Friction Values Research Articles

Inferring Tracer Diffusivity From Coherent Mesoscale Eddies

AbstractMixing along isopycnals plays an important role in the transport and uptake of oceanic tracers. Isopycnal mixing is commonly quantified by a tracer diffusivity. Previous studies have estimated the tracer diffusivity using the rate of dispersion of surface drifters, subsurface floats, or numerical particles advected by satellite‐derived velocity fields. This study shows that the diffusivity can be more efficiently estimated from the dispersion of coherent mesoscale eddies. Coherent eddies are identified and tracked as the persistent sea surface height extrema in both a two‐layer quasigeostrophic (QG) model and an idealized primitive equation (PE) model. The Lagrangian diffusivity is estimated using the tracks of these coherent eddies and compared to the diagnosed Eulerian diffusivity. It is found that the meridional coherent eddy diffusivity approaches a stable value within about 20–40 days in both models. In the QG model, the coherent eddy diffusivity is a good approximation to the upper‐layer tracer diffusivity in a broad range of flow regimes, except for small values of bottom friction or planetary vorticity gradient, where the motions of same‐sign eddies are correlated over long distances. In the PE model, the tracer diffusivity has a complicated vertical structure and the coherent eddy diffusivity is correlated with the tracer diffusivity at the e‐folding depth of the energy‐containing eddies where the intrinsic speed of the coherent eddies matches the rms eddy velocity. These results suggest that the oceanic tracer diffusivity at depth can be estimated from the movements of coherent mesoscale eddies, which are routinely tracked from satellite observations.

Machine learning impact of radiative blood flow over a wedge in a time-dependent MHD Williamson fluid

The main objective of this research is to examine the radiation effects of an unsteady MHD Williamson biofluid (Blood) over a wedge that interacts with thermophoresis diffusion and Brownian motion. The necessary prerequisites of partial differential equations (PDEs) ensure the development of suitable mathematical frameworks for momentum, energy, and concentration. These appropriate nonlinear PDEs are frequently transmuted into ordinary differential equations (ODEs) by implemented similarity transformation. The results of these ODEs have a significant impact on the BVP4C approach from the MATLAB package computational structures. The graphs and tabular data provided the various values for pertinent parameters on the non-dimensional velocity temperature, concentration profiles, and the numerical values of skin friction, Nusselt number, and Sherwood number were found and discussed in detail. A novel aspect of the research effort was the effective incorporation of multiple linear regression (MLR) employing machine learning (ML), a statistical technique to forecast the physical quantities for present numerical results with an accuracy of 95%. Finally, the response and predicted variables were verified using linear regression. The potential benefit of these outcomes is to develop novel therapeutic and diagnostic strategies for cancer treatment, as well as for a better understanding of medical problems and designing more effective drug delivery systems. In particular, for significant developments in computer technology and resources, the enormous computational cost of these simulations still keeps them from becoming a clinical tool. An additional benefit is that the outcomes showed acceptable congruence with the tangible findings of recent research and enlargements for future investigators.

Comparing friction behavior and mechanism of three generation bearing steel (GCr15, M50, CSS-42L) paired silicon nitride under ester oil lubrication from room temperature to 350 °C

The different generations of bearing steel are designed to withstand high temperatures, quick speeds, and heavy loads and meet the requirements of aviation, aerospace, and advanced equipment production. In this study, three generation bearing systems (Si3N4/GCr15, Si3N4/M50, and Si3N4/CSS-42L) with pentaerythritol ester lubricants were selected to investigate their friction behavior and evolutionary mechanisms from room temperature to 350 °C. The results indicate that the coefficient of friction (COF) values for all three systems initially decreased and then increased as the temperature increased. The COF of Si3N4/GCr15 was not more than 0.170 when the temperature did not exceed 150 °C. Furthermore, the wear rate of Si3N4/M50 and Si3N4/CSS-42L are 2.67 × 10−4 mm3·N−1·m−1 and 2.04 × 10−4 mm3·N−1·m−1 at 260 °C, which are only 15.4% and 11.8% of Si3N4/GCr15. This discrepancy can be attributed to the formation of metal oxides on the worn surface of Si3N4/M50 and Si3N4/CSS-42L, and was easier to form on the worn surface of CSS-42L. Therefore, the applicable temperature range for GCr15 usually below 150 °C and for Si3N4/M50 and Si3N4/CSS-42L, it was from 150 to 260 °C. These results disclose the friction behavior and mechanism of these three generation bearing steel are different, and can be a guideline to choose proper bearing steel in future situation.

The microstructural characterization and wear behavior of Mg-Zn-Ce alloy with trace Ca addition

This study investigated the effects of Ca addition on microstructural characterization and wear behavior of Mg-2Zn-2Ce alloy. The results show that the formation of sub-micron-sized Ca2Mg6Zn3 phases, grain refinement, and the inhibition of dynamic recrystallization (DRX) were induced by the addition of trace Ca in Mg-2Zn-2Ce alloy. The smoother worn surfaces, higher hardness, lower average coefficient of friction (COF) values, and reduced wear rates were achieved in Mg-Zn-Ce-Ca alloy. Hence, the wear resistance was improved by microstructure modification after alloying Ca. Moreover, the main wear mechanisms of samples were both abrasive wear and delamination wear. However, the addition of trace Ca effectively slighted the degree of delamination wear.

Study on the wear characteristics of INCO939 alloy manufactured by laser powder bed fusion and casting.

This study examines the wear characteristics of INCO939 specimens spanning temperatures from 24 °C to 600 °C. Hardness measurements revealed higher values for laser powder bed fusion (LPBF) fabricated and heat-treated samples compared to cast ones. Friction tests indicated increasing coefficient of friction (COF) values for cast samples at high temperatures, while LPBF-fabricated and heat-treated samples exhibited gradual decreases. SEM and EDS mapping analyses highlighted oxidation as a protective mechanism against wear at elevated temperatures. Surface roughness worsened with temperature for cast samples but remained superior for LPBF-fabricated ones. Heat-treated specimens showed improved surface roughness at lower temperatures, decreasing from 30 µm at room temperature to smoother surfaces at 500 °C, but increased to 44 µm at 600 °C.

Investigation of the effect of thermal aging and wear test parameters on the wear behavior of glass fiber (GF) reinforced epoxy composites

AbstractThis study focused on the wear behavior of unidirectional, thick GF epoxy composites produced using the autoclave method. The thermal aging process was applied for 250 and 500 cycles to understand the wear behavior of the material as it ages over time. To evaluate the wear behavior of the samples, wear tests were carried out under three different loads (10, 20, and 30 N) and three different sliding distances (150, 300, and 450 m). Taguchi‐based regression analysis was used to analyze the experimental results. The results obtained were evaluated using ANOVA tables and main and contour graphs. When the test results are examined, it is surprisingly observed that the wear resistance of the composite material increases positively with the aging effect. With thermally aging while the coefficient of friction value of composite samples increases from approximately 0.12 to 0.3, the wear volume decreases from approximately 4 to 1.3 mm3. Taguchi based regression analysis showed that the relationship between wear and thermal cycle sliding distance and load can be established by reducing the number of experiments in wear studies.Highlights Thermal aging effect on wear properties of thick GFRP was determined. Minimum wear volume and COF values were determined by applying ANOVA. It was determined that a load increment has the most impact on wear volume. Worn surface images supported the reduction in the wear rates of the thick GFRP. Empirical regression models developed for the mathematical prediction.

Effect of CNTs on microstructure, mechanical and wear properties of the AZ91–3B4C–3SiC–xCNTs composites

This article presents a study on the effect of adding carbon nanotubes (CNTs) (0, 0.5, 1 and 2 wt-%) and hot extrusion on the microstructures, mechanical properties, and wear behaviour of AZ91–3B4C–3SiC hybrid composites. The matrix alloy is AZ91 Mg alloy which primarily consists of 9 wt-% Al and 1 wt-% Zn. A mechanical-induction stir casting process was used to add CNTs to the composite. XRD patterns and EDX analysis showed that all composites have a microstructure of α-Mg, Mg17Al12, SiC and B4C. The outcomes demonstrated that the Mg17Al12 networks can be significantly thinned by the additional CNTs. The hot extrusion also dispersed the B4C and SiC particles in the structure, improving the particle-stimulated nucleation (PSN) plus twinning mechanism, but the presence of micron particles caused stress concentration, which did not affect the composites’ strength and elongation. The wear behaviour of the as-cast and extruded composites was studied by applying 5, 10 and 20 N forces at room temperature. The results showed that the mass loss and the coefficient of friction values are decreased with the addition of CNTs, which is attributed to the increased microhardness and self-lubricating properties of the CNTs.

Statistical Evaluation of Sleeve Friction to Cone Resistance Ratio in Coarse-Grained Soils

The investigation of soil is a particularly important stage of structural design. Cone penetration tests (CPTs) are the most common soil investigation techniques. The results of these tests provide information about the values of cone resistance (qc) and sleeve friction (fs), which correspond to depth. Previous studies have shown that the ratio of sleeve friction to cone resistance depends on the particle size distribution in soil and its use for soil classification. Unfortunately, as an analysis of the literature shows, there is no such classification for coarse-grained soils. This paper presents statistically significant differences in the ratio of fs to qc in coarse-grained soils. Based on the research performed, the proposed coefficients depend on the classification of coarse-grained soils with respect to the size of the soil particles. The data investigated were obtained from study reports on 35 sites (5934 tests) at which the main type of soil was coarse-grained and contained different sizes of particles. Following a statistical analysis, five groups of tested coarse-grained soils, silty fine sand, clayey fine sand, fine sand, medium sand and gravelly coarse sand together with gravel, are derived. The analysed data show statistically significant differences in the ratio of fs to qc considering this particular type of soil. A ratio of fs to qc with a probability of 95% is proposed for sandy soils. The values for silty fine sand, clayey fine sand, fine sand, medium sand and gravelly coarse sand mixed with gravel are 0.009459, 0.010982, 0.009268, 0.008001 and 0.006741, respectively. A linear relationship between the fs and qc indexes is also suggested.

Numerical simulation on the MHD time-dependent Williamson nanofluid flow with cross diffusion and heat generation/absorption over a stretching plate

This novel study unfolds the heat and mass transfer investigation of Williamson nanofluid (WNF) through a porous medium past a stretching plate, along with considering heat generation/absorption. Nanoparticles hold significant significance in thermal engineering, industrial operations, and biomedical advancements, contributing to enhanced heat transfer, cooling mechanisms, thermal extrusion processes, and applications in cancer treatment, particularly in addressing brain tumors. The coupled ordinary differential equations (ODEs) are gained from governing partial differential equations (PDEs) by applying sufficient transformations. Then the ODEs of a nonlinear nature, along with boundary conditions, are solved through bvp4c, a built-in MATLAB program. A good agreement has been found in comparing the present study with already published papers. Numerical values for skin friction, mass transfer, and heat transfer are shown through a table against involved physical parameters, especially for both injection [Formula: see text] and suction [Formula: see text] cases, by varying the values of unsteadiness parameter A and Weissenberg number [Formula: see text]. The effects of the physical parameters on velocity, temperature, and mass profile are graphically depicted and illustrated minutely. It is noted that both the magnetic and Williamson parameters cause the thickness of the boundary layer to be reduced. It can be deduced from these findings that the rate of heat transfer over the surface of the plate decreases as the unsteadiness parameter increases. Furthermore, it is observed that an increase in the parameters of thermophoresis and Brownian motion leads to a higher temperature of the nanofluid.

Friction and wear behavior of a mechanical oscillating strip system used for interproximal enamel reduction: a quantitative and qualitative scanning electronic microscope evaluation.

To evaluate wear and friction properties of oscillating strips in order to validate the importance of a standardized interproximal enamel reduction (IPR) sequence to preserve their efficiency and lifetime. Fifteen complete oscillating IPR sequences were tested by means of tribological tests (Linear Reciprocating Tribometer, C.S.M. Instruments, Peseaux, Switzerland). Fifteen single 0.2-mm metallic strips underwent a long continuous cycle of 240 minutes. Strip surface roughness and waviness measurements were assessed by means of a contact probe surface profiler (TalySurf CLI 2000; Taylor Hobson, Leicester, UK) and TayMap software. Statistical analysis was performed with independent-samples t-test. Significance was at the P < .05 level. Scanning electronic microscopy analysis of strip surfaces was conducted with an FEI Quanta 200 (Hillsboro, Ore) in high vacuum at 30.00 kV. Resin strips revealed a significant reduction in surface roughness (Ra, Rt, RDq) and a significant increase in waviness parameters (Wa, Wt). Rt and RDq values significantly decreased upon use of the metallic strips. Significantly higher values of Wa (+ 2.84 µm) and Wt (+0.1 µm) were observed only for the 0.2-mm metallic strips. Higher friction values were observed when the metallic strips were tested singularly rather than within the entire sequence. Lower Ra and Rt values were revealed when 0.2-mm metallic strips were tested up to 240 minutes. The application of a standardized oscillating sequence allows for more efficient wear performance of the strips with a significant impact on their abrasive power and lifetime.

Validation of Gear Friction Equation Using Directional Parameter

Abstract In our previous study, the Matsumoto equation was modified by introducing the directivity of machining marks on the tooth surfaces (directional parameter), and it was adapted to estimate the gear friction coefficient with various finishing processes. However, this new estimation equation has been applied only to gear pairs with the same finishing process and under manual transmission fluid (MTF) lubricated conditions. Thus, this study extends its application to a gear pair with different finishing processes and the case under automatic transmission fluid (ATF) lubricated conditions. Herein, efficiency tests were performed using gears with four different finishing processes (grinding, barreling, honing, and small-angle honing), and friction values obtained experimentally were compared with the values estimated from the unmodified and modified Matsumoto equations. Consequently, the correlations between the experimental and estimated friction values were significantly improved.

Improving physicochemical and tribological characteristics of bio-lubricants using carbon-based hybrid nanomaterials modified by tertiary-butyl-hydroquinone

Vegetable oils are being increasingly studied in tribology due to their environmental benefits. This study investigates the physicochemical and tribological properties of carbon black/silver (CB/Ag) hybrid nanomaterials modified by tertiary-butylhydroquinone (TBHQ) as lubricant additives. The composition of the tribolayer formed were characterized using an FE-SEM, 3D surface profilometer, and XPS analysis. The results reveal a substantial decrease in the coefficient of friction (COF) value for the hybrid nanolubricant, with an approximate 31% reduction compared to the baseline oil. Finally, the characterization of worn surfaces strongly supports the noteworthy improvement in friction performance, primarily ascribed to the synergistic effects of CB, Ag nanoparticles, and TBHQ antioxidant surfactants. This study affirms that TBHQ-modified CB/Ag hybrid nanoparticles serve as eco-friendly lubricant additives.

A numerical study of thermal and diffusion effects on MHD Jeffrey fluid flow over a porous stretching sheet with activation energy

The primary aim of this research work is to develop a mathematical model for the two-dimensional steady incompressible flow of a Jeffrey fluid over a vertical stretching sheet immersed in a Darcy porous medium. The combined effects of Soret and Dufour numbers, activation energy, viscous dissipation, thermal radiation, mixed convection, and Joule heating are included in the energy and concentration equations within this model. Using appropriate similarity variable transformations, the governing partial differential equations were altered into nonlinear ordinary differential equations and then solved numerically using the Runge-Kutta-Fehlberg method along with the shooting technique. The impact of various physical parameters on concentration, velocity, and temperature profiles is deployed through graphs. The velocity increased with a gradual increment in the values of the viscous ratio, thermal, and solutal stratification parameters, whereas the reverse trend was noticed for the magnetic strength. The temperature diminishes as the Prandtl number increases, whereas the opposite scenario exists for Eckert and Dufor numbers and radiation. The fluid concentration rises for a monotonic increment of the Soret number, while it reduces as the Schmidt number, activation energy, and reaction constraint escalate. The amplification of skin friction is observed with an increase in magnetic field strength, while it decreases with an increasing viscous ratio factor. The Nusselt number decreases as radiation increases and the Eckert number rises, but the opposite scenario occurs with increases in the Prandtl number. The Sherwood number is heightened by an increase in the Schmidt number, reaction, and activation energy factors. Moreover, the numerical values of skin friction and the Nusselt number are compared with the previously published work, demonstrating excellent agreement between the results.

Correlating Frictional Forces Generated by Different Bracket Types during Sliding and Surface Topography Using Scanning Electron Microscopy and Optical Profilometer.

The study aims to correlate the frictional forces (FF) of four different types of commercially available ceramic brackets to their surface topography. Two monocrystalline (MC) brackets (CLEAR™, Adanta, Germany; Inspire ICE™, Ormco, USA), one polycrystalline (PC) bracket (Symetri Clear™, Ormco, USA), one clear hybrid esthetic bracket (DISCREET™, Adanta, Germany), and a stainless-steel (SS) bracket (Victory™, 3M Unitek, USA) served as control. Both static friction (SF) and kinetic friction (KF) were recorded during sliding using an Instron universal machine in dry settings. The bracket slot surface topography was evaluated. A scanning electron microscope (SEM) and a profilometer machine were used for assessment before and after sliding. Frictional forces values during sliding were as follows in descending order; Inspire ICE™, CLEAR™, DISCREET™, Symetri Clear™, and, lastly, Victory™. Also, DISCREET™ scored the highest in surface roughness (Sa) values followed by Symetri Clear™. None of the correlations were statistically significant. Frictional forces produced during sliding were not always directly related to surface roughness. Monocrystalline ceramic brackets appeared to have the greatest FF and a low surface roughness. Furthermore, DISCREET™ scored a very low frictional value comparable to metal brackets yet showed the highest surface roughness. Metal brackets exhibited the greatest surface smoothness before sliding and the least SF. Predicting the FFs produced during sliding mechanics would help the practitioner while choosing the bracket system to be used, and while planning the treatment mechanics, how much force to deliver, and how much tooth movement to expect. How to cite this article: AlBadr AH, Talic NF. Correlating Frictional Forces Generated by Different Bracket Types during Sliding and Surface Topography Using Scanning Electron Microscopy and Optical Profilometer. J Contemp Dent Pract 2024;25(1):41-51.

Darcy–Forchheimer flow of Carreau fluid over a curved stretching surface with slip condition and variable thermal conductivity

The aim of this study is to perform analysis of nonlinear mixed convection flow of Carreau fluid due to curved stretched surface with slip condition. Furthermore, the effect of Darcy–Forchheimer and MHD is taken into consideration. The energy equation is modified by considering the variable thermal conductivity with Joule heating effect. The governing equations of the problem are highly nonlinear partial differential equations subjected to boundary conditions. Similarity transformations are used to transform nonlinear PDEs into ODEs. The numerical technique is used to solve this problem via bvp4c. The main outcomes of this research are that the impact of Forchheimer and porosity parameter tends to decrease the fluid velocity for shear thickening case. The velocity slip condition increases the fluid velocity only near the surface but the fluid velocity away from the surface does not get affected. The changing thermal conductivity raises the temperature of the fluid near the boundary. Furthermore, the impacts of various parameters on the velocity and temperature profiles are demonstrated. The values of local Nusselt number and skin friction for a different parameter are provided.

Numerical investigation on MHD non-Newtonian pulsating Fe 3 O 4-blood nanofluid flow through vertical channel with nonlinear thermal radiation, entropy generation, and Joule heating

The main aim of the present investigation is to examine the effect of nonlinear thermal radiation, slip, and Joule heating on MHD Pulsatile flow of third-grade ferro-nanofluid via vertical channel with entropy generation. The significance of this study is that it has plenty of physiological applications like cancer treatment, vitamin injections, dialysis, heart–lung machines during surgeries and industrial applications like filtration, pharmaceutical fluid production, and dispensing cosmetic/glue emulsions with no contamination. Furthermore, the ferro-nanoliquid model is the best model for numerous bio/industrial fluids. Therefore, this study explores the entropy analysis of pulsating third-grade ferro-nanoliquid flow between two parallel vertical walls under an applied magnetic field. Blood is taken as a base fluid (third grade), and iron oxide is used as nanoparticles. The governed nonlinear partial differential equations (PDEs) are nondimensionalized, and then the perturbation technique is employed to attain the set of nonlinear ordinary differential equations (ODEs). The bvp4c technique with MATLAB software is utilized to obtain the solutions for the set of ODEs. The deviations in several physical quantities on the flow variables are deployed via graphs. An increment in Eckert number and radiation parameter accelerates the temperature. Entropy generation rate and Bejan number are accelerated for greater values of radiation parameter. The values of the skin friction and Nusselt number against various physical parameters are presented in tables.

Assessment of heat transfer in a triangular duct with different configurations of ribs using computational fluid dynamics

Abstract Numerical investigation was performed to improve heat transfer in triangular ducts using ribs of different sizes and shapes. Increased heat transfer may be achieved by the roughness in the duct surface, which is a prospective and successful method. It is shown that the sectional shape of the roughness given on the area exposed to heat has a major impact on the effective performance of heat transfer channels. This research will study the results of using different shapes and sizes of roughness components, such as triangular rib (e/W = 0.1, 0.2, and 0.3) as well as semi-circular rib (R/W = 0.1, 0.2, and 0.3). Likewise, the influence of rib width b (b/w = 0.2, 0.4, and 0.6) is examined using computational fluid dynamics for variable Reynolds number (1,000 &lt; Re &lt; 1,800) at fix rib height (e/W, R/W = 0.1). ANSYS FLUENT 2020 R1 is used to model the heat and the flow dynamics in roughened ducts. The best performance was for the semi-circular ribs. At a Reynolds number of 1,200, the optimum ratio of enhancement (ε) for the semi-circular rib sample e = 0.2 × W was 1.717. Additionally, sample 4 has the greatest Nusselt number across all Reynolds numbers and is the best-shaped sample. Furthermore, the pressure drop and the friction factor also increase when the rib width is increased, the sample (p = 0.2 × W) highest pressure drop and coefficient of friction values.

Non-similar analysis of MHD hybrid nanofluid flow over an exponentially stretching/shrinking sheet with the influences of thermal radiation and viscous dissipation

This article presents non-similar analysis of Tiwari-Das hybrid nanofluid flow toward the exponentially expanding/shrinking sheet. Aluminum oxide ( A l 2 O 3 ) and copper ( Cu ) nanoparticles have been dispersed in the water. The significance of viscous dissipation, thermal radiation, magnetic fields, and heat sources has been observed in this work. A mathematical system is transmuted into a dimensionless, non-similar form by the utilization of non-similar transformations. The non-similar partial differential system is simulated by employing local non-similarity up to the 3rd order of iteration via bvp4c. The significance of flow constraints versus energy and velocity profiles is demonstrated through figures and tables. The fluid velocity decreases with expanding magnetic field ( M ) and injection parameters ( S ) . Energy profile grows as radiation ( Rd ) and heat generating ( Q ) parameter increases. The thermal profile is thought to be diminished by an expansion in the Prandtl number ( Pr ) . Stretching parameter ( λ ) increases cause a reduction in the temperature profile, whereas the heat profile grows as the Eckert parameter ( Ec ) increases. For particular values of the skin friction ( C f ) and Nusselt number ( Nu ) , numerical values are produced using local similarity and local non-similarity approaches. The findings indicate that skin friction decreases as the magnetic parameter ( M ) rises, but an expansion of the Prandtl number creates a growth in the Nusselt number. Excellent agreement between the current work and the published article is discovered in limiting cases.

Characteristics of MHD Jeffery Fluid Past an Inclined Vertical Porous Plate

This paper is concerned with the study of an unsteady, MHD natural convective boundary layer flow of a viscous, incompressible and electrically conducting, non-Newtonian Jeffery fluid over a semi-infinite vertically inclined permeable moving plate embedded in a porous medium in the presence of thermal radiation, heat absorption and thermal diffusion, heat and mass transfer. . The permeability of the porous medium and the suction velocity are considered to be an exponentially decreasing function of time. The fundamental governing equations for this investigation are solved numerically using the perturbation technique. The results are presented graphically and in tabular form for various controlling parameters. The behavior of different physical parameters is shown graphically. The numerical values of Skin friction, Nusselt number, and Sherwood number are presented in a tabular form. Obtained outcomes are compared with earlier studies in the special case and strong agreement is noted. From graphical representation, it is concluded that velocity and temperature distribution increases with the mixed convection parameter and buoyancy force parameter. An increasing value of magnetic field parameter, slip parameter, and Jeffery parameter tends to reduced velocity and also raising the values of Prandtl number, radiation parameter and heat absorption parameter tends to downfallen temperature profiles. This study may be useful in several industrial applications, for example, polymer production, manufacturing of ceramics or glassware and food processing, and so forth.

A proceeding to numerical study of mathematical model of bioconvective Maxwell nanofluid flow through a porous stretching surface with nield/convective boundary constraints

Nanofluids become significant in the mass and heat transfer models, especially in engineering problems. Current proceedings focused on the bioconvective Maxwell nanofluid flow passing through the permeable stretchable sheet contingent to nield boundary conditions involving effects of activation energy and thermal radiation. Various physical quantities are involved in this mechanism like magnetic field, thermophoresis, and Brownian motion. The main objective of the study is to report the heat and mass transport in the existence of motile microorganisms. In a mathematical perspective, this structured physical model is going to govern with the help of partial differential equations (PDEs). These governing PDEs are then converted into dimensionless ordinary differential equations form by utilizing appropriate similarity transformations. For numerical results, the shooting technique with ‘bvp4c’ built-in package of MATLAB was implemented. Computed results are then visualized graphically and discussed effects of involving physical variables on the nano-fluid flow profiles are comprehensively. From results, it has been concluded that the fluid flow velocity, temperature, concentration, and microorganism density profiles show escalation on increasing the numeric values of porosity, thermophoresis, buoyancy ratio, bioconvection Rayleigh, Peclet number parameters and decrement reported due to increasing the counts of Prandtl number, magnetic field, radiation, Brownian motion, Lewis number as evident from figures. The numerical outcomes observed by fixing the physical parameters as 0.1<λ<3.0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < \\lambda < 3.0$$\\end{document}, 0.1<M<1.5\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < M < 1.5$$\\end{document}, 0.1<Nr<6.0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < Nr < 6.0$$\\end{document}, 0.1<Rb<1.5\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < Rb < 1.5$$\\end{document}, 0.1<Nb<6.0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < Nb < 6.0$$\\end{document}, 0.1<Nt<1.0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < Nt < 1.0$$\\end{document}, 2.0<Pr<2.9\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$2.0 < \\Pr < 2.9$$\\end{document}, 0.1<Rd<0.4\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.1 < Rd < 0.4$$\\end{document}. Magnetic field and Brownian motion create retardation impact due to the liquid momentum. In tables, the numerical values of Skin friction, Nusselt number, Sherwood number, and microorganisms density number are presented and also comparison table of our computed results and already published results is included for the validation.