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Numerical Modeling of Particle Growth and Collective Gas-Grain Interactions

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Planetesimal Formation: Numerical Modeling of Particle Growth, Settling, and Collective Gas-Grain Interactions S. J. Weidenschilling, Planetary Science Institute – PowerPoint PPT presentation

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Title: Numerical Modeling of Particle Growth and Collective Gas-Grain Interactions


1

Planetesimal Formation Numerical Modeling of
Particle Growth, Settling, and Collective
Gas-Grain Interactions S. J. Weidenschilling,
Planetary Science Institute Cambridge, UK,
Sept 2009
2
Viktor Sergeyevich Safronov11/XI/1917 -
18/IX/1999
  • SSi Monumentum Requiris, Circumspice

3
Outline Numerical Models
  1. Structure of a particle layer in the midplane of
    a laminar nebula, where settling is in
    equilibrium with shear-generated turbulence
  2. Settling with coagulation conditions for growth
  3. Accretion of larger bodies effects of initial
    planetesimal size

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  • Solid bodies are not supported by the pressure
    gradient
  • Any solid body must move relative to the gas
  • Particles move toward higher pressure, i.e.,
    generally inward
  • Radial and transverse velocities are
    size-dependent relative velocity between any two
    bodies can be easily calculated - if they are
    isolated

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Collective Effects
  • Particles settle to form a dense layer in the
    nebular midplane
  • Gravitational instability and collisional
    coagulation both require (for different reasons)
    this layer to be much denser than the gas
  • In such a layer, gas is dragged by the particles,
    and no longer moves at the pressure-supported
    velocity, but closer to the Kepler velocity
  • Relative velocities depend not just on sizes, but
    on the entire population of particles

8
  • Shear between the layer and the surrounding gas
    causes turbulence
  • The thickness of the layer and its vertical
    structure are determined by the balance between
    settling and turbulent diffusion
  • Shear-induced turbulence may halt settling at
    densities too low for gravitational instability

9
Response of the Gas to Particle Loading
  • Nakagawa et al. (1986) derived coupled equations
    particles move inward as gas moves outward
  • Angular momentum is conserved equal and
    opposite radial mass fluxes of particles and gas
  • The solution assumes laminar flow, with local
    balance of momentum at any given level
  • However, turbulent viscosity causes significant
    vertical transport of momentum, affecting the
    radial and transverse velocities of the gas
  • The momentum flux must balance overall, but does
    not hold locally

10
Ekman Length
A characteristic length scale for the thickness
of a turbulent boundary layer of a disk rotating
in a fluid is the Ekman length LE , defined as
LE (?t / ?K)1/2 where ?t is the
turbulent viscosity, and ? ?K is the rotation
frequency. After Cuzzi et al. (1993) we take ?t
(?V/Re)2/?K, where Re 102 is a critical
Reynolds number. This implies LE
?V/(Re?K) where ?V is the velocity difference
between the midplane and large Z. Turbulence
decays over a distance LE.
11
Richardson Number
  • The Richardson number (Ri) is a measure of the
    stability of a stratified shear flow. If a fluid
    element is displaced vertically, work is done
    against gravity and buoyancy, while kinetic
    energy is extracted from the flow due to the
    mismatch of velocity due to the shear. Ri is
    dimensionless, defined as
  • The flow becomes turbulent if Ri lt 0.25.

12
Rossby and Stokes numbers
  • In weak turbulence (Ri 1/4), the eddy frequency
    ??is imposed by the systems rotation frequency,
    ??
  • In strong turbulence (Ri ltlt 1/4), eddies have
    higher frequency, ??????Ro ?K, where Ro 10-102
    is the Rossby number
  • The Stokes number St te /?? where te is the
    response time to the drag force
  • Particle random velocity Vturb /(1St)

13
Vertical Transport of Momentum by Turbulent
Viscosity (Youdin Chiang 2004)
  • Particle concentration is greater nearer the
    central plane, so rotation is faster
  • If the layer is turbulent, viscosity is
    significant
  • The vertical velocity gradient causes upward flow
    of angular momentum
  • Gas in the midplane flows inward, while that near
    the surface of the layer flows outward
  • Inward and outward mass fluxes are equal, but
    higher particle concentration in midplane yields
    net inflow of particles, if particles and gas are
    perfectly coupled

14
Numerical Modeling of Particle Layer
  • Divide layer into a series of levels, with
    assumed particle abundance at t 0
  • Compute radial and transverse velocities of gas
    due to particle-gas momentum exchange, using
    Nakagawa model assume additive for more than one
    size
  • Average velocities over Ekman length
  • Assume turbulent velocity is proportional to the
    velocity difference between local gas and
    particle-free gas, and a function of Ri
  • Turbulence propagates between levels, decaying
    exponentially over Ekman length
  • Assume eddy timescale is a function of Ri such
    that ??varies from ?K to 2 Ro ?K as Ri
    approaches zero

15
  • Compute stress tensor and gas radial velocity due
    to vertical shear
  • Add gas radial velocities due to particle-gas
    momentum exchange
  • Solve for particle radial and transverse
    velocities, generalized to include radial motion
    of gas
  • Compute net radial mass fluxes of particles
    (inward) and gas (outward) should have equal
    magnitudes
  • If particle flux is too large (small), increase
    (decrease) gas velocity due to particle-gas
    momentum exchange and solve again until fluxes
    balance
  • Distribute particles vertically by settling and
    diffusion
  • Iterate until a steady state is reached

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  • Relative velocities in midplane for a mixture
    of mm- and m-sized bodies, vs. mass fraction in
    m-sized bodies

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Collective Effects and Impact Velocities
  • Increased Vrel between small particles due to
    shear-induced turbulence
  • Impact speeds of small particles onto m-sized
    bodies decreased due to smaller ?V ( 10 m/s
    instead of 50 m/s)
  • Continued growth to gt m-size results in
    decoupling, increased ?V, higher impact speeds
    again for small onto large
  • Growth may be limited by erosion, unless gt
    m-sized bodies can accrete each other?

28
  • Inward flux of m-sized bodies causes net
    outward flux of small grains carried with gas
    fast outflow in dense sublayer exceeds radial
    drift in the thicker layer

29
  • Streaming instability and pileups? Effective
    drift velocity varies inversely with surface
    density only for sizes gt decimeter or surface
    density a few times nominal

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Results of Equilibrium Layer Models
  • Relative velocities are not simple functions of
    particle sizes, but depend on the ensemble size
    distribution and abundances
  • Inward and outward flows of gas and particles at
    different Z, even for a single size
  • Multiple sizes result in strong stratification,
    size sorting
  • A small fraction of mass in large bodies can
    cause net outward flow of small particles, with
    radial mixing

32
Models with Coagulation and Settling
  • Vertical layering up to 2 scale heights, finer
    resolution near central plane
  • Logarithmic size bins from d 10-4 cm fractal
    density to 1 cm
  • Relative velocities thermal, differential
    settling, turbulence (alpha, also shear-generated
    in midplane)
  • Gravitational stirring (Safronov number) and
    cross-section for large bodies

33
Impact Outcomes
  • Impact strength S (erg/g) if energy density gt S,
    target is disrupted shattering velocity Vshat
    (2S)1/2
  • If projectile much smaller than target its mass
    added to target mass of escaping ejecta
    proportional to impact energy
  • Excavation parameter Cex such that
  • mex 0.5 Cex mpV2
  • Transition from net gain to erosion at critical
    velocity Vc (2/Cex)1/2

34
  • For perfect sticking, large bodies coagulate
    and settle to central plane in a few thousand
    orbital periods

35
  • ????V 52 m/s, Vturb 0
  • S 105 erg/g, Vshat 4.5 m/s, Vc 10 m/s

36
  • ????V 52 m/s, Vturb 0
  • S 106 erg/g, Vshat 14 m/s, Vc 32 m/s

37
  • ?V 52 m/s, ? 10-5, Vturb 5.3 m/s
  • S 105 erg/g, Vshat 4.5 m/s, Vc 32 m/s

38
  • ????V 52 m/s, Vturb 0
  • S 104 erg/g, Vshat 1.4 m/s, No Erosion

39
Results of Coagulation/Settling Modeling
  • Settling/growth timescale for large bodies
    few x 103 orbital periods
  • If impacts of small particles result in net
    erosion above a critical velocity Vc lt ?V, growth
    can be halted
  • If Vturb is small (? lt 10-5), growth is
    possible even for very low impact strength (104
    erg/g), if erosion is limited (experimental
    data?)
  • Critical parameter Velocity threshold for net
    gain/loss when a small particle hits a much
    larger one?

40
Is There an Observational Constraint on Sizes of
Original Planetesimals?
  • Canonical km-sized planetesimals from Goldreich
    and Ward (1972) model for gravitational
    instability of a dust layer no reason to prefer
    that size
  • Asteroid belt experienced accretion of large
    embryos, dynamical depletion, and 4 Gy of
    collisional evolution, but may retain some trace
    of its primordial size distribution

41
  • Morbidelli et al. (2009)
  • Excitation and depletion of early asteroid belt
    requires accretion of large ( 104 km) embryos
    within a few My
  • Present-day size distribution shows excess of
    100 km bodies relative to a power law of
    equilibrium slope had to have formed early
  • Survival of Vestas crust implies early belt was
    deficient in bodies 10 - 100 km
  • Can accretion produce these features from some
    initial characteristic size?

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Gravitational Accretion Code
  • Multiple zones of semimajor axis 15 zones from 2
    to 3.5 AU
  • Collisions for bodies in overlapping orbits
    impact rates and velocities
  • Gravitational stirring of eccentricities and
    inclinations
  • Accretion, cratering, disruption depend on impact
    energy
  • Logarithmic diameter bins fragments below
    minimum size are lost

44
  • d0 1 km bump is at 10 km

45
  • d0 100 km embryos too small

46
  • d0 10 km too many asteroids 10 km?

47

d0 0.1 km
48
Still To Do
  • Vary initial size from 0.1 km add dispersion
    about the mean
  • Add planetesimals over some interval, instead of
    instantaneously
  • Test behavior if mass ground down into small (lt
    10 m) fragments is recycled into new
    planetesimals instead of lost
  • Planetesimals may have started small!
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