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    IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 36, NO. 5, OCTOBER 2008 2459

    Modeling Electrostatic Levitation of Dust Particles on Lunar Surface

    Joseph Wang, Xiaoming He, and Yong Cao

     Abstract—This paper presents a simulation model on electro-static levitation of lunar dust particles in the lunar terminatorregion. Full-particle particle-in-cell simulations are carried outusing real ion to electron mass ratio to obtain plasma sheath,surface charging, and the transition point of surface electric field.Test particle simulations are carried out to simulate the levitationof dust particles from lunar surface. Results show that the dust lev-itation condition in the terminator region is sensitively influencedby the ambient plasma condition and surface charging, and thelevitation altitude varies significantly even for small changes of thesun elevation angle.

     Index Terms—Electrostatic levitation of dust particles, full-

    particle particle-in-cell (PIC), lunar dust charging, lunar surfacecharging.

    I. INTRODUCTION

    DUST CLOUDS suspended above the lunar surface were

    first observed as horizon glow by the Surveyor spacecrafts

    [1] and later by the Apollo astronauts [2]. Dust “storms”

    were observed by the Lunar Ejecta and Meteorite experiment

    deployed during the Apollo 17 mission [3]. Dust “streamers”

    reaching from tens to hundreds of kilometers above the lunar

    surface were also observed by Apollo 17 astronauts from the

    lunar orbit [4]. It is well documented that lunar dust can cause

    significant problems for spacecraft and/or astronauts on extra-vehicular activities, ranging from vision obscuration, false

    instrument reading, clogging of equipment, seal failures, con-

    tamination of surface leading to thermal control problems, and

    abrasion of space suits to breathing problems and potential

    long-term respiratory problems for astronauts on the moon [2].

    The dust environment near lunar surface is determined by

    the dynamic processes that levitate and transport dust particles.

    While micrometeoroid impacts and/or disturbances by human

    activities can also contribute to the liftoff of dust grains from

    the lunar surface, electrostatic levitation is generally accepted

    as the primary mechanism (see, for example, [5]–[8] and

    references therein). The lunar surface is electrically charged

    due to the impingement of the ambient plasma, the emission

    of photoelectrons under sunlight and secondary electrons, and

    the collection of backscattered electrons. For lunar surface

    Manuscript received February 9, 2008; revised June 23, 2008. First publishedOctober 31, 2008; current version published November 14, 2008. This work was supported in part by the Jet Propulsion Laboratory (JPL) and in partby NASA Marshall Space Flight Center (MSFC). The work of X. He wassupported in part by an NSF Grant DMS-0713763.

    J. Wang and X. He are with Virginia Polytechnic Institute and State Univer-sity, Blacksburg, VA 24061-0203 USA (e-mail: [email protected]).

    Y. Cao is with Harbin Institute of Technology, Harbin 150001, China.Color versions of one or more of the figures in this paper are available online

    at http://ieeexplore.ieee.org.Digital Object Identifier 10.1109/TPS.2008.2003016

    material, the contributions of the secondary and backscattered

    currents to surface charging are much less than that from the

    ambient plasma and photoelectron currents [9], [10]. Hence, the

    local surface potential Φs  is determined by the following localzero net current condition:

    I sw,i(Φs)− I sw,e(Φs)− I pe(Φs) = 0   (1)

    where   I sw,i,   I sw,e, and   I pe   are the ambient ion current andelectron current, and the photoelectron current emitted by lunar

    surface, respectively. A dust particle resting on the charged

    lunar surface can also become charged by several mechanisms,such as induced charging due to surface electric field, charging

    by contact potential difference, triboelectrification, and charg-

    ing by ambient plasma and photoelectron emission. Dust grains

    will be levitated if the dust and surface are like-charged and

    the repulsive electrostatic force between dust and surface is

    sufficiently large to overcome the gravitational force F g and thesurface adhesive force F c  on the dust grain

    QdE s  ≥ F g +  F c   (2)

    where Qd is the dust charge and E s is the local surface electricfield.

    This paper presents a modeling study of electrostatic levita-tion of dust particles initially resting on lunar surface. As the

    day-side region near the lunar terminator is currently consid-

    ered a potential area to establish lunar landing sites and lunar

    outposts, the results presented in this paper will specifically

    focus on dust levitation in that region.

    Electrostatic levitation of dust particles is closely related to

    the problem of lunar surface charging, as the electric field and

    the plasma sheath near lunar surface largely determine whether

    electrostatic levitation would occur and how high the dust

    particle would be elevated. The condition for electrostatic dust

    levitation (2) is expected to be particularly sensitive to surface

    charging in the day-side region near the lunar terminator wherethe transition from sunlight-driven positive surface potential

    to the plasma-charged negative surface potential occurs. The

    transition from photoelectron sheath to plasma sheath and the

    ambient plasma flow will result in a complicated electric field

    near the lunar surface, which may vary significantly even for

    small changes in the sun elevation angle. Hence, an accurate

    solution of the electric field and sheath near the surface is

    critical in determining the dust levitation condition.

    Several modeling studies have considered lunar surface

    charging [11] and electrostatic levitation of dust particles on the

    moon and on asteroids [12]–[16]. All of these studies applied

    the standard analytical charging calculation [17], where the

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    Fig. 1. Model setup.

    charging currents I sw,i, I sw,e, and I ph are expressed as analyti-cal functions of  Φs by assuming that the ambient electrons andions, and the photoelectrons remain in Maxwellian distribution

    near the surface, and so, the lunar surface potential  Φs  can be

    solved directly from (1). The limitations of such an analyticalapproach are well known. For instance, this approach is typ-

    ically not sufficient for solving plasma interactions involving

    high-voltage surface, current-emitting surface, or high-speed

    plasma flow. The analytical approach also cannot be easily

    extended to more realistic problems with complex boundary

    conditions.

    In this paper, a full-particle particle-in-cell (PIC) simula-

    tion model is developed for lunar surface charging. In this

    model, all plasma species (ambient proton and electron, and

    photoelectron) are modeled as macroparticles. PIC simulations

    are carried out using the correct ion to electron mass ratio to

    preserve the correct mesothermal velocity ratio in plasma flow.The electric field, space charge, charged particle trajectories,

    and lunar surface charging are solved self-consistently. The

    electric field obtained from full-particle PIC simulation is then

    used in a test particle model for dust grains to study dust

    levitation. Section II discusses the problem setup and the sim-

    ulation models for lunar surface charging and dust levitation.

    Section III presents simulation results. Section IV contains a

    summary and conclusions.

    II. FORMULATION AND A PPROACH

    The problem setup is shown in Fig. 1. We consider lunar dust

    particles initially at rest on lunar surface under typical solarwind plasma conditions. The solar wind plasma impinges the

    lunar surface at a small sun elevation angle  α  with respect tothe surface. The sunlight direction is taken to be the same as

    the solar wind flow direction. This problem is simulated using

    a two-step approach. First, a full-particle PIC code is applied

    to solve the plasma sheath and lunar surface charging. Second,

    a test particle model is applied to simulate single dust particle

    dynamics. This section discusses the interaction characteristics

    and the simulation models.

     A. Modeling Lunar Surface Charging

    We first consider the plasma interaction between lunar sur-face and the solar wind. The solar wind is a tenuous relatively

    hot plasma which flows radially outward from the sun. Its

    parameters may undergo substantial variation, but the mean

    observed values of plasma parameters which are relevant to this

    study at 1 AU are as follows [18]: solar wind flux  nswV sw  3.8× 108/cm2 · s1, solar wind density nsw   8.7 cm

    −3, solar

    wind flow speed  V sw   468 km/s, solar wind ion temperature

    T i   10 eV, solar wind electron temperature  T e   12 eV, andsolar wind magnetic field magnitude Bo   6.2 nT. From theseparameters, we find that the plasma flow on lunar surface is

    mesothermal, vti   V sw   vte, where vti and  vte are the solarwind ion and electron thermal velocity, respectively. The effect

    of the magnetic field on solar wind flow may be ignored for

    modeling local charging problem because the gyro-radius of 

    both the ions and electrons is larger than the typical scale length

    considered here.

    For lunar surface under sunlight, the number density of the

    emitted photoelectrons at lunar surface can be estimated from

    [14]   npe0 = 2I ph0 sin(α)/(evt,pe), where   I ph0   4.5   µA/m2

    is the photoelectron emission current at lunar surface [10]

    and   vt,pe   is the photoelectron thermal velocity. The averagephotoelectron temperature is  T ph   2.2  eV [10]. Assuming aMaxwellian distribution for photoelectrons, the number density

    associated with the photoelectrons emitted at lunar surface is

    npe0   64 sin(α)/cm3.   (3)

    Hence, the Debye length associated with the emitted photoelec-

    tron is λD,ph   1.37/ 

    sin(α) m. As the sun elevation angle αdecreases, the plasma sheath transitions from the photoelectron

    sheath to that dominated by the solar wind plasma when the

    Debye length associated with the emitted photoelectrons be-

    comes larger than the solar wind Debye length  λD,sw. Underthe mean solar wind density, λD,sw   8.7 m, and thus, λD,ph >λD,sw   for   α

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    TABLE ITYPICAL SOLAR WIN D CONDITIONS

    the lunar surface at each PIC step as a one-sided stationaryMaxwellian distribution. As the lunar soil is a dielectric ma-

    terial, when an ion or electron impinges the lunar surface, its

    charge is deposited to the surface at the impact location. When

    a photoelectron is emitted from the lunar surface, a positive

    charge corresponding to the photoelectron is also deposited to

    the surface.

    The electric field is solved self-consistently with the space

    charge of the particles from the Poisson’s equation

    ∇ · (0∇Φ) = −e(ni − ne − nph)   (4)

    where ni,  ne, and nph  are the number densities of solar windion, solar electron, and photoelectron, respectively, and aredetermined from particle trajectories. The trajectory of each

    charged particle is determined from the self-consistent electric

    field and the Newton’s second law

    d

    dt(mv) =  F  =  q E,   v =

     dx

    dt .   (5)

    The potential of the lunar surface Φs is updated at each PIC stepfrom the charge deposited at lunar surface  ρs

    ∇ · (d∇Φs) = −ρs   (6)

    where d  is the dielectric constant of the lunar soil. The linearsystem from the finite-difference implementation of (4) and (6)

    is solved using the preconditioned conjugate gradient method.

    When the PIC cycle reaches the steady state, the lunar surface

    potential calculated from (6) and the collection calculated from

    macroparticle deposition satisfy the local current balance con-

    dition (1).

     B. Modeling Dust Particle Levitation

    We next consider the levitation of dust grains which are

    initially at rest on the lunar surface. The dust grains are assumed

    to be spherical particle with radius rd, and the dust mass densityis taken to be the same as that of the lunar soil  ρd   2.65 g/cm

    3.

    A test particle model is developed to simulate dust dynamics

    using Newton’s second law

    F =  M ddv

    dt  = QdE−M dg   (7)

    where M d  and Qd  are the dust charge and mass, respectively,and   g  = 1.67   m/s2 is the gravitation constant of the moon.The simulation domain and mesh are the same as that of 

    the PIC model for lunar surface charging. The electric field

    E   is obtained from the output of the PIC simulation and is

    interpolated to the dust position from the PIC mesh points usingthe same PIC interpolation scheme. Note that this approach is

    valid only for the dust-in-plasma condition, where a dust grainis mostly isolated from its neighboring dust grains because

    the effects from charged dust particles on the sheath and the

    coupling between charged dust particles are not included. As

    the PIC simulation domain is taken to be sufficiently large to

    contain the plasma sheath,  E 0  in the region outside of thedomain boundary. Hence, when a dust particle moves out of the

    PIC simulation domain boundary, subsequent dust dynamics is

    calculated analytically from dv/dt = −g.Various charging mechanisms, such as induced charging by

    surface electric field, charging by contact potential difference,

    and charging by ambient plasma and photoelectron emission,

    will contribute to the charging of a dust grain on lunar surface.

    No theoretical or empirical models currently exist that can be

    directly applied to model all of these charging mechanisms. For

    instance, existing models of induced charging due to electric

    field and charging due to contact potential difference only apply

    to metallic particle resting upon a metal surface. The commonly

    used plasma charging model for a single dust grain based on

    the orbital motion limited (OML) theory for spherical probe is

    also not directly applicable for a dust-on-surface or for closely

    packed dusts. Many laboratory experiments have been carried

    out to study the charging properties of lunar dust simulant

    [5]–[9]. However, existing data are mostly for relative large-

    size dust grains with   rd   in the range of   10−102 µm. The

    development of a charging model for dust-on-surface which canaccount for all the charging mechanisms leading to the initial

    charging is clearly beyond the scope of this paper.

    Regardless of the detailed initial charging process for a

    dust-on-surface, electrostatic levitation will occur once a dust

    particle has accumulated sufficient charge to satisfy the dust

    levitation condition [see (2)]. For simplicity, we shall ignore the

    surface adhesive force F c. Hence, the dust charge that satisfies(2) is given by

    Qd  ≥ Qd,min =  M dg

    E s(8)

    where E s is the electric field on lunar surface. Note that  Qd,mindiffers for different sun elevation angles and different solarwind conditions.

    In this paper, we shall consider two simplified models for

    dust charging. As dust levitation will occur as soon as a dust

    has accumulated sufficient charge such that the electrostatic

    force balances the gravitational force, the first model assumes

    that the initial charge for a dust-on-surface is given by  Qd,minin (8). Hence, in the first model, the initial dust charge  Qd   ismodeled as

    Qd = (1 + δ )Qd,min = (1 + δ )M dg

    E s(9)

    where  δ   1  provides the initial dust acceleration. As a dustgrain in contact with the lunar surface will most likely have the

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    same potential as the lunar surface, the second model assumes

    that the dust grain is completely charged and the dust grain

    potential  Φd   is the same as the local lunar surface potential,Φd  = Φs. Such an assumption is also used in [16]. Hence, inthe second model, the initial dust charge is given by

    Qd =  C Φd  = 4πordΦs.  (10)

    Both of these models will be applied in dust levitation simula-

    tions in the next section. Once a dust is levitated from the sur-

    face, subsequent dust charging may be calculated from current

    collection by dust. A commonly used approach is to assume

    single dust grain charging and that the current collection by dust

    can be calculated by the OML theory. We found that the single

    dust grain charging model does not change the dust charge sig-

    nificantly during the initial dust levitation process, and hence,

    we shall ignore the changes on dust charge in this paper.

    III. RESULTS AND D ISCUSSIONS

     A. Plasma Sheath and Lunar Surface Charging

    This section presents PIC simulations of lunar surface charg-

    ing under typical solar wind conditions. The solar wind plasma

    parameters used in the simulation, shown in Table I, are taken

    from the range of the observed values listed in [18]. In Table I,

    the first set parameters are the mean observed values of the solar

    wind parameters in [18] and will be referred to as the “mean

    flux density” condition. For comparison, in the second set, both

    the solar wind flux density and number density are taken to be

    at the 5% range of the observed values in [18]. The second set

    will be referred to as the “5% flux density” condition. Modest

    variations in these parameters should not lead to qualitativechanges in lunar surface charging.

    Full-particle PIC simulations were performed for sun eleva-

    tion angles in the range of   0◦ ≤ α ≤ 10◦. The simulation isrun until the lunar surface potential reaches the steady state.

    In order to resolve the plasma sheath correctly, the cell size

    needs to be sufficiently small so the Debye length associated

    with the higher density photoelectrons near the lunar surface

    can be resolved and the domain size needs to be sufficiently

    large so the plasma at the simulation boundary representing

    the infinity is undisturbed. We choose the cell size to be the

    same as the photoelectron Debye length at the subsolar point,

    λD,ph(90

    )

    1.37   m. Note that the cell size is significantlysmaller than the photoelectron Debye length for small sun ele-vation angles. The domain size is determined through test runs

    to ensure that the results are not affected by domain boundary.

    In order to preserve the correct mesothermal velocity ratio in

    the solar wind plasma flow, PIC simulations were carried out

    using the real proton to electron mass ratio  (mi/me  = 1836).Simulations were performed typically using ∼100 particles/cell

    for each species, and the total number of macroparticles is about

    6–7 million. For the results presented here, each simulation run

    typically requires about 20–36 CPU hours on a desktop PC with

    dual AMD Opteron 2.4-GHz processor.

    For the problem setup shown in Fig. 1, where we consider a

    solar wind plasma flow at a fixed  α, the potential and plasmadensity vary only along the z-direction. Fig. 2 shows the poten-

    Fig. 2. Potential profile versus distance from lunar surface. (a) Mean flux solarwind condition. (b) 5% flux solar wind condition.

    tial profiles versus z  for  α  = 0◦, 5◦, and 10◦, respectively. Wenote the qualitative difference in the potential profile between

    the “mean flux density” and the “5% flux density” cases on

    the   α = 5◦ and   α = 10◦ curves. A nonmonotonic potentialprofile develops when the excessive charge from photoelectron

    emissions cannot be neutralized sufficiently by the ambient

    solar wind plasma. Due to their low energy, some of the

    photoelectrons emitted are reflected back to the lunar surface

    by the nonmonotonic potential profile. Fig. 3 shows the steady-

    state velocity phase space plot (vz   versus  z) for all the threespecies. The reflection of photoelectrons by the nonmonotonicpotential profile near the lunar surface   (z  ∼ 0), as shown bythe “red” particles with negative   vz , is evident in the phasespace plot for the “5% flux density” case. Fig. 4 shows the lunar

    surface potential Φs  obtained from simulation as a function of the sun elevation angle α  for both the “mean flux density” andthe “5% flux density” conditions. Table II further shows the

    values of  Φs and the surface electric field,  E s =  E z(z  = 0).The location on lunar surface where the surface electric field

    E s = 0, or the “transition” point, is of special interest to dustlevitation. As   E s   switches its direction across the transitionpoint, only positively charged dust particles satisfy the dust lev-

    itation condition (8) on one side and negatively charged dustssatisfy (8) on the other side. Moreover, only those dusts with a

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    Fig. 3. Phasevelocity plot for photoelectrons (darkgray), solar wind electrons(black), and solar wind protons (light gray). Sun elevation angle: 5◦. (a) Meanflux solar wind condition. (b) 5% flux solar wind condition.

    Fig. 4. Lunar surface potential versus sun elevation angle.

    very large Qd  can satisfy (8) near the transition point becauseE s  ∼ 0. Under the “mean flux density” condition, we find that

    the direction of  E s switches from −z to +z near α ∼ 10◦ whilethe surface potential Φs  remains negative. Under the “5% flux

    TABLE IISURFACE POTENTIAL AND SURFACE ELECTRIC FIELD

    Fig. 5. Electric field profile versus distance from lunar surface for sunelevation angles near the transition point. (a) Mean flux solar wind condition.

    (b) 5% flux solar wind condition.

    density” condition, the direction of  E s switches from −z to  +zbetween 2◦ and 4◦ while Φs becomes positive at α ≥ 8◦. Acrossthe transition point from the night side to the day side, the

    potential profile also changes from monotonic to nonmonotonic

    due to enhanced photoelectron emission. The   E (z)   profilearound the transition point is compared in Fig. 5. Its implication

    on dust levitation will be further discussed in the next section.

     B. Dust Levitation

    Test particle simulations were performed to simulate the

    dynamics of charged dust particles which are initially at reston lunar surface. We first simulate dust levitation using the first

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    Fig. 6. Dust levitation height versus time for selected sun elevation angle fordusts with the minimum required charge for elevation. (a) Mean flux solar windcondition. (b) 5% flux solar wind condition.

    dust charging model [see (9)]. Under this assumption, the dust

    dynamics equation (7) is rewritten as

    dvzdt

      =  d2z

    dt2  =

    (1 + δ )

    E (z)

    E s− 1

    g.   (11)

    Fig. 6 shows the orbits of charged dust particles (levitation

    height versus time) from the test particle simulations for several

    sun elevation angles. It shows that a dust grain with an initial

    charge given by (9) will be levitated and remain suspended

    above the surface. As the electric field changes significantly

    within the sheath, the dust particles oscillate around an equilib-

    rium height. In this simulation, we take the dust grain charge

    to be   Qd = 1.05Qd,min. Table III shows the maximum dustlevitation height as a function of sun elevation angle  α. Underthe assumption of (8), the levitated dust trajectory is only

    dependent upon the electric field profile and is independent

    of dust grain size because  Qd  is linearly proportional to  M d.

    Hence, the results shown in Table III and Fig. 6 apply to all sizedust grains.

    TABLE IIIDUS T ELEVATION HEIGHT: Qd   = 1.05Qd,min

    An important conclusion from Fig. 6 and Table III is that thedust levitation height changes drastically around the transition

    point where the surface electric field   E s  ∼ 0. This drasticchange is due to both the surface electric field   Es   and the

    electric field profile   E(z). For instance, let us compare dustlevitation heights for   α = 0◦, 2◦, and 4◦ under the “5% fluxdensity” condition, which are 2.3, 55, and 0.3 m, respectively.

    For α  = 0◦ and α  = 2◦,  E(z) is negative throughout the entiredomain, and only negatively charged dusts satisfy (8). As the

    magnitude of  E s(2◦)   is much smaller than that of  E s(0

    ◦), amuch larger  Qd,min   is required for levitation at  α = 2

    ◦. This

    results in a much larger levitation height at   α = 2◦. On theother hand, at  α = 4◦,  E(z)  changes from positive at surfaceto negative at  z   4  m above the surface. As only positivelycharged dust particles can satisfy (8), dust acceleration is

    confined within the region where  E(z)  is positive. The drasticchange in elevation height observed around   α = 8◦ for the“mean flux density” condition is due to the same reason. Hence,

    if dust levitation occurs as soon as dust charge reaches Qd,minin (8), one would observe a drastic increase in dust levitation

    height from the terminator to the transition point. The maxi-

    mum dust levitation height would occur to negatively charged

    dusts on the immediate night side of the transition point.

    We next simulate dust levitation using the second dust charg-

    ing model [see (10)]. From (8) and (10), only those dusts with

    a radius

    rd  ≤ rd,max =

     3oΦsE s

    ρdg  (12)

    can satisfy the necessary condition for levitation. Table IV

    shows   rd,max   as a function of   α. For the two solar windconditions considered in this paper, dust levitation would occur

    only for submicrometer-sized dusts. Moreover, in order for (12)

    to be valid,   Φs   and  E s  must have the same sign. From PICsimulation results in Table II, we find that no dust size can

    satisfy (12) on the immediate day-side region of the transition

    point because Φs is negative and E s is positive.Table IV shows the dust levitation for two dust radii  rd =

    0.01 µm and rd = 0.1 µm. The dust charge Qd calculated from(10) is also shown. The results show that, for a fixed size dust

    particle, the dust levitation height is also sensitively influenced

    by the surface electric field. For instance, under the “mean flux

    density” condition, the levitation height for an  rd = 0.01  µmdust ranges from altitudes of tens of kilometers for  α ≤ 2◦ tohundreds of meters at α ∼ 8◦.

    IV. SUMMARY AND C ONCLUSION

    In summary, a simulation model based on full-particle

    PIC simulations of lunar surface charging and test particlesimulations of charged dust particle dynamics is developed

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    TABLE IVDUS T ELEVATION  HEIGHT: Qd   = 4πoΦs

    to investigate electrostatic levitation of dust grains on lunar

    surface. Full-particle PIC simulations are carried out using the

    real ion to electron mass ratio to obtain the plasma sheath and

    surface charging self-consistently. The simulations show that,

    under typical solar wind conditions, the lunar surface potential

    ranges from about Φs  ∼ 30 V negative with respect to the ambi-ent at the sun elevation angle α = 0 to near zero or slightly pos-itive at α ∼ 10◦. The transition point, where the surface electricfield E s  ∼ 0, does not occur at the same location where Φs  ∼ 0.Due to photoelectron emissions, the transition point takes place

    closer to the terminator than the location of  Φs  ∼ 0 does. Thepotential profile above the lunar surface is nonmonotonic on

    the day side of the transition point. PIC simulation results are

    incorporated into the test particle simulation model to simulate

    the levitation of dust grains which are initially at rest on lunar

    surface. We find that dust levitation in the terminator region is

    sensitively influenced by the ambient plasma and surface charg-

    ing condition and varies significantly even for small changes of 

    the sun elevation angle. For instance, assuming that dust levita-

    tion occurs as soon as a dust grain has acquired the minimum

    required charge for levitation, the dust levitation height will

    increase drastically from the terminator to the transition point.

    Negatively charged dust grains will reach the maximum levita-

    tion height on the immediate night side of the transition point.

    This paper applies two simplified models to calculate charging

    for a dust-on-surface. More sophisticated dust charging models

    will need to be developed in future studies.

    ACKNOWLEDGMENT

    The authors would like to thank D. Brinza, H. Garrett, andI. Jun of JPL and also J. Minow and D. Ferguson of NASA

    MSFC for the many useful discussions.

    REFERENCES

    [1] J. Rennilson and D. Criswell, “Surveyor observations of lunar horizon-glow,” Moon, vol. 10, no. 2, pp. 121–142, Jun. 1973.

    [2] J. Gaier, “The effects of lunar dust on EVA systems during the Apollomissions,” NASA, John H. Glenn Res. Center, Cleveland, OH, NASATM-2005-213610, 2005.

    [3] O. Berg, H. Wolf, and J. Rhee, “Lunar soil movement registered by theApollo 17 cosmic dust experiment,” in  Interplanetary Dust and Zodiacal

     Light , H. Elsasser and H. Fechtig, Eds. New York: Springer-Verlag,1976, pp. 233–237.

    [4] J. McCoy and D. Criswell, “Evidence for a high altitude distribution of lunar dust,” in  Proc. 5th Lunar Sci. Conf., Geochim. Cosmochim. Acta,1974, vol. 3, pp. 2991–3005. Suppl. 5.

    [5] M. Horanyi, B. Walch, S. Robertson, and D. Alexander, “Electrostaticcharging properties of Apollo 17 lunar dust,”  J. Geophys. Res., vol. 103,no. E4, pp. 8575–8580, 1998.

    [6] A. Sickafoose, J. Colwell, M. Horanyi, and S. Robertson, “Experimen-tal investigations on photoelectric and triboelectric charging of dust,”

     J. Geophys. Res., vol. 106, no. A5, pp. 8343–8356, 2001.[7] A. Sickafoose, J. Colwell, M. Horanyi, and S. Robertson, “Experimental

    levitation of dust grains in a plasma sheath,”  J. Geophys. Res., vol. 107,no. A11, p. 1408, 2002.

    [8] Z. Sternovsky, S. Robertson, A. Sickafoose, J. Colwell, and M. Horanyi,“Contact charging of lunar and martian dust simulants,” J. Geophys. Res.,vol. 107, no. E11, p. 5105, 2002.

    [9] M. Abbas, D. Tankosic, P. Craven, R. Hoover, L. Taylor, J. Spann,A. LeClair, and E. West, “Photoelectric emission measurements onApollo 17 lunar dust grains,” in  Proc. 37th Lunar Planetary Sci. Conf. ,South Shore Harbor, TX, Mar. 13–17, 2006.

    [10] R. Willis, M. Anderegg, B. Feuerbacher, and B. Fitton, “Photoemis-sion and secondary electron emission from lunar surface material,” inPhoton and Particle Interactions with Surfaces in Space, R. Grard, Ed.Dordrecht, The Netherlands: Reidel, 1973, pp. 369–387.

    [11] R. Manka, “Plasma and Potential at the Lunar Surface,” in  Photon and Particle Interactions with Surfaces in Space, R. Grard, Ed. Dordrecht,The Netherlands: Reidel, 1973, pp. 347–361.

    [12] T. Nitter, O. Havnes, and F. Melandso, “Levitation and dynamics of charged dust in the photoelectron sheath above surfaces in space,” J. Geophys. Res., vol. 103, no. A4, pp. 6605–6620, 1998.

    [13] P. Lee, “Dust levitation on asteroids,” Icarus, vol. 124, no. 1, pp. 181–194,Nov. 1998.

    [14] J. Colwell, A. Gulbis, M. Horanyi, and S. Robertson, “Dust transport inphotoelectron layers and the formation of dust ponds on Eros,”   Icarus,vol. 175, no. 1, pp. 159–169, May 2005.

    [15] T. Stubbs, R. Vondrak, and W. Farrell, “A dynamic fountain model forlunar dust,” Adv. Space Sci., vol. 37, no. 1, pp. 59–66, 2006.

    [16] W. Farrell, T. Stubbs, R. Vondrak, G. Delory, and J. Halekas, “Complexelectric fields near the lunar terminator: The near-surface wake and ac-celerated dust,”  Geophys. Res. Lett., vol. 34, no. 14, pp. 14 201–14 206,2007.

    [17] H. Garet, “The charging of spacecraft surfaces,” Rev. Geophys., vol. 19,no. 4, pp. 577–616, 1981.

    [18] J. Gosling, “The solar wind,” in   Encyclopedia of the Solar System.

    San Diego, CA: Academic, 1999.[19] J. Fu, “Surface potential of a photoelectron emitting plane,” J. Geophys.

     Res., vol. 76, pp. 2506–2509, 1971.

    Joseph Wang   received the B.Eng. degree inengineering mechanics from Tsinghua University,Beijing, China, in 1985, and the S.M. degree inaeronautics and astronautics and the Ph.D. degreein plasma physics from Massachusetts Instituteof Technology, Cambridge, in 1988 and 1991respectively

    From 1991 to 2001, he was a Staff Member withJet Propulsion Laboratory. Since 2001, he has beenwith the Aerospace and Ocean Engineering Faculty,Virginia Polytechnic Institute and State University,

    Blacksburg. His research interests include spacecraft plasma interactions, spaceplasma physics, electric propulsion, and plasma simulation algorithms.Dr. Wang is an Associate Fellow of AIAA.

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    2466 IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 36, NO. 5, OCTOBER 2008

    Xiaoming He   received the B.S. and M.S. degreesin computational mathematics from Sichuan Univer-sity, Chengdu, China, in 2002 and 2005, respectively,and the M.S. degree in mathematics from VirginiaPolytechnic Institute and State University (VirginiaTech), Blacksburg, in 2007. He is currently workingtoward the Ph.D. degree in mathematics at VirginiaTech.

    His ongoing research involves the developmentof the immersed finite elements and extrapolationalgorithms for plasma simulation applications.

    Yong Cao   received the B.Eng. degree in thermalengineering from Tsinghua University, Beijing,China, in 1993, the M.S. degree in fluid mechanicsfrom the Institute of Mechanics, Chinese Academyof Sciences, Beijing, China, in 1998, and the Ph.D.degree in mechanical engineering from CarnegieMellon University, Pittsburgh, PA, in 2003.

    From 2003 to 2006, he was a Postdoctoral

    Fellow with Virginia Polytechnic Institute and StateUniversity, Blacksburg. He is currently an AssociateProfessor of mechanical engineering with Harbin

    Institute of Technology, Harbin, China.