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shateri, A., zarei kordshooli, M., zarei, V. (2017). Calculation of the Viscosity of Nanofluid Water SPC Model in Molecular Dynamics. Electronic and Cyber Defense, 6(1), 67-78.
alireza shateri; mohammad mehdi zarei kordshooli; vahid zarei. "Calculation of the Viscosity of Nanofluid Water SPC Model in Molecular Dynamics". Electronic and Cyber Defense, 6, 1, 2017, 67-78.
shateri, A., zarei kordshooli, M., zarei, V. (2017). 'Calculation of the Viscosity of Nanofluid Water SPC Model in Molecular Dynamics', Electronic and Cyber Defense, 6(1), pp. 67-78.
shateri, A., zarei kordshooli, M., zarei, V. Calculation of the Viscosity of Nanofluid Water SPC Model in Molecular Dynamics. Electronic and Cyber Defense, 2017; 6(1): 67-78.

Calculation of the Viscosity of Nanofluid Water SPC Model in Molecular Dynamics

مکانیک سیالات و آیرودینامیک
Article 4, Volume 6, Issue 1 - Serial Number 19, December 2020, Pages 67-78    PDF (1.14 M)
Document Type: Original Article
Authors
alireza shateri* 1; mohammad mehdi zarei kordshooli1; vahid zarei2
1shahrekord
2emam khomyni , ghazvin
Receive Date: 27 December 2017,  Revise Date: 31 May 2020,  Accept Date: 19 September 2018 
Abstract
This paper presents molecular dynamics modeling for calculating viscosity of nanofluids containing copper nanoparticles. In the first case, the copper nanoparticles were located as a spherical region in water-based fluid module SPC. System under specified boundary conditions, and writing code by LAMMPS software, and nanofluid ratios of 3.2,4.4,6.9 and 9.1 percented by Brownian motion of atoms, was carried out. three popular potential function, LennardJones, Coulomb, and embedded atom method were used. Between equilibrium molecule dynamic, and non- equilibrium molecule dynamic, (EMD) and Green-kubo formula were used to calculate viscosity. The results show that by increasing the amount of voloume fraction, viscosity increases. nanofluids in addition to other factors, such as volume fraction of particles in Brownian motion and clustering phenomenon, each in turn causes changes in viscosity. The simulation results were compared with other's works and found that the obtained results are remarkably accurate.
Keywords
Pair Potential; Molecular Dynamics; Viscosity; Green-Kubo Equation; Nanofluids; Dynamic Balance; Clustering Phenomenon
References
  1. CHOI, S.U.S. “Enhancing Thermal Conductivity of Fluid with Nanoparticles Development and Applications of Non - Newtonian Flow”, Vol. 66, p.99, 1999.
  2. Zhu, D., li, X., WANG, N., Wang, X., Gao, J. ‌Curr. APPL.Phys‌(2009)
  3. CHOI, S.U.S. “Enhancing Thermal Conductivity Of Fluid With Nanoparticles Development And Applications Of Non Newtonian Flow”, Asme Int. Mech. Eng. congress and Exposition, San Fransisco, USA, (1999).
  4. Viota, J.L., Caballero, F.G., Duran, J.D.G. and Delgado, A.V J, Colloid Interface Sci. (2008)
  5. Beskok, A. karniadakis, G. “Micro Flow and Nano Flow Fundemantal and Simulation”, publication of the book Elsevier,2003.
  6. Alder, B.J., Wainwright, T.E.J. “Phase Transition for a Hard Sphere System”, J. chem. Phys. Vol.27, pp.1208-1209,1957.
  7. Alder, B.J., ‌ Wainwright, J. “Studies in Molecular Dynamics. General Methods”, j. chem. Phys. Vol.31, pp.459-466, 1959.
  8. Allen, M.P. and Tildesley, D.J. “Computer Simulation of Liquids”, Clarendon Press. Oxford, 1978.
  9. Abraham, F.F. “Computational Statical Mechanics, Methodology, Applications and Supercomputing”, J. Advances in Physics,1988.
  10. Rafii Tabar, H. “Modelling the Nano Scale- Phenomena in Condensed Matter Physics Via Computer –based Numerical Simulations”, Physics Report, 2001.
  11. Rahman, A. “Correlations in the Motion of Atoms in Liquid Argon”, physical review, pp. A405-A411,1964.
  12. Stiflinger, F.H. and Rahmani, A. "Improved Simulation of Liquid Water by Molecular Dynamics”, The J. chem. Phys., Vol 60, pp.1545-1557, 1974.
  13. http://lammps.sandia.gov
  14. Martin, G. and Thompson, A. P. “Industrial Property Prediction using Towhee and LAMMPS”, Sandia National Laboratories, 2003.
  15. Botan, A., Tazi, S., Rotenberg, B., and Turq, P. “Diffusion Coefficient Shear Viscosity of Rigid Water Models”, CNRS and UPMC Universe Paris, 2012.
  16. Franky,‌ M. and‌ Rummens, A. “A Critical Evaluation of Lennard –Jones and Stockmayer Potential Parameters and of Some Correlation Methods”, University of Regina, 1976.
  17. Rajabpor, A., Yousefi, F. “Molecular Dynamic Simulation of the Specific Heat Capacity of Water-Cu Nanoluids”, Int. nano letters, 2013.
  18. Bakhshan, Y. and Shadloo Jahromi, A. “Molecular Dynamics Simulation of Surface Specifics Effects on the Nano scale fluid flow”, Modarres Mechanical Engineering, Vol. 15, No. 5, pp. 176-184, 2015 (In Persian).
  19. Allen, M. P. and Tildesley, D. J. “Computer Simulation of Liquid Oxford University Pressa Oxforda,1989.
  20. sandia.gov/sjplimp/VMDTUTORIAL.HTM
  21. Daw, M. S. and Baskes, M. I. “Phys. Rev. B29644”, 1984.
  22. Mishin, Y. “Handbook of Materials Modelinged S Yip”, (The Netherlands: Springer), Vol. 2, pp. 459–463, 2005.
  23. Voter, A.F. John Wiley & Sons, “Intermetallic Compounds”, New York, Vol. 1, No. 4, p.77.83,1994.
  24. Wang, X. and Xu, X. “Thermophys. and Heat Transfer”, Vol. 13, pp. 474–480,1999.
  25. Eastman, J.A., Choi, S.U.S., Li, S., Yu, W., and Thompson, L.J. “Appl. Phys. Lett.”, Vol. 78, pp. 718–720, 2001.
  26. Patel, H.E., Das, S. K., Sundararajan, T., Nair, A. S., George, B., and Pradeep, T. “App. Phys. Lett.”, Vol. 83, pp. 2931–2933, 2003.
  27. Keblinski, P., Phillpot, S.R., Choi, S.U.S., and Eastman, J.A. “Mechanisms of Heat Flow in Suspensions of Nano-sized Particles (nanofluids)”, Int. J. Heat Mass Transfer; Vol. 45, pp.855–863, 2002.
  28. Jang, S. P. and Choi, S.U.S. “Appl. Phys. Lett.”, Vol. 84, pp.4316–4318, 2004.
  29. Kumar, D. H., Patel, H. E., Kumar, V.R.R., Sundararajan, T., Pradeepand, T., and Das, S. K. “Phys. Rev. Lett.”, Vol. 93, 2004.
  30. Prasher, R., Bhattacharya, P., and Phelan, P. E. “Phys. Rev. Lett.”, Vol. 94, 2005.
  31. Fourier, J., “The Analytical Theory of Heat”, London: Cambridge, 1878.
  32. Muller-Plathe, F. and Reith, D. “Cause and effect Reversed in Non-Equilibrium Molecular Dynamics: an Easy Route to Transport Coefficients”, Computational and Theoretical Polymer Science, Vol. 9, Nos. 3–4, pp. 203–209, 1999.
  33. Walker, E.A. “Influence Of Phonon Modes On The Thermal Conductivity Of Single-Wall, Double-Wall, and Functionalized Carbon Nanotubes”, Faculty of Graduate School of Vanderbilt University, 2012.
  34. Hoheisel, C. “Theoretical Treatment of Liquids and Liquid Mixture, Elsevier New York, 1993.
  35. Eapen, J. Li, J., and Yip, S. “Phys. Rev. Lett.”, Vol. 98, 028302, 2007.
  36. Hamidi, A. Amrollahi, A. Rashidi, A. “Analysing the Mathematical Models to Calculate the Thermal Conductivity of Nanofluids”, Iranian Chemical Engineering Journal, Vol. 8, No. 40, 2009.
  37. National Institute Of Standards And Technology,Thermophysical Properties Of Fluid Systems,Http://Webbook.Nist.Gov/Chemistry/Fluid/
  38. Ho, C.J., Liu, W.K., Chang, Y.S., Lin, C.C. “Natural Convection Heat Transfer of Alumina-Water Nanofluid in Vertical Square Enclosures: AnExperimental Study”, Int. J. Thermal Sciences, Vol. 49, pp. 1345-1353, 2010.
  39. Aminfar, H. and Razmara, N. “Molecular Dynamics Simulation of Liquid Argon Flow in Nanochannels using Different Potential Function”, Modarres Mechanical Engineering, Vol. 13, No. 6, pp. 114-125, 2015 (In Persian).
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