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Statistical analysis of pulsating non-Newtonian flow in a corrugated channel using Lattice-Boltzmann method

Author

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  • Afrouzi, Hamid Hassanzadeh
  • Ahmadian, Majid
  • Moshfegh, Abouzar
  • Toghraie, Davood
  • Javadzadegan, Ashkan

Abstract

Pulsating non-Newtonian flow in a corrugated channel was studied by using the Lattice Boltzmann Method (LBM) and utilizing the Boundary Fitting Method (BFM). A wide range of fluctuation amplitudes of pulsating flow was studied (0≤Apulse≤0.35) where Apulse=0 represents the steady flow. Various Reynolds numbers (50, 100, 150 and 200) and power law indices (0.6, 0.8, 1.0, 1.2 and 1.4) were also investigated with the Strouhal number set to 0.25. Spatial and temporal variations of streamlines, shear stress contours, recirculation zones, and skin-friction factor and velocity profiles were analyzed when non-Newtonian behavior transitions from shear-thinning to shear-thickening. Results demonstrated that skin friction factor is directly proportional to the power-law index and indirectly related with the Reynolds number. Plug-like velocity profiles are formed when fluid shows pseudoplastic behavior. Pulse amplitude, power-law index and Reynolds number were identified as key parameters affecting the behaviors of the pulsating flow. Fidelity of the numerical method was verified for both Newtonian and non-Newtonian regimes by comparison with available analytic solutions.

Suggested Citation

  • Afrouzi, Hamid Hassanzadeh & Ahmadian, Majid & Moshfegh, Abouzar & Toghraie, Davood & Javadzadegan, Ashkan, 2019. "Statistical analysis of pulsating non-Newtonian flow in a corrugated channel using Lattice-Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
  • Handle: RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119314268
    DOI: 10.1016/j.physa.2019.122486
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    References listed on IDEAS

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    1. Ahmadi Balootaki, Azam & Karimipour, Arash & Toghraie, Davood, 2018. "Nano scale lattice Boltzmann method to simulate the mixed convection heat transfer of air in a lid-driven cavity with an endothermic obstacle inside," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 681-701.
    2. Hemmat Esfe, Mohammad & Hajmohammad, Hadi & Toghraie, Davood & Rostamian, Hadi & Mahian, Omid & Wongwises, Somchai, 2017. "Multi-objective optimization of nanofluid flow in double tube heat exchangers for applications in energy systems," Energy, Elsevier, vol. 137(C), pages 160-171.
    3. Najafi, Mohammad Javid & Naghavi, Sayed Mahdi & Toghraie, Davood, 2019. "Numerical simulation of flow in hydro turbines channel to improve its efficiency by using of Lattice Boltzmann Method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 390-408.
    4. Nemati, Maedeh & Shateri Najaf Abady, Ali Reza & Toghraie, Davood & Karimipour, Arash, 2018. "Numerical investigation of the pseudopotential lattice Boltzmann modeling of liquid–vapor for multi-phase flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 65-77.
    5. Karimipour, Arash & Hemmat Esfe, Mohammad & Safaei, Mohammad Reza & Toghraie Semiromi, Davood & Jafari, Saeed & Kazi, S.N., 2014. "Mixed convection of copper–water nanofluid in a shallow inclined lid driven cavity using the lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 150-168.
    6. Rezaei, M. & Azimian, A.R. & Toghraie, D., 2015. "Molecular dynamics study of an electro-kinetic fluid transport in a charged nanochannel based on the role of the stern layer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 25-34.
    7. Toghaniyan, Abolfazl & Zarringhalam, Majid & Akbari, Omid Ali & Sheikh Shabani, Gholamreza Ahmadi & Toghraie, Davood, 2018. "Application of lattice Boltzmann method and spinodal decomposition phenomenon for simulating two-phase thermal flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 673-689.
    8. Marelli, Silvia & Capobianco, Massimo, 2011. "Steady and pulsating flow efficiency of a waste-gated turbocharger radial flow turbine for automotive application," Energy, Elsevier, vol. 36(1), pages 459-465.
    9. Alipour, Pedram & Toghraie, Davood & Karimipour, Arash & Hajian, Mehdi, 2019. "Modeling different structures in perturbed Poiseuille flow in a nanochannel by using of molecular dynamics simulation: Study the equilibrium," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 13-30.
    10. Jourabian, Mahmoud & Darzi, A. Ali Rabienataj & Toghraie, Davood & Akbari, Omid ali, 2018. "Melting process in porous media around two hot cylinders: Numerical study using the lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 316-335.
    11. Galindo, J. & Fajardo, P. & Navarro, R. & García-Cuevas, L.M., 2013. "Characterization of a radial turbocharger turbine in pulsating flow by means of CFD and its application to engine modeling," Applied Energy, Elsevier, vol. 103(C), pages 116-127.
    12. Laurent Giraud & Dominique d'HumièRes & Pierre Lallemand, 1997. "A Lattice-Boltzmann Model for Visco-Elasticity," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 805-815.
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