Electric Potential Distribution Research Articles

Manipulation of Heterogeneous Surface Electric Potential Promotes Osteogenesis by Strengthening RGD Peptide Binding and Cellular Mechanosensing.

The heterogeneity of extracellular matrix (ECM) topology, stiffness, and architecture is a key factor modulating cellular behavior and osteogenesis. However, the effects of heterogeneous ECM electric potential at the micro- and nanoscale on osteogenesis remain to be elucidated. Here, the heterogeneous distribution of surface potentialis established by incorporating ferroelectric BaTiO3 nanofibers (BTNF) into poly(vinylidene fluoridetrifluoroethylene) (P(VDF-TrFE)) matrix based on phase-field and first-principles simulation. By optimizing the aspect ratios of BTNF fillers, the anisotropic distribution of surface potential on BTNF/P(VDF-TrFE) nanocomposite membranes can be achieved by strong spontaneous electric polarization of BTNF fillers.Theseresults indicate that heterogeneous surface potential distribution leads to a meshwork pattern of fibronectin (FN) aggregation, which increased FN-III7-10 (FN fragment) focal flexibility and anchor points as predicted by molecular dynamics simulation. Furthermore, integrin clustering, focal adhesion formation, cell spreading, and adhesionare enhanced sequentially. Increased traction of actin fibers amplifies mechanotransduction by promoting nuclear translocation of YAP/Runx2, which enhances osteogenesis in vitro and bone regeneration in vivo. The work thus provides fundamental insights into the biological effects of surface potential heterogeneity at the micro- and nanoscale on osteogenesis, and also develops a new strategy to optimize the performance of electroactive biomaterials for tissue regenerative therapies.

Electrowetting lattice Boltzmann method for micro- and nano-droplet manipulations.

Electrowetting has become a widely used tool for manipulating tiny amounts of liquids on surfaces. This paper proposes an electrowetting lattice Boltzmann method for manipulating micro-nano droplets. The hydrodynamics with the nonideal effect is modeled by the chemical-potential multiphase model, in which the phase transition and equilibrium are directly driven by chemical potential. For electrostatics, droplets in the micro-nano scale cannot be considered as equipotential as macroscopic droplets due to the Debye screening effect. Therefore, we linearly discretize the continuous Poisson-Boltzmann equationin a Cartesian coordinate system, and the electric potential distribution is stabilized by iterative computations. The electric potential distribution of droplets at different scales suggests that the electric field can still penetrate micro-nano droplets even with the screening effect. The accuracy of the numerical method is verified by simulating the static equilibrium of the droplet under the applied voltage, and the results show the apparent contact angles agree very well with the Lippmann-Young equation. The microscopic contact angles present some obvious deviations due to the sharp decrease of electric field strength near the three-phase contact point. These are consistent with previously reported experimental and theoretical analyses. Then, the droplet migrations on different electrode structures are simulated, and the results show that droplet speed can be stabilized more quickly due to the more uniform force on the droplet in the closed symmetric electrode structure. Finally, the electrowetting multiphase model is applied to study the lateral rebound of droplets impacting on the electrically heterogeneous surface. The electrostatic force prevents the droplets from contracting on the side which is applied voltage, resulting in the lateral rebound and transport toward the side.

Investigating algebraic topological method for solving 3D Laplace equation in electrostatic boundary value problems

In this paper we investigate the adaptability of a non-conventional numerical technique called Algebraic Topological Method (ATM) for solving the Laplace equation in Electrostatic Boundary Value Problems (ESBVP). The main advantage of the ATM is that we can solve ESBVP directly in 3D domain without using complex differential or integral vector calculus tools. As a case study, we solved the problem of an ideal Parallel Disc Capacitor (PDC) using ATM by applying the Dirichlet boundary conditions at the domain boundaries. The ATM solution in the 3D domain between the disc's electrodes of PDC is presented as plots of electric potential distribution across different planes. The accuracy of scattered numerical solutions of ATM was compared with the analytical solutions for the ideal PDC. Further, the mesh convergence of ATM scattered solutions was studied by reducing the mesh size with a minimum and maximum edge length ratio as the control parameter. The ATM solution obtained from the optimum mesh size was interpolated, and the continuous electric potential distributions on various planes across the solution domain were plotted. In addition to that, the fringe field effect in a real capacitor was modeled using the ATM, and the electric potential distribution was compared with the solutions from commercial FEM software (COMSOL Multiphysics). Finally, the accuracy of ATM in case of asymmetric electrode geometries was compared with the COMSOL Multiphysics by solving the 3D Laplace equation for Semi Circular Disc Capacitor. The accuracy and solution time of the ATM for solving 3D Laplace equation in the capacitor models show that it is an efficient numerical method for solving the ESBVP.

Entropy generation on EMHD transport of couple stress fluid with slip-dependent zeta potential under electrokinetic effects

This study theoretically explores the electroosmotic and electromagnetohydrodynamic (EMHD) transport of couple stress fluid in a microchannel subjected to an applied magnetic and electric field simultaneously to predict the flow dynamics, thermal transport, and entropy generation in a thermofluidic system with slip-dependent (SD) zeta potential. Solving the linearized Poisson-Boltzmann equation gives a closed-form solution for the slip-dependent (SD) electrical potential distribution established in the Electrical Double Layer (EDL). Using suitable boundary conditions and the SD zeta potential, analytical expressions for flow velocity, temperature, and entropy generation rate are determined. There are a variety of important parameters that have been considered, including the couple stress, slip length, Hartmann number, pressure gradient, and transverse electric field. The findings for each of these parameters are graphically displayed. After accounting for the SD zeta potential for the slip parameter and Hartmann number, the fluid velocity is shown to rise; however, the normalized velocity for the couple stress parameter exhibits the reverse trend owing to its strong resistive influence. It is noticed that with a higher Brinkman number, the magnitude value of the temperature is larger for SD zeta potential than for slip-independent (SI) zeta potential owing to an increase in viscous dissipation effect. The results reveal that the flow velocity and thermal energy distribution have a substantial effect on the quantity of entropy generated in the channel under SD zeta potential.

Quasi-electrostatic three-dimensional charge model for contact-separation triboelectric nanogenerator

Triboelectric nanogenerators (TENGs) are at the forefront of energy harvesting and self-powered sensors, while further improvements in TENGs’ development and utilization essentially depend on the theoretical models. To understand the intrinsic mechanism of TENGs, a formal physical framework of TENGs was introduced based on Maxwell’s equations. Triboelectric charges would be produced on the dielectric layer surface after contact triboelectrification. As concerned about any transient, the electric field originating from the arbitrary fixed position over the finite charged plane would not change, constituting the electrostatic field. Since TENGs maintain low-frequency movement, they enter a quasi-electrostatic state. Under this state, the electric field would change along with the distance from the charged plane. Herein, a quasi-electrostatic three-dimensional (QETD) charge model was constructed to refine the theoretical modeling of TENGs. Finite element modeling (FEM) simulations were first provided to reveal the distribution of polarization vector (Pz), electric potential (φ), electric field (Ez) and electric displacement (Dz). Furthermore, an optimized theoretical framework for contact-separation TENGs was established, and it was validated by different driving and structural variables. Besides, the intrinsic displacement current of TENGs was linked with the conduction current to deduce the output capability. Compared with previous works, this QETD model shows the most consistent trend with experimental results, providing accurate predicts for distinct TENGs’ performance.

Optimal design of electrodes for functional electrical stimulation applications to single layer isotropic tissues

PurposeThe purpose of this paper is to investigate the design of skin surface electrodes for functional electrical stimulation using an isotropic single layered model of the skin and underlying tissue. A concentric ring electrode geometry was analysed and compared with a conventional configuration, specifically to localise and maximise the activation at depth and minimise the peak current density at the skin surface.Design/methodology/approachThe mathematical formulation determines the spatial electric potential distribution in the tissue, using the solution to the Laplace equation in the lower half space subject to boundary conditions given by the complete electrode model and appropriate asymptotic decay. Hence, it is shown that the electric potential satisfies a weakly singular Fredholm integral equation of the second kind which is then solved numerically in MATLAB for a novel concentric ring electrode configuration and the conventional two disk side-by-side electrode configuration.FindingsIn both models, the electrode geometry can be optimised to obtain a higher activation and lower maximum current density. The concentric ring electrode configuration, however, provides improved performance over the traditional two disk side-by-side electrode configuration.Research limitations/implicationsIn this study, only a single layer of medium was investigated. A comparison with multilayer tissue models and in vivo validation of numerical simulations are required.Originality/valueThe developed mathematical approaches and simulations revealed the parameters that influence nerve activation and facilitated the theoretical comparison of the two electrode configurations. The concentric ring configuration potentially may have significant clinical advantages.

Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions

Exploring electric potential distributions in carbon fiber reinforced polymer composites (CFRPs) is important in electrical-based structural health monitoring for in situ damage detection. Here we investigate influences of current injection angles, electrode locations, and current injection pairs on the electric potential distributions in 3D carbon fiber/epoxy angle-interlock woven (AIW) composites. We have conducted different types of electric potential measurements and established a linear anisotropic conductivity model to reveal the electric potential distributions. It was found that the curved warp yarns form many contacts and increase the conduction path, leading to lower electric conductivity and flatter potential field than those of the weft yarn with straight alignment. The orientation and value of surface electric potential field change depend on current flow direction caused by current injection mode (CIM) and conduction mechanism due to yarn arrangement. Oblique current directed at an angle of 45° is more sensitive in indicating interior damage than that of current parallel to the yarn direction. It is recommended that the oblique current injection should be used to provide effective damage sensing for CFRPs with complex structures.

Characteristics of atmospheric pressure Ar-plasma around a spherical particle: Numerical study

The characteristics of atmospheric pressure Ar-plasma such as the spatial distributions of number densities, fluxes, and temperatures of electrons and heavy plasma particles, as well as the spatial distribution of electric potential around an individual spherical particle, were studied numerically on the basis of the hydrodynamic (diffusion) equations for plasma components. The governing equations were formulated for plasma that is not in thermal and ionization equilibrium. The boundary conditions near the particle were set on the edge of the space charge layer (sheath) adjacent to the particle surface. The nonlinear problem was solved taking into account the temperature dependencies of transport and kinetic coefficients. The heat flux introduced by the plasma into the particle was calculated and compared with the results of the simple heat conduction model. The range 10 − 5 – 10 − 4 m of particle radius and the range 6–18 kK of unperturbed plasma temperature were considered.

Research and Experiment Verification of the Shielding Effect of a 1000 kV Equipotential Shielding Capacitor Voltage Transformer in Consideration of Surface Leakage Current

The non-uniform distribution of the surface contamination on insulation bushings of a traditional capacitor voltage transformer (Tra-CVT) will impact the electric potential distribution along the axis of the capacitor voltage divider (CVD), and causes variation of voltage dividing ratio of the CVT. An increased phase angel difference between primary and secondary voltage will be another consequence. The equipotential shielding CVT (EPS-CVT), with its unique double layer structure, is able to significantly reduce the additional measurement error (AME) caused by surface leakage current (SLC) flowing on the bushing surface. In this work the AME caused by SLC for both types of CVTs are evaluated by an implementation of newly developed equivalent simulation circuit models of both CVTs accounting SLC. A shielding effect evaluation test method is proposed and successfully demonstrated on an UHV EPS-CVT prototype to verify the effectiveness of the AME shielding function of an EPS-CVT.

A Study on Electric Potential and Electric Field Distribution for Optimal Design of Lightning Rod Using Finite Element Method

In this paper, we present an electric field analysis for the optimal structural design of lightning rods for high performance with a charge transfer system (CTS). In the case of a conventional rod that is produced with an empirical design and structure without quantitative data because the design is structurally very simple, only the materials and radius of curvature of the lightning rod to concentrate the electric field at the tip part of the rod are considered. Recently, the development of new types of lightning rods, such as early streamer emission (ESE) and charge transfer system (CTS), has been introduced through simulation analysis and experiments, but detailed specifications and information about the optimal design and structure have not been fully reported. In this paper, we performed an electric field analysis of the structures and materials for the optimal structural design of lightning rods with a function of CTS through computer software analysis with consideration for the radius of curvature, the size of corona ring, and optimal position (X-axis and Y-axis) of the floating electrode. For optimal structural design of lightning rods based on electric field analysis, we used a source of lightning voltage with 1.2/50 µs based on a double exponential equation. The results revealed that the electric field on the relaxation part decreases as the radius of curvature and corona ring increases. For the radius of curvature, the electric field first decreases and then increases with increasing radius of curvature and reaches a minimum at 7 mm and a maximum above 8 mm. For the case of the corona ring, the electric field decreases with increasing corona ring, and the optimal size of the corona ring was selected as 4 mm; the size of the 4 mm corona ring uniformly formed the electric field both at the tip part of the ground current collector and the corona ring. For the electric field concentration part, we found that the optimal X-axis position of the floating electrode and the Y-axis position between the ionizer conductor and floating electrode are 7 mm and 0.1 mm, respectively. These simulation results in this paper are expected to provide useful information for the design of optimized CTS-type lightning rods.

Advances in galvanic corrosion of aluminum alloys

Two lightweight materials were evaluated: a wrought aluminum alloy (AA1) and a cast aluminum alloy (AA2), always coupled to a low-carbon steel (CS). Both the electric potential and pH distributions, of two bare systems (CS-AA1 and CS-AA2) subjected to full immersion conditions in 0.06 M NaCl, are discussed in detail from the experimental and numerical point of views. In conjunction with a miniaturized electrochemical cell and a LAQUAtwin® sensor that allows pH measurements of viscous liquids, solids, and even powder samples, agar hydrogels were used to gather new transient information used to validate a tertiary current distribution model, which was solved by using the finite element method (FEM). The numerical predictions perfectly match with the experimental distributions. The two experimental methodologies exhibit excellent performance for studying galvanic corrosion phenomena, providing reliable and precise results.

Low-dose measurement of electric potential distribution in organic light-emitting diode by phase-shifting electron holography with 3D tensor decomposition.

To improve the performance of organic light-emitting diodes (OLEDs), it is essential to understand and control the electric potential in the organic semiconductor layers. Electron holography (EH) is a powerful technique for visualizing the potential distribution with a transmission electron microscope. However, it has a serious issue that high-energy electrons may damage the organic layers, meaning that a low-dose EH is required. Here, we used a machine learning technique, three-dimensional (3D) tensor decomposition, to denoise electron interference patterns (holograms) of bilayer OLEDs composed of N,N'-di-[(1-naphthyl)-N,N'-diphenyl]-(1,1'-biphenyl)-4,4'-diamine (α-NPD) and tris-(8-hydroxyquinoline)aluminum (Alq3), acquired under a low-dose rate of 130 e- nm-2 s-1. The effect of denoising on the phase images reconstructed from the holograms was evaluated in terms of both the phase measurement error and the peak signal-to-noise ratio. We achieved a precision equivalent to that of a conventional measurement that had an exposure time 60 times longer. The electric field within the Alq3 layer decreased as the cumulative dose increased, which indicates that the Alq3 layer was degraded by the electron irradiation. On the basis of the degradation of the electric field, we concluded that the tolerance dose without damaging the OLED sample is about 1.7 × 105 e- nm-2, which is about 0.6 times that of the conventional EH. The combination of EH and 3D tensor decomposition denoising is capable of making a time series measurement of an OLED sample without any effect from the electron irradiation.

Design and Simulated Electrical Properties of a Proposed Implanted-Epi Silicon 3D-Spherical Electrode Detector

A new type of 3D electrode detector, named here as the Implanted-Epi Silicon 3D-Spherical Electrode Detector, is proposed in this work. Epitaxial and ion implantation processes can be used in this new detector, allowing bowl-shaped electrodes to penetrate the silicon completely. The distance between the bowl cathode and the central collection electrode is basically the same, thus the total depletion voltage of Implanted-Epi Silicon 3D-Spherical Electrode Detectors is no longer directively correlated with the thickness of the silicon wafer, but only related to the electrode spacing. In this work, we model the device physics of this new structure and use a simulation program to conduct a systematic 3D simulation of its electrical characteristics, including electric potential and electric field distributions, electron concentration profile, leakage current, and capacitance, and compare it to the traditional 3D detectors. The theoretical and simulation study found that the internal electric potential of the new detector was smooth and no potential saddle point was found. The electric field is also uniform, and there is no zero field and a low electric field area. Compared with the traditional silicon 3D electrode detectors, the full depletion voltage is greatly reduced and the charge collection efficiency is improved. As a large electrode spacing (up to 500 μm) can be realized in the Implanted-Epi Silicon 3D-Spherical Electrode Detector thanks to their advantage of a greatly reduced full depletion voltage, detectors with large pixel cells (and thus small dead volume) can be developed for applications in photon science (X-ray, among others).

Electric field and potential distribution in layered homogeneous borehole fluids and its logging responses of resistivity logging through casing

The resistivity logging through casing is an important logging instrument to carry out formation evaluation in the production wells. The transmission line equation (TLE) is a useful tool to solve the huge resistivity differences between metal casing and formation. Except for the casing, borehole fluids (e.g., mud, water, oil and gas) still could affect the logging responses of the resistivity logging through casing, which has not been studied well. Furthermore, the conventional TLE cannot be applied to investigate the current and potential distributions in borehole fluids. A suitable algorithm needs to be studied to calculate the influences of borehole fluids on logging responses. In this paper, we propose a modified TLE, which includes the formation information outside the casing and borehole fluids. Then, the analytical solution of the potential distribution on casing wall is derived using the modified TLE. For the infinite casing case, the current and potential distributions in borehole fluids are further derived based on the calculated potential distributions on casing wall and characteristic of the axial symmetry. In addition, the logging responses of resistivity logging through casing are calculated and compared. Through the numerical modeling, a new phenomenon is discovered that the voltage is low at the regions where casing contact with electrode and different borehole fluids. A microscopic qualitative explanation is given using the ion damping oscillation model of a reflective cavity to explain the existence of these low voltage regions. Furthermore, the contacts of borehole fluids are observed on the logging responses of resistivity through casing.

Electric Potential Distribution Inside the Electrolyte during High Voltage Electrolysis

Applying an external potential difference between two electrodes leads to a voltage drop in an ion conducting electrolyte. This drop is particularly large in poorly conducting electrolytes and for high currents. Measuring the electrolyte potential is relevant in electrochemistry, e.g., bipolar electrochemistry, ohmic microscopy, or contact glow discharge electrolysis. Here, we study the course of the electrolyte potential during high voltage electrolysis in an electrolysis cell using two reversible hydrogen electrodes as reference electrodes, placed at different positions in the electrolyte. The electrolysis is performed with a Pt working and stainless steel counter electrode in a KOH solution. A computational COMSOL model is devised which supports the experimentally obtained potential distribution. The influence of the cell geometry on the electrolyte potentials is evaluated. Applying the knowledge of the potential distribution to the formation of a Au oxide surface structure produced during high voltage electrolysis, we find that the amount of oxide formed is related to the current rather than the applied voltage.

3D Thermo-fluid MHD simulation in a complex flow geometry

In the Magneto-hydrodynamic (MHD) flow, electric current induces inside the fluid domain due to induced e. m. f when an electrically conducting fluid flows in presence of transverse magnetic field. In the present work, the 3D thermo-fluid MHD analysis has been performed for the flow geometry, which is to be tested in the liquid lead lithium MHD (LLMHD) loop. The chosen flow geometry consists of inlet/outlet circular pipes, manifolds and three rectangular channels with parallel flow configurations. Here, three rectangular channels are coupled at the inlet/outlet manifold. Sudden expansion and contraction occur at the inlet and outlet manifold respectively. The 3D thermo-fluid MHD analysis result at magnetic field of 1.4T and flow rate of 3 kg/s have been discussed. The numerical MHD results of induced electric potential, electric current, pressure, temperature and flow distributions are discussed in detail. The inlet/outlet circular pipes and manifolds are found to be the main contributors of the total pressure drop. The qualitative discussion has also been made on the impact of magnetic field on flow distribution among the flow channels with parallel flow configurations.

Static and Dynamic Analysis of Linear Piezoelectric Structures Using Higher Order Shear Deformation Theories

This paper explores the effects of shear deformation on piezoelectric materials and structures that often serve as substrate layers of multilayer composite sensors and actuators. Based on higher-order shear elastic deformation and electric potential distribution theories, a general mathematical model is derived. Governing equations and the associated boundary conditions for a piezoelectric beam are developed using a generalized Hamilton’s principle. The static and dynamic behavior of the piezoelectric structure is investigated. A bending problem in static analysis and a free vibration problem in dynamic analysis are solved. The obtained results are in very good agreement with the results of the exact two dimensional solution available in the literature.

An Ultrathin Asymmetric Solid Polymer Electrolyte with Intensified Ion Transport Regulated by Biomimetic Channels Enabling Wide‐Temperature High‐Voltage Lithium‐Metal Battery

AbstractSolid electrolytes that can be made compatible with high‐voltage cathodes are greatly desired to increase the energy density of solid lithium metal batteries (SLMBs). However, no monophase polymer or ceramic examples can simultaneously exhibit strong electrochemical stability and reasonable lithium compatibility due to their limited internal energy gap. Herein, a novel asymmetric solid polymer electrolyte (AMSE) with tailored Li+ transport mechanisms is proposed. It is composed of a high‐voltage layer (HVL, polyacrylonitrile/ionic liquid [IL]) and lithium‐compatible layer (LCL, poly(vinylidene fluoride‐co‐hexafluoropropylene)/UiO‐66‐SO3Li). The HVL exhibits a vehicular Li+ transport mechanism with the introduction of IL, which achieves exceptional‐electrochemical stability and reduced interfacial resistance. Due to the complexation between anions and UiO‐66‐SO3Li, a structural diffusion mechanism is achieved in LCL, realizing a quasi‐single‐ion migration in biomimetic ionic channels. The as‐proposed asymmetric configuration, combined with the transport mechanisms, leads to a gradient distribution of electric potential and Li+ in the electrolyte, thus realizing a stable Li+ flux, which is proved by COMSOL‐Multiphysics. The AMSE‐based SLMBs and scale‐up pouch cells show remarkable cycling stability at 4.3 V from room temperature (Li/LiNi0.8Mn0.1Co0.1O2, 3.27 mAh cm−2) to 100 °C. The strategy of facilitating the transport mechanism is expected to provide new pathways for designing next‐generation SLMBs with high energy density.

Numerical Investigation on Thermal and Electrical Stress in Electric Vehicle Cabling Network

Global warming and an impending energy problem have compelled nations to become greener and cleaner. Worldwide, interest in electric vehicles (EVs) is growing as a result of rising gasoline prices and environmental concerns. The need for electrical components and cabling networks is expanding along with the demand for electrified vehicles. The complexity of vehicle electrical, electronics, and control circuits is also rising. There are many wire and cable performance issues in modern e-mobility, including limited space, vibration, high-temperature variation, unfriendly fluids, and rising data transmission requirements. Thus, it is important to study and evaluate the thermal and electrical stresses in the electric vehicles cabling network to avoid insulation failure, which causes fire accidents in the electric components of EVs. An EV's entire electrical system gets hotter, and insulation strength is affected by both temperature and the electrical field. The insulation system is one of the most important components in any electrified vehicle. From a design and protection perspective, the computation of electric potential distribution and electric field within and around the cables of electric vehicles is very important. The strong non-linear dependency of the electrical conductivity of the insulation material on prevailing electrical stress and temperature makes the field problem not only coupled but also non-linear. Finite Difference Numerical (FDM) is used for non-linear field computation. In this paper, different electric vehicle cabling network layouts were studied and listed the challenges. Chosen the high voltage cables of electric vehicles from the cabling network and numerically computed the conductivity, temperature, and electrical fields of cable.

Mathematical problems of dynamical interaction of fluids and multiferroic solids

In the paper, we consider a three-dimensional mathematical problem of fluid-solid dynamical interaction, when an anisotropic elastic body occupying a bounded region is immersed in an inviscid fluid occupying an unbounded domain . In the solid region, we consider the generalized Green–Lindsay's model of the thermo-electro-magneto-elasticity theory. In this case, in the domain we have a six-dimensional thermo-electro-magneto-elastic field (the displacement vector with three components, electric potential, magnetic potential, and temperature distribution function), while we have a scalar acoustic pressure field in the unbounded domain . The physical kinematic and dynamical relations are described mathematically by the appropriate initial and boundary-transmission conditions. Using the Laplace transform, the dynamical interaction problem is reduced to the corresponding boundary-transmission problem for elliptic pseudo-oscillation equations containing a complex parameter τ. We derive the appropriate norm estimates with respect to the complex parameter τ and construct the solution of the original dynamical problem by the inverse Laplace transform. As a result, we prove the uniqueness, existence, and regularity theorems for the dynamical interaction problem. Actually, the present investigation is a continuation of the paper [Chkadua G, Natroshvili D. Mathematical aspects of fluid-multiferroic solid interaction problems. Math Meth Appl Sci. 2021;44(12):9727–9745], where the fluid-solid interaction problems for elliptic pseudo-oscillation equations associated with the above mentioned generalized thermo-electro-magneto-elasticity theory are studied by the potential method and the theory of pseudodifferential equations.