Fluid Flow Analysis Research Articles

Numerical and experimental analysis of fluid flow and flow visualization at low Reynolds numbers in a dimple pattern plate heat exchanger

This research discusses single-phase fluid flow conditions at low Reynolds number (Re) in the heat exchanger with a dimple structure of the heat plate. Flow at 70 ≤ Re ≤ 469 was investigated with laboratory experiments and computational fluid dynamics. It was found that in such a channel, two flow regimes exist, i.e., dead and live regimes. The volumetric fraction of the deadly regime gets bigger with increasing Re. At Re ≥ 469, a fully developed turbulent flow was found in the channel. Numerical analysis was made with a laminar flow model and two turbulence models, Realizable k−ε with an enhanced wall treatment and k−ω SST. The Realizable k−ε turbulent model with an enhanced wall treatment predicts pressure drop and shape of the live and dead regime more consistent with the real conditions in the channel. At the lowest considered Re = 70, computational fluid dynamics solutions deviate from laboratory experiments by −10.3 %. As the Re increases, the difference increases and reaches −18.3 % at Re = 141. As Re continues to increase, the result decreases and stabilizes at −8.3 %.

Hydrodynamic stability analysis of shear-layered fluid flow over a porous bed in the presence of a floating elastic plate

The present research investigates the stability characteristics of external shear-driven horizontal fluid flows over a porous horizontal plane in the presence of a floating elastic plate. A two-domain approach is considered to describe the model. The study employs the Chebyshev spectral collocation method to generate and solve the Orr–Sommerfeld eigenvalue system numerically. The most unstable mode is detected through eigenspectrum in finite wavenumber region. The plate characteristic parameters contribute to stabilizing the surface wave instability by reducing the linear wave speed and perturbed growth rate, but compressive force follows the other way. However, the external shear has the potential to enhance the surface wave instability by increasing the bulk velocity of the fluid. The depth ratio between the fluid and porous layer and Darcy number shows a dual nature regarding stability. So, by selecting specific characteristic parameters for both the flexible plate and porous bed, it is possible to manage and control the instability of the shear-layered film flow.

Stabilized mixed material point method for incompressible fluid flow analysis

This paper proposes novel and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). To address the modeling of Newtonian fluids with incompressibility constraints, a new mixed implicit MPM formulation is proposed. Here, instead of solving the velocity and pressure fields as the unknown variables like the typical Eulerian computational fluid dynamics (CFD) solver, the proposed approach adopts a monolithic displacement–pressure formulation inspired by the mixed-form updated-Lagrangian Finite Element Method (FEM). To satisfy the inf–sup stability condition, two stabilization strategies are integrated into the formulation: the variational multiscale method (VMS) and the pressure-stabilization Petrov–Galerkin method (PSPG). By concurrently solving the displacement and pressure fields, the developed monolithic solver obviates the need for free-surface detection as well as Dirichlet and Neumann pressure imposition, in contrast to the fractional-step method. This attribute mitigates spurious pressure and velocity oscillations in simulating dynamic and transient flow problems. This study also addresses other prevalent challenges in MPM simulations, such as the pressure oscillations triggered by cell-crossing errors, particle-distribution-induced quadrature errors, and particle-grid information transfer. To resolve these issues, the quadratic B-Spline basis function, the delta-correction method, and the Taylor particle-in-cell method are incorporated into the proposed mixed MPM formulation, thereby enhancing numerical stability. The efficacy of the proposed stabilized incompressible MPM framework is validated through several benchmark cases, comparing the obtained results with other numerical methods and analytical solutions. Furthermore, the method’s capability in simulating real-world problems involving violent free-surface fluid motion is demonstrated through comparisons with experimental results of water sloshing and dam break scenarios.

Numerical approach to analyze fluid flow in a type C tank for liquefied hydrogen carrier (part 2: Thermal flow)

The present study aimed to analyze and compare vacuum insulation systems suitable for a type C liquid hydrogen storage tank. Multiphase thermal analysis was conducted via computational fluid dynamics, and experimental results for the boil-off rate (BOR) of a type C liquid nitrogen storage tank were obtained to verify the simulation technique. The simulation results showed a maximum error of 0.941 % compared to experimental results. Three insulation systems with superior thermal performance were selected and compared in a 3D system. The Vacuum+MLI Mylar-net insulation system showed the best thermal performance, with a result of 0.189 %/day. An analysis of the parts vulnerable to heat loss was conducted. These findings contribute to the development of high-performance insulation systems for the safe and economic transportation of liquid hydrogen. The study is an important resource for assessing insulation performance during the design phase and preventing local heat loss during operation.

Theoretical analysis of Reiner-Philippoff fluid flow in two layers due to metachronal propulsion: Subject to surrounding temperature

Mucociliary clearance plays a crucial role within the respiratory system as an initial protective mechanism against infections. Hence, it is imperative to validate any assumptions made regarding the mucociliary clearance and its impact on its functionality. This study examines flow of two-dimensional Reiner-Philippoff fluid within a ciliated channel, resulting in the separation of the fluid into two immiscible layers due to variations in viscosity. The governing equations are shortened through utilization of the long wavelength and Reynolds number (low) approximation. The impacts of emerging parameters are examined through the utilization of graphical representations. It has been observed that when there are variations in fluid properties, such as density, thermal conductivity, and viscosity between two neighboring zones, concept of a peripheral layer should be employed in order to achieve more accurate and realistic outcomes. The figures indicate that an increase in viscosities, thermal conductivities, and fluid characteristics leads to an elevation in temperature field in both layers. Moreover, the potential future scope of this study holds the promise of making substantial contributions to the comprehension of intricate fluid dynamics and fostering the advancement of novel technologies that can be practically applied across various domains. Additional research into the thermal characteristics of the system may contribute to a deeper comprehension of the complex interplay between temperature fluctuations and the dynamics of Reiner-Philippoff fluids. This has the potential to facilitate the advancement of thermal control mechanisms or the investigation of temperature-responsive materials for the purpose of manipulating fluid flow properties.

Visual Ensemble Analysis of Fluid Flow in Porous Media Across Simulation Codes and Experiment

We study the question of how visual analysis can support the comparison of spatio-temporal ensemble data of liquid and gas flow in porous media. To this end, we focus on a case study, in which nine different research groups concurrently simulated the process of injecting CO2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$_2$$\\end{document} into the subsurface. We explore different data aggregation and interactive visualization approaches to compare and analyze these nine simulations. In terms of data aggregation, one key component is the choice of similarity metrics that define the relationship between different simulations. We test different metrics and find that using the machine-learning model “S4” (tailored to the present study) as metric provides the best visualization results. Based on that, we propose different visualization methods. For overviewing the data, we use dimensionality reduction methods that allow us to plot and compare the different simulations in a scatterplot. To show details about the spatio-temporal data of each individual simulation, we employ a space-time cube volume rendering. All views support linking and brushing interaction to allow users to select and highlight subsets of the data simultaneously across multiple views. We use the resulting interactive, multi-view visual analysis tool to explore the nine simulations and also to compare them to data from experimental setups. Our main findings include new insights into ranking of simulation results with respect to experimental data, and the development of gravity fingers in simulations.

Numerical Analysis of Fluid Flow and Powder Transport Characteristics of RH-Degasser Ladle Bottom Powder Injection (RH-PBI) Process

Numerical Analysis of Fluid Flow and Powder Transport Characteristics of RH-Degasser Ladle Bottom Powder Injection (RH-PBI) Process

Fluid flow and heat transfer analysis of a ternary aqueous Fe3O4 ＋ MWCNT ＋ Cu/H2O magnetic nanofluid in an inclined rectangular porous cavity

The natural convective flow and heat transfer efficiency within a cavity have been utilized in various applications, such as solar collectors, heat exchangers, and cooling electronic devices. Ternary nanofluids have higher heat transfer features than nanofluids. Motivated by the aforementioned applications, the current study investigates the natural convective flow and thermal efficiency features of Fe3O4+MWCNT+Cu/H2O electroconductive ternary nanofluid-filled inclined, partially heated rectangular porous cavity under the impacts of an inclined magnetic field, heat source/sink, Joule heating, a resistance porous medium, and viscous dissipation. Additionally, to examine the best heat transfer rate performance of ternary nanofluids, different combinations of aqueous-based ferromagnetic, metallic, and carbon-based nanoparticles’ are also scrutinized. The considered system of equations with suitable initial–boundary conditions is solved by the Marker and Cell method. The results reveal that pertinent parameters such as Darcy number, Rayleigh number, cavity inclination angle, nanoparticle volume fraction, and heat source/sink have significant impacts on the convective flow regime. The investigation reflects that in the presence of a heat source, by augmenting the Fe3O4(33.3%),MWCNT(33.3%), and Cu(33.3%) nanoparticles’ volume fractions from 1% to 5%, the average heat transfer rate is increased by 7.49%. By considering Fe3O4(10%),MWCNT(45%), and Cu(45%) nanoparticles, the average heat transfer rate can be increased up to 8.95%. Fe3O4(10%)+MWCNT(45%)+Cu(45%)/H2O ternary nanofluids deliver the highest, and Fe3O4(45%)+MWCNT(45%)+Cu(10%)/H2O ternary nanofluids produce the lowest rate of heat transfer among the other combinations of ternary nanofluids. This outcome ensures that a suitable combination of nanoparticles extensively improves the heat transfer characteristics of the base fluids.

Flow characteristics of a Doddington sample in the Darcy-inertial regimes from finite volume method analysis

The fluid flow analysis in four Doddington rock samples was conducted using the finite volume method. A novel methodology for reconstructing virtual samples from micro CT-scans was introduced, with adaptability to other porous geometries. The study covered the Reynolds number interval from 2.71 × 10−6 to 10, in the porosity (φ) range 0.153–0.198, covering the Darcy and laminar regime flow conditions, expected near-well bore injection/extraction regions and gas flows. The analysis included passive tracer transport and dispersion, revealing independence of permeability, tortuosity, Archie's exponent, and formation factor in the Darcy regime. As flow velocity increased in the inertial-laminar regime, values became more scattered due to eddy formations, leading to energy losses and reduced effective flow areas in percolated channels. Tracer dispersion nature depended more on Reynolds number and sample geometry. These results offer local details to complement conventional flow measurements, and the reconstruction methodology can be easily adapted to other porous media obtained through CT-scans.

Exploring the impact of Hall and ion slip effects on mixed convective flow of Casson fluid Model: A stochastic investigation through non-Fourier double diffusion theories using ANNs techniques

The analysis of Non-Newtonian Casson fluid flow using Artificial Neural Networks (ANNs) has enticed the attention of researchers and scientists due to their tremendous role in modern technologies and development. The generalised Ohm law with mass and thermal transport is employed. The mechanism of mass and energy transmission is based on generalised Fick’s and Fourier laws. An incompressible magnetohydrodynamics (MHD) boundary layer flow of Darcy-Forchheimer Casson fluid across a stretching sheet is elaborated in the current study. The flow incorporates the effects of Hall and ion slip phenomena and occurs steadily over a stretchable linear surface through porous medium. The Casson fluid flow has been expressed in form of system of PDEs, which are further simplified to non-linear system of ODEs through similarity replacements. The ANN-LMBOA algorithm is used to crack these equations (ODEs). To validate the ANN-LMBOA results, the dataset is produced by employing the (FDM) finite difference method (Lobatto IIIA) in Matlab package using bvp4c-solver. The dataset is generated for diverse scenarios of flow constraints, testing, and validation of the neural network. The accurateness of the ANN-LMBOA (Artificial Neural Network- Levenberg Marquardt Backpropagation Optimization Algorithm) is evaluated via several statistical neural network tools, i.e., RP, MSE, EH and CF graphs.

Investigation of Rheological and Geometric Properties Effect on Nonlinear Behaviour of Fluid Viscous Dampers

Global approval of the use of fluid viscous dampers to control the buildings response against dynamic loadings is growing. The idea behind incorporating additional dampers is that they will reduce most of the energy that is transmitted to the building during shaking event. The objective of this work is to identify and enhance the design parameters that control the nonlinear behaviour of fluid viscous damper subjected to sinusoidal excitation. For this, a numerical model of the flow inside the dissipater has been carried out based on finite volume method. A novel approach has been adopted to simulate elastic behaviour of the fluid, taking into account its compressibility by using the Murnaghan equation of state. A comparison between the calculations of the proposed model and the experimental tests was carried out. The model proved to be sufficiently accurate. A fluid flow analysis was then conducted to fully understand the internal mechanism of the damper. A parametric study was then performed by varying aspects such as dimensions, geometric relationships between components and fluid properties in order to better understand their effect on the non-linear behaviour of the device. The results highlight the relationship between the parameters governing the shear thinning behaviour of the fluid and the non-linearity exponent of the damper. This makes it possible to better control the non-linear behaviour of the device by selecting the appropriate silicone oil and the appropriate geometric dimensions of its components.

Analysis of fluid flow in a cylindrical tube using fiber Bragg grating

Fiber Bragg grating (FBG) is an optical sensor component that has better performance than other optical and electronic components. FBG has a very high sensitivity to changes in temperature and strain, is small in size, and is resistant to electromagnetic wave interference and multiplexing. In this study, FBG is used to monitor the fluid flow rate in a pipe by analyzing changes in the output power generated by the FBG. This research was designed by varying the pipe diameter, measurement position, and fluid flow rate. The diameters of the pipes used are 5.95, 7.01, 8.79, and 10.32 mm. The fluid flow rate that passes through each pipe is also varied. The measuring position is placed at 1/3 2/3, and 3/3 pipe diameter. The fluid flow rate and the output power generated by this FBG are measured using an anemometer and optical power meter respectively. The FBG used in this study has a center wavelength of 1310 nm and 1550 nm. In this study, the value of power generated from pipe 1 of position 1 FBG with a wavelength of 1550 nm is 15.1 dBm, while at a wavelength of 1310 nm is -26.23 dBm which indicates that the power generated from FBG with a wavelength of 1310 is the biggest. The speeds obtained at pipe position 1 from the anemometer measurements are 0.79, 1, 1.82, and 2.22 m/s which are directly proportional to the power generated at the 1550 wavelength FBG, -15.1, -15.12, -15.47, and -15.43 dBm, respectively. So it can be concluded that the greater the speed generated by the fluid flow, the greater the power generated.

Flow Characterisation Using Fibre Bragg Gratings and Their Potential Use in Nuclear Thermal Hydraulics Experiments

With the ever-increasing role that nuclear power is playing to meet the aim of net zero carbon emissions, there is an intensified demand for understanding the thermal hydraulic phenomena at the heart of current and future reactor concepts. In response to this demand, the development of high-resolution flow analysis instrumentation is of increased importance. One such under-utilised and under-researched instrumentation technology, in the context of fluid flow analysis, is fibre Bragg grating (FBG)-based sensors. This technology allows for the construction of simple, minimally invasive instruments that are resistant to high temperatures, high pressures and corrosion, while being adaptable to measure a wide range of fluid properties, including temperature, pressure, refractive index, chemical concentration, flow rate and void fraction—even in opaque media. Furthermore, concertinaing FBG arrays have been developed capable of reconstructing 3D images of large phase structures, such as bubbles in slug flow, that interact with the array. Currently a significantly under-explored application, FBG-based instrumentation thus shows great potential for utilisation in experimental thermal hydraulics; expanding the available flow characterisation and imaging technologies. Therefore, this paper will present an overview of current FBG-based flow characterisation technologies, alongside a systematic review of how these techniques have been utilised in nuclear thermal hydraulics experiments. Finally, a discussion will be presented regarding how these techniques can be further developed and used in nuclear research.

Dynamic Response of Paper-Based Bi-Material Cantilever Actuator

This work presents a dynamic modeling approach for analyzing the behavior of a bi-material cantilever actuator structure, consisting of a strip of filter paper bonded to a strip of tape. The actuator’s response is induced by a mismatch strain generated upon wetting, leading to the bending of the cantilever. The study delves into a comprehensive exploration of the dynamic deflection characteristics of the bilayer structure. It untangles the intricate connections among the saturation, modulus, hygro-expansion strain, and deflection, while uniquely addressing the challenges stemming from fluid–structure coupling. To solve the coupled fluid–solid differential equations, a combined numerical method is employed. This involves the application of the Highly Simplified Marker and Cell (HSMAC) technique for fluid flow analysis and the Finite Difference Method (FDM) for response deflection computation. In terms of the capillary flow model, the Computational Fluid Dynamics (CFD) simulations closely align with the classical Washburn relationship, depicting the wetted front’s evolution over time. Furthermore, the numerical findings demonstrate that heightened saturation levels trigger an increase in hygro-expansion strain, consequently leading to a rapid rise in response deflection until a static equilibrium is achieved. This phenomenon underscores the pivotal interplay among saturation, hygro-expansion strain, and deflection within the system. Additionally, the actuator’s response sensitivity to material characteristics is highlighted. As the mismatch strain evolving from paper hygro-expansion diminishes, a corresponding reduction in the axial strain causes a decrease in response deflection. The dynamic parameter demonstrates that the deflection response of the bilayer actuator diminishes as dynamic pressure decreases, reaching a minimal level beyond which further changes are negligible. This intricate correlation underscores the device’s responsiveness to specific material traits, offering prospects for precise behavior tuning. The dependence of paper modulus on saturation levels is revealed to significantly influence bilayer actuator deflection. With higher saturation content, the modulus decreases, resulting in amplified deflection. Finally, strong concordance is observed among the present fluidically coupled model, the static model, and empirical data—a testament to the accuracy of the numerical formulation and results presented in this study.

Thermal analysis of transverse fluid flow in a gradient porous media with the exponentially boundary conditions

In this study, a numerical investigation was conducted on the thermal analysis of transverse fluid flow in a gradient porous medium with exponential boundary conditions. By solving a two-dimensional system of dimensionless equations using the Newton–Raphson method and Galerkin finite element technique, the authors studied the effects of cross-diffusion on double-diffusive natural convection in shells. The simulation results for isoconcentrations, isotherms, and stream functions were analyzed for different flow parameters, and it was found that the mean Dufour and Soret numbers were more susceptible to cross-diffusion impacts. The researchers also found that altering the tilt angle of the trapezoidal enclosure can significantly impact flow circulation and temperature gradient, which has important implications for thermal energy control in different technical appliances. This study provides valuable insights into the thermal behavior of fluid flow in porous media, which can aid in the development of more efficient and effective thermal systems.

Mini-channel embedded film cooled flat plate: conjugate heat transfer analysis and enhancement study

PurposeMaintaining the turbine blade’s temperature within the safety limit is challenging in high-pressure turbines. This paper aims to numerically present the conjugate heat transfer analysis of a novel approach to mini-channel embedded film-cooled flat plate.Design/methodology/approachNumerical simulations were performed at a steady state using SST k – ω turbulence model. Impingement and film cooling are classical approaches generally adopted for turbine blade analysis. The existing film cooling techniques were compared with the proposed design, where a mini-channel was constructed inside the solid plate. The impact of the blowing ratio (M), Biot number (Bi) and temperature ratio (TR) on overall cooling performance was also studied.FindingsOverall cooling effectiveness was always shown to be higher for mini-channel embedded film-cooled plates. The effectiveness increases with increasing the blowing ratio from M = 0.3 to 0.7, then decreases with increasing blowing ratio (M = 1 and 1.4) due to lift-off conditions. The mini-channel embedded plate resulted in an approximately 21% increase in area-weighted average overall effectiveness at a blowing ratio of 0.7 and Bi = 1.605. The lower uniform temperature was also found for all blowing ratios at a low Biot number, where conduction heat transfer significantly impacts total cooling effectiveness.Originality/valueTo the best of the authors’ knowledge, this study presents a novel approach to improve the cooling performances of a film-cooled flat plate with better cooling uniformity by using embedded mini-channels. Despite the widespread application of microchannels and mini-channels in thermal and fluid flow analysis, the application of mini-channels for blade cooling is not explored in detail.

Applications of fractional calculus to thermodynamics analysis of hydromagnetic convection in a channel

The present analysis signifies the impacts of fraction calculus on the MHD analysis of an incompressible fluid flow with entropy generation, viscous dissipation, and joule heating carried out between two endless vertical plates. The left vicinity of the MHD fluid flow channel has a convectively hot MHD fluid with a specific temperature that produces the heat transfer coefficient inside the flow channel. The MHD fluid flow model has been formulated with the fractional order derivative, which is an exciting area of research. The transient form of the system of dimensionless PDEs with imposed boundary conditions is transformed to a fractional order derivative model, which was formerly solved via the Finite Difference Scheme (FDS). The graphical illustrations signify the significance of the transverse magnetic field, viscous dissipation, and Ohamic heating alongside Biot and Bejan numbers. The velocity and temperature illustrations have been shown graphically to observe the influences within the flow channel. With predetermined values of the corresponding dimensionless parameters, the coefficient of skin friction and Nusselt number accompanied by a range of convection constraints are displayed graphically within the flow channel.

Experimental and CFD-DEM study on local packing distribution and thermofluidic analysis of binary packed bed

In recent years, binary-packed beds have drawn attention due to their higher packing density and greater heat extraction capacity than mono-sized packed beds. In the past, the research on binary-packed beds mainly focused on finding empirical correlations for hydraulic permeability and equivalent thermal conductivity. Studies on fluid flow and heat transfer characterisation of the packed bed filled with binary particles are relatively scarce. In this work, the fluid flow and heat transfer analysis of purge gas flowing through the binary packed bed (1 ≤ size ratio ≤ 7 and at a volume of large particles = 40 %) is investigated using non-destructive experimental and Computational fluid dynamics-Discrete element modelling (CFD-DEM) approaches. An empirical correlation is developed for the local packing distribution inside binary packed beds. Based on the CFD-DEM results, the Ergun equation is modified to present the analytical equation for calculating the pressure drop for binary-packed beds at lower and higher Reynolds numbers. Further, the effect of the different size ratios on the fluid flow and heat transfer behaviour of the purge gas for binary-packed beds is investigated. The local packing factor increases with increasing the size ratio since small particles occupy the void among the large particles. This effect also increases the region with zero or negative flow at a higher size ratio. It is found that the purge gas penetrates deeper with an increasing size ratio; therefore, the heat extraction behaviour and the Nusselt number increase with increasing size ratios.

Analysis of Fluid Flows in Bounded Domain with Particular Shape of a Cavity using Lattice Boltzmann Method

Background: The present work numerically models the incompressible, continuous phase, viscous flow of Newtonian fluid flow in a bounded domain of two-dimensional cavity that is driven by walls and contains grooves in the shape of squares on the lower wall. With the help of the mesoscopic lattice Boltzmann method (LBM) and D2Q9 square lattice model, simulation results are found stable and reliable. The flow physics of the problem by varying Reynolds number, the height and quantity of lower wall grooves, and other fluid flow characteristics within the bounded domain are studied in detail. It is seen that the effects of the groove heights and wavelengths on the fluid flow are structured within the bounded domain. The study is performed from low Re = 100 to high Re = 3200, with minimum two and maximum four-wavelength grooves evaluated on the bottom surface, each having a height of low 0.25 and high 0.75. Additionally, a thorough discussion of complicated vortex dynamics is provided regarding the input parameters and geometry. Objective: The current study aims to use mesoscopic LBM to analyze incompressible viscous fluid flows on complex geometries other than rectangular shapes. Methods: Mesoscopic approach of kinetic theory-based Lattice Boltzmann method (LBM) is implemented in the current work. The popular Single Relaxation Time Lattice Boltzmann method with D2Q9 square lattice model and second-order accurate boundary condition is adopted for the current study. Results: The numerical approach of LBM is used to simulate fluid flows in a 2D bounded domain with grooved bottom surfaces. The influence of different factors, such as the height of bottom-wall surface grooves, flow Reynolds number, and wavelength of these grooves on flow patterns, is then investigated. Conclusion: The numerical study of the bounded domain is considered, and the Reynolds number is varied from 100 to 3200, with two and four-wavelength grooves evaluated on the bottom surface, each having a height of 0.25 and 0.75. The impacts on the flow pattern both within and slightly above the grooves of the computational findings for different Reynolds numbers, groove heights, and groove wavelengths are evaluated. As the Reynolds number rises, the mixing phenomenon of fluid is shown to flow more quickly in the wall-driven enclosures.

ENHANCEMENT OF HEAT TRANSFER WITH VISCOUS DISSIPATION IMPACT ON FLUID FLOW PAST A MOVING WEDGE IN A PERMEABLE DOMAIN

The problem of modelling and analysis of fluid flow in the presence of viscous dissipation over a wedge in motion is analytically and numerically addressed. As a result of the much-valued significance of this study in the aspects of technological and industrial revolution regarding aerospace, oil recovery systems, defence machineries, extrusion, moulding and polymerisation of sheets, building of war arsenal, glass whirling. However, the frontiers of several physical problems are modelled by both partial and ordinary differential equations (PDEs and ODEs). Therefore, the mathematical modelling of our present problem is not an exemption. Hence, the PDEs which models our problem under consideration becomes changed into coupled ODEs in nonlinear arrangement through the deployment of adequate and standard conversion procedure by using dimensionless variables. In line with the approach of the solution methodology, the boundary conditions governing the flow models are also transmuted. Afterwards, the well-established regular perturbation skill aided in the resolution of the problem. The solutions realised are simulated through the adoption of a software package in the Mathematica V.10 scheme for the numerical solutions. Hence, our results are embodied in form of graphs with legends. It is worthy to note that the effect of increasing rate of flow remains a function of rising values of the porosity and Grashof thermal parameters whereas the opposite behaviour of the flow field is a consequence of improving values of suction parameter. Also, the enhancement of the suction parameter and Eckert number values breeds intensification in the temperature. The Nusselt number intensifies with the rising values of the Prandtl parameter but regresses on the account of radiation factor development.