scholarly journals Dynamics of Swimmers in Fluids with Resistance

Fluids ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 14 ◽  
Author(s):  
Cole Jeznach ◽  
Sarah D. Olson
Keyword(s):  
Fluid Dynamics ◽  
Fluid Flow ◽  
Cell Body ◽  
Complex Dynamics ◽  
Viscous Fluids ◽  
Hydrodynamic Interactions ◽  
Brinkman Equation ◽  
Resistance Parameter ◽  
Fluid Resistance ◽  
Stationary Obstacles

Micro-swimmers such as spermatozoa are able to efficiently navigate through viscous fluids that contain a sparse network of fibers or other macromolecules. We utilize the Brinkman equation to capture the fluid dynamics of sparse and stationary obstacles that are represented via a single resistance parameter. The method of regularized Brinkmanlets is utilized to solve for the fluid flow and motion of the swimmer in 2-dimensions when assuming the flagellum (tail) propagates a curvature wave. Extending previous studies, we investigate the dynamics of swimming when varying the resistance parameter, head or cell body radius, and preferred beat form parameters. For a single swimmer, we determine that increased swimming speed occurs for a smaller cell body radius and smaller fluid resistance. Progression of swimmers exhibits complex dynamics when considering hydrodynamic interactions; attraction of two swimmers is a robust phenomenon for smaller beat amplitude of the tail and smaller fluid resistance. Wall attraction is also observed, with a longer time scale of wall attraction with a larger resistance parameter.

A Computational Fluid Dynamics Study of Liquid–Solid Nano-fluid Flow in Horizontal Pipe

2021 ◽  
Author(s):  
Zainab Yousif Shnain ◽  
Jamal M. Ali ◽  
Khalid A. Sukkar ◽  
May Ali Alsaffar ◽  
Mohammad F. Abid
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flow ◽  
Horizontal Pipe ◽  
Nano Fluid

Multi-species Fluid Flow Simulations Using a Hybrid Computational Fluid Dynamics - Molecular Dynamics Approach

2012 ◽  
Author(s):  
Nayong Kim ◽  
Soon-Heum Ko ◽  
Shantenu Jha ◽  
Brian Novak ◽  
Dorel Moldovan ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Molecular Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flow ◽  
Flow Simulations

scholarly journals Spatial confinement of active microtubule networks induces large-scale rotational cytoplasmic flow

2017 ◽  
Vol 114 (11) ◽  
pp. 2922-2927 ◽  
Author(s):  
Kazuya Suzuki ◽  
Makito Miyazaki ◽  
Jun Takagi ◽  
Takeshi Itabashi ◽  
Shin’ichi Ishiwata
Keyword(s):  
Fluid Flow ◽  
Cytoplasmic Streaming ◽  
Large Scale ◽  
Random Network ◽  
Hydrodynamic Interactions ◽  
Length Scale ◽  
Vortex Flows ◽  
Directed Flow ◽  
Collective Behaviors ◽  
In Cells

Collective behaviors of motile units through hydrodynamic interactions induce directed fluid flow on a larger length scale than individual units. In cells, active cytoskeletal systems composed of polar filaments and molecular motors drive fluid flow, a process known as cytoplasmic streaming. The motor-driven elongation of microtubule bundles generates turbulent-like flow in purified systems; however, it remains unclear whether and how microtubule bundles induce large-scale directed flow like the cytoplasmic streaming observed in cells. Here, we adopted Xenopus egg extracts as a model system of the cytoplasm and found that microtubule bundle elongation induces directed flow for which the length scale and timescale depend on the existence of geometrical constraints. At the lower activity of dynein, kinesins bundle and slide microtubules, organizing extensile microtubule bundles. In bulk extracts, the extensile bundles connected with each other and formed a random network, and vortex flows with a length scale comparable to the bundle length continually emerged and persisted for 1 min at multiple places. When the extracts were encapsulated in droplets, the extensile bundles pushed the droplet boundary. This pushing force initiated symmetry breaking of the randomly oriented bundle network, leading to bundles aligning into a rotating vortex structure. This vortex induced rotational cytoplasmic flows on the length scale and timescale that were 10- to 100-fold longer than the vortex flows emerging in bulk extracts. Our results suggest that microtubule systems use not only hydrodynamic interactions but also mechanical interactions to induce large-scale temporally stable cytoplasmic flow.

scholarly journals Quinn’s Law of Fluid Dynamics Pressure-driven Fluid Flow Through Closed Conduits

2019 ◽  
Vol 5 (2) ◽  
pp. 39
Author(s):  
Hubert Michael Quinn
Keyword(s):  
Fluid Dynamics ◽  
Fluid Flow ◽  
Flow Through ◽  
Pressure Driven

scholarly journals Analysis for Flow of an Incompressible Brinkman-Type Fluid in Thin Medium with Friction

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Soumia Manaa ◽  
Salah Boulaaras ◽  
Hamid Benseridi ◽  
Mourad Dilmi ◽  
Sultan Alodhaibi
Keyword(s):  
Fluid Flow ◽  
Variational Formulation ◽  
Reynolds Equation ◽  
Three Dimensional ◽  
Stationary Regime ◽  
Limit Problem ◽  
Brinkman Equation ◽  
Asymptotic Convergence ◽  
Thin Domain ◽  
Uniqueness Of The Solution

In this paper, we consider the Brinkman equation in the three-dimensional thin domain ℚ ε ⊂ ℝ 3 . The purpose of this paper is to evaluate the asymptotic convergence of a fluid flow in a stationary regime. Firstly, we expose the variational formulation of the posed problem. Then, we presented the problem in transpose form and prove different inequalities for the solution u ε , p ε independently of the parameter ε . Finally, these estimates allow us to have the limit problem and the Reynolds equation and establish the uniqueness of the solution.

scholarly journals Penerapan Dinamika Fluida dalam Perhitungan Kecepatan Aliran dan Perolehan Minyak di Reservoir

2014 ◽  
Vol 5 (2) ◽  
pp. 707
Author(s):  
Dwi Listriana Kusumastuti
Keyword(s):  
Fluid Dynamics ◽  
Fluid Flow ◽  
Flow Velocity ◽  
Oil Recovery ◽  
Control Volume ◽  
Petroleum Industry ◽  
Reservoir Rock ◽  
Curved Pipe ◽  
Fluid Flow Velocity ◽  
Control Volumes

Water, oil and gas inside the earth are stored in the pores of the reservoir rock. In the world of petroleum industry, calculation of volume of the oil that can be recovered from the reservoir is something important to do. This calculation involves the calculation of the velocity of fluid flow by utilizing the principles and formulas provided by the Fluid Dynamics. The formula is usually applied to the fluid flow passing through a well defined control volume, for example: cylinder, curved pipe, straight pipes with different diameters at the input and output, and so forth. However, because of reservoir rock, as the fluid flow medium, has a wide variety of possible forms of the control volumes, hence, calculation of the velocity of the fluid flow is becoming difficult as it would involve calculations of fluid flow velocity for each control volume. This difficulties is mainly caused by the fact that these control volumes, that existed in the rock, cannot be well defined. This paper will describe a method for calculating this fluid flow velocity of the control volume, which consists of a combination of laboratory measurements and the use of some theories in the Fluid Dynamics. This method has been proofed can be used for calculating fluid flow velocity as well as oil recovery in reservoir rocks, with fairly good accuration.

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