bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of CO2 decomposition in water-cooling DBD plasma reactor
Authors: He Lin , Yue Xiaofeng , Liu Xiaoping , Wu Zhengwei 
Published: December 2024

Abstract
Low-temperature plasma is recognized as a CO2 decomposition technology with substantial sustainable potential. Enhancing energy efficiency remains a critical challenge for plasma technology to achieve broader industrial adoption. This study developed two water electrode reactors—one with a stationary water electrode and the other with a flowing water electrode—designed to enhance energy efficiency in the CO2 decomposition process. A systematic performance comparison was subsequently made with a conventional aluminum mesh electrode reactor. The findings revealed that water electrode reactors significantly enhanced both heat transfer efficiency and power factor, thereby improving CO2 conversion performance. The stationary water reactor achieved a peak energy efficiency of 20.64%. The effects of input power, feed flow rate, and N2 content on dielectric barrier discharge plasma performance under high flow rate conditions were also explored in this study. The results indicated that as the input power increased, discharge intensity in all three reactors were intensified, leading to higher CO2 conversion. However, a portion of the energy was dissipated as heat, which gradually diminished overall energy efficiency. When the feed flow rate increased from 150 sccm to 600 sccm, the shorter residence time resulted in decreased CO2 conversion, while overall energy efficiency improved significantly. Increasing the N2 content caused an exponential rise in CO2 conversion, while the effective conversion rate and energy efficiency did not improve accordingly. Compared to previous studies, this research demonstrates a clear advantage in energy efficiency, offering useful insights for the industrial application of plasma technology in CO2 decomposition.
Stay cable tension estimation using a vision-based monitoring system under complex environments
Authors: Wang Lusheng , Gao Xin , Zhao Chen , Lan Chunguang 
Published: December 2024

Abstract
Cables are the primary load-bearing component of cable-stayed bridges, the accurate monitoring of cable tension is essential for evaluating cable service reliability and bridge safety. Addressing the challenges faced by existing vision monitoring technologies in complex environments, such as limited camera resolution, low-light conditions, adverse weather and camera vibration, a non-contact vision-based monitoring system based on computer vision technology has been developed and applied to cable tension monitoring in cable-stayed bridges. The monitoring system addresses the challenges under low-light and adverse weather by utilizing an industrial camera equipped with an infrared filter and an infrared light source. A sub-pixel template matching algorithm is employed to enhance measurement accuracy under limited resolution. Furthermore, a camera vibration cancellation algorithm is introduced to mitigate the impact of external vibrations, significantly improving measurement stability. Both model experiments and field test were conducted to validate the monitoring system. Results from the model experiments demonstrate high measurement accuracy and stability under limited resolution, low-light, and adverse weather, with a maximum frequency recognition error of only 0.4%. The field test further demonstrates a significant improvement in measurement accuracy through the camera vibration cancellation method, achieving a cable tension error of only 0.86% compared to the design tension. These results highlight the system’s potential for reliable cable tension monitoring in complex environments.
Comparative analysis of real-time PPP time transfer performance of BDS-3 based on SSR/PPP-B2b corrections
Authors: Chen Shi , Liu Ya , Li Xiaohui , Zhang Huijun , Qin Weijin , Fan Duosheng , Zhao Zhixiong 
Published: December 2024

Abstract
The BeiDou Navigation Satellite System (BDS) precise point positioning (PPP) service, PPP-B2b, is broadcasted by BDS-3 geostationary earth orbit (GEO) satellites, which provides high-precision positioning and timing services to users in China and neighboring regions. This paper presents an analysis of real-time PPP time transfer experiments utilizing PPP-B2b corrections from BDS-3 satellites and compares the results with real-time time transfer performance based on the state space representation (SSR) corrections broadcast by the International Global Navigation Satellite System Service Data Center of Wuhan University. PPP-B2b/SSR corrections were applied to the broadcast ephemeris to derive precise satellite positions and clock biases. The BDS-3 B1I + B3I and B1C + B2a combinations were analyzed under short baseline conditions using real-time PPP processing software. The results demonstrated that the standard deviation (STD) of real-time PPP time transfer for the B1C + B2a dual-frequency combination of BDS-3 using PPP-B2b/SSR corrections were consistently below 0.2 ns, while the STD for the B1I + B3I dual-frequency combination remained under 0.3 ns. The 10 000 s Allan Deviations for all combinations were better than 1.322 × 10−14. The findings confirmed that the PPP-B2b of BDS-3 is capable of achieving sub-nanosecond time transfer, comparable to SSR-based methods. PPP-B2b is more accessible and offers a broader range of applications compared to SSR, making it suitable for long-term, reliable real-time time transfer operations in network-restricted environments.
Electroisomerization blinking of an azobenzene derivative molecule
Authors: Godey Sylvie , Therssen Hugo , Guérin David , Mélin Thierry , Lenfant Stéphane 
Published: December 2024

Abstract
We report here the reversibility and bistability of the switching behavior in an azobenzene derivative induced by the bias applied by a scanning-tunneling microscopy (STM) tip, at low temperature and in ultra-high vacuum environment. This cis-to-trans and trans-to-cis switching were observed during STM imaging in either polarity at +2 V or −2 V, on a sub-second time scale. This results in a blinking effect visible on STM images, corresponding to the reversible switching of the azobenzene molecule under the applied STM bias through an electric field induced process.
Impact of Flat-Surfaced Pins on Material Flow and Particle Distribution in Friction Stir Processing: A CEL Method Analysis
Authors: Akbari Mostafa , Asadi Parviz , Abdollahzadeh Amin , Esfandiar Milad , Moghanian Amirhossein 
Published: December 2024

Abstract
This study investigates the impact of Flat-Surfaced Pin geometry on temperature, strain, particle distribution, and material flow during Friction Stir Processing (FSP) using a Coupled Eulerian-Lagrangian (CEL) formulation. Various models incorporating different pin shapes—cylindrical, square, and hexagonal—were developed for this purpose. To investigate material flow during the FSP, Tracer particles were employed as a methodological tool. A comparison between experimental and numerical results concerning the distribution of reinforcing particles in the base metal reveals a strong correlation, highlighting the model's effectiveness in accurately predicting material flow patterns. The findings indicate that the circular tool was less effective in achieving a uniform distribution of particles, with a significant accumulation observed on the retreating side. In contrast, both square and hexagonal tools demonstrated improved performance regarding particle distribution. Quantitative measurements show that the areas occupied by the reinforcing particles are 14.3 mm² for the circular pin, 34.4 mm² for the square pin, and 37.9 mm² for the hexagonal pin. This variation can be attributed to the design of the pin profiles, as the flat surfaces facilitate a pulsating effect that enhances material flow. Moreover, in samples processed with square and hexagonal pins, particles located near the upper surface of the plate tend to rotate with the pin, subsequently stretching toward the advancing side. Finally, the square and hexagonal tools exhibited higher average hardness values of 68.88 HV and 66.84 HV, respectively, compared to the circular tool, which yielded an average hardness of 57.17 HV.
Global Analysis of a Monkeypox Virus Model Considering Government Interventions
Authors: Gümüş Mehmet , Türk Kemal 
Published: December 2024

Abstract
Monkeypox is an infectious disease that threatens human life. The recent spread of the virus has increased global health concerns and risks. In this paper, an innovative mathematical modeling approach is presented to investigate the transmission dynamics of monkeypox virus. The mathematical model is constructed considering the spread of the virus in both human and rodent populations. It also provides a more realistic approach by including a saturated incidence rate. The model is usable by including potential interventions that governments can adopt. The local and global asymptotic stability of the equilibrium points with the basic reproduction number $\mathfrak{R}_0$ is examined. In addition, a bifurcation analysis is conducted to reveal significant changes in the dynamics of the model. Sensitivity analysis is given to evaluate the effects of potential measures that can be taken to eliminate the disease. Finally, the obtained theoretical results are supported by numerical simulations.
Statistical and sensitivity analysis of MHD Casson Nanofluid with convective boundary conditions on a stretching surface
Authors: Deebani Wejdan , RAZA JAWAD , Lund Liaquat Ali , Shah Zahir , Shutaywi Meshal 
Published: December 2024

Abstract
The purpose of this paper is to analyze the optimization of MHD Casson Nanofluid with convective boundary conditions over a stretching sheet by Response Surface Methodology. The governing equations transformed into the system of nonlinear ODEs (Ordinary differential equations) using similarity transformation and then solved by 3-stage Lobatto IIIA in Matlab routine bvp4c. The response of different physical parameters on the skin friction, reduced Nusselt number, reduced Sherwood number, velocity profile, temperature profile and nanoparticle concentration profile are examined through graphs. The enhancement in the values of stretching parameter, Casson parameter caused the decrement in temperature profile and Conversely, for increment in magnetic parameter, radiation parameter, local Eckert number, thermophoresis and Brownian motion parameters. The maximum value of skin friction occurred for increased value of stretching parameter. The value of response function (reduced Nusselt number) decreased at the values of local Eckert number, thermophoresis and Brownian motion parameters increased and decrement in radiation parameter. Skin friction show negative sensitivity towards Casson parameter and positive sensitivity towards magnetic parameter and stretching parameter.&#xD;
Nanocrack in MoS2 manipulated by T-stress in modified boundary layer model
Authors: Yang Xing , Zhang Bin 
Published: December 2024

Abstract
MoS2 is expected to replace silicon-based field-effect transistors and continue Moore’s law. However, thin-film MoS2 transistors on flexible substrates are prone to nanocracking under bending conditions. Although classical fracture mechanics provides a broad understandings of its crack tip field, how the higher-order T-stress term influences the nanofracture remains to be investigated. Using molecular dynamic simulations and modified boundary layer models, we show that T-stress regulates the nonlinear stress, plastic zones, and distortion around the crack tip, thereby changes fracture toughness and cracking direction. Under mode I loading, fracture toughness increases monotonically with rising T-stress. With the introduction of mode II loading (K
II), the interplay between T-stress and K
II can decrease fracture toughness as T-stress exceeds a critical value. Furthermore, negative T-stress tends to impedes crack deflection, whereas positive T-stress tends to promote it. However, owing to the local anisotropy in MoS2 lattices, crack deflection always occurs in the discrete zigzag lattice orientations. Our study might provide new insights into the fracture of MoS2 transistors under complex loads.
Experimental Investigation on Effects of Thermal And Physical Properties of Biodegradable Hybrid Nanofluid Using Two Step Method.
Authors: Dattatraya Popat Kshirsagar , Venkatesh M A 
Published: December 2024

Abstract
The hybrid nanoparticle was most crucial material used in the green technology and biodegradable oils may emerging as substitute for mineral oil as base oils because to their high thermal conductivity, viscosity, density and physical properties. In work carried out the examination of nanofluids the creation and evaluation of hybrid nanofluids that are biodegradable, together with the basic fusing material. Using the SiC and TiO2 as a Nanoparticle with base fluid as a bio oil, surfactant used as Sodium Dodecyl Sulfate (SDS) to maintain the stability of fluids. It was made using palm oil in both individual and hybrid modes (Hybrid combination such as Palm oil + SiC+TiO2, nanoparticle (1%, 2%, 3% Vol), Base fluid and Palm oil + Sic, and Palm oil and TiO2, nanoparticle (1%, 2%, 3% Vol). The results shows that biodegradable Hybrid nano fluids is better than the pure nanofluids. The zeta potential results shows that the highest stability was observed that biodegradable Hybrid nanofluids is 70%. (Palm Oil + SiC +TiO2) 3% vol. The findings indicate that using industrial applications, bio oil-based hybrid nanofluids can have their thermal characteristics increased.
Effect of rotation on the onset of convection in magnetic nanofluids containing gyrotactic microorganisms
Authors: Arora Monika , Danesh Mustafa , Kumar Sharma Mahesh 
Published: December 2024

Abstract
The focus of this work is on employing linear stability analysis to investigate the initiation of the bioconvection (Bconvec
) phenomenon in the presence of rotational influence. In this study, we examine a water based magnetic nanofluids (Wb-MgNf
) that contains gyrotactic microorganisms, taking into account the influence of gravity. The motion of the microorganisms is considered to be motile and of small size, rendering the inertial effects negligible. The employed model incorporates the combined impact of two slip mechanisms, namely Brownian motion and thermophoresis, as suggested by J. Buongiorno in his article ”Convective transport in nanofluids” in addition to magnetophoresis. To solve the resulting eigenvalue problem, a numerical method utilizing MATLAB’s EIG function is utilized. The critical Rayleigh number Rac
is determined through neutral stability curves (NsCurves
) to analyze the system, considering the governing parameters. The Taylor number Ta
is employed to investigate the influence of rotation, revealing that it stabilizes the system. The onset of convection is advanced by the parameters nanoparticle concentration Rayleigh number Rn and bioconvection Lewis number Lb.
Influence of Thermal Wall and Velocity Slips on Non-Darcy MHD Boundary Layer Flow of a Nanofluid over a Non-linear Stretching Sheet
Authors: Bansal Sham , Kumar Ashok , Pal Jai , Goyal Ishu , Singh Negi Anup 
Published: December 2024

Abstract
This study investigates the characteristics of magnetohydrodynamic nanofluid flowing via a non-linearly stretched surface within a porous media along with thermal and velocity slips. The similarity transformation is implemented to derive non-dimensional ordinary differential equations from partial differential equations. The finite difference Keller box implicit method yields the numerical solutions. Notably, our findings reveal the intricate influence of several factors, such as velocity slip factor, permeability parameter, thermophoresis parameter, thermal slip factor, Brownian parameter, magnetic parameter and stretching factor on temperature, concentration and velocity, also unveiling nuanced insights into the enhancement of mass and heat transfer attributes. The finding shows that the concentration and temperature of the nanofluid are enhanced and reduced respectively on increasing the thermal slip factor. Further, both mass and heat transfer rates decrease with increasing thermal slip, while the influence of skin friction coefficient is negligible. Further, Both concentration as well as temperature increase on enhancing velocity slip parameter, but opposite behaviour has been observed for the velocity profile. Further, for the higher value of velocity slip, the skin friction coefficient and the rate of heat transfer are increased. While, the mass transfer rate decreases. Furthermore, As the permeability increases, temperature and velocity profiles both indicate an upward trend, which is an acceptable result because more permeability propels more flow and low permeability induces weak flow in the system. The achieved results are depicted graphically.
Parametric Properties of New F-Divergence Measure
Authors: Naresh Saraswat Ram , Sharma Anulika , Agarwal Vandana 
Published: December 2024

Abstract
F-divergences are a class of functions that quantify the difference between two probability distributions. They are widely used in statistics, machine learning, and information theory. New F-divergences typically refer to variations or extensions of existing F-divergences, introducing additional parameters to customize their behavior or properties. The parametric properties of a new F-divergence measure would depend on the specific form of the divergence and the parameters introduced. In this paper, discussed the parametric properties of new f-divergence functional. This measure is also known as Jain and Saraswat measure which is established in 2012 and 2013. The applications of this measure in the form of series using the properties of convexity have been established.
Active vibration control of an induction motor with sleeve bearings and electrodynamic actuators between motor feet and steel frame foundation regarding electromagnetic excitation
Authors: Werner U 
Published: December 2024

Abstract
The paper presents a theoretical analysis of active vibration control of an induction motor with sleeve bearings and electrodynamic actuators between motor feet and steel frame foundation, where the vertical vibration velocities of the motor feet are lead back to separate controllers. Based on a 2D model, the mathematical coherences of the controlled vibration system are presented, as well as a numerical example of a 2-pole induction motor. The threshold of vibration stability is calculated as well as frequency responses regarding bearing housing vibrations caused by electromagnetic forces in the air gap of the induction motor, due to a static magnetic eccentricity between rotor and stator. Also the actuator forces are analyzed. With this analysis, the effectiveness of the developed active vibration control system can be demonstrated.
ANSYS Modelling of Piezoelectric Smart Beam using Ritz Vector Method and Sub-structuring Analysis
Authors: Jackson Abasiodiong , Fletcher Simon , Ariaga Nemwel 
Published: December 2024

Abstract
Finite element analysis (FEA) is an important tool for smart structure modelling, particularly in the context of piezoelectric beams. A key challenge in such modelling is the derivation of electro-elastic coupling, which explains how these structures respond mechanically to electrical loading. Traditional methods rely on intricate shape functions that encompass both electrical and mechanical degrees of freedom, rendering the process complex.
In this study, an innovative approach—the so-called Ritz vector method— which facilitates modelling of the system based on loading effect is implemented to simplify electro-elastic coupling calculations. The method previously applied in MSC Nastran with a thermal analogy system and validated experimentally is now implemented in the widely accessible ANSYS software. By harnessing ANSYS’ robust piezoelectric capabilities and sub-structuring analysis for matrix extraction, the essential piezoelectric coupling and dielectric matrices are derived for piezoelectric stack and patch actuator driven cantilevered beams.
Subsequently, state space models of these smart structures are constructed using MATLAB and results are compared with ANSYS FEA static and dynamic response. Active Disturbance Rejection Control (ADRC) was implemented on the modelled beams and results show significant suppression of free vibration due to impulse excitation of the tip. This work portrays the potential of the Ritz vector method, a powerful yet underexplored tool that simplifies electro-elastic coupling calculations for piezoelectric smart structures.
Passive reduction of reflected surface acoustic waves
Authors: Schoenebeck D , Vanko G , Kromka A , Dohnal F 
Published: December 2024

Abstract
Lab-on-a-chip devices have been widely developed but are still considered as an emerging technology for medical and environmental field monitoring. In addition to a miniaturized sensor, a microfluidic lab-on-a-chip (LOC) needs an actuator in the same size scale. One promising actuation concept is the acoustic streaming realized by surface acoustic wave (SAW). The generated waves are confined at the substrate surface which leads to out-of-plane movements with high directional accelerations. Once the energy is coupled into a fluid, a streaming effect is initiated. However, reflections at the substrate edges can significantly impede the occurrence of SAW. To prevent reflections, damping structures need to be put in place. Nonlinear tapered ends are a prospective reflection mitigation technique in the field of structural dynamics. In this study, we report the computational investigation of tapered ends for reducing the edge reflections in micromechanical SAW devices. Test cells for finite element analysis via COMSOL Multiphysics® were extended to virtual prototypes of physically realistic SAW devices. The results showed that the implementation of tapered ends significantly reduced parasitic reflections and increased the articulation of surface displacements by at least two orders of magnitude. These findings demonstrate the effectiveness of incorporating tapered ends into finite substrate models for SAW devices.
Simulated bubble oscillations in gearboxes for electrified vehicles
Authors: Hafner Lukas , Holzbrecher Jonas , Wiedenmann Matthias , Hieronymus Timm , Schwarzer Steffen , Dohnal Fadi 
Published: December 2024

Abstract
The shift in drive concepts from internal combustion engines to electrified vehicles is changing the demands on drive machines and their associated subsystems. A well-known phenomenon in oil-lubricated transmissions is the unavoidable mixing of air with the oil during operation. The so-called oil-air-dispersion that occurs can be measured on the basis of the air bubble size and air bubble size distribution in the oil in a dispersion spectrum that occurs depends on geometry, speed and torque. Due to the increase in speed by several orders of magnitude in electrified vehicles, the speed- and torque-based vibration excitation of the transmission changes both in the excitation frequencies and in the excitation amplitudes. This brings physical effects into focus that previously played no role in drive technology. One of these physical effects is vibration-induced cavitation, which generates high pressures and temperatures and has negative effects on both the oils used and the mechanical components. The vibration behavior of air bubbles in oil is calculated using the Gilmore model from a realistic bubble size and relevant excitation frequencies.