Investigation of the Velocity Field and Nanoparticle Concentration Distribution of Nanofluid Using Lagrangian-Eulerian Approach

2012 ◽  
Vol 33 (1) ◽  
pp. 155-163 ◽  
Author(s):  
Habib Aminfar ◽  
Roghayyeh Motallebzadeh
Keyword(s):  
Velocity Field ◽  
Concentration Distribution ◽  
Nanoparticle Concentration ◽  
Eulerian Approach

scholarly journals MHD squeezed Darcy–Forchheimer nanofluid flow between two h–distance apart horizontal plates

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 1100-1107
Author(s):  
Ghulam Rasool ◽  
Waqar A. Khan ◽  
Sardar Muhammad Bilal ◽  
Ilyas Khan
Keyword(s):  
Heat Flux ◽  
Fluid Flow ◽  
Velocity Field ◽  
Concentration Distribution ◽  
Numerical Data ◽  
Brownian Diffusion ◽  
Nanofluid Flow ◽  
Viscosity Parameter ◽  
Thermal Distribution ◽  
Factor Data

Abstract This research is mainly concerned with the characteristics of magnetohydrodynamics and Darcy–Forchheimer medium in nanofluid flow between two horizontal plates. A uniformly induced magnetic impact is involved at the direction normal to the lower plate. Darcy–Forchheimer medium is considered between the plates that allow the flow along horizontal axis with additional effects of porosity and friction. The features of Brownian diffusive motion and thermophoresis are disclosed. Governing problems are transformed into nonlinear ordinary problems using appropriate transformations. Numerical Runge–Kutta procedure is applied using MATLAB to solve the problems and acquire the data for velocity field, thermal distribution, and concentration distribution. Results have been plotted graphically. The outcomes indicate that higher viscosity results in decline in fluid flow. Thermal profile receives a decline for larger viscosity parameter; however, Brownian diffusion and thermophoresis appeared as enhancing factors for the said profile. Numerical data indicate that heat flux reduces for viscosity parameter. However, enhancement is observed in skin-friction for elevated values of porosity factor. Data of this paper are practically helpful in industrial and engineering applications of nanofluids.

Multi-Scale Simulation of Nanoparticle Transport and Deposition in Tissue During a Nanofluid Injection Process

2009 ◽  
Author(s):  
Di Su ◽  
Ronghui Ma ◽  
Liang Zhu ◽  
Maher Salloum
Keyword(s):  
Concentration Distribution ◽  
Transport Model ◽  
Particle Surface ◽  
Dynamics Simulation ◽  
Nanoparticle Concentration ◽  
Brownian Dynamics Simulation ◽  
Carrier Fluid ◽  
Injection Process ◽  
Injection Parameters ◽  
Tracking Model

In magnetic nanoparticle hyperthermia for cancer treatment, controlling nanoparticle is vital for managing heat deposition and temperature elevations in clinical applications. In this study, we first perform a numerical simulation of magnetic nanofluid transport in agarose gel during an injection process and explore the relationship between the spreading shapes of the nanofluid in gel and injection parameters. We also simulate the nanoparticle concentration distribution in tissues after being injected into the extracellular space under various injection parameters. The model consists of two components. One is a particle trajectory tracking model (PTTM) which can predict the deposition rate of nanoparticle on the porous matrix in a single pore structure by using a Lagrangian Brownian Dynamics simulation method. The other one is a macroscale transport model of nanofluid in saturated porous structures. This study provides advanced understanding of nanofluid transport behavior in a porous structure. Our results show that the gap formed surrounding the needle may cause a back flow and can significantly affect the shape of nanofluid spreading. For small-sized nanoparticle (10nm) with zero surface zeta potential, the filtration effect dominates the particle distribution. The effect of other conditions like nanoparticle size, particle surface coating, and physic-chemical properties of carrier fluid on nanoparticle concentration distribution is under study.

scholarly journals Consequences of Soret–Dufour Effects, Thermal Radiation, and Binary Chemical Reaction on Darcy Forchheimer Flow of Nanofluids

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1421 ◽  
Author(s):  
Ghulam Rasool ◽  
Anum Shafiq ◽  
Dumitru Baleanu
Keyword(s):  
Temperature Distribution ◽  
Velocity Field ◽  
Thermal Radiation ◽  
Chemical Reaction ◽  
Concentration Distribution ◽  
Tabular Data ◽  
Data Form ◽  
Highly Nonlinear ◽  
Physical Quantities ◽  
Forchheimer Flow

This research article aims to investigate the consequences of binary chemical reaction, thermal radiation, and Soret–Dufour effects on a steady incompressible Darcy–Forchheimer flow of nanofluids. Stretching surface is assumed to drive the fluid along positive horizontal direction. Brownian motion, and the Thermophoresis are accounted in particular. The governing highly nonlinear system of problems which are advanced version of Navier–Stokes equations are transformed into ordinary differential equations (ODEs) using appropriately adjusted transformations invoking symmetric property of the independent variables. The numerical approach using RK45 in connection with shooting technique is adopted to solve the final equations. Graphical approach is used to interpret the results and the values of important physical quantities are given in tabular data form. Velocity field, temperature distribution and concentration distribution are graphically analyzed for variation in respective fluid parameters. Furthermore, density graphs and stream lines are sketched for the present model. The outputs indicate a rise of temperature field in connection with thermal radiation parameter. A clear decline is noticed in velocity field for elevated values of Forchheimer number and porosity factor. The Dufour effect anticipates a rising factor for temperature distribution and the same is noticed for concentration distribution in lieu of Soret effect. Thermal radiation and binary chemical reaction has strong impact on heat transport mechanism. The results for physical quantities such as skin friction, heat and mass flux rates are given in tabular data form in last section of this study.

2D Simulation of Flow and Sludge Distribution in a Circular Secondary Clarifier

2012 ◽  
Vol 468-471 ◽  
pp. 798-801
Author(s):  
Y.L. Liu ◽  
P. Zhang ◽  
W.L. Wei
Keyword(s):  
Velocity Field ◽  
Secondary Flow ◽  
Concentration Distribution ◽  
Two Phase ◽  
2D Simulation ◽  
Proposed Model ◽  
Secondary Clarifier ◽  
Phase Mixture ◽  
Solid Liquid ◽  
Sludge Concentration

In this paper, we use solid–liquid two-phase mixture model and the Realizable k-ε turbulence model to numerically simulate the advection secondary flow and sludge concentration distribution in a circular secondary clarifier. The PISO algorithm is used to decouple velocity and pressure. The velocity field and the sludge concentration distribution are obtained by the proposed model.

scholarly journals The effect of the contaminant emission rate on the velocity field and contaminant distribution with the presence of an obstacle in a large space

2019 ◽  
Vol 111 ◽  
pp. 02061
Author(s):  
Qianru Zhang ◽  
Chengqiang Zhi ◽  
Yixiang Huang ◽  
Wei Ye ◽  
Jun Gao ◽  
...  
Keyword(s):  
Velocity Field ◽  
Concentration Distribution ◽  
Cfd Simulation ◽  
Emission Rate ◽  
Emission Rates ◽  
Large Space ◽  
Dimensionless Concentration ◽  
Low Emission ◽  
Negative Buoyancy ◽  
Contaminant Distribution

In the industrial field, the prediction of the contaminant gas distribution is very meaningful. However, when the leakage is high, not only the contaminant distribution will not follow the pattern of the original flowfield, but the contaminant buoyancy or negative buoyancy will affect the flowfield conversely. In this study, we focus on the effect of the contaminant emission rate on the velocity field and contaminant distribution with an obstacle in a large space by means of CFD simulation. Two leaking positions and five emission rates of the source have been taken into consideration. When the emission rate is high enough, the flowfield structure will be altered and new vortexes will appear. The contaminant dimensionless concentration distribution is totally different from the low-emission-rate conditions. The flammable region becomes significant, which leads to the potential risk of explosion.

Quantification of MicroCT Image Intensity and Nanoparticle Concentration in Agarose Gel

2012 ◽  
Author(s):  
A. LeBrun ◽  
N. Conn ◽  
A. Attaluri ◽  
N. Manuchehrabadi ◽  
Z. Huang ◽  
...  
Keyword(s):  
Concentration Distribution ◽  
Magnetic Nanoparticle ◽  
Experimental Studies ◽  
Index Number ◽  
Nanoparticle Concentration ◽  
Nanoparticle Distribution ◽  
Tissue Equivalent ◽  
Magnetic Nanoparticle Hyperthermia ◽  
Scanned Images ◽  
Microct Imaging

In recent years, magnetic nanoparticle hyperthermia has attracted a lot of attentions in cancer treatment due to its ability to confine heat within the tumor with minimal collateral thermal damage to the surrounding healthy tissue.1–4 The success of the treatment using magnetic nanoparticles depends on careful planning of the heating duration and achieved temperature elevations. It has been demonstrated by previous research that the generated volumetric heat generation rate or Specific Absorption Rate (SAR) should be proportional to the nanoparticle concentration distribution in the tumors. The difficulty encountered by bioengineers is that the nanoparticle concentration distribution is often unknown, since the tissue is opaque. Recently, high-resolution microCT imaging technique has been used to visualize magnetic nanoparticle distribution in tumors. MicroCT has been shown to generate detailed 3-D density variations induced by nanoparticle depositions in both tissue-equivalent gels and tumor tissues.5–6 However, experimental studies are still needed to quantify the relationship between the microCT pixel index number shown in the scanned images and the actual nanoparticle concentrations.

Sign in / Sign up

Export Citation Format

Share Document