bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting the high/low-speed large-scale structures by a machine learning perspective in turbulent boundary
Authors: Zhang Yujie 
Published: May 2024

Abstract
The current developments in machine learning have facilitated the application of data-driven strategies for predicting the evolution of vortex structures in turbulent boundary layers. This study combines the attached eddy hypothesis with the extreme gradient boosting model to forecast large-scale high/low-speed motion based on a series of input signals. The performance of the trained model, as quantified by the percentage of accurately predicted high/low-speed regions, exhibits variability concerning the deviation between the input velocity fluctuation and the predicted output value at z/δ=0.016, where ‘z’ represents the wall-normal height and ‘δ’ indicates the boundary layer thickness. Our findings underscore the significant potential of machine learning in predicting high/low-speed regions within large-scale motion.
The study of input power of an underwater free-damping ribbed plate in statistical energy analysis
Authors: Guo Zhiwei , Sheng Meiping , Wan Zifei , Wang Qian , Cheng Yipeng 
Published: May 2024

Abstract
To study the vibration characteristics of the free-damping ribbed plate with fluid load under point force excitation in statistical energy analysis (SEA), the theoretical model of input power calculation was established in this research. The simulational results from SEA commercial software validated the correctness of the proposed theoretical model. As inferred from the theoretical model, the added damping layer and ribs significantly affect the effective bending stiffness and area density, and the added fluid load only affects the effective area density. These effective parameters will affect the input power of the fluid-loaded free-damping ribbed plate, resulting in increased input power as a function frequency. The research in this paper could provide theoretical guidance on the vibroacoustic analysis of underwater complex ship structures.
Thermal behavior and dynamics of flow boiling in a pin-fin microchannel
Authors: Huang Haoxiang , Yan Zhe , Pan Zhenhai 
Published: May 2024

Abstract
As the need for effective heat dissipation in specialized systems intensifies, the study of flow boiling in microchannels has gained prominence due to its high efficiency and cost benefits. Utilizing a three-dimensional computational model incorporating the Volume of Fluid (VOF) and Saturated Interfacial Volume (SIV) methodologies, this research scrutinizes the behavior of saturated flow boiling in a microchannel featuring a centrally positioned, heated square cylinder. The analysis focuses on variations in bubble morphology, fluidic behavior, and thermal profiles, revealing that the evaporation of a thin liquid film contributes significantly to heat transfer efficacy. A systematic assessment of temperature gradients, heat transfer coefficients, and liquid film metrics uncovers the critical drivers behind effective heat transfer across different surfaces. Additionally, the study elucidates the role of Reynolds number and initial bubble size, indicating that higher Reynolds numbers thicken the liquid film, reducing heat transfer efficiency, while larger initial bubble diameters thin the liquid film, thereby boosting efficiency. Factors such as thermal boundary layer disruption and superheated fluid absorption further contribute to heat transfer optimization. This investigation enriches the current understanding of phase-change heat transfer dynamics and bubble interactions in microchannel environments equipped with a heated square cylinder.
Study on flow behavior of fresh concrete in elbow using the dense discrete phase approach
Authors: Wu Mingzhuang , Chen Fei , Li Aimin , Sun Guanzhong 
Published: May 2024

Abstract
The presence of an elbow in the pipe during pumping can cause serious problems such as separation and clogging of the concrete. It is difficult to accurately and intuitively observe the internal information of the pump tube. This work used the Dense Discrete Phase Model (DDPM) to investigate the flow behavior of fresh concrete in the elbow. Firstly, the accuracy of the simulation model is verified. Then, the DDPM is used to research the flow behavior of fresh concrete in the elbow at different inlet velocities, and the changing rules of flow velocity, pressure loss, and particle migration are revealed. This work provides a solution to ensure the normal pumping process and effectively predict the pump pressure loss.
Analytical solutions for unsteady fractional maxwell nanofluid flow and mass transfer between two rigid spheres with periodic oscillations
Authors: Shi Jingyun , Liu Chunyan , Bai Yu , Wu Xueke 
Published: May 2024

Abstract
In this paper, we develop axisymmetric squeeze flow and mass transfer of incompressible Maxwell nanofluid between two rigid spheres. The position of the boundary between the two rigid spheres varies periodically with time and space, and the unsteady magnetic field is considered. Analytical solutions are derived for velocity and concentration by using the method of Laplace integral variation. In addition, the radial velocity and concentration distributions are imaged and the relevant parameters are analyzed.
Pressure changes in two-phase flow of gas and liquid in a wellbore
Authors: Tian Jingmeng , Song Xianmin , Li Dan , Cao Guangsheng , Wang Xing , Wang Yahui , Meng Sinuo 
Published: May 2024

Abstract
The phenomenon of high gas-liquid ratio has an impact during the lifting process of oil wells, and it is necessary to study the variation of the two-phase flow of gas and liquid in the wellbore. In this paper, the pressure losses along the wellbore and the coupling pressure losses in the process of gas-liquid two-phase flow in the wellbore were studied through experiments. It was found that with the increase in gas content, the pressure losses gradually decreased, and there was a turning point in the pressure losses within the gas content range of 10-15%. With the increase in flow rate, the pressure losses also increased. The theoretical model was used to calculate the bottom hole pressure values of actual oil wells under different gas contents and flow rates. It was found that in the calculation process, the dominant flow regime is often slug flow. Through experiments and theoretical calculations, the influence of gas content and flow rate on the pressure inside the wellbore was determined, providing guidance for understanding the changes in pressure during the lifting process of oil wells.
Effects of computational domain in underwater explosion numerical simulation on bubble pulsation
Authors: Fang Houlin , Zhang Dezhi , Guo Quanshi , Lu Qiang , Ding Yang , Tao Sihao , Bai Wudong , Liu Cunxu 
Published: May 2024

Abstract
To clarify the influence of the computational domain size on the underwater explosion bubble pulsation, a one-dimensional axisymmetric model of the underwater explosion was established. The computational model was verified using empirical formulas. Further research was conducted on the variation patterns of the bubble pulsation period and maximum radius with changes in the proportional computational domain radius. The results indicate that as the proportional computational domain radius increases, the maximum radius of the bubble and the bubble pulsation period gradually increase and stabilize. The proportional computational domain radius required to achieve stability is related to the static water pressure of the computational domain. Increasing static water pressure makes the required computational domain size for achieving high numerical accuracy smaller. When the proportional computational domain radius reaches around 1600, the calculation results are highly accurate under different static water pressures at different depths of explosion.
Numerical study of the brash ice effects on propeller performance with different advance speeds
Authors: Wen Xiao , Liu Zhenghao , Yang Mengzi , Ding Ju 
Published: May 2024

Abstract
In this paper, the effects of brash ice on propeller performance with different advanced speeds are numerically analysed based on the CFD-DEM method. The results show that in the ice-water environment, the thrust and torque of the propeller oscillate violently due to the interaction between the ice and the propeller, and as the advanced speed increases, the oscillation becomes more and more intense. Moreover, under the blocking effect of sea ice, the average value of the thrust and torque of the propeller obviously increase and cause a large loss of propeller performance under high advance speed conditions, which would seriously affect the ice-breaking ability of polar ships.
Free-field three-transducer spherical-wave reciprocity calibration for hydrophone at hydrostatic pressure of 10 MPa
Authors: Jia Guanghui , Chen Yi , Zhang Dong 
Published: May 2024

Abstract
Free-field three-transducer spherical-wave reciprocity method has been reviewed and employed to calibrate the hydrophone of TC4033 in a high hydrostatic pressure vessel. To reduce the measurement uncertainty, a reciprocal calibration bracket and reciprocal transducers were designed and developed. The calibration bracket can locate the transducers in the high hydrostatic pressure vessel. The reciprocal transducer can reduce the errors caused by the deviation of reciprocity. A correcting sensitivity method based on complex electrical impedance measurement has been described, which can obtain the original open-circuit sensitivity of a hydrophone. It is more accurate than correcting method based on the measurement of extension cable capacitance especially near the resonant frequency range. The TC 4033 hydrophone was calibrated in the one-third octave frequency points from 2 kHz to 200 kHz at a high hydrostatic pressure of 10 MPa. The calibration results were analyzed, and the measurement uncertainty was estimated to be 0.5 dB (k=2).
Stochastic CFD numerical model, algorithm, and simulation on regular wave fields
Authors: Wang Mingyuan , Yu Wei , Yang Yang , Wang Yajun 
Published: May 2024

Abstract
This paper invites higher-order derivative numerical technology to research the stochastic characteristics in regular wave fields. The randomness of the parameters vector was incorporated during the stochastic space establishment, by which, the stochastic CFD numerical model and algorithm were developed in the study. Meantime, Taylor expansion coupled with the perturbation was also utilized to realize the investigation on the random behaviours of the regular wave fields where the perturbative values of the parameters vector included 1%, 2%, and 3%. The results indicated the merit of the stochastic CFD numerical model and algorithm in wave field research.
Parametric optimization of rearview mirror structure based on a multi-island genetic algorithm
Authors: Dong Guoxu , Jiang Hao , Zhang Dongxing , Ma Rui , Xia Jinhao , Jia Wenyu , Xu Xiaomin 
Published: May 2024

Abstract
To quickly find the structural parameters of a particular mirror that produces the least amount of aerodynamic noise, the rearview mirror of a passenger car is taken as the research object and an optimization platform is established based on Isight software in this paper. The mirror structure is parameterized in Sculptor, and several sample models are constructed using the optimal Latin hypercube design (OLHD). Then, by simulating each sample model, the sound pressure level of the Curle source at the side window surface monitoring point was obtained. The relationship between the mirror structure and the wind noise at the point is fitted using the Kriging approximation model after the calculation is completed. Finally, the values at each point decreased when the changes at positions 1, 2, 3, and 4 were 2.5 mm, 3.91 mm, 4.5 mm, and 3.6 mm, and the sound pressure level at monitoring point 4 decreased the most, with a reduction of 3.76 dB in wind noise compared with the original model.
The comparative research on the VPMM experiment and numerical simulation of the SUBOFF model
Authors: Sun Haoyu , Hong Yue , Yu Changli , Zhang Xingming , Ju Xiaoqun 
Published: May 2024

Abstract
To ensure optimal maneuvering performance of underwater vehicles, it is essential to obtain highly precise hydrodynamic coefficients for constructing the equations of motion. The principal approach to acquiring these coefficients is through the Planar Motion Mechanism (PMM) test. The subject of this paper is the SUBOFF full appendage model. To obtain hydrodynamic coefficients related to maneuvering motion, a Vertical Planar Motion Mechanism (VPMM) test is conducted in the circulating water tank. In addition, a numerical simulation of the typical pure heaving and pure pitching maneuverability test is performed for the model by programming its motion UDF using Fluent’s dynamic mesh technology. The test results and calculated hydrodynamic coefficients are compared to the data obtained from the Key Laboratory of Underwater Robotics Technology of Harbin Engineering University. The calculation results show high credibility of the test results of the circulating tank VPMM test. The corresponding numerical simulation has a certain practical engineering accuracy, which can break through the limitations of the test and also provides valuable experience and technical reference for the hydrodynamic prediction of other underwater vehicles.
Numerical simulation of hot soak in cabin based on ventilation strategy
Authors: Chen Deyu , Chen Suifan , Ge Qing 
Published: May 2024

Abstract
To address the issue of excessive heat within the vehicle’s cabin, this study employs transient simulation methods to explore and analyze how various ventilation tactics and parameters influence the cabin’s temperature distribution and air quality. Findings indicate that the optimal thermal comfort and air quality conditions are achieved through the implementation of a top ventilation strategy. Specifically, with an air supply velocity of 3 m/s, a supply air temperature of 19°C, and an airflow direction of 15°, the air age at the driver’s breathing zone is measured at 18.92 seconds, while it stands at 20.35 seconds at the child passenger’s breathing zone. This ventilation setup achieves an air exchange efficiency of up to 80.1%, nearly complete pollutant removal efficiency, and places the thermal comfort at monitored human body points within a range deemed satisfactory or comfortable. Overall, this configuration yields the most favorable conditions for the comfort of the driver and passengers compared to other scenarios examined.
Performance analysis of a novel solar Linear Fresnel concentrator system based on spectral beam splitting
Authors: Xu Ning , Qiu Zhongzhu , Zhang Jingkui , Zhu Qunzhi , Zhang Tao , Cai Jingyong , Ni Xingrui , Zhang Miaomiao , Tan Guoheng , Lu Tianrui 
Published: May 2024

Abstract
Photothermal and photovoltaic are the most common and commercialized ways of utilizing solar energy. However, they cannot use solar energy efficiently. SBS (spectral beam splitting) technology is an efficient solar energy utilization technology that can realize the full spectrum utilization of solar energy. The current work involved: (1) Proposing a SBS-LFCs (linear Fresnel concentrator system) based on spectral beam splitting. In this system, the SBS photovoltaic panel replaces the conventional linear Fresnel concentrator lens, which can realize photovoltaic and photothermal utilization at the same time; (2) Developing a spectral splitting thin films configuration using the Needle method whose transmittance is higher than 90% against 380 nm-1100 nm band range; (3) Designing the SBS photovoltaic panel structure. The cover glass surface is covered with a SBS thin film. The SBS photovoltaic panel replaces the concentrator lens of LFCs; (4) Taking four typical days as examples, the annual power generation of a SBS linear Fresnel focusing system was predicted. The outcome indicates that the total conversion efficiency of solar thermal power in the system is 23.8%, 23.5%, 23.5%, and 23.6% on the spring equinox, summer solstice, autumn equinox, and winter solstice, respectively. Compared to conventional monocrystalline silicon cells, the photoelectric conversion efficiency has been improved by 14.6%, 12.8%, 12.5%, and 14.1%, respectively.
Multi-distributed resource coordination based on GAMS (general algebraic modeling system)
Authors: Huang Yuqi , Leng Zhenglong , Ye Wei , Zhou Zhaozheng 
Published: May 2024

Abstract
To achieve the economic operation of distributed energy resources in the grid, a GAMS-based multi-distributed resource optimization and control method is proposed. Firstly, considering the coexistence of electricity load and heat load in the grid system, a virtual power plant structure involving heat generation from distributed energy is established. Secondly, the General Algebraic Modeling System (GAMS) is utilized to create a detailed mathematical model for the distributed resources within the virtual grid. Subsequently, considering the influence of various uncertain factors, the CLPEX solver is employed for optimization and solution. Research results indicate that during the operation of the virtual power plant, the introduction of system heat load significantly enhances the expected profit and improves the economic efficiency of the operation.
Single-phase photovoltaic off-grid inverter based on quasi-PR control
Authors: Wang Pujie 
Published: May 2024

Abstract
Given the rapid growth of renewable energy generation, photovoltaic inverters have gained widespread adoption in power generation systems. To achieve improved precision in control and enhanced quality in the output waveform of the inverters, this article presents a single-phase photovoltaic inverter designed for both grid-connected and off-grid systems. It utilizes a quasi-proportional-resonant control technique. Initially, the mathematical representation of the grid-connected and off-grid inverter is established. Following this, the quasi-proportional resonant control strategy is introduced, with the corresponding implementation method of the controller derived from its equivalent block diagram. Furthermore, the control block diagrams of the grid-connected and off-grid inverters undergo a detailed analysis, and the system’s transfer function is obtained from the control block diagram. The incorporation of grid voltage feedforward control is introduced for examining the system’s tracking performance. Ultimately, the proposed control approach is validated for its effectiveness and practicality through Simulink simulation.
A novel approach to data analysis for lithium-ion batteries using higher-order spectral analysis
Authors: Zhang Zhi , Bai Shuhua , He Baiqing , Huang Jinliang , Wu Lei , Zhou Donglan , Liao Dan 
Published: May 2024

Abstract
The usage of lithium-ion batteries has become widespread across various applications, such as electronic devices, electric vehicles, and integrated renewable energy systems. Hence, there is a pressing need to enhance analytical techniques to optimize their performance and prolong their operational lifespan. This study introduces an innovative methodology that utilizes higher-order spectral analysis (HOSA) for evaluating data collected from lithium-ion batteries. The objective is to capture the inherent nonlinear and non-stationary behaviors displayed by battery data. The proposed approach mainly uses Bispectrum and Bicoherence to establish hypothesis tests for nonlinearity and non-Gaussianity of data. Through a customized algorithm, the higher-order spectrum of these refined data is calculated, uncovering intricate characteristics that may go unnoticed by conventional analytical methods. These findings have a wide range of potential applications, including battery modeling, fault detection, state-of-charge estimation, state-of-health estimation and the enhancement of battery performance. Finally, an experiment is conducted to validate the effectiveness of the method.
Development of the interferometer control system on HFRC
Authors: Wang Yajun , Gao Li , Wang Liye , Zheng Wei , Yang Jingmin , Yang Zhoujun , Chen Zhipeng 
Published: May 2024

Abstract
The CO2 laser interferometer is an important diagnostic
system in the HUST Field Reversed Configuration (HFRC) and can
provide routine electron density measurement for plasma
experiments. A commercial laser (λ = 10.6 μm) with a
maximum output power of 20 watts is used as the laser source for the
interferometer, which can pose a threat to the safety of
experimenters and experimenters' experimental environment. Moreover,
most of the components of the system are sensitive to the
temperature and humidity of the environment. For the aim of safe and
stable operation, it is necessary to develop a CO2 interferometer control system (CICS). A module was innovatively
designed with a servo to regulate power according to commands and
protect timely when a fault takes place. Additionally, a special
device using a stepper motor can automatically regulate and release
the laser according to the different stages of the experiment. The
hardware design of the CO2 control system incorporates the
ESP32 microcontroller, servo and stepper motor, which can
automatically monitor, regulate and protect in case a fault takes
place. The software implementation of the interaction is based on
the OneNET platform and is first used on the CO2 interferometer, linking in the Internet based on Internet of Things
(IoT) technologies to each sensor and device in the control system,
which can achieve visualization monitoring and remote control. With
the operation of CICS, the CO2 interferometer can run stably
and be timely protected.
A model for photon counting X-ray event reconstruction uncertainty
Authors: Jones L.S. , Crews C. , Ivory J. , Holland A. 
Published: May 2024

Abstract
Evaluation of detectors for a soft X-ray imaging
spectrometer has resulted in the need to understand the effect of
charge spreading on apparent detector noise properties, and
therefore achievable energy resolution. This paper presents a
mathematical model for the processes leading to increased
uncertainty within a simplified X-ray reconstruction process. This
is a description for additional uncertainty introduced by the
process of collecting X-ray generated electrons into a region of
noisy pixels and reconstructing the recorded pixels values back into
an estimated X-ray energy value. The predictions of the model, and
preliminary experimental verification are shown.
Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system
Authors: Liu Ruosi , Ding Yang , Xie Guangming 
Published: May 2024

Abstract
This study aims to investigate the feasibility of using an artificial lateral line (ALL) system for predicting the real-time position and pose of an undulating swimmer with Carangiform swimming patterns. We established a 3D computational fluid dynamics simulation to replicate the swimming dynamics of a freely swimming mackerel under various motion parameters, calculating the corresponding pressure fields. Using the simulated lateral line data, we trained an artificial neural network to predict the centroid coordinates and orientation of the swimmer. A comprehensive analysis was further conducted to explore the impact of sensor quantity, distribution, noise amplitude and sampling intervals of the ALL array on predicting performance. Additionally, to quantitatively assess the reliability of the localization network, we trained another neural network to evaluate error magnitudes for different input signals. These findings provide valuable insights for guiding future research on mutual sensing and schooling in underwater robotic fish.