Fluid Flow Systems Research Articles

Unsteady magneto bioconvective Sutterby nanofluid flow: Influence of g-Jitter effect

This study is driven by the potential applications of a microgravity environment in various sectors and fields of engineering, especially in the manufacturing of semiconductors. An electrically conducting bioconvective Sutterby nanofluid flow was considered around an exponentially stretching surface through g-Jitter and nonlinear thermal radiation effects. The dimensional partial differential equations (PDEs) that govern the fluid flow system are changed into nondimensional PDEs through nonsimilar transformations. Once these PDEs have been linearized using Quasilinearization, the implicit finite difference scheme is used to solve them numerically. A MATLAB code was constructed for the numerical calculations and for analysing the results via graphs. These findings indicate that the greater values of amplitude ε1 result in a steep rise in the velocity and surface drag near the sheet's wall for assisting buoyancy. An enhancement of approximately 108 % in the drag coefficient is observed when ε1(the amplitude in g-Jitter) jumps to 1 from 0. The percentile increments in heat transport strength due to the rise of radiation Rd from 1 to 2 is 80 %, and due to the intensification of the temperature difference ratio φw from 1.5 to 2 is about 167 %. Elevating Peclet number Pe led to the depletion of the microbial boundary layer thickness. Oxytactic microbes' presence impacts the enhanced mass transport strength of nanoparticles. The current findings have been validated by comparing them to previously published results, and they have been shown to be in perfect agreement with those results.

Methane-flow system within the Nyegga pockmark field, offshore mid-Norway

We investigated fluid seepage within the Nyegga pockmark field (600–900 m water depths) off mid-Norway from Remotely Operated Vehicle dives at the so-called CNE sites (CNE01 to CNE17). The seafloor morphology of some of these features corresponds to pockmarks and adjacent ridges, with the latter being the focus of present seepage activity. These structures are underlain by chimneys above a gas-charged zone with, in some cases, a substantial body of hydrate-invaded sediment (down to 1.3 s in two-way travel time at CNE03). Present-day methane-rich fluid seepage through the seabed is indicated by chemosynthetic fauna, in particular Siboglinidae polychaetes (Oligobrachia haakonmobiensis webbi and Sclerolinum contortum), microbial mats and associated Rissoidae gastropod (Alvania sp.) grazers, and confirmed by measured in situ bottom-water methane anomalies, up to 2,130 nL/L. No free-gas bubble emissions were observed or acoustically identified. The presence of authigenic carbonates reveals past seepage with very low δ13C values (down to −58‰) indicating that the major source of carbon was methane carried by the venting fluids. The ages of major periods of methane venting are provided by vesicomyid bivalve shells (Isorropodon nyeggaensis) present in two sedimentary layers, 14,930 and 15,500 14C yr BP (ca. 17,238 and 17,952 cal yr BP), respectively, corresponding to the time of Melt Water Pulse IA. The seafloor morphology and pattern of seepage -chemosynthetic fauna and microbial mat distribution and dissolved methane concentration-are remarkably heterogeneous. Pore-water chemistry profiles in a gravity core taken only 40 m from major seepage sites indicate no seepage and anaerobic methane oxidation at a sub-bottom depth of about 2 m. Present-day seepage from the studied pockmark-chimney fluid-flow system charged with gas hydrate is dominated by the advection of methane solution in pore water. Some of this methane could result from the dissolution of hydrate in the chimney, most of which would have formed during an earlier period (post-LGM times) of history of the chimney, when it was venting free gas. However, the presence of free gas beneath this chimney is probably why the water entering the chimney is already saturated with methane and the process of hydrate formation in the chimney continues today.

Optimal Transient Energy Growth of Two-Dimensional Perturbation in a Magnetohydrodynamic Plane Poiseuille Flow of Casson Fluid

Abstract The study investigates the influence of the Casson fluid parameter and the spanwise uniform magnetic field on the onset of instability against infinitesimal disturbances in an electrically conducting fluid flow between two parallel nonconducting rigid plates. The fourth-order linearized disturbance equation governing stability is solved using the spectral collocation method with Chebyshev-based polynomials. The aim is to analyze in detail the effect of the parameters involved in the problem using both modal and nonmodal linear stability analysis. The modal analysis provides accurate values of the critical Reynolds number, critical wave number, and critical wave speed, denoted as critical triplets (Rc, αc, cc). Additionally, it examines the eigen-spectrum, growth rate curves, and neutral stability curves. On the other hand, the nonmodal analysis investigates the transient energy growth G(t) of two-dimensional (2D) optimal perturbations, the pseudospectrum of the non-normal Orr–Sommerfeld (O–S) operator (ℒ), and the regions of stability, instability, and potential instability of the fluid flow system. The extensive examination of both long-term behavior through modal analysis and short-term behavior through nonmodal analysis reveals that the Hartmann number (Ha) acts as a stabilizing agent, delaying the onset of instability. Conversely, the Casson parameter (η) acts as a destabilizing agent, advancing the onset of instability. The results obtained here are verified to be in good agreement with the existing literature in the absence of the Casson fluid flow parameter.

Insights into the thermodynamic efficiency of Homann-Agrawal hybrid nanofluid flow

In this study, we investigate the characteristics of axisymmetric Homann and Agrawal flows over a stretching and spiraling surface at the stagnation point flow. The effects of uniform rotation and linear radial stretching of the disk are considered, along with the utilization of hybrid nanofluids. Specifically, titanium oxide and multi-walled carbon nanotubes are dispersed in engine oil to form the nanofluid. The surface velocity adopts a spiral logarithmic shape due to the combined influence of uniform rotation and radial stretching, while a perpendicular magnetic field is applied to the flow. Furthermore, we analyze the entropy generation of the hybrid nanofluid flow. To solve the problem, we employ a similarity transformation technique to convert partial differential equations (PDEs) into ordinary differential equations (ODEs) and utilize the bvp4c technique available in MATLAB. Graphical representations are employed to illustrate the impact of relevant parameters. This analysis yields valuable insights into the thermodynamic efficiency of fluid flow systems, enabling optimization of their design and performance. Understanding the influence of nanoparticle concentration and flow parameters on system efficiency is of utmost importance in developing more effective and efficient fluid flow systems. The study offers crucial insights applicable to a wide range of engineering applications, including heat exchangers, cooling systems, and other fluid flow systems.

Data-driven inference of low order representations of observable dynamics for an airfoil model

Reduced order modeling of fluid flow systems can allow for the application of more sophisticated mathematical analysis and control techniques that would otherwise be computationally prohibitive. Existing reduction techniques often fail when nonlinear terms dominate the flow (e.g., at large Reynolds numbers) necessitating the development of new techniques. In this work, we implement an adaptive isostable reduction strategy to obtain a data-driven reduced order model that captures the dynamics of observables in a computational model for fluid flow over an airfoil at moderate Reynolds numbers. The resulting model characterizes the response to both time-varying inflow conditions and Dirichlet boundary conditions on the surface of the airfoil meant to represent suction or blowing through the action of surface jets. The resulting reduced order model behaviors agree well with the dynamics of the full order model simulations in response to both open loop and closed loop inputs. This study provides a proof of concept that reduced order modeling techniques using adaptive isostable coordinates can be successfully used in realistic fluid flow models using geometries with practical relevance.

Hydro-mechanical modelling of swell behaviour of bentonite buffer

Hydro-mechanical modelling of swell behaviour of bentonite buffer

Empirical study for Nusselt number optimization for the flow using ANOVA and Taguchi method

ANOVA and Taguchi is an optimization tool used to find the optimal combination to achieve the highest heat transmission rate for a Casson-Carreau nanofluid flow over a curved surface. Exponentially generating heat, thermal radiation, Joule heating, chemical reaction along with velocity slip, and Stefan blowing peripheral conditions are employed for the current investigation. The rate of heat and mass transmission has been analyzed using the Cattaneo-Christov duplexed diffusion model. Entropy synthesis in the fluid flow system is also planned for the research. The graphs of solutions to the topic under consideration have been compiled by a tool called the Runge-Kutta-Fehlberg scheme. According to the outcomes of the present study, when thermal and solutal relaxation parameters are increased, the corresponding thermal and solutal profiles decrease. Both the speed and concentration panels benefit from the Stefan blowing parameter. The Nusselt number falls when Eckert number and Prandtl number increase. When the velocity slip factor is enhanced, the velocity has slowed down, while a rise in the second-order velocity slip factor encourages the same. The Taguchi optimization method has disclosed that the highest signal-to-noise ratio is attained when the magnetic parameter is 0.7, the thermophoresis parameter is 0.05, the Prandtl number is 7, the Eckert number is 0.06, and the thermal relaxation parameter is 0.05. Thus, the maximum heat transfer rate obtained is 2.75354. The thermophoresis parameter has a huge contribution of about 93.83%, whereas the thermal relaxation parameter has the least contribution, i.e., 0.03%, on heat transport rate.

Natural Convection Couette Flow in the Presence of Magnetic Field and Thermal Property

This article examines the natural convection Couette flow in a hydrodynamic viscous fluid that is electrically conductive due to the thermal radiation effect. The governing flow in this study is modelled in the form of partial differential equations (PDEs) in dimensional form with initial and boundary conditions and the Couette fluid model is also be used to characterize the fluid behavior. Then, using suitable non-dimensional quantities, the governing non-linear PDEs are transformed. Since the flow governing equations of the problem under study are extremely complex and complicated, techniques that complement experimental and theoretical fluid dynamics by providing alternative potentially cheaper means of testing fluid flow systems is employed. Therefore, the Finite Element Method (FEM) is used after discretization of the PDEs. With Graphs and tables, the effects of embedded thermo physical parameters of engineering interests associated with the flow quantities viz. velocity, temperature, concentration of the fluid were examined through series of numerical experiments and discussed. This research also analyzes and compares the results obtained by Omokhuale and Jabaka (2022b). It is interesting to report that an excellent agreement was established, thereby authenticating and validating the accuracy of FEM as a strong tool. According to the results of this study, the actions of thermal radiation on the thermal and momentum boundary layers for increasing values are significant, also, increasing the magnetic field parameter impedes the fluid movement due to the Lorentz force action.

Characterizing fluid dynamical systems using Euler characteristic surface and Euler metric

Euler characteristic (χ), a topological invariant, helps to understand the topology of a network or complex. We demonstrate that the multi-scale topological information of dynamically evolving fluid flow systems can be crystallized into their Euler characteristic surfaces χs(r,t). Furthermore, we demonstrate the Euler Metric (EM), introduced by the authors, can be utilized to identify the stability regime of a given flow pattern, besides distinguishing between different flow systems. The potential of the Euler characteristic surface and the Euler metric have been demonstrated first on analyzing a simulated deterministic dynamical system before being applied to analyze experimental flow patterns that develop in micrometer sized drying droplets.

Three-dimensional unsteady radiative hybrid nanofluid flow through a porous space over a permeable shrinking surface

This study explores the heat transfer and fluid flow properties that occur within the radiative unsteady hybrid alumina-copper/water nanofluid flow through a porous space over a permeable shrinking surface in a three-dimensional domain. The fluid flow model in the form of partial differential equations is transformed into ordinary differential equations through dimensionless similarity variables. The finalized form of the model is then resolved using the finite difference method with the Lobato IIIa formula via the built-in MATLAB function known as bvp4c. Two non-unique solutions are executed; however, the second solution is not stable. The findings suggest that the effective heat transfer performance of the hybrid nanofluid can be established by increasing the porosity and suction parameters. The laminar flow phase can also be maintained by increasing the suction and porosity parameters while extensively shrinking the surface. However, a smaller magnitude of the shrinking capacity of the surface is suggested to result in a better heat transfer performance. Effective heat transfer can also be achieved by increasing the thermal radiation parameter within a specific range of smaller shrinking capacity. Overall, this study provides a vital guideline for simulating the fluid flow system and suggests strategies to optimize fluid flow and heat transfer performance.

Numerical investigation of drag property for fluid flow through packed beds of super-quadric chip-like particles

Drag property of fluid flow through chip-like particles is essential for describing the microscale flow pattern of this unique system, yet it is not well developed. In this work, a correlation of drag force (Fd) specific for the super-quadric chip-like particles is formulated under the conditions of porosity ε = 0.48–1.0 and Reynolds number Re = 10–200, using the Lattice Boltzmann method (LBM) and discrete element method (DEM). The LBM-DEM model is validated against previous data with an average deviation of 5% (max ∼15%). The results indicate that the ε and Re are two dominant parameters that determine the Fd on chip-like particles. A new Fd correlation consists of ε and Re is developed. Comparisons are conducted between this Fd correlation with previous approximate correlations including Di Felice-Holzer/Sommerfeld hybrid drag model for arbitrary-shaped particles and Chen/Müller drag model specific for cubes, indicating that an accurate description of the particles' shapes is vital in providing suitable Fd information. The new Fd correlation can be applied to Euler-Euler simulations of industrial-scale processes of chip-like particles involved in fluid flow systems such as end-of-life (EoL) solar panels recycling and biomass chips gasification.

Performance analysis of reinforcement learning algorithms on intelligent closed-loop control on fluid flow and convective heat transfer

This paper investigates the performance of several most popular deep reinforcement learning (DRL) algorithms applied to fluid flow and convective heat transfer systems, providing credible guidance and evaluation on their characteristics and performance. The studied algorithms are selected by considering the popularity, category, and advancement for guaranteeing the significance of the current study. The effectiveness and feasibility of all DRL algorithms are first demonstrated by studying a two-dimensional multi-heat-source cooling problem. Compared with the best manually optimized control, all DRL algorithms can find better control strategies that realize a further temperature reduction of 3–7 K. For problems with complex control objectives and environments, PPO (proximal policy optimization) shows an outstanding performance that accurately and dynamically constrains the oscillation of the solid temperature within 0.5 K around the target value, which is far beyond the capability of the manually optimized control. With the presented performance and the supplemented generalization test, the characteristic and specialty of the DRL algorithms are analyzed. The value-based methods have better training efficiency on simple cooling tasks with linear reward, while the policy-based methods show remarkable convergence on demanding tasks with nonlinear reward. Among the algorithms studied, the single-step PPO and prioritized experience replay deep Q-networks should be highlighted: the former has the advantage of considering multiple control targets and the latter obtains the best result in all generalization testing tasks. In addition, randomly resetting the environment is confirmed to be indispensable for the trained agent executing long-term control, which is strongly recommended to be included in follow-up studies.

The optimization of natural frequency on the cross flow-induced vibration and heat transfer in a circular cylinder with LSTM deep learning model

BackgroundIn this study, the fluid-induced vibrations of a long cylinder placed in the cross flow of a fluid with Reynolds number 325 have been investigated using ANSYS CFX 11. For this purpose, a middle section of the cylinder is considered in two-dimensional geometry and the damping and stiffness of the tube are modeled with appropriate springs and dampers. Since the frequency of the vortex shedding around the cylinder can exert an oscillating force on the cylinder, the effect of the applied force on the drag, lift and vibration path of the cylinder has been investigated. Also, by changing the natural frequency of the structure, different vibration modes and lock-in phenomenon have been investigated. MethodsVarious machine learning approaches have been used for predictive analysis where numerical data are generated to train intelligent algorithms for prediction errors. Different machine learning approaches such as long short-term memory (LSTM), multilayer perceptron (MLP) and support vector regression (SVR) are employed to optimize the prediction of drag and lift coefficient, vibration path of the cylinder and average Nusselt on the cylinder in terms of the natural frequency of the structure. This work proves that machine learning models are capable to predict the complex behavior of fluid flow in systems where flow-induced (FIV) vibration is coupled with heat transfer. FindingsIn the presented results, the Lissajous pattern in the form of number 8 was observed in the lock-in mode and the heat transfer in this mode shows an increase of about 13 percent compared to the fixed cylinder mode

A mathematical study of a two-layer fluid flow system in the presence of a floating breakwater in front of VLFS

The present study deals with the usefulness of a surface-piercing porous structure of definite width in a two-layer fluid placed at a finite distance from a floating elastic plate to mitigate the hydrodynamic response of the elastic plate. We use linear water wave theory with the eigenfunction expansion approach to develop analytical solutions to the model problem in finite water depth. Here, we identify and explore the complete parameter space associated with the problem by examining the hydrodynamic coefficients for waves in surface and internal modes, plate elevation, shear force, bending moment, wave loads on the elastic plate, flow amplitude in the plate-covered region and wave attenuation. We investigate the effectiveness of structures of various configurations and geometries on wave scattering. This study demonstrates an oscillatory pattern of wave reflection in the confined region between the plate and the breakwater. Moreover, optima in the oscillatory pattern can be observed due to the resonating interaction of waves and the breakwater-plate system. Furthermore, the research shows that an ideal width and distance between the breakwater and floating plate can be calculated while assuming an appropriate configuration of the porous structure to create a breakwater-plate system with a reasonable efficiency that possesses both reflection and dissipation properties. The design of various types of coastal structures employed in the marine environment for the reflection and dissipation of wave energy at continental shelves dominated by stratified fluid, described here as a two-layer fluid, will significantly benefit from the findings of the current study.

Magnetohydrodynamic and Thermal Performance of Electrically Conducting Fluid along the Symmetrical and Vertical Magnetic Plate with Thermal Slip and Velocity Slip Effects

Numerical and physical simulations of the magnetohydrodynamic mixed convective flow of electrically conducting fluid along avertical magnetized and symmetrically heated plate with slip velocity and thermal slip effects have been performed. The novelty of the present work is to evaluate heat transfer and magnetic flux along the symmetrically magnetized plate with thermal and velocity slip effects. For a smooth algorithm and integration, the linked partial differential equations of the existing fluid flow system are converted into coupled nonlinear ordinary differential equations with specified streaming features and similarity components. By employing the Keller Box strategy, the modified ordinary differential equations (ODEs) are again translated in a suitable format for numerical results. The MATLAB software is used to compute the numerical results, which are then displayed in graphical and tabular form. The influence of several governing parameters on velocity, temperature distribution and magnetic fields in addition to the friction quantity, magnetic flux and heat transfer quantity has been explored. Computational evaluation is performed along the symmetrically heated plate to evaluate the velocity, magnetic field, and temperature together with their gradients. The selection of the magnetic force element, the buoyancy factor 0<ξ<∞ , and the Prandtl parameter range 0.1≤Pr≤7.0 were used to set the impacts of magnetic energy and diffusion, respectively. In the domains of magnetic resonance imaging (MRI), artificial heart wolves, interior heart cavities, and nanoburning systems, the present thermodynamic and magnetohydrodynamic issuesare significant.

Exploring the design space of the effective thermal conductivity, permeability, and stiffness of high-porosity foams

With knowledge of only a few effective properties of a porous structure, the applicability of the structure for a given system can quickly be determined. This study numerically simulates the effective thermal conductivity, permeability, and stiffness of high porosity structures. Commonly used isotropic architected porous structures are compared with commercially available stochastic metal foams. The architected structures include body-centered cubic (BCC) lattice, shell-based triply periodic minimal surface (TPMS), and hybrid foam (HF) composed of beam and shell with multiple adjustable parameters. The simulated effective properties touch on the applicability in heat transfer, fluid flow, and mechanically stressful situations. The dimensionless effective properties of the structures are presented in graphical form to clearly illustrate structurally dependent properties. Compared to the stochastic metal foams, the architected structures (BCC, TPMS, and most HF) showed higher effective thermal conductivities and permeabilities. This indicates a potential to improve the efficiency of a thermal or fluid flow system by replacing the stochastic foam with architected foam. Additionally, the HF structure shows broad tunability of specific properties. All effective properties simulated were rendered dimensionless to only reflect the impact of topology, and plotted in charts to show trends. These charts can aid in the selection of porous structures in diverse applications.

INFLUENCE OF INTER- AND INTRA-CELLULOSE FIBERS IN PAPER SUBSTRATE FOR FLEXIBLE MICROFLUIDIC CHANNEL INTEGRATION

In recent times, among all the substrates used in microfluidic systems, cellulose paper is used as a handy, low-cost substrate that has gained attention for carrying fluid on its surface over capillary pressure. Cellulose paper substrate has exhibited great potential on microfluidic devices owing to prevalent obtainability, easy fluid (sample) flow system, flexibility, and low cost. Cellulose paper is fibrous, biocompatible, and hydrophilic in nature due to the hydroxyl group of the cellulose molecule. Based on the dominance of functional hydroxyl groups, cellulose is very reactive and every single cellulose fiber acts like a microchannel on the paper substrates. Aggregation of inter- and intra-cellulose fiber chains has a strong binding affinity to it and toward materials containing hydroxyls groups. In this paper, impact of inter- and intra-cellulose fiber on the paper substrate has been discussed through an experimental study. For the addition of work a “hydrophobic penetration-on-paper substrate (Hyp-POP)” method has been shown by using TiO2 ink as a hydrophobic material to design the microfluidic channel on the Whatman cellulose filter paper (grade 1) as a paper substrate. In this experimental study, the intra-cellulose fibers of paper substrate interact through hydrogen bonds with water molecules and form a hydrophilic surface on paper substrate while TiO2 binds with intra-cellulose fibers by electrostatic forces which change the crystallinity of intra-cellulose fiber and make the surface of paper substrate; hydrophobic. Field Emission Scanning Electron Microscope (FESEM) analysis is conceded for microfluidic channel analysis on the paper surface and EDS is carried out for TiO2 ink contents analysis. It has been experimentally observed that the printing material of TiO2 ink with 17.2% Ti content is suitable to integrate hydrophobic barrier on paper substrate for microfluidic channel fabrication. The wetting ability of Whatman cellulose filter paper (grade 1) was further evaluated by contact angle measurements (Data physics OCA 15EC). Using “Hyp-POP” method a hydrophobic pattern (width 3140 [Formula: see text]m) on paper substrate has been made for the flow of liquid (blue fountain ink) into a paper fluidic channel (width 1860 [Formula: see text]m) without any leakage.

Subsurface fluid flow: A case study from the Indo-Gangetic peripheral foreland basin

Subsurface fluid flow involves migration of fluids from source to surface through a wide range of geologic structures, and thus plays a crucial role in unlocking potential hydrocarbon plays. Such studies have been mainly carried out in the marine environment by means of high-resolution seismic data in unravelling the fluid flow system and remains poorly documented for on-land data. This research attempts to explore the fluid flow activity in onshore petroliferous Indo-Gangetic peripheral foreland basin of India by using high-quality 3D seismic reflection data. Several seismic attributes have been utilised for efficiently describing the patterns of subsurface fluid flow structures. The attribute-responses of fluid flow are fused into a single attribute, called the Fluid Cube meta-attribute, by designing a workflow based on artificial neural network, which has enabled to elucidate the subsurface fluid migration routes. The subsurface fluid flow features are imaged as relatively vertical mounded structure with conical vent-like morphology. Internally, these features are associated with moderately distorted reflections. The reflections at the top are vertically stacked with medium to high amplitudes. The Fluid Cube meta-attribute demonstrates that subsurface fluid vertically migrates from the Neoproterozoic strata through minute fracture networks and weaker strata of the overlying Tertiary succession. The analysis of surficial geochemical anomalies corroborates quite reasonably with these observations. Thus, the Ganga peripheral foreland basin could be considered a promising area with potential leads that can be unlocked for hydrocarbon exploration. The analysis presented through this research could be efficiently carried out over other onshore basins worldwide.

Spatial Changes in Gas Transport and Sediment Stiffness Influenced by Regional Stress: Observations From Piezometer Data Along Vestnesa Ridge, Eastern Fram Strait

AbstractGas transport through sediments to the seabed and seepage occurs via advection through pores, faults, and fractures, and as solubility driven gas diffusion. The pore pressure gradient is a key factor in these processes. Yet, in situ measurements for quantitative studies of fluid dynamics and sediment deformation in deep ocean environments remain scarce. In this study, we integrate piezometer data, geotechnical tests, and sediment core analyses to study the pressure regime that controls gas transport along the Vestnesa Ridge in the eastern Fram Strait. The data show a progressive westward decrease in induced pore pressure (i.e., from c. 180 to c. 50 kPa) upon piezometer penetration and undrained shear strength of the sediments, interpreted as a decrease in sediment stiffness. In addition, the data suggest that the upper c. 6 m of sediments may be mechanically damaged due to variations in gas diffusion rates and exsolution. Background pore pressures are mostly at hydrostatic conditions, but localized excess pore pressures (i.e., up to 10 kPa) exist and point toward external controls. When analyzed in conjunction with observations from geophysical data and sediment core analyses, the pore pressure data suggest a spatial change from an advection dominated to a diffusion dominated fluid flow system, influenced by the behavior of sedimentary faults. Understanding gas transport mechanisms and their effect on fine‐grained sediments of deep ocean settings is critical for constraining gas hydrate inventories, seepage phenomena and sub‐seabed sediment deformations and instabilities.

Solution predictive Bayesian networks knacks for entropy optimized second-order slip velocity free convective nanofluid flow along Darcy-Forchheimer porous medium

The aim of this study is to present incompressible, steady entropy optimized second-order slip velocity free convective nanofluid flow along Darcy–Forchheimer porous medium through neural network backpropagation with Bayesian Regularization Approach (NNBPBRA) under the influence of heat sink/source and viscous dissipation. The viscous dissipation effects and radiative heat flux are also employed in the presented fluid flow system. Nanomaterials are silicon dioxide and molybdenum disulfide, using water as the base fluid. To obtain the reference dataset for NNBPBRA, the ODEs which are obtained after simplifications of original fluid flow system in terms of PDEs with the appropriate application of transformation mechanism are solved numerically using state of the art numerical method. The outcome in terms of solution and error analyses plots for the modification of different parameters are interpreted using these reference datasets. The error histograms, regression analyses, and MSE indices are used to validate the performance of NNBP-BRA. In the presence of slip parameters and stratification variables, the skin friction coefficient, i.e. surface drag force, and heat transfer rate, i.e. Nusselt number, are also evaluated. The outcomes show that as the Brinkman number increases, the rate of entropy formation increases, but the temperature falls as the stratification parameter increases.