- Open Access
- Total Downloads : 144
- Authors : E. Nebbat, R. Annou, R. Bharuthram
- Paper ID : IJERTV3IS10160
- Volume & Issue : Volume 03, Issue 01 (January 2014)
- Published (First Online): 18-01-2014
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Viscosity Effect on Vortices in Magnetized Dusty Plasmas
-
Nebbat1,2, R. Annou1 and R. Bharuthram3
1 Faculty of physics, USTHB, Algiers, Algeria.
1,2also at Faculty of Sci. and Technology, University of Dr. Yahia Farès, Médéa, Algeria
3University of the Western Cape, UWC, Bellville, South Africa.
Abstract
Recently Nebbat and Annou proposed a model that explains the behavior of the vortex structure that is considered a consequence of an instability in dusty plasmas [Phys. Plasmas,17, 093702 (2010); Phys. Plasmas,19, 093705 (2012).]. As the dust numerical density increases the momentum loss due to grain-grain collisions is substantial and the shear viscosity is to be coped with. The model is augmented accordingly and a comparison is conducted. The effect of viscosity is found depending on the size grain.
-
Introduction
In a dusty plasma that contains electrons, ions and massive and highly charged grains, the latter rearrange themselves collectively to give rise to numerous nonlinear solutions such as, voids, vortices, solitons and cnoidal waves. The vortices are formed under certain conditions when a rotational motion around a core, is triggered. These non-linear structures that have been observed in many laboratories [1-3] are investigated by way of various theoretical models to explain their characteristics [4-6]. However, the viscosity factor is neglected in the above mentioned models, as the fluid is taken tenuous, although in most experiments the gas pressure is not that low. As a matter of fact, an experimental investigation of shear viscosity in dusty plasma medium conducted by Gavrikov et al.[7] reveals that the shear viscosity increases with increasing gas pressure. In dust free media such as fluids, when taking into account the viscosity parameter [8-14] , Olonius et al.[15] studied vortices and found that these structures exist for longer periods of time when the influence of viscosity is weak, otherwise the viscosity leads to the decay of the structure. Indeed, according to Babkins et al.[16] findings the intensity as well as the velocity of the vortex are
reduced in viscous medium. The contribution of the shear viscosity in one component plasmas has been analyzed also by Murillo[17]. In dusty plasmas, experiments conducted by Agarwal et al.in unmagnetized plasmas confirmed that when the gas pressure increases, the friction due to viscosity increases and the peripheral velocity decreases [18]. Similarly, in magneto-plasmas, the same inclination is emphasized, i. e., when pressure increases the peripheral velocity of dust grains decreases [19].
In this paper the model in Ref.4 is extended, as the viscosity is introduced, the results are compared with those in Ref. [4]. The paper is organized as follows. In Sec.I, the problem is introduced whereas in Sec. II it is formulated. In Sec.III, the results are discussed and the Section IV is devoted to the concluding remarks.
Fig.1: Peripheral velocity vs position
for = 20 without viscosity
Fig.2: Peripheral velocity vs position for
= 20 with viscosity
Fig.3: Dust numerical density vs position for
= 20 without viscosity
effect on this force may be neglected, and the interaction force is
= 2 2 22 3 1 3 ,
where is the inter-grain distance and =
3 4 1 3.
The viscosity is determined by the Einstein- Stokes formula written as,
= Td .
8.1 rd D
The dust continuity equation is written as,
+ . = 2 . (2)
The ion continuity equation is given by,
+ . = (3)
where, = + , accounts for the loss and gain of particles that are due to ion attachment and ionization.
The self-consistent electric field is given by Poissons equation,
. = 4 (4)
The electron dynamics is described by the momentum equation,
Fig.4: Dust numerical density vs position for
= 20 with viscosity
-
Formulation
=
The vorticity vector Helmholtz equation,
(5)
V
satisfies
We consider a dusty plasma containing electrons, ions, and massive negatively charged dust grains. Due to viscosity, the grains momentum equation is
= 2 , (6)
rewritten as follows,
where =
+ . .
+ . = + × +
As motion is solid, the peripheral velocity and
+ + . (1)
where , , , , , , and are respectively, dust density, dust velocity, dust temperature, dust
density depend on the radial dimension.
The system of equations (1)-(6) is normalized and rewritten as follows,
charge, grain mass and dust diffusion coefficient., ion drag force, and the interaction between grains.
=
0
2
+
0
2
The ion drag force is approached by Khrapaks ion drag
force
i d i i thi i
F 8 2 / 3 r 2 n m v v 1 1/ 2 z 1/ 4 z2 2
4202
,
(7)
with is the Coulomb logarithm, the grain radii and = = 1 , we note that the ion velocity is very high, therefore, the magnetic field
= , (8)
=
, (13)
=
2
+
1
1
= , (14)
+
+
2
3 1 3
where, = , =
, =
4
, =
,
= , and
= 1 + + 2 2 .
2 2
4 2 0 2 + 2 +
2
The position is normalized by , the electric
field by
2
, and time by 1 , whereas the
density of dust, electrons and ions is normalized by
0 , 0 , and 0 respectively, the vorticity by
2
+
8 2 20
, and the peripheral velocity by .
3
2
2
+ +
0
1 3 1
1 3
,
2 2
2 3 2
2 0
3
2 2
+
2
(9)
=
=
2
Fig.5: Vorticity vs position for
= 20 without viscosity
8220
+
3
0
1 3
1 3
2
+
2
0
2 3
2 3
2
2 2 1
+
, 10
= , (11)
Fig.6: Vorticity vs position for
= 42
0
2
<>
(12)
= 20 with viscosity
-
Discussion
We consider an argon plasma with the following parameters, viz., = 3 , = 1011 3 ,
= 0.1 , 0 = 1.8 × 106 3 , = 0.025 ,
= 2.2 3 (mass density of the grain) and
= 0.2 . The vortex is characterized by its velocity peripheral that increases from the center to reach a maximum and decreases beyond. The velocity with respect to position for = 20 is plotted in Fig. 1 in absence of viscosity and in Fig. 2 with shear viscosity accounted for; it is clear that in case viscosity is neglected, we retrieve earlier work findings (c.f. Ref.[4]). The result reveals that the shear viscosity decreases the peripheral velocity, i. e., the shear viscosity introduces friction between grains, in agreement with experimental work in Refs.[6,18]. Furthermore, the shear viscosity reduces the vortex size. In Figs. 3 and 4, the density distribution with respect to position for = 20 is plotted respectively in absence and with shear viscosity, where it is revealed that the shear viscosity generates a collapse of the grain cloud toward the center that is the grains are pushed inwardly. In Figs. 5and 6, the vorticity is plotted respectively in absence and with shear viscosity for = 20 , where it is seen a reduction of vorticity caused by
= 2.44
= 10
= 20
1
2
3
Fig.7: Peripheral velocity vs position for different values of grain radius with viscosity
viscosity. In presence of shear viscosity the
peripheral velocity is also plotted in Fig. 7 for
different values of grain radius, viz, = 20 , = 10 , = 2.44 ; the results reveal the decrease of the maximum value of the peripheral velocity when the grain size increases, contrary to the result found in Ref.[4] for the non- viscous magnetoplasma where the maximum value of the peripheral velocity stays constant for different sizes of the grain. Moreover, the comparison between 1 ,2 and 3 which are the vortex core sizes for grain radii respectively equal to = 2.4 , = 10 , and = 20 gives 1 > 2 > 3 , that is the vortex core decreases for grain size increase. Also, the same figure shows that closer to center, the peripheral velocity is the same for all grain sizes. In Fig. 8, density is plotted versus position for different values of the grain radius, viz, = 20 , = 10 , = 2.44 ; it appears that the collapse of the grains cloud increases when the grain radius increases, viz., a result found earlier in non-viscous
= 2.4
= 10
= 20
Fig.8: Dust numerical density vs position for different values of grain radius with viscosity
plasmas4. In addition, for the same condition of Figs. 4 and 5, the vorticity is plotted in Fig. 9 for different values of grain radius, where it is found that vorticity is higher for smaller grains in size, in accordance with the findings of Ref.[4].
= 2.4
= 10
= 20
Fig.9: Vorticity vs position for different values of grain radius with viscosity
-
Conclusion
Recently a model is proposed that explains the behavior of the vortex structure where it is considered a consequence of an instability in dusty plasmas. As the dust numerical density increases the momentum loss due to grain-grain collisions is substantial and the shear viscosity is to be taken care of. The model is then augmented and a comparison is conducted. The effect of viscosity is found to decrease the peripheral velocity in good agreement with Refs.[6, 18], along with the vortex core. Furthermore, the shear viscosity generates a collapse of the grain cloud towards the center. The vorticity, which indicates the rotational movement is less when the shear viscosity is introduced. In addition, the effect of the shear viscosity is found depending on the grain size, for the calculations show that when the grain size increases, the peripheral velocity decreases as well as the vortex core, but closer to center the peripheral velocity is the same for all grain sizes. Furthermore, is noted that vorticity shows a rapid decrease for bigger grains.
References
-
O. S. Vaulina, A. P. Nefedov, O. F. Petrov, N. A. Vorona, V. E. Fortov, Phys. Lett. A289 (2001).
-
A. Samarian, O. Vaulina, W. Tsang, B. W. James, Phys. Scr. T 98, 240 (2002).
-
M. Mikikian, L. Boufendi, A. Bouchoule, H. M. Thomas, G. E. Morfill, A. P. Nefedov. V. E. Fortov, and the PKE-Nefedov team, New J. Phys. 5 ,19 .1 (2003).
-
E. Nebbat, R. Annou, Phys. Plasmas, 17, 093702 (2010).
-
E. Nebbat, R. Annou, Phys. Plasmas, 19, 093705 (2012).
-
A. V. Gavrikov, D. N. Goranskaya, A. S. Ivanov, O.
-
-
Petrov, R. A. Timirkhanov, N. A. Vorona and V. E. Fortov, Phys. Plasmas, 76, 579 (2010).
-
T. Saigo, S. Hamaguchi, Phys. Plasmas9, 4 (2002).
-
K. Y. Sanbonmatsu, M. S. Murillo, Phys. Rev. Lett.
86, 1215 (2001).
-
O. S. Vaulina, O. F. Petrov, V. E. Fortov, G. E. Morfill, H. M. Thomas, Yu. P. Semenov, A. I. Ivanov, S.
K. Krikalevand Yu. P. Gidzenko, Phys. Scr.107, 224 (2004).
-
O. S. Vaulina, S. V. Vladimirov, O. F. Petrov, V. E. Fortov, Phys. Rev. Lett. 88, 245002 (2002).
-
V. Nosenko, J. Goree, Phys. Rev. Lett.93, 155004 (2004).
-
A. Gavrikov, I. Shakhova, A. Ivanov, O. Petrov,
N. Vorona, V. Fortov, Phys. Lett. A 336, 378 (2005).
-
V. E. Fortov, O. F. Petrov, O. S. Vaulina, R. A. Timirkhanov, Phys. Rev. Lett. 109, 055002 (2012).
-
T. Colonius, S. K. Lele and P. Moin, J. Fluid Mech.
230, 45 (1991).
-
E. A. Babkin, V. A. Brailovskaya, D. Clamond, Ph. Fraunie and Yu. A. Stepanyants, Int. J.
Computational Fluid Dyn.,13, 185 (2000).
[17] M. S. Murillo, Phys. Rev. E 62, 4115 (2000).-
A. K. Agarwal and G. Prasad, Phys. Lett. A309, 103 (2003).
-
F. Huang, Y. H. Liu, M. F. Ye, and L. Wang, Phys. Scr. 83, 025502 (2011).