Oil-based Nanofluids Research Articles

Computational analysis of entropy generation minimization and heat transfer enhancement in magnetohydrodynamic oscillatory flow of ferrofluids

Improvements in heat transfer rate and entropy generation minimisation are critical issues in many engineering and industrial applications where efficient heat transfer is essential to achieve optimal performance and lower energy consumption. This study investigates the entropy generation of the mixed convection flow of ferrofluids in the presence of viscous and Joule dissipation. The flow is oscillatory and induced by the sinusoidal oscillations of a flat plate in its plane. Two Newtonian fluids, namely, kerosene oil C12H26C15H32 and methanol CH3OH are considered base fluids containing magnetite Fe3O4 nanoparticles. Governing equations are first modelled by employing the fundamental laws of transport phenomena. Then, using scaling analysis, these equations are transformed into a dimensionless system of partial differential equations. Numerical simulations are performed using the Gear-Generalized Differential Quadrature Method (GGDQM), and the model is validated with special cases from the literature. It has been found through numerical analysis that the convergence of GGDQM can be guaranteed by using only a small number of grid points. The thermal boundary layer of methanol-based nanofluid is thicker than that of kerosene. It has been observed that the skin friction coefficient increases for both categories of nanofluids as the values of the Eckert number, solid volume fraction, and Grashof number increase. The Nusselt number increases as the solid volume fraction increases, while the opposite trend is observed when the values of the Hartman, Eckert, and Grashof numbers rise. With increasing values of the Grashof number, the rise in the velocity of methanol-based nanofluids is higher than that of kerosene oil-based nanofluids. The maximum percentage difference between the velocities is identified to be 22.2177% at Gr=4.0. The temperature of methanol-based nanofluids rises more quickly than that of kerosene oil-based nanofluids with increasing values of the Grashof number. It is determined that the largest percentage difference between the temperatures is 20.5968% at Gr=4.0. When Ec=0, the percentage difference between velocities is 29. 1721 %, while the percentage difference between temperatures is 78.7155%. Compared to methanol-based ferrofluid, the volumetric entropy production is more extensive in kerosene-based ferrofluid. On the other hand, in comparison to a kerosene-based nanofluid, thermal irreversibility predominates in a methanol-based nanofluid. The novelty of this study lies in the computational treatment of coupled partial differential equations (momentum and energy) that incorporate buoyancy force, Joule heating and viscous dissipation effects, complementing the underlying physics and mathematical modelling of the research problem.

MHD second-grade nanofluid slip flow over a stretching sheet subject to activation energy, thermophoresis, and Brownian effects

In this work, the magnetohydrodynamic flow of two engine oil-based second-grade nanofluids Copper (Cu) and Titanium oxide (TiO 2) over a penetrable stretching sheet is studied. The flow, heat and mass transfer characteristics in the existence of activation energy, inclined magnetic field, Brownian diffusion, elastic deformation, and thermophoresis are examined. The coupled nonlinear model equations are formulated by implementing the Modified Buongiorno model and then are non-dimensionalized by the similarity transformation technique. The non-dimensional equations are simulated numerically using the bvp4c solver. Graphs are plotted to study the flow behaviour of nanofluid with the rate of entropy generation and Bejan number. The outcomes of skin friction coefficient, Nusselt number and Sherwood number are exhibited via surface plots. From the analysis, a higher inclination of the magnetic field decays the velocity and amplifies the temperature profiles. The heat transport rate diminishes with the Brownian diffusion, thermophoresis and elastic deformation parameters. The mass transport rate is accelerated due to the activation energy parameter. The entropy generation rate is enhanced with the Brinkman, Biot and local Reynolds numbers. Furthermore, it is seen that engine oil-based TiO 2 nanofluid has larger velocity, temperature and rate of entropy generation than engine oil-based Cu nanofluid. The current examination has applications in automobile radiators, microchips, biomedical engineering, and extraction of geothermal power.

A numerical exploration of the comparative analysis on water and kerosene oil-based Cu–CuO/hybrid nanofluid flows over a convectively heated surface

The fluid flow over an extending sheet has many applications in different fields which include, manufacturing processes, coating, thin film decomposition, heat and mass transfer, biomedical applications, aerospace engineering, environmental science, energy production. Keeping in mind these applications, the non-Newtonian hybrid nanofluid flow comprising of Cu and CuO nanoparticles over an extending sheet is analyzed in this work. Two different base fluids called kerosene oil and water have been incorporated. The sheet is considered to be thermally convective along with zero mass flux condition. The main equations of modeled problem have been transformed to dimensionless form by using similarity variables. The designed problem is evaluated computationally by using bvp4c Matlab function. Validation of the present results is also performed. The impacts of magnetic, Brownian motion, chemical reaction, suction and thermophoresis factors are analyzed and discussed in details. The outcomes of the present investigation declare that the kerosene oil-based hybrid nanofluid flow has greater velocity and concentration profiles than that of the water-based hybrid nanofluid flow. The water-based hybrid nanofluid has greater temperature distribution than that of kerosene oil-based hybrid nanofluid flow. The streamlines of the kerosene oil-based Newtonian and non-Newtonian hybrid nanofluid flows are more stretched than water-based Newtonian and non-Newtonian hybrid nanofluid flows.

Analysis of properties and statistical study on partial discharge inception voltage using normal and Weibull distributions for vegetable oil-based nanofluids

Analysis of properties and statistical study on partial discharge inception voltage using normal and Weibull distributions for vegetable oil-based nanofluids

Production and characterization of CuNiZnFe2O4 dispersed transformer and kerosene oil based magnetic nanofluids for heat transfer applications

This study produced nanofluids via a two-step method by dispersing copper–nickel–zinc (CuNiZnFe2O4) ferrite nanocomposites in transformer and kerosene oils. A sol–gel auto-combustion approach was adopted to synthesize ferrite nanoparticles. The prepared nanoparticles were analyzed through scanning electron microscopy, photoluminescence spectroscopy, and x-ray diffraction. The measured crystallite size varied between 11 and 13 nm. The SEM images show that the structures of the developed CuNiZn nanoparticles are irregular. The photoluminescence results give a bandgap of 1.91 eV and the emission lines of the nanoparticles. Transient hot wire analysis was performed to determine the thermal conductivity of the base fluid and the prepared nanofluids. It is observed that nanoparticles in the nanofluid enhance the heat transfer rate. It has been proven that CuNiZn/kerosene-based nanofluids have greater thermal conductivity than CuNiZn/transformer oil-based nanofluids. The viscosity of transformer oil-based nanofluids at room temperature is 12.53 mm2 s−1, which decreases to 12.49 mm2 s−1 at 40 °C. Similarly, the viscosity of kerosene-based nanofluids is 1.49 mm2 s−1 at room temperature and 1.16 mm2 s−1 at 40 °C. The sedimentation method revealed that CuNiZn/transformer oil-based nanofluids have greater stability than CuNiZn/kerosene-based nanofluids.

Heat transfer augmentation through engine oil-based hybrid nanofluid inside a trapezoid cavity

Heat transfer occurs as a result of density differences caused by temperature changes. It has several industrial applications. To improve performance, one must investigate the heat transfer behaviour of the working fluid. Hence, the purpose of this work is to report a heat transfer analysis of a partially heated trapezoid cavity filled with a hybrid nanofluid. The temperature conditions of the cavity are such that the bottom boundary is partially heated, inclined side boundaries are kept at a lower temperature, and the upper boundary is kept adiabatic. A trapezoidal shape heated obstacle is considered in the cavity’s centre. The heat transfer and flow take place inside the cavity due to density variation. The mechanism is regulated by mass, momentum, and energy conservation, as well as related boundary constraints. The solutions are determined by the use of a numerical technique known as the Finite Element Method after the governing equations are transformed into non-dimensional form, which brings up physical parameters affecting the heat transfer and flow. The initial study is performed for three types of nanofluids with silver 𝐴𝑔 and magnesium oxide 𝑀𝑔𝑜 nanoparticles inside water 𝐻2𝑂, kerosene 𝐾𝑒, and engine oil 𝐸𝑂. The study revealed that the engine oil-based hybrid nanofluid produced an increased heat transfer rate. Simulation is performed using engine-based hybrid nanofluid with the range of physical parameters, such as Rayleigh number 𝑅𝑎 (105≤𝑅𝑎≤107), Hartmann number 𝐻𝑎 (0≤𝐻𝑎≤100) and nanoparticles volume fraction 𝜙 (0≤𝜙≤0.2). It is found that the heat transfer rate is enhanced by increasing the fraction of nanoparticles in the base fluid. Moreover, imposition of magnetic field has reverse impact on the fluid movement.

Analysis of variable inductor employing vegetable-based transformer oil with magnetic nanoparticles

Variable inductors using magnetorheological fluids have recently been successfully applied to power-conversion devices; however, the thermal properties of Vegetable oil-based Magnetic Nanofluids (VMNFs) have not been investigated. In this study, the temperature characteristics of a variable inductor embedded with a VMNF were analyzed by developing a multiphysics analysis method and verified experimentally. To analyze the temperature distribution efficiently, a coupled analysis of the Magnetoquasistatic (MQS) field and steady-state heat transfer field based on the finite-element method was performed. The B-H curves of the VMNF and ferrite core were obtained via magnetic property measurement experiments, and the input waveforms were measured from the current and high-frequency pulse voltages applied to the variable inductor of the DC–DC converter. To predict the temperature rise of the VMNF-gap variable inductor, the power dissipation was determined using the Steinmetz experimental equation modified by the Bertotti model in the electronic system solver and input as a heat source in the steady-state heat-transfer analysis. The temperature increase predicted by the multiphysics analysis method agreed well with the experimental data, and an increasing the concentration of magnetic nanoparticles had a cooling effect. The developed MQS–thermal field coupled analytical method and the cooling properties of VMNFs can be applied to the design of power-conversion devices operating with high-frequency power sources.

SPECTRAL ANALYSIS FOR ENTROPY GENERATION AND IRREVERSIBILITY ON NiZnFe2O4: ENGINE OIL BASED NANOFLUID IN POROUS MEDIUM

This study aims to investigate the impact of volume fraction on entropy generation in a melting stretching/shrinking sheet scenario, considering both first and second-order velocity slips. The investigation focuses on the mixed convective flow of a nanofluid in a porous medium comprising nickel-zinc ferrite and SAE 20W-40 motor oil, which is characterized by Society of Automotive Engineer. Ferrites possess exceptional resistance properties, a crucial consideration in microwave applications. The solution to the derived nondimensional flow governing differential equations is computed using the spectral local linearization method combined with a local non-similarity technique. An assessment of the error is performed to verify the convergence of the numerical approach utilized. A comparison to existing results for specific cases highlights a strong agreement. Various flow-influencing parameters are considered to investigate entropy production, Bejan number, velocity, temperature, heat transport, and skin friction characteristics. The outcomes are presented in graphical form for different parameter values. After simulation, it is perceived that the melting parameter and Darcy number disrupt the entropy by 35.94 and 2.21%, respectively, and enhance the heat transport rate by 27.71 and 2.72%, respectively. This work can be utilized in designing innovative materials for electronics and textiles, in environmental processes like groundwater movement and pollutant dispersion, and in the biomedical field like hyperthermia treatments, tissue engineering, and regenerative medicine.

THERMAL CONDUCTIVITY MODELING OF DIELECTRIC OILS-BASED NANOFLUIDS USING THE FINITE ELEMENT METHOD

The enhancement of the thermal conductivity of dielectric oils has a positive effect on the performance of electrical equipment that uses these oils as a cooling medium. Nanofluids (NFs) have inspired high-voltage engineers to use them as alternative fluids in power transformers due to their impressive heat transfer and insulation compared to traditional dielectric oils. The present study is a numerical simulation by COMSOL Multiphysics of the thermal conductivity of NFs based on dielectric oils used in power transformers, to identify the effect of temperature, the concentration of nanoparticles (NPs), type of insulating fluid and NPs on thermal conductivity. The NFs were modeled inside a cube using the finite element method (FEM) by applying a temperature gradient. Several types of NPs were used (SiC, ZnO, TiO2, and Al2O3) in addition to several volume concentrations (0%, 0.001%, 0.002%, 0.01%, and 0.02%). The results showed a significant improvement in the thermal conductivity of the NFs with increasing concentration since the best results were recorded at an estimated volume concentration of 0.02%, while the lowest results were obtained for samples using a volume concentration estimated at 0.001%. The base fluid (BF) type and NPs play a dominant role in the thermal performance of the NFs, as the vegetable oil-based nanofluid provided the highest thermal conductivity values and silicon carbides (SiC) was the best NPs used in this study. However, a decrease in thermal transfer capacities was observed for all samples with increasing temperature.

MHD Free Convection Heat Transfer in Nano-Fluid Flow in Square Porous Cavity of TiO2 Nanoparticles with Base Fluid Engine Oil

In this article, the MHD-free convection heat transfer behaviour of oil-based nanofluids is explored numerically inside a square cavity enclosure filled with a porous material. The governing equations are derived using Brinkman and Buongiorno’s two-phase nanofluid models. We developed the mathematical model for the over-research problem for heat transfer enhancement applications; the finite volume approach was used to solve dimensionless governing equations. The SIMPLE algorithm is used to calculate the values of pressure and velocity. The investigation of nanofluid with engine oil in the presence of magnetic field in square cavity for the thermal application is not studies. The following parameters are investigated to find out the heat transfer analysis: Ra = 0, porosity = 10, initial volume concentrations = 0–0.05, constant angle of magnetic field = 0, Hartmann Number Ha = 0,100, Prandtl Number Pr = 0.8. The results are also compared with existing literature. It is also indicated that the effect of Nusselt number is very interesting at different values of Ra, i.e., heat transfer rate increases when volume fraction increases at the contact hot wall of the cavity, but reverse phenomena are observed at the cold wall.

Heat transfer performance in a Hybrid nanofluid (Cu-[formula omitted] /kerosene oil) flow over a shrinking cylinder

The effect of nanoparticle volume concentration on the thermo-physical characteristics of hybrid nanofluid has been a major area of study. Since hybrid nanofluid combines the chmical and physical properties of nanoparticles in a useful way, they overcome the limitations of mono nanofluids. The goal of this work is to examine how the Cu-Al2O3 nanoparticles affect the thermal conductivity, dynamic viscosity and rheological characteristics of kerosene oil-based hybrid nanofluids. The focus on this study is to analyze the magnetized hybrid nanofluid flow over a stretching/shrinking cylinder with the influence of different physical effects. For this, a mathematical model of a hybrid nanofluid is formulated in the form of PDEs. Then these PDEs are converted into ODEs by applying similarity conversion and tackled numerically. To understand the flow behavior, friction drag enhancement, thermal distribution, and heat transport phenomenon of Cu-Al2O3/kerosene oil, the graphical results are sketched. The results show that nanoparticle inclusion boosts the skin friction coefficient and heat transport rate. Here, ϕ1 , ϕ2 symbolize the Copper ϕCu and Aluminum Oxide ϕAl2O3 volume fractions, respectively. It is discovered that the values of Re1/2Cf and Re−1/2Nu grow when the values of nanoparticles volume fractions ϕ1 , ϕ2 increase. Further, increasing magnetic strength lowers the fluid velocity and increases the thermal distribution of the liquid. Additionally, the temperature of the liquid is increased by rising Biot number and thermal radiation, respectively.

Dielectric and thermal behavior investigation of Mn-Zn nano ferrite-fluid for transformer oil applications

Manufacturing of novel transformer oil-based nanofluids has become necessary to improve dielectric and cooling properties. The current study was carried out to examine the dielectric and thermal characteristics of transformer oil incorporated by Mn0.5 Zn0.5 Fe2O4 nanoparticles (Mn-Zn ferrite NPs) that were synthesized by an auto-combustion technique. The microstructure and morphology of the synthesized Mn-Zn ferrite NPs were characterized using X-ray diffraction (XRD), Fourier transform infrared (FTIR), and high-resolution transmission electron microscopy (HRTEM). The formation of a single-phase cubic spinel structure for the Mn-Zn ferrite NPs was confirmed by XRD results. The average crystallite sizes of about 26.7 nm obtained from XRD are very close to the measured value obtained from HRTEM. VSM measurements ensure a high saturation magnetization of 57 emu/g for the Mn-Zn ferrite sample and which makes it a very good candidate as a transformer oil filler. The as-synthesized Mn-Zn ferrite NPs were then introduced into transformer oil with concentrations up to 0.4 g/L to form Mn-Zn nano ferrite-fluid. The dielectric properties of the prepared nano ferrite-fluid samples were investigated by measuring the dielectric constant (ε′) and dissipation factor (tan δ) in the frequency range of 30 Hz − 1 MHz. Moreover, the AC breakdown voltage of the investigated nano ferrite-fluid samples was measured at a constant 500 V/s ramp, and it showed a pronounced enhancement with the addition of Mn-Zn ferrite NPs. It reached 80 % for 0.2 g/L of NPs. Moreover, the convective heat transfer of the nano ferrite-fluid was examined through the heating–cooling process, which is indicating a significant reduction in the thermal time constant in cooling with the introduction of the Mn-Zn ferrite NPs into the oil.

Computational assessment of radiative flow of engine oil-based mono nanofluids between parallel infinite double disks

Flow and heat transfer impacts of copper and silver are scrutinized between two infinite disks are addressed. The significance of mono nanofluids flow between double infinite disks is retained. The behavior of copper and silver nanoparticles and taking engine oil as a base fluid is scrutinized. A thermal radiation impact has been taken into account in heat equation. The governing equations of a MHD laminar flow among double disks are formulated in the presence of magnetic field. The suitable transformation is adopted to renovate the governing flow expressions into proper dimensionless ordinary differential equation. The renovated system in the form of dimensionless equations is numerically treated with the help of MATLAB via Lobatto-IIIa method. The role of different values parameters against flow and heat transfer is discussed in detail and elaborated graphically. From the outcomes, it is found that axial and radial velocity components has inverse trend for stretching parameter for lower and upper disk. Furthermore radial velocity is near the lower disk is reduce while boosts near upper disk for solid volume friction. It is observed that Pressure field is diminishes for larger Reynolds number. Stretching parameter for upper disk enhanced the pressure field. Temperature distribution is improves with larger stretching parameter for upper disk.

Thermal analysis of mineral oil-based hybrid nanofluid subject to time-dependent energy and flow conditions and multishaped nanoparticles

Thermal analysis of mineral oil-based hybrid nanofluid subject to time-dependent energy and flow conditions and multishaped nanoparticles

Dielectric response of vegetable oil-based nanofluid and impregnated Kraft paper for high voltage transformer insulation

Methyl ester from vegetable oil has been considered a potential replacement for mineral oil used for power transformer cooling and insulating applications. However, some pertinent properties in making this liquid a better transformer oil based on the laydown standards need to be enhanced to maximize the use of this insulating liquid. Technology involving nano-modification can enhance the properties of these ester liquids placing them in a better position as a good alternative. In this study, we aim to investigate the performance of methyl ester liquid from neem seed oil, a non-food grade oil, when modified with SiO2 insulating nanoparticles at several concentrations. Furthermore, Kraft paper compatibility has also been analyzed to observe their compatibility after impregnation. The breakdown strength, temperature-dependent dissipation loss factor, dielectric constant, and viscosity of both pure and nanofluid samples of neem ester liquid have been measured per standard methods. The nanofluid's dielectric performance has been significantly enhanced by the presence of SiO2 nanoparticles according to results obtained from the experiment. For instance, the dielectric dissipation factor at an operating frequency of 60 Hz has been improved by 96%, 89%, and 79% at 30 °C, 50 °C, and 70 °C respectively relative to the base neem liquid. This remarkable improvement has been attributed to the SiO2 nanoparticle's ability to polarize, trap, and de-trap mobile electrons develop in nanofluid when an electric field is applied.

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots.

In situ energy generation in soft, flexible, autonomous devices is challenging due to the need for highly stretchable and fault-resistant components. Nanofluids with pyro-, tribo-, or thermoelectric properties have recently emerged as promising solutions for realizing liquid-based energy harvesters. Yet, large thermal gradients are required for the efficient performance of these systems. In this work, we show that oil-based plasmonic nanofluids uniquely combine high photothermal efficiency with strong heat localization. In particular, we report that oleic acid-based nanofluids containing TiN nanoclusters (0.3 wt %) exhibit 89% photothermal efficiency and can realize thermal gradients as large as 15.5 K/cm under solar irradiation. We experimentally and numerically investigate the photothermal behavior of the nanofluid as a function of solid fraction concentration and irradiation wavelength, clarifying the interplay of thermal and optical properties and demonstrating a dramatic improvement compared with water-based nanofluids. Overall, these results open unprecedented opportunities for the development of liquid-based energy generation systems for soft, stand-alone devices.

Optimizing dielectric strength and viscosity of synthetic ester with wide bandgap nano-additives

This study explores the potential of insulating oil-based nanofluids as a promising alternative to traditional insulating oils. Specifically, we employ a thermally stimulated depolarization current (TSDC) approach to characterize the effect of trapped charges on the dielectric strength of synthetic ester (SE) based oils (bare SE, SE/Co3O4, and SE/Al2O3). The TSDC findings indicate that nanofluids exhibit higher current density peaks and trap energy levels than bare oil. Nonetheless, the AC breakdown voltage (BDV) of SE oils is significantly enhanced when nanoparticles are well-dispersed. The wide bandgap of Co3O4 and Al2O3 nanoparticles might be responsible for the increase in trap levels, enabling nanofluids to withstand higher AC electric field than pure oils. Additionally, we conduct statistical analyses of the AC BDV values of SE-based oils. Lastly, we find that nanofluids have a lower kinematic viscosity than bare oil.

Error analysis of zirconium and zinc oxides/kerosene oil-based hybrid nanofluid flow between rotating disks: An innovative case study

Zinc oxide and zirconium oxide have huge applications in science and engineering. Zinc oxide and zirconium oxide nanoparticles can be utilized as lubricant additives in kerosene oil to enhance the oil's lubricating qualities. These nanoparticles also, reduce friction and wear between moving parts, and due to this enhance the efficiency and life span of machinery. Zinc oxide and zirconium oxide in kerosene oil also, improve the combustion properties, anti-corrosion coating in the metal surface, catalysis in the oil refining process, etc. Due to the above applications, this article predicts the hybrid nanofluid between two rotating, squeezing, and permeable discs. The current model's main purpose is to examine the effects of zirconium oxide and zinc oxide on a kerosene oil-based hybrid nanofluid that flows between two discs. Angular velocities are being used to rotate the two discs. A system of ordinary differential equations is formed by the time-dependent constitutive formulations of the mass, momentum, energy, and mass distribution equations. In this case, the system of the equation is solved analytically through by Homotopy analysis method (HAM), resulting in the fast convergence of the problem. The dimensionless temperature, concentration, and velocity characteristics of various essential factors are illustrated and explained. The thermal profile is improved by raising the thermophoresis, thermophoresis volume percentage, and Brownian motion parameters.

Convective flow of hybrid nano particles in combination of TiO2+CuO/engine oil MoS2+ZnO/engine oil and Al2O3+Cu/engine oil with viscous dissipation over vertically moving surface: Numerical and Galerkin approach

Engine oil has a vast application sector as it is the most essential working lubricant for industrial machineries, engines of vehicles, and aircraft combustion processing. In order to find out more effective engine oil-based hybrid nanofluid in terms of heat transfer capabilities and to minimize the production cost, the novelty of our present study focused on three different combinations of nanoparticles (TiO2+CuO, MOS2+ZnO, and Al2O3+Cu) that are dispersed in Engine oil (EO). The fundamental aim is to examine the thermal and flow fluctuation of a convective dissipative engine oil-based hybrid nano liquid to understand the physical quantities and thermal properties over a vertically moving plate by employing the Galerkin Method (GM). Similarity variables are initiated to permute the set of governing equations into the nonlinear coupled ordinary differential equations along with Bc’s, which are solved using both numerical (Maple) and analytical method (GM). This MAPLE software uses the fourth-fifth-order Runge-Kutta-Fehlberg (RFK45) technique as a default function to solve numerically boundary value problems. Validation for this study has been conducted by comparison with previously published results. The results of the present study are given for both opposing and assisting flow with the distribution of fluid motion and temperature profiles, wall shear stress, and rate of heat transfer. The assisting flow has great significance on the flow velocity and temperature with increasing mixed convection parameters. The Brinkmann number and Prandtl number have a larger flow near the wall in temperature distribution and then increase and decrease respectively satisfying the asymptotic boundary conditions. Our results also reveal that the TiO2+CuO/Engine oil has a significant augment in terms of heat transfer than that of MoS2+ZnO/Engine oil and Al2O3+Cu/Engine oil.

Heat and mass transfer in a second grade nanofluids with wall slippage, heat generation and chemical reaction: Exact solutions

In this work, an engine oil-based second-grade nanofluid is considered in a channel with wall slippage. Two additional effects of chemical reaction and heat absorption are also considered. The problem is formulated in the PDEs and then solved using the integral transform. Analytical solutions for concentration and temperature are calculated. Tzou's and Stehfest's algorithms are utilized to find the inverse Laplace of the velocity field numerically. Two different engine oil-based nanofluids are depicted graphically, each containing nanoparticles of copper (Cu) and silver (Ag). The results showed that increasing the value of volume fraction and time enhanced the thermal conductivity and lubricity of EO. The temperature decreases with increasing values of heat absorption. The outcomes are discussed at up to 5% volume fraction (ϕ). The results for skin friction, Nusselt number, and Sherwood number are computed in tabular form. It is found that at ϕ=0.01, the skin friction is 0.394 for Cu and 0.395 for Ag. The rate of heat transfer (Nu) is 2.79 × 10−6 for Cu and 3.008 × 10−6 for Ag. The rate of mass transfer (Sh) is 0.424 for Cu and 0.431 for Ag. A comparison with published work shows an excellent agreement.