Study Effect of Deformation Nanochannel Wall Roughness on The Water-Copper Nano-Fluids Poiseuille Flow Behavior

Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering

مقاله 3، دوره 8، شماره 1، اردیبهشت 2015، صفحه 29-40   

نوع مقاله: Persian

نویسندگان

M.M. Amrollahi Pourshirazi^{* 1}؛ D. Toghraie²؛ A.R. Azimian³

¹MSc Student, Mechanical Engineering Faculty, Islamic Azad University, Khomeinishahr Branch, Isfahan, Iran.

²Assistant Professor, Mechanical Engineering Faculty, Islamic Azad University, Khomeinishahr Branch, Isfahan, Iran

³Professor Mechanical Engineering Faculty, Islamic Azad University, Khomeinishahr Branch, Isfahan, Iran.

چکیده

In the nanochannel flow behavior with respect to expand their applications in modern systems is of utmost importance. According to the results obtained in this study, the condition of nonslip on the wall of the nanochannel is not acceptable because in the nano dimensions, slip depends on different parameters including surface roughness. In this study, keeping the side area roughness, deformation effects on fluid flow behavior is investigated. Modeling software open source LAMMPS with equilibrium molecular dynamics simulations have been carried out. Unlike previous studies, existence fluid in laboratory conditions as water-copper nanofluids used. The results showed that rectangular was the most effective and triangular was least effective roughness on flow behavior, resulting in a rough triangular nanochannel slip occurs with more intensity.Existence roughness on the surface increases the number of oscillations in the fluid layer but amplitude near the wall is smooth to rough increased. Nanoparticles also increase the impact on the flow properties
 

کلیدواژه‌ها

Molecular dynamics simulations؛ Nanofluids؛ water-copper؛ the flow dynamic behavior

اصل مقاله

 

مراجع

[1] Schoch, R., J. Han, and P. Renaud, Transport phenomena in nanofluidics. Reviews of Modern Physics, vol. 80, No. 3, 2008, pp. 839-883.

[2] Perry, J. and S. Kandlikar, Review of fabrication of nanochannels for single phase liquid flow. Microfluidics and Nanofluidics, vol. 2, No. 3, 2006, pp. 185-193.

[3] Mijatovic, D., J.C.T. Eijkel, and A. van den Berg, Technologies for nanofluidic systems: top-down vs. bottom-up-a review. Lab on a Chip, vol. 5, No. 5, 2005 pp. 492-500.

[4] Eijkel, J.T. and A. Berg, Nanofluidics: what is it and what can we expect from it? Microfluidics and Nanofluidics, vol. 1, No. 3, 2005, pp. 249-267.

[5] Abgrall, P. and N.T. Nguyen, Nanofluidic Devices and Their Applications. Analytical Chemistry, vol. 80, No. 7, 2008, pp. 2326-2341.

[6] Alder, B.J. and T.E. Wainwright, Studies in Molecular Dynamics. I. General Method. The Journal of Chemical Physics, vol. 31, No. 2, 1959, pp. 459-466.

[7] Succi, S., A.A. Mohammad, and J. Horbach, Lattice–Boltzmann simulation of dense nanoflows: a comprison with molecular dynamics and navier-stokes solutions. International Journal of Modern Physics C, vol. 18, No. 4, 2007, pp. 667-675.

[8] Noorian, H., D. Toghraie, and A.R. Azimian, The effects of surface roughness geometry of flow undergoing Poiseuille flow by molecular dynamics simulation. Heat and Mass Transfer, vol. 50, No. 1, 2014, pp. 95-104.

[9] Sofos, F., T.E. Karakasidis, and A. Liakopoulos, Effect of wall roughness on shear viscosity and diffusion in nanochannels. International Journal of Heat and Mass Transfer, vol. 53, No. 20, 2010, pp. 3839-3846.

[10] Kamali, R. and A. Kharazmi, Molecular dynamics simulation of surface roughness effects on nanoscale flows. International Journal of Thermal Sciences, vol. 50, N. 3, 2011, pp. 226-232.

[11] Noorian, H., D. Toghraie, and A.R. Azimian, Molecular dynamics simulation of Poiseuille flow in a rough nano channel with checker surface roughnesses geometry. Heat and Mass Transfer, vol. 50, No. 1, 2014, pp. 105-113.

[12] Jiang, L. and L. Wen, Construction of biomimetic smart nanochannels for confined water. National Science Review, vol. 1, No. 1, 2014, pp. 144–156.

[13] Mark, P. and L. Nilsson, Structure and Dynamics of the TIP3P, SPC, and SPC/E Water Models at 298 K. The Journal of Physical Chemistry A, vol. 105, No. 43, 2001, pp. 9954-9960.

[14] Guevara-Carrion, G., J. Vrabec, and H. Hasse, Prediction of self-diffusion coefficient and shear viscosity of water and its binary mixtures with methanol and ethanol by molecular simulation. The Journal of Chemical Physics, vol. 134, No. 7, 2011.

[15] Bertolini, D. and A. Tani, Thermal conductivity of water: Molecular dynamics and generalized hydrodynamics results. Physical Review E, vol. 56, No. 4,1997, pp. 4135-4151.

[16] Allen, M.P. and D.J. Tildesley, Computer simulation of liquids, 1989, New-York: Oxford University Press.

[17] Tironi, I.G., R.M. Brunne, and W.F. van Gunsteren, On the relative merits of flexible versus rigid models for use in computer simulations of molecular liquids. Chemical Physics Letters, vol. 250, No. 1, 1996, pp. 19-24.

[18] Habershon, S., T.E. Markland, and D.E. Manolopoulos, Competing quantum effects in the dynamics of a flexible water model. The Journal of Chemical Physics, vol. 131, No. 2, 2009.

[19] Hail, J.M., Molecular dynamics simulation: Elementary Methods, 1992, New York: John Wiley & Sons.

[20] Frenkel, D. and B. Smit, Understanding molecular dynamics: From Algorithm to Applications, second edition, 2002, New-York: Academic Press.

[21] Jones, J.E., On the Determination of Molecular Fields. II. From the Equation of State of a Gas. Vol. 106, 1924, pp. 463-477.

[22] Rapaport, D.C., The Art of Molecular Dynamics Simulation. 1996: Cambridge University Press, 414.

[23] Everaers, R. and M. Ejtehadi, Interaction potentials for soft and hard ellipsoids. Physical Review E, vol. 67, No. 4, 2003.

[24] Tadros, T.F., Colloids in Paints: Colloids and Interface Science, Vol. 6. 2010, Wiley-VCH: Weinheim.

[25] Pashley, R.M. and M.E. Karaman, Applied Colloid and Surface Chemistry, 2004, West Sussex: John Wiley & Sons Ltd.