Alumina Nanofluids Research Articles

Effect of Boundary Layer Modification and Enhanced Thermal Characteristics on Tribological Performance of Alumina Nanofluids Dispersed in Lubricant Oil

Effect of Boundary Layer Modification and Enhanced Thermal Characteristics on Tribological Performance of Alumina Nanofluids Dispersed in Lubricant Oil

Effect of alumina nanofluids on bubble dynamics and heat transfer under quiescent conditions

Thermal management of high heat loads is a relevant problem in various industrial applications. Nanofluids used in pool boiling based cooling systems are pointed as an attractive solution, but controversial results reported in the literature preclude a wider use of such cooling solutions. On the other hand, high costs are often reported to the fabrication of small quantities of nanoparticles, so cost-effective solutions are needed. Despite of the extensive research performed on pool boiling heat transfer of nanofluids, detailed studies on bubble dynamics and on their relation with pool boiling heat transfer is still scarcely reported in the literature. Hence, the present work addresses the effect of a cost-effective nanoparticle (alumina, Al2O3) in pool boiling heat transfer of water based nanofluids. The analysis performed here combines high-speed visualization with time and space resolved thermography to relate bubble dynamics and heat transfer. Results show that although alumina particles do not significantly affect single bubble dynamics, they result in a significant heat transfer enhancement. Hence, concentrations of 3wt% of Al2O3 lead to 38% in surface temperature reduction compared to that observed with water and an increase of 61% in the heat transfer coefficient. However, additional studies must be performed to infer if the use of such high nanoparticle concentrations is effectively beneficial, given the resulting issues (e.g. stability problems).

Spectral Simulation on the Flow Patterns and Thermal Control of Radiative Nanofluid Spraying on an Inclined Revolving Disk Considering the Effect of Nanoparticle Diameter and Solid–Liquid Interfacial Layer

Abstract The current work enlightens the flow pattern and thermal scenario of a nanofluid spraying on an inclined permeable rotating disk. The whirling disk is assumed to revolve with the angular speed Ω. The water-based alumina (Al2O3) nanofluid is considered as a functioning liquid. The nanofluid spraying is treated to be magnetically influenced and thermally radiative. The perception of the nanoparticles' diameter and solid–liquid interfacial layer is incorporated precisely at the nanolevel to observe the thermal variations of the nanofluidic motion. How the magnetic effect, permeability, and nanolayer affect nanofluidic transportation is revealed in detail. The leading flow equations are altered nondimensional using apposite similarity translation, and the spectral quasi-linearization method (SQLM) is instigated to tackle those multi-ordered nonlinear equations. Various three-dimensional figures, graphs, and tables are described to detect and analyze the hydrothermal variations. The linear regression slope technique is addressed to extract the reduction or enhancement rate of heat transference. Also, the probable error is estimated statistically to assure that hydrothermal characteristic is correlated with physical parameters. The consequences indicate enhanced heat transport for nanolayers, but reduced heat transmission for nanoparticles' diameter. Thermal profile intensifies for thickness parameter and impermeable surface, whereas decreases for nanoparticles' diameter.

Thermofluid characterization of nanofluids in spray cooling

The current study addresses a parametric characterization of nanofluid sprays as a way to improve the thermal performance of spray cooling systems. The nanofluids are prepared using as base solution of distilled water with 0.05% (m/m) cetyltrimethylammonium bromide – CTAB in which nanoparticles of alumina and silver are mixed at different concentrations, namely 0.5%, 1% and 2% (m/m). The effect of the shape of the nanoparticles is also considered. These nanofluids are sprayed using a pressure-swirl atomizer and impact, vertically at two different heights, onto an AISI 304 stainless steel foil. This foil is heated by Joule effect, with two imposed currents, delivering 915 and 2100 W/m2. Infrared thermography is used to measure the thermal footprint from which the dissipated heat flux is calculated. Results show that, in steady state operation, the lowest surface temperature is obtained with the 0.5% (m/m) alumina nanofluid, while increasing alumina nanoparticles, concentration increases the radial temperature distributions on the surface. Results also show a mild effect of the shape of the nanoparticles. Hence, lowest surface foil temperatures are achieved with the silver nanofluid with spherical particles, when compared with the same nanofluid with triangular particles. Heat transfer coefficients decreased with increasing thermal conductivity and dynamic viscosity of the nanofluids. On the other hand, a positive correlation is found between the specific heat capacity of the nanofluids and the spray cooling capacity. For the range of experimental conditions covered in this work, nanofluids have proven to increase the thermal performance of the spray.

Effect of Green Processing on Enhancement of Thermal Conductivity of Nanofluid for Thermal Applications

Thermal tuning properties of nanofluid from lower to higher value is a challenging issue in the field of thermal industries and microelectronic industries as well as in medical sciences. Nanofluids of aluminum oxide has been prepared with different volume fraction varies from 0.01– 0.05 vol%. The crystal structure and surface shape of the synthesized aluminum oxide nano powder has been studied using X-ray diffraction technique (XRD), scanning-electron-microscopy (SEM) and electron transmission microscopy (TEM). The nanofluids are characterized by experimental technique such as FTIR, UV-visible, photoluminescence and particle distribution with particle size analyzer. Thermal conductivity of the alumina nano fluid was found to vary from 0.5378–0.7299 W/mK for volume percentage 0.01–0.05 respectively with enhancement from 1.8 % to 21.44% which is better than other works in the literature. With increase of sonication time, thermal conductivity varies appreciably from 0.531–0.736 W/mK with volume fraction of nanofluid. This significant increase in thermal conductivity of alumina nanofluid in different operating condition may be attributed to extraction and oxidation of alumina nitrate assisted with leaf extracted surfactants.

Analysis on thermal conductivity of green processed alumina nanofluid for thermal industries

The dual mechanism played by curry leaf extract on synthesis of alumina nanoparticles contributes a significant enhancement in thermal conductivity of alumina nanofluid with appreciably small volume fraction from 0.01%–0.05%. The most probable particle size of alumina nanoparticle dispersed in water of 3.12 nm observed from particle size analyser along with a strong absorption peak at λ max around 238 nm confirms the alumina nanoparticles in the fluid. The increase of energy band gap from 4.8 to 5.12 eV indicates the decrease in size of the nanoparticle solely attributed to contribution of curry leaf extraction method of preparation of nanoparticles. The spherical shaped alumina nanoparticle has got high thermal conductivity with enhancement from 1.8% to 21.44% which is attributed to the significant contribution of H-atom as energy storage unit in water. With increase of sonication time, thermal conductivity varies appreciably from 0.531 W mK−1 to 0.736 W mK−1 with volume fraction of nanofluid. Therefore, the novel combinations of characterised properties of Al2O3 nanofluid have proved to be the best thermally stable heat transfer fluid compared to conventional cooling fluids.

Numerical modeling of heat transfer performance and optimization of car radiator using (H2O/Al2O3) nanofluids as coolant

The combustion of fuel in an engine is an exothermic reaction that releases a tremendous amount of heat. Some of this heat is escapes with the exhaust gases while the remaining is absorbed by the engine parts. Excessive heating of the engine cylinder can lead to the premature detonation of the air-fuel mixture in the cylinder, piston scuffing, damage of valves and guides, thermal stress buildup and gasket failure. Most engines utilize a liquid cooling system to transfer the heat from the engine to the surroundings. The radiator is a vital part of an automobile cooling system. Water and other coolants such as ethylene glycol are usually applied to dispel heat from the engine to the environment through the radiator. Nanofluids have a higher thermal conductivity than water and ethylene glycol, and for this reason, it has been receiving attention as a better alternative to the conventional coolants. In this study, the thermal performance of water and aluminum oxide nanofluids were investigated numerically. The radiator understudy was a crossflow radiator. Solidworks 2017 flow simulation software was used to carry out the numerical investigation. The same inlet temperature, flow rate and environmental conditions were used for both the water and nanofluid coolant operating in the radiator. Four different concentrations of the nanofluid were considered in this study, to determine the effect of concentration on the performance of the radiator. At a 1% concentration of Al2O3, the enhancement in the heat transfer rate and heat transfer coefficient (coolant side) are 0.86% and 6.98% respectively. While at 4% concentration, the enhancement in heat transfer rate and heat transfer coefficient is 12.03% and 14.31% compared to water. The results of this study prove that nanofluid is a better heat transfer fluid compared to water and serve as a better alternative for application in car radiators.

A two-phase model for studying the complex interplay between natural convection and magnetic field in aluminum-oxide/water nanofluid

While previous experimental studies revealed the existence of optimal heat transfer performance in natural convection of magnetohydrodynamic (MHD) nanofluid flows, it is believed that this phenomenon is not unique in different levels of magnetic flux density. In order to prove this speculation, we numerically investigate the influence of the magnetic field on steady natural convection of aluminum-oxide (Al2O3) nanofluids inside an enclosure. The MHD flow model without the consideration of nanofluids is well validated against theoretical, numerical, and experimental results. The nanofluid in the present investigation has temperature-dependent physical properties and is modeled by a two-phase mixture considering thermophoresis and Brownian diffusion. While varying the volume fraction of nanoparticles from 0 to 6%, we methodically examine the effect of the Hartmann number on the heat transfer performance through the thermal behavior map in terms of the Hartmann–Rayleigh plane. Depending on the combination of magnetic intensity and buoyancy-induced flow, the nanofluid heat transfer with the addition of various concentrations of nanoparticles can be categorized into two patterns separated by a critical Hartmann number: the presence of a maximum Nusselt number (Type A) and continuously increased heat transfer rates (Type B) over a wide range of the Rayleigh number from 103 to 106 and the Hartmann number from 0 to 300. Described by a piecewise-defined function, the critical Hartmann number is exponentially proportional to the Rayleigh number from 104 to 106 and rises linearly in a logarithmic scale with elevating the Rayleigh number from 103 to 104.

Aiding (opponent) flow of hybrid copper–aluminum oxide nanofluid towards an exponentially extending (lessening) sheet with thermal radiation and heat source (sink) impact

This project considers a hybrid nanofluid flow of heat transmission towards an extending (lessening) surface with the effects of thermal radiation and non-uniform heat source/sink. The mixture nanofluid involves copper (Cu) and alumina (Al2O3) nano-molecules which are diluted into H2O to form Cu–Al2O3/H2O hybrid nanofluid. The governing partial differential equations derived from Navier-Stokes equations are converted into nonlinear ordinary differential equations via similarity transformations. The model of nonlinear coupled equations is then resolved numerically by applying the boundary-value problem solver (bvp4c) using MATLAB package. The numerical computations have been performed for different amounts of potential factors like nano-molecules size Al2O3(φ1) and Cu (φ2), Prandtl number (Pr⁡), radiative parameter (R), velocity ratio parameter ε, and assisting/opposing parameter (λ) on the fluid flow. The effect of the parameters on speed and energy outlines, drag force coefficient, and local Nusselt number at the wall of the nanofluid flowing and heat transmission features are presented graphically and evaluated. Radiation and heat generation parameters have a significant effect on flow profiles and their physical properties. We also observe that the heat boundary-layer thickener boosts with rising amounts of R and heat raises with big amounts of the heat source (sink). Cu–Al2O3/water has a higher heat transmission rate in comparison with Cu-water water nanofluid and water (base fluid). Comparison between the earlier available works and the current computational consequence for the restrictive status is in an adequate covenant.

Heat transfer investigation in Darcy–Forchheimer model by using nanoparticles

The analysis of nanofluid dynamics in a bounded attained much attention of the researchers, engineers, and industrialists. These fluids became much popular in the researcher’s community due to their broad uses regarding the heat transfer in various industries, fluid flowing in engine and aerodynamics as well. Therefore, the analysis of alumina and -alumina nanofluid is organized between curved stretching surfaces. It has been found that nanoparticles of and with various base fluids can be compared analytically and numerically. Ethylene glycol and water are the two primary fluids in the system. This article is the first to examine the flow of the nanofluid boundary layer over a curved surface. These partial differential equations are turned into conventional differential frameworks using appropriate transformations. The problem reduced in the form of dimensionless system and then solved by employing ND Solve procedure. For the sake of validity, the results checked with numerical scheme and found to be excellent. Further, it is examined that the nanofluids move slowly by ethylene glycol and water. Data for velocity, temperature, skin friction coefficient and reduced Nusselt number are plotted in the graphs that accompany this article .

Cooling a plate lithium-ion battery using a thermoelectric system and evaluating the geometrical impact on the performance of heatsink connected to the system

In this paper, the cooling process of a plate lithium-ion battery cell using thermoelectric is simulated. The cold part of the thermoelectric is placed on the battery and a heatsink with a number of pin fins is mounted on the hot part of the thermoelectric. Pin fins have elliptical, circular, triangular, and trapezoidal shapes. They are placed in a channel saturated with alumina nanofluids (NFs). By changing the Reynolds number (Re) of NFs flow between 300 and 600 for different types of pin-fins, the values of battery and heatsink temperature, NFs output temperature, and pressure drop (DP) are examined. The battery cooling system is modeled using COMSOL Multiphysics software. The findings show that utilizing triangular pin-fins creates the greatest DP in the channel, and the output NFs temperature is greater than using other pin-fins. The oval pin fin leads to the minimum DP and NFs temperature drop in the channel. The use of a triangular pin-fins results in the minimum temperature on the battery and the heatsink, while the elliptical pin-fins cause the maximum temperature (Tm) on the battery and the heatsink. As the Re enhances from 300 to 600, the DP is enhanced 4.85 and 7.67 times for the elliptical and triangular pin fins, respectively.

Closed-loop aluminium oxide nanofluid cooled photovoltaic thermal collector energy and exergy analysis, an experimental study

PV/T collector cooling was studied experimentally regarding the energy and exergy analysis by Al2O3 nanofluid circulation which is in two different flow patterns. A 20 W polycrystalline PV module was used as a comparison module. Identical PV modules were used for the construction of PV/T collectors, too. PV/T-A collector model was created with the PV module, a copper coil tube was the nanofluid circulated was placed to the backside of it. A PV/T-B collector was made up by placing the Al2O3 nanofluid circulating polyamide channel structure on the backside of the PV module. A 50 W monocrystalline PV module was used to supply power to the circulation pump and heat exchanger fans to provide energy independence from mains electricity. PV/T-A and PV/T-B collectors exposed to 792.83 W/m2 solar radiation equivalent 121.3 W solar power were cooled 28.94% and 48.54% better regarding the PV module. Electrical power outputs are 5.8 W, 8.13 W, 10.34 W for the PV module, PV/T-A, and PV/T-B collectors. Electrical gaining from the PV/T-A and PV/T-B collectors increased 40.17% and 78.27% by cooling. Thermal gaining from PV/T-A and PV/T-B collectors are 42.8 W and 53.39 W. First and second law efficiencies were determined as 4.78%, 42%, 52.52%, and 5.01%, 7.35%, and 9.42% for PV module, PV/T-A, and PV/T-B collectors. Enhancement in solar utilization with PV/T-A and PV/T-B collectors are 45.13 W, and 57.93 W and proportionate equivalents to 37.2% and 47.75%. Enviro-economics size was estimated as 0.094 tCO2/year, and 0.121 tCO2/year carbon reduction and equivalent 1.41$ and 1.81$ carbon trade value.

SDS-Aluminum Oxide Nanofluid for Enhanced Oil Recovery: IFT, Adsorption, and Oil Displacement Efficiency.

Surfactant flooding is one of the most promising chemical enhanced oil recovery (CEOR) methods to produce residual oil in reservoirs. Recently, nanoparticles (NPs) have attracted extensive attention because of their significant characteristics and capabilities to improve oil recovery. The aim of this study is to scrutinize the synergistic effect of sodium dodecyl sulfate (SDS) as an anionic surfactant and aluminum oxide (Al2O3) on the efficiency of surfactant flooding. Extensive series of interfacial tension and surfactant adsorption measurements were conducted at different concentrations of SDS and Al2O3 NPs. Furthermore, different surfactant adsorption isotherm models were fitted to the experimental data, and constants for each model were calculated. Additionally, oil displacement tests were performed at 25 °C and atmospheric pressure to indicate the suitability of SDS–Al2O3 for CEOR. Analysis of this study shows that the interfacial tension (IFT) reduction between aqueous phase and crude oil is enhanced considerably by 76%, and the adsorption density of SDS onto sandstone rock is decreased remarkably from 1.76 to 0.49 mg/g in the presence of these NPs. Although the effectiveness of NPs gradually increases with the increase of their concentration, there is an optimal value of Al2O3 NP concentration. Moreover, oil recovery was increased from 48.96 to 64.14% by adding 0.3 wt % NPs to the surfactant solution, which demonstrates the competency of SDS–Al2O3 nanofluids for CEOR.

Assessment of wettability and rock-fluid interfacial tension of caprock: Implications for hydrogen and carbon dioxide geo-storage

Underground hydrogen (H 2 ) storage (UHS) and carbon dioxide (CO 2 ) geo-storage (CGS) are prominent methods of meeting global energy needs and enabling a low-carbon global economy. The pore-scale distribution, reservoir-scale storage capacity, and containment security of H 2 and CO 2 are significantly influenced by interfacial properties, including the equilibrium contact angle ( θ E ) and solid-liquid and solid-gas interfacial tensions ( γ S L and γ S G ). However, due to the technical constraints of experimentally determining these parameters, they are often calculated based on advancing and receding contact angle values. There is a scarcity of θ E , γ S L , and γ S G data, particularly related to the hydrogen structural sealing potential of caprock, which is unavailable in the literature. Young's equation and Neumann's equation of state were combined in this study to theoretically compute these three parameters ( θ E , γ S L , and γ S G ) at reservoir conditions for the H 2 and CO 2 geo-storage potential. Pure mica, organic-aged mica, and alumina nano-aged mica substrates were investigated to explore the conditions for rock wetting phenomena and the sealing potential of caprock. The results reveal that θ E increases while γ S G decreases with increasing pressure, organic acid concentration, and alkyl chain length. However, γ S G decreases with increasing temperatures for H 2 gas, and vice versa for CO 2 . In addition, θ E and γ S L decrease, whereas γ S G increases with increasing alumina nanofluid concentration from 0.05 to 0.25 wt%. Conversely, θ E and γ S L increase, whereas γ S G decreases with increasing alumina nanofluid concentration from 0.25 to 0.75 wt%. The hydrogen wettability of mica (a proxy of caprock) was generally less than the CO 2 wettability of mica at similar physio-thermal conditions. The interfacial data reported in this study are crucial for predicting caprock wettability alterations and the resulting structural sealing capacity for UHS and CGS. • The equilibrium contact angle ( θ E ) increases with pressure and organic concentration but decreases with temperature. • The solid-gas interfacial tension ( γ S G ) decreases with pressure and organic concentration but increases with temperature. • The solid-liquid interfacial tension ( γ S L ) and θ E decreases, whereas γ S G increases with increasing alumina nanofluid concentration. • Mica hydrogen wettability is less than mica CO 2 wettability in all physio-thermal conditions.

Numerical assessment on the hydrothermal behaviour and entropy generation characteristics of boehmite alumina nanofluid flow through a concentrating photovoltaic/thermal system considering various shapes for nanoparticle

The present numerical study has been conducted to answer the question of whether changing the type of nanoadditives (NAs) significantly changes the first-law and second-law performances of a nanofluid-based photovoltaic/thermal (PV/T) device. The utilized nanofluid is water/ethylene glycol-boehmite alumina in which NAs can have 5 different shapes including platelet, brick, blade, cylindrical and spherical. In addition, how the PV/T device performance changes with the Reynolds number (Re) and NA volume concentration (φ) is also investigated. It was disclosed that the highest overall efficiency of the PV/T device belongs to the system filled with boehmite alumina nanofluid with platelet NAs atRe = 2000 andφ = 2%. Moreover, the results illustrated that the lowest total entropy generation belongs to the PV/T device filled with platelet NAs atRe = 2000 andφ = 1.5%. Furthermore, it was observed that elevation of Re is associated with decrement of PV/T overall efficiency and increment of total entropy generation rate.

Performance Enhancement of a Photovoltaic Module by Passive Cooling Using Water-Based Aluminum Oxide Nano-Fluid

Performance Enhancement of a Photovoltaic Module by Passive Cooling Using Water-Based Aluminum Oxide Nano-Fluid

Thermal performance enhancement of nanofluids based parabolic trough solar collector (NPTSC) for sustainable environment

Due to rapid industrialization and urbanization, upward rise in carbon emissions in the atmosphere, and depletion of fossil fuel and gas reserves have forced to find alternative renewable energy resources, where solar energy is one of the most promising source. Parabolic trough solar collectors (PTCs) can effectively transfer high temperature in the tube of receiver upto 400 °C. In this study, Computational Fluid Dynamics (CFD) analysis is used to analyse the effect of multiple working fluids on efficiency of the PTC. Two different types of nanofluids used for analyising the thermal efficiency of PTC through CFD simulations, are Alumina and Copper-oxide nanofluids. The concentration of Copper Oxide and Alumina was kept to 0.01% in the nanofluids. The efficiency for PTC is calculated at two different mass flow rates i.e., 0.0112 Kg/s and 0.0224 Kg/s. The highest efficiency is 13.01 and 13.1% using Al2O3 as nanofluids at 0.0112 Kg/s and 0.0224 Kg/s flow rates, while CuO has an efficiency of 13.92% and 14.79% for these flow rates. The behaviour of absorber tube material on temperature distribution for steel, copper and aluminum as absorber tube material was also investigated. Changing the material from steel to copper and aluminum increased the outlet temperature of the fluid. The maximum output temperature was achieved for copper is 311 K while steel and aluminum showed lower temperature of 307 K and 308 K of the fluid at the outlet. Furthermore, the impact of the receiver tube’s length on the working fluid’s temperature is also studied. Copper Oxide nanofluid has higher temperature at the outlet for both mass flow rates as compared to alumina nanofluid. Accordingly, a comparison was made for the CFD results with the experimental findings from literature. The nanofluids based PTCs system is promising method for the sustainable environment applications.

Heat transfer analysis and entropy generation in the nanofluids composed by Aluminum and [formula omitted] Aluminum oxides nanoparticles

A porous rotating disk is used to study the second law of thermodynamics in relation to an electrically conducting, incompressible γ− alumina nanofluid. An external uniform vertical magnetic field. Base fluids are ethylene glycol and water. Alumina nanofluids make use of the experimentally derived viscosity and thermal conductivity models, as well as Brinkman viscosity and Maxwell's thermal conductivity models. Nuclear propulsion space vehicles can use the results of this research in rotating magnetohydrodynamic (MHD) energy generators and also thermal conversion processes. With shooting approach, fourth order Runge–Kutta method is used to solve the governing boundary layer equations numerically. The entropy generation equation can be obtained from the velocity and temperature gradients, respectively. There is a high level of agreement between the current study's findings and those of previously published studies. Using geometric and physical flow field-dependent parameters, this equation is nondimensional. Researchers have discovered that there are three types of velocity profiles that can be obtained: radial (or circumferential) velocity profiles, and tangential velocity profiles (radial velocity profiles). The influence of nanofluid type on fluid velocity, temperature, entropy generation, Bejan number, skin friction coefficient, and Nusselt number has been investigated. The same nanoparticles are expected to behave differently in temperature profiles with water and ethylene glycol. As well as demonstrating the potential of using magnetic rotating disk motors in revolutionary nuclear space propulsion engines, this model is valuable for increasing heat transfer in renewable energy systems and industrial thermal management.

The empirical correlation between the parameters influencing the performance and emissions of CI engine run by aqueous nanofluid fuel blends using response surface methodology

Experimental research has been conducted to study the influence of aqueous nanofluids such as aqueous zinc oxide nanofluid (ZN), aqueous aluminium oxide nanofluid (AN), aqueous cerium oxide nanofluid (CN) on performance and the emission behavior of a compression-ignition engine powered by blends of nanofluids. In this research, the dosage levels of aqueous nanofluid vary with diesel. For each nanofluid, four dosage levels, namely 3%, 4%, 5%, and 6% by weight, are identified and twelve blends are prepared. The effects of aqueous nanofluids on various chemical and physical properties of diesel are studied. Load tests on the engine with blends and diesel are carried out. The combustion characteristics, performance, and exhaust emissions of the blends are studied and compared to pure diesel. The results obtained indicate that the blends with 5% of CN, 5% of AN, and 5% of ZN showed better results among their other blends and the blend with 5% of CN showed the best performances compared to all blends and diesel. Compared to diesel, the 5% CN blend produced 6.28% more brake thermal efficiency and a reduction of 36.36% in hydrocarbons, 17.24% in carbon monoxide, 18.75% in nitrogen oxides and 30% in smoke emissions at maximum rated load.

Cattaneo–Christov heat flux effect on MHD peristaltic transport of Bingham Al2O3 nanofluid through a non-Darcy porous medium

The present investigation analyzes the influence of Cattaneo–Christov heat and mass fluxes on peristaltic transport of an incompressible flow. The fluid is obeying Bingham alumina nanofluid. The fluid flows between two co-axial vertical tubes. The system is expressed by a varying radially magnetic field with respect to the space. Soret effect and non-Darcy porous medium are taken into account. The governing system of equations is tackled by utilizing the approximations of long wave length with low Reynolds number and with the help of homotopy perturbation method (HPM). It is noticed that the axial velocity magnifies with an increase in the value of Bingham parameter. Meanwhile, the value of the axial velocity reduces with the elevation in the value of the magnetic field parameter. On the other hand, the elevation in the value of thermal relaxation time leads to a reduction in the value of fluid temperature. Furthermore, increasing in the value of mass relaxation time parameter makes an enhancement in the value of nanoparticles concentration. It is noticed also that the size of the trapped bolus enhances with the increment in the value of Bingham parameter. The current study has many accomplishments in several scientific areas like medical industry, medicine, and others. Therefore, it represents the depiction of the gastric juice motion in the small intestine when an endoscope is inserted through it.