Variation Of Physical Parameters Research Articles

Evolution dynamics of fundamental mechanisms of wave propagation in gas bubble-liquid interactions and soliton solutions

Abstract This paper investigates the dynamics of solitary wave solutions based on the (3+1)-dimensional nonlinear wave equation with variable coefficients expressed to describe gas-bubble-liquid interactions. The generalised (1/G’)-expansion method, new solitary wave solutions for this equation have been successfully derived to better understand the underlying dynamics of wave phenomena, especially in gas-bubble-liquid systems. Thanks to this method, the results of the variations of physical parameters in the generated solutions are also emphasised. The physical dynamics of each dimension in the generated solutions allow both the dimensions to be compared with each other and the equation to be compared with the existing literature with a holistic understanding. With this application, we have also analyzed the direct effects of the viscosity of the fluid on the dispersion of the bubble. These solitary solutions have helped us to better explain the wave behavior in gas-bubble-liquid systems and provided a new perspective on the solution of nonlinear wave equations. The structure of the study contributes to a deeper understanding of wave phenomena by discussing the (3+1) dimensional variable coefficient nonlinear wave equation within the framework of both mathematical analysis and physical analysis.

A long-term dataset of <i>in-situ</i> temperature data reveals wind-induced up- and downwelling in the coastal waters of Nha Trang, South Central Vietnam

In order to implement successful coastal management and protect corals, it is imperative to understand the Nha Trang Bay’s coastal processes and take adequate measures to protect corals and reef structure. This paper aimed to analyze whether sudden variations in physical parameters, such as temperature, could be potentially harmful to coastal coral reefs, in addition to anthropogenic factors such as pollution and intensive fishing. In this paper, the first long-term observation (2008–2019) of temperatures, not only from SST data, but also in situ in coral reefs (10 and 18 m depth) at Nha Trang Bay, South Central Vietnam, was investigated. The data showed that wind-induced upwelling during summer mainly govern the coastal region. In contrast, wind-induced downwelling was found during winter, visible in all three investigated water layers (SST, 10 and 18 m). In winter, the vertical mixing is strong and there is virtually no time-lag between the layers. In summer a scattering layer was formed, the phenomenon where a layer of water with different properties (such as temperature or salinity) is formed, blocking the sinking of water. In summer, correlations with air temperature were not significant, nor were correlations with night cooling, thus having implications for the distribution of nutrients and the health of the coral reefs. However, this was only the situation near the coast. Wavelet analysis shows that the short-term variability is significantly more substantial, caused by the shallow depth of the thermocline, which is much stronger affected by tidal and weather events than in winter. As a result of the combination of large yearly temperature variations (21oC to 31oC) plus increased sediment deposition in the rainy seasons, reefs close to the shore are generally not well-developed. This paper strongly advocates for science-based monitoring of coral reef conditions and underscores the need for law enforcement within the Marine Protected Area of Nha Trang Bay.

Rotifers as indicators of trophic state in small water bodies with different catchments (field vs. forest)

AbstractCurrent methods for assessing lake trophic status using zooplankton are well-established, but there is a lack of approaches for small, shallow water bodies. This study addresses the gap by analyzing rotifer communities across 100 ponds in different catchment areas (field and forest). We hypothesized that the Rotifer Trophic State Index (TSIROT) is an effective tool for assessing trophic state, yielding comparable results to the Carlson TSI index. We also proposed that variations in physical and chemical parameters would significantly affect rotifer composition, impacting the trophic state assessment. Field ponds, exposed to agricultural runoff, exhibited higher trophic states and a predominance of detritivorous species. In contrast, forest ponds, with extensive macrophyte coverage, maintained lower trophic states and supported diverse algivorous species, particularly of littoral and mesotrophic origin. This confirmed our hypothesis that catchment type strongly influences trophic state and rotifer communities. We demonstrated that rotifer traits—abundance, species diversity, habitat type preferences and proportions of eutrophic versus mesotrophic species—along with TSIROT, are effective in assessing water quality in ponds. Overall, the results validate TSIROT as a reliable tool for small water bodies, comparable to Carlson’s TSI index, and highlight the importance of catchment type in influencing water quality.

Spurious radiated power signal following massive material injections in JET and the effect of neutral gas pressure on resistive bolometers.

Massive material injections in the JET tokamak have been observed to substantially affect resistive bolometer measurements, resulting in a spurious radiated power signal proportional to the quantity injected and reaching up to 8MW. These bolometers are calibrated and designed to operate in near vacuum but certain scenarios requiring large gas injections can push the neutral pressure past nominal values. This study demonstrates that the bolometry measurement can be affected at neutral pressures above 0.1Pa following injections with standard gas valves, shattered pellet injections, and particularly massive gas injections. The power measurement of resistive bolometers is based on the temperature difference between a measurement sensor exposed to radiation and a shielded reference sensor. We employ a thermal conductivity model to demonstrate that the conduction through the gas and the distinct geometries between the sensors can affect their cooling efficiency. This additional cooling pathway, coupled with the Joule heating from the applied voltage causes the equilibrium temperatures of the sensors to diverge. Being the very basis of the measure, this temperature difference induces a signal that is erroneously interpreted as radiated power. Experiments show large discrepancies in the response to neutral pressure among bolometer channels, attributed to variations in channel physical parameters. Nonetheless, the modeled total radiated power reproduces the experimental measurements within an order of magnitude, affirming the sensitivity of resistive bolometers to neutral pressure and gas species.

On the applications of neural network technique for electro-viscoplastic Casson hybrid ferrofluid with a permeable channel

The flow of a hybrid ferrofluid (Fe3O4 − CoFe2O4) /H2O in the presence of magnetic field in a rectangular domain between two permeable channels has been studied considering the flow is unsteady, viscous, irrotational. The model's applicability in both industrial and medicinal settings makes this work advantageous. Thermal buoyancy and heat sources/sinks over the flow have also been considered in this work. The hybrid nanoliquids can easily escape, squeeze, and dilate through the permeable channel. A mathematical framework has been developed to examine and demonstrate the solutions both numerically and graphically, considering the variations of physical parameters inside the flow geometry. The controlling PDEs are transformed into ODEs using similarity transformations and then solved using Newtonian shooting technique. Furthermore, ANN model with Levenberg- Marquardt back propagation technique is applied for the prediction of Nusselt number and pressure gradient. For this, a data set is generated from the numerical method to perform training, testing and validation. The MATLAB software has been used for overall computation. Mean square error (MSE), regression values, and error histograms are used to compare predicted data correctness. This ANN trained model is used for predicting non-dimensional quantities via the heat transfer rate, skin friction coefficient, and pressure distribution.

Geoenvironmental and geophysical methods applied to identify natural attenuation process on a complex hydrogeological environment contaminated by hydrocarbons

Environmental contamination found in urban areas generally has a chemical composition that favors the generation of a variety of physical, chemical and biological processes that differ from natural soil parameters. Thus, understanding natural attenuation processes in tropical environments is still a challenge, as is understanding how biogeochemical processes can influence and modify natural soil characteristics. The study aimed to apply methods that are not commonly used in investigations of contaminated areas, in order to assess the applicability of non-invasive methodology for detailed stratigraphic characterization and biogeochemical changes resulting from contamination by hydrocarbons in a complex hydrogeological environment site. To date, few studies have presented results obtained using non-invasive techniques to understand biochemical processes. The research was based on the interpretation of results obtained by high-resolution physical environment characterization techniques (such as gamma geophysical profiling and electrical conductivity surveys) and chemical analysis of groundwater. The data was interpreted to obtain a detailed characterization of the study area and evidence of the occurrence of natural attenuation of creosote contamination. The results indicated that the combination of geoenvironmental and geophysical methods is an interesting alternative for obtaining data and understanding the mineralogical and stratigraphic variation of the contaminated area. The physical parameters variations obtained by the methods suggested the presence of local geochemical alterations resulting from natural processes of attenuation of contamination by aliphatic and aromatic hydrocarbons in a tropical environment. The natural attenuation processes were confirmed through groundwater samples, biological analysis and metagenomic classification.

New Comprehensive Stability and Sensitivity Analysis on Graphene Nanoribbon Interconnects Parameters

Based on the transmission line modeling for multilayer graphene nanoribbon (MGNR) interconnects, system stability was studied on intrinsic parameters. In addition to width,length and height variation, dielectric constant, permeability and Fermi velocity path change in multilayer graphene nanoribbon (MGNR) interconnects are analyzed. In thispaper, the obtained results show with increasing dielectric constant and decreasing permeability, Fermi velocity system becomes more stable. Nyquist diagram and stepresponse method results confirm these and are matched with physical parameter variation like resistance, capacitance and inductance in the following sensitivity analysis results where it shows with increasing width and length, sensitivity will decrease and increase respectively. Impulse response diagram results show with increasing 50% width, sensitivity will be zero but with increasing 50% length, amplitude will decrease and the time of setting will increase. On the other hand, from the step response of the transfer function, both width and length increase cause more stability for a system but the width parameter will be a better choice for manipulating the dimension of MGNR to reach a stable system.

Legged walking robot design applying the adaptive behavior of passive dynamic walking and interconnections among the different dynamics

In this paper, the authors propose a new design methodology for legged walking robots with dynamic characteristics suitable for walking motions by applying the unique properties of Passive Dynamic Walking as design criteria. The authors have identified the ‘adaptive behaviour’, in which the passive dynamic walking robot automatically adjusts its gait to keep walking in response to variations in physical parameters, such as the slope angle or mass, that constitute its mechanics. Furthermore, the authors discovered that this adaptive behaviour enables the transition of the structure and degrees of freedom of the passive dynamic walking robot to different mechanical systems through the application of ‘interconnections among different dynamics’. This paper introduces new mechanical design approach for legged robots that applies these unique properties, with its validity verified through the computer simulations.

Three dimensional time-variation simulator for water flooding reservoir based on “effective water flux”

Long-term water flooding leads to changes in pore throat structure, resulting in alterations in macroscopic reservoir petrophysical parameters. However, commercial numerical simulation software does not have this capability. Ignoring variations in physical parameters during the formulation of development plans and numerical simulations can lead to significant prediction errors, which severely impacts oil field recovery. This paper, based on an analysis of effective flow rate and waterflood intensity, proposes a new erosion degree characterization parameter: Effective water flux, to represent the time-varying patterns of physical parameters. It is embedded into a black oil model to develop a time-variation simulator, whose accuracy and stability in both black oil and time-variation models are validated through comparison with the commercial numerical simulation software CMG. The study further explores the effects of different parameter variations on the development process. It was found that increases in permeability and oil viscosity exacerbate heterogeneity and reduce displacement efficiency, while decreases in residual oil saturation and water phase permeability under residual oil saturation enhance water flooding efficiency. In complex models, the effects of variations in different parameters intertwine, collectively influencing development outcomes. This paper advances the development of time-variation numerical simulation technology.

Tuning the Noise‐Driven Magnetocaloric Effect in Doped GaAs Quantum Dot in View of Tsallis Entropy

AbstractCurrent inspection strives to perform a detailed elaboration of the Tsallis entropy‐based magnetocaloric effect (MCE) of GaAs quantum dot (QD) doped with Gaussian impurity and under applied Gaussian white noise. Noise takes additive and multiplicative pathways for its entry to the doped QD. MCE has been found to decrease following the enhancement of temperature. The enquiry manifests magnetic field‐induced confinement and consequent decline in the disorder of the system during the gradual variation of several physical parameters. However, harnessing the extent of above confinement involves extremely sensitive and delicate control over the resultant influence of the particular physical parameter undergoing change, its range of magnitude, application of noise and its mode of inclusion. Importantly, MCE has been found to maximize only during the change in the strength of the dopant potential under multiplicative noise. And, on most occasions, multiplicative noise profoundly raises the MCE over its value under the state devoid of noise and under additive noise.

Ultrathin metal-dielectric planar interface for high-performance photonic spin Hall effect

Abstract This study explores the photonic spin Hall effect (PSHE) with a focus on its sensitivity to incident wave polarization and physical parameter variations. Traditionally surface plasmonic resonance (SPR) systems mainly enhance H-polarized PSHE. However, our proposed method involves an ultrathin metal layer, capped with a glass dielectric layer on a glass substrate, to achieve high-performance PSHE for both H- and V-polarization waves. This high-performance PSHE in terms of enhancement in PSHE magnitudes arises from the simultaneous presence of SPR and waveguiding effects, resulting in the emergence of hybrid TE and TM modes. Investigating Au and Ag ultrathin metal layers, we find that the highest H-polarized PSHE occurs at ~1.52 × 10^6 nm and ~2.05 × 10^5 nm for Au and Ag, respectively. Similarly, for Vpolarized incident light, maximum enhanced PSHE is observed at ~1.58 × 10^5 nm and ~9.48 × 10^4 nm for Au and Ag, respectively. By adjusting the thickness of the metal and/or glass cap layer, precise control over PSHE amplitude and active polarization response is achievable. This research unveils unique capabilities for generating hybrid modes that enhance PSHE for both polarizations, offering a potential platform for developing tunable polarizationfavorable spin optics optoelectronic devices.

Analysis of the Impact of Biomass/Water Ratio, Particle Size, Stirring, and Catalysts on the Production of Chemical Platforms and Biochar in the Hydrothermal Valorization of Coffee Cherry Waste

In Colombia alone, 12.6 million bags of green coffee are produced, but at the same time, 784,000 tons of waste biomass are dumped in open fields, of which only 5% is recovered or used, and 10 million tonnes of coffee emit 28.6 million tonnes of CO2 eq annually. This presents a worrying dilemma, and the need to develop a technology to transform the waste into usable products is increasing. As a response to this, the valorization of coffee waste was explored through the production of biochar and platform chemicals by implementing a set of hydrothermal experiments with different biomass/water ratios (1:5, 1:10, 1:20, 1:40), particle sizes (0.5, 1, 2, 5 mm), stirring rates (5000 and 8000 rpm), and catalysts (H2SO4, NaHCO3 and CH3COOH) at 180, 220, and 260 °C in a batch reactor with autogenous pressure. Notably, the smaller B:W ratios of 1:20 and 1:40, as well as smaller particle sizes of 0.5 and 1 mm, yielded higher amounts of platform chemicals, while stirring showed minimal influence. CH3COOH significantly enhanced the process compared to other catalysts. The biochar was characterized as anthracite, and this obtaining of coal-like materials from biomass itself represents a remarkable feat. Said anthracite presented little to no variation in physical parameters, while catalysts induced functionalization. By optimizing factors like B:W ratio, particle size, and catalyst application, valuable insights have been gained into enhancing the yield of platform chemicals and quality of biochar from coffee waste. The findings not only contribute to sustainable waste management practices but also highlight the importance of exploring innovative solutions for utilizing agricultural by-products effectively.

Graphene-based Cr-GaAs-Ag multilayer absorber structure for solar heating applications

The optimization of the solar absorber is very important to develop the efficiency of the solar absorber. We have designed here one solar absorber which is optimized using variation in different physical parameters. The design of this absorber is based on Cr-GaAS-Ag materials which is also based on a thin film graphene material. The designed solar structure is used for heating applications which can be applied in industrial use. The highest absorption of more than 99 % is achieved for different wavelengths. The design also shows the 97.1 % absorption for the 1000 nm wavelength. The optimization section is also provided in this research at the end of results section. The conclusions are obtained using absorption for the different layer structures in this research. Layer by layer analysis for the absorption is provided in this manuscript. The research is aimed at renewable energy use in the industries by providing sustainable heating applications.

DETERMINATION OF LOAD CHARACTERISTICS OF A LINEAR ELECTROMECHANICAL ENERGY CONVERTER FOR THE TILT SYSTEM OF RAILWAY ROLLING STOCK

The article discusses the prerequisites for selecting the parameters of a Linear Electromechanical Energy Converter (LEEC) for the tilt system of railway rolling stock. Special attention is given to determining the required force to tilt the body to a specified angle and the load characteristics of the LEEC. To achieve this goal, a simulation model has been created that allows for the variation of geometric and physical parameters to obtain load characteristics for different configurations of the tilt mechanism. The obtained load characteristics are used to find the optimal placement of linear actuators in the tilt system.

PL-TOSP, the Novel Entry Point in Transforaminal Endoscopic Spine Surgery: Radiological Analysis with Prospective Surgical Evaluation and Review of Literature of Various Skin Entry Points.

Objective Aim of this study was to analyze variation in angulation of trajectories of various skin entry points in transforaminal endoscopic spine surgery with change in the physical parameters, namely, weight, abdominal girth, and body mass index and to validate our hypothesis that posterolateral (PL)-tip of spinous process (TOSP) entry has minimal variation in the angle of trajectory as compared with currently available skin entry points. The study included an analysis of the functional outcomes of these patients who underwent transforaminal endoscopy using the novel PL-TOSP technique, assessing improvements in pain and disability. Entry point in transforaminal endoscopic lumbar discectomy (TELD) was taken as a rough distance of 10 to 12 cm from midline as proposed by Kambin whereas Yeung and Tsou advised entry point as distance between the center of the disc space and the posterior skin line measured on lateral. But entry points cannot be static as they tend to change according to changes in physical parameters. Materials and Methods This study comprises of radiological analysis and a prospective evaluation of these patients operated on using the PL-TOSP entry point. Radiological analytic study was performed on 50 symptomatic preoperative patients who underwent transforaminal endoscopy using the novel PL-TOSP entry point. A lumbar spine magnetic resonance imaging (MRI) field of vision (MRI-FOV) was performed for the patients including the abdominal perimeter. Weight, height, and abdominal girth of the patients were noted prior to MRI. Angulation of trajectory made by four standard entry points used in TELD, namely, 45-45, PL, TOSP), dorsum of facet joint, and our proposed entry point PL-TOSP (which is a midpoint between PL and TOSP entry), were calculated using MRI-FOV at L45 and L5S1 level. For the functional outcome analysis of these 50 patients, preoperative Visual Analogue Score (VAS) for lower limb pain and Oswestry Disability Index (ODI) were recorded. Postoperative VAS and ODI scores were reassessed at 2, 6, and 12 weeks. Statistical analysis was conducted to evaluate the significance of changes in VAS scores and ODI preoperative versus postoperative. A p -value of < 0.05 was considered statistically significant. Results Angle of trajectory with the horizontal for all five entry points varies with physical parameters. PL-TOSP entry point has the least variation with change in physical parameters as compared with other entry points. The range of angle for PL-TOSP entry was 21 to 29 degrees. In our study, there was improvement in postoperative VAS and ODI scoring systems which was statistically significant ( p -value < 0.05). This suggests reliability of our proposed entry point with consistent postoperative improvement. Conclusion The novel PL-TOSP entry point for transforaminal endoscopy demonstrates superior stability in trajectory angle despite variations in physical parameters, and is associated with significant improvements in functional outcomes and pain reduction for patients with lower limb radiculopathy. Angulation of PL-TOSP trajectory with horizontal also corresponds to current generation of endoscopes (25 or 30 degrees).

Mathematical modeling and machine learning-based optimization for enhancing biofiltration efficiency of volatile organic compounds

Biofiltration is a method of pollution management that utilizes a bioreactor containing live material to absorb and destroy pollutants biologically. In this paper, we investigate mathematical models of biofiltration for mixing volatile organic compounds (VOCs) for instance hydrophilic (methanol) and hydrophobic (α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha$$\\end{document}-pinene). The system of nonlinear diffusion equations describes the Michaelis-Menten kinetics of the enzymic chemical reaction. These models represent the chemical oxidation in the gas phase and mass transmission within the air-biofilm junction. Furthermore, for the numerical study of the saturation of α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha$$\\end{document}-pinene and methanol in the biofilm and gas state, we have developed an efficient supervised machine learning algorithm based on the architecture of Elman neural networks (ENN). Moreover, the Levenberg-Marquardt (LM) optimization paradigm is used to find the parameters/ neurons involved in the ENN architecture. The approximation to a solutions found by the ENN-LM technique for methanol saturation and α\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha$$\\end{document}-pinene under variations in different physical parameters are allegorized with the numerical results computed by state-of-the-art techniques. The graphical and statistical illustration of indications of performance relative to the terms of absolute errors, mean absolute deviations, computational complexity, and mean square error validates that our results perfectly describe the real-life situation and can further be used for problems arising in chemical engineering.

ASTERIA — Thermal inertia evaluation of asteroid Didymos

Asteroid Didymos, recently targeted by the NASA DART mission, is also planned to be visited by the ESA Hera mission. The main goal of the DART mission was to impact Dimorphos, the small satellite of Didymos, which was accomplished in September 2022. This collision altered the Didymos–Dimorphos system, generating a notable quantity of ejecta that turned Dimorphos into an active asteroid, with some ejecta potentially settling on the surfaces of both components. This prompts the investigation into the extent of post-impact surface alterations on these bodies, compared to their original states. The purpose of this study is to independently evaluate the pre-impact thermal inertia of Didymos. We employed ASTERIA, an alternative to conventional thermophysical modeling, to estimate the surface thermal inertia of Didymos. The approach is based on a model-to-measurement comparison of the Yarkovsky effect-induced drift on the orbital semi-major axis. These results, alongside existing literature, enable an evaluation of the impact-induced alterations in Didymos’s thermal inertia. Our nominal estimate with a constant thermal inertia model stands at Γ=211−55+81 J m−2 K−1 s−1/2, while assuming it varies with the heliocentric distance with an exponent of −0.75 thermal inertia of Didymos is found to be 258−63+94 J m−2 K−1 s−1/2. Subsequent verification confirmed that this result is robust against variations in unknown physical parameters. The thermal inertia estimates for Didymos align statistically with values reported in the literature, derived from both pre- and post-impact data. The forthcoming Hera mission will provide an opportunity to further corroborate these findings. Additionally, our results support the hypothesis that the thermal inertia of near-Earth asteroids is generally lower than previously expected.

Impact of inclined magnetic field on natural convection in ferrofluid within a semi-circular enclosure with a heated wavy surface

Ferrofluids are liquids that exhibit distinctive magnetic properties when subjected to a magnetic field. Due to their magnetic susceptibility, ferrofluids have recently gained considerable scientific attention. They find tools in different fields, such as electronics, mechanical engineering, and materials science. The inclusion of the semi-circular enclosure inscribed around a heated wavy cylinder provides innovative perspectives essential for engineering applications involving induction furnaces and cancer therapy devices. This paper aims to conduct a computational investigation into the influence of an inclined magnetic field on the free convection within a semi-circular cage stuffed with a ferrofluid featuring an internally undulating surface. It is considered that the interior wavy cylinder was warmed ( T h ) , and the outer semi-circular enclosure is cold ( T c ) . The analyzed system’s governing equations are computed using the Galerkin finite element method (GFEM). The ferrofluid’s flow pattern and thermal transport rate are investigated about relevant non-dimensional values, such as the wave numbers, the number of Hartmann ( 0 ≤ Ha ≤ 20 ) , the number of Rayleigh ( 10 3 ≤ Ra ≤ 10 6 ) , and the volume fraction ( 0.00 ≤ ϕ ≤ 0.09 ) . Evaluating the results involves examining isotherms, analyzing the distribution of flow velocities, and calculating the Nu avg , all while considering variations in fundamental physical parameters. As the Hartmann number ( Ha ) decreases and both the number of Rayleigh ( Ra ) and volume fraction ( ϕ ) rises, the Nu avg of the ferrofluid exhibits an increased. As a result of incorporating ferroparticles, the simulation identifies a maximum value of 35.86 for the Nu avg . It is worth noting that an enhance in Hartmann numbers is associated with an 80% decrease in the velocity stream function. On the other hand, an escalation in ferroparticle values leads to a 9.7% reduction, while elevated Rayleigh numbers result in a 60.8% surge in the stream function. Moreover, the irreversibility stemming from fluid friction, transfer of heat, and the magnetic field can be minimized for ferrofluid fluids ( n = 1 ), by employing the optimal parametric combination.

On oblique interaction of water waves with semi-infinite submerged elastic plate

Abstract This article relates with the interaction of water waves obliquely incident on a semi-infinite submerged elastic plate of insignificant thickness. The solution is obtained using method of mode matching. Reflection coefficients under the variation of various physical parameters: submergence depth, angle of incidence, stiffness of elastic plate and Poisson’s ratio, for two different edge conditions (i) pinned edge condition and (ii) sliding edge condition are discussed. Convergence and validation of results is also given. Behaviour of the velocity potentials around semi-infinite submerged elastic plate for different physical parameters are also analyzed. The consequences are explained through numerical and graphical results. More over energy balance relation is also discussed.

Analytical Investigation of Thermal Radiation Effects on Electroosmotic Propulsion of Electrically Conducting Ionic Nanofluid with Single-Walled Carbon Nanotube Interaction in Ciliated Channels

This study examines the behavior of single-walled carbon nanotubes (SWCNTs) suspended in a water-based ionic solution, driven by the combined mechanisms of electroosmosis and peristalsis through ciliated media. The inclusion of nanoparticles in ionic fluid expands the range of potential applications and allows for the tailoring of properties to suit specific needs. This interaction between ionic fluids and nanomaterials results in advancements in various fields, including energy storage, electronics, biomedical engineering, and environmental remediation. The analysis investigates the influence of a transverse magnetic field, thermal radiation, and mixed convection acting on the channel walls. The novel physical outcomes include enhanced propulsion efficiency due to SWCNTs, understanding the influence of thermal radiation on fluid behavior and heat exchange, elucidation of the interactions between SWCNTs and the nanofluid, and recognizing implications for microfluidics and biomedical engineering. The Poisson–Boltzmann ionic distribution is linearized using the modified Debye–Hückel approximation. By employing real-world approximations, the governing equations are simplified using long-wavelength and low-Reynolds-number approximation. Conducting sensitivity analyses or exploring the impact of higher-order corrections on the model’s predictions in recent literature might alter the results significantly. This acknowledges the complexities of the modeling process and sets the groundwork for further enhancement and investigation. The resulting nonlinear system of equations is solved through regular perturbation techniques, and graphical representations showcase the variation in significant physical parameters. This study also discusses pumping and trapping phenomena in the context of relevant parameters.