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