bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calculation of cable core temperature and cooling method of submarine cable
Authors: Zeng Xiancheng , Luo Yi , Liu Zhipeng 
Published: August 2024

Abstract
The cooling condition of the landfalling segment of the submarine cable is not good, so it is of prime importance to consider its temperature dependence. To investigate the cooling performance of circulating spraying of cold-water pipe, a transient thermal path model and a three-dimensional mathematical model of multi-physical coupling fields in the landfalling segment of submarine cable were established, and a cooling device platform was built. The temperature dependence of every structural floor of submarine cable under two models was discussed and contrasted, and the cooling performance of the submarine cable cooling device was studied.
Reactive power optimization for power distribution networks using mixed-integer Second-order cone programming
Authors: Xiang Xiaojing , Gao Shihong 
Published: August 2024

Abstract
The integration of a large number of Distributed Resources (DR) into the power distribution network presents significant challenges to the system’s reactive power and voltage control. This paper comprehensively considers the impacts of network losses, curtailment of renewable energy, and user electricity consumption experiences, and establishes a reactive power optimization model for distribution networks with multiple types of distributed resources. Initially, complex relationships among power flow variables are approximated by linear expressions, transforming the power flow model into a Second-order Cone Programming (SOCP) formulation. Subsequently, quadratic nonlinear terms in the constraints are linearized through the use of auxiliary variable methods. Ultimately, the effectiveness of the proposed model is verified on the IEEE BUS-33 system, with an analysis conducted on the influence of distributed resource capacity, demand response weighting coefficients, and demand response levels on system operation. The study concludes that before the absorption capacity limit of the system, an increase in distributed resource capacity not only reduces system losses but also enhances the user’s electricity consumption experience. However, beyond this absorption capacity limit, further increases in distributed resource capacity not only lead to increased system losses but also result in renewable energy curtailment, thereby causing resource waste.
Research on harmonic power flow calculation method of distribution network with large-scale distributed grid-connected inverter
Authors: Jiang Feng , Ding Jinjin , Xiao Huafeng 
Published: August 2024

Abstract
To calculate the harmonic power flow of the distribution network with large-scale distributed grid-connected inverter, this paper first establishes the harmonic source model based on the grid-connected control strategy and modulation mode of inverters, then establishes the harmonic network according to the parameters and harmonic frequency of the distribution network so as to calculate the high-order harmonic power flow in the distribution network. The accuracy and practicability of the proposed method are verified by the simulation results of Matlab/Simulink platform for a distribution network model with multiple distributed grid-connected inverters.
Intraday optimal scheduling method for microgrid in small sample scenarios
Authors: Zhao Huiting , Meng Ming 
Published: August 2024

Abstract
A deep reinforcement learning method for micro-grid optimal scheduling based on data augmentation was proposed to solve the problem of insufficient training data of deep reinforcement learning for micro-grid optimal scheduling in small sample scenarios. First, the micro-grid optimal scheduling model was transformed into a decision model suitable for deep reinforcement learning. Moreover, the near-end strategy optimization algorithm was used to solve the model. Then, a new energy power generation scenario generation method based on the Wasserstein adversarial generative network with gradient penalty was proposed to expand the training set of deep reinforcement learning.
A multi-feature fusion algorithm for single-phase high-impedance ground fault line selection in distribution networks based on Hilbert-Huang transform
Authors: Li Jinyao , Wu Shouyuan , Gao Lixue 
Published: August 2024

Abstract
High-impedance faults in distribution networks are characterized by steady-state features, making them difficult to identify. A Hilbert-Huang Transform (HHT) analysis technique is utilized in this paper to identify fault lines. The Intrinsic Mode Function (IMF) components, derived from the decomposition of zero-sequence currents in the aftermath of a fault, are then used to generate characteristic values through a time-frequency energy matrix and similarity measures. In this paper, a single-phase high-impedance ground fault line selection algorithm is proposed for distribution networks. Additionally, the first-order IMF is subjected to a Hilbert transform to obtain HHT spectral peak values, which are then combined with the peak values of zero-sequence currents to form a multi-feature fusion criterion for fault line selection. Verification of the efficacy of the suggested fault line selection technique is accomplished using simulation data from a single-phase ground fault model in a distribution network.
Optimization of cogging torque in outer rotor Permanent Magnet Synchronous Motors based on particle swarm algorithm
Authors: Wang Sen , Wang Wenshuo , Li Jiaxin , Tang Chong , Chen Xiaohong 
Published: August 2024

Abstract
To mitigate issues like torque ripple and the accompanying vibration and noise caused by high cogging torque in Permanent Magnet Synchronous Motors (PMSMs), this research adopts a strategy of employing magnets with unequal thickness in the motor’s design. By integrating Ansys finite element analysis with the Central Composite Design (CCD) methodology for experiments, it gathers critical response data. These data points underpin the development of a second-order response surface regression model for outer rotor PMSMs. Utilizing this model, the research aims to minimize the cogging torque by optimizing the motor’s key structural parameters through Particle Swarm Optimization (PSO), finding the optimal parameter set. The results from finite element simulations confirm that this approach significantly reduces cogging torque, achieving effective torque optimization and contributing to smoother motor operation.
Design of rooftop photovoltaic power generation system
Authors: Wen Fawei , Wang Yufang 
Published: August 2024

Abstract
The research was conducted on an urban community rooftop, with the photovoltaic power generation system as the focus. PVsyst software was utilized to simulate the project’s power generation through design and simulation methods. Additionally, 3D models of the roof and photovoltaic modules were created using SketchUp software for analysis and optimization purposes. The simulation results demonstrate that the optimized rooftop photovoltaic system yields superior power generation benefits, providing valuable insights for promoting new energy generation modes such as solar energy utilization and photovoltaic building integration.
Partitioned model predictive control of LiU-Diesel engine air path based on recursive least squares
Authors: Nie Zhiwei 
Published: August 2024

Abstract
Modern diesel engine air-path systems operate the Variable Geometry Turbocharger (VGT) and Exhaust Gas Recirculation (EGR) to track set points for intake manifold pressure, as well as exhaust gas recirculation rate. This presents a challenging canonical case as it describes a highly non-linear multi-input multi-output (MIMO) system. This paper provides an examination of the development procedure for a segmented linear Model Predictive Controller (MPC) based on a data-driven approach. Leveraging the concept of linearization, we develop a series of computationally efficient prediction models, identified based on transient response data generated from the mean model LiU-Diesel. A series of local prediction models constitute a Linear Parameter-Varying (LPV) model covering the entire engine operating region. Subsequently, based on the LPV model, we design and validate a rate-based MPC. The results demonstrate that the MPC designed based on the data-driven LPV model is able to track specified set points and satisfy constraints on states and control.
Research on the speed control system of brushless DC motor based on fuzzy PID control
Authors: Ma Ruzhuo , Li Xiang , Li Yahui 
Published: August 2024

Abstract
This paper presents a fuzzy PID controller for operating the BLDCM speed control system. The controller is built to address the inadequacies of PID controller in real-world applications where substantial model uncertainty and nonlinear components are present. The controller structure, fuzzy rules, and affiliation function were designed based on the current situation. A model of the BLDCM is established, and simulation tests are conducted to evaluate dynamic response and anti-interference capabilities. These tests are compared with results from both the fuzzy logic controller (FLC) and the PID controller. Comparing the developed controller to the other two control techniques, the simulation results suggest that it enhances the anti-interference capabilities of the system and improves both its dynamic and static response performance.
Sliding mode control of dual active bridge converter based on hyperbolic tangent function
Authors: Gu Junjie , Pan Sanbo 
Published: August 2024

Abstract
A sliding mode control (SMC) based on hyperbolic tangent function (HTF) is proposed for dual active bridge (DAB) converters to improve the voltage stabilization performance of output voltage. SMC has gained widespread utilization due to its robustness and its ability to enhance the dynamic performance of nonlinear systems. Nevertheless, the traditional SMC has the problem of buffeting and tracking performance degradation. The SMC based on HTF combines the advantages of SMC and suppresses the buffeting problem. Therefore, the stability and robustness of the output voltage are improved, and accurate reference voltage tracking is realized. To accomplish this objective, a mathematical model of the DAB converter is initially formulated, grounded in the dynamic equation of the output voltage and the power transfer equation, which is taken as the model equivalent part in SMC. At the same time, HTF is used as the switching part and the equivalent part of the model to compare the displacement, and the stability of the control method is established through rigorous analysis using the Lyapunov stability criterion. In the end, in the Matlab-Simulink environment, the proposed SMC based on HTF is simulated and verified.
Optimization design of voltage regulation ring parameters for 1100 kV DC voltage ratio standard equipment based on FCC neural network
Authors: Gao Yin , Gao Ran , Wang Chao , Li Minlong , Shi Jie , Han Gujing 
Published: August 2024

Abstract
The surface electric field strength directly affects the accuracy of voltage measurement in DC voltage ratio standard devices. The auxiliary device known as the voltage regulation ring effectively reduces the surface electric field strength. Therefore, optimizing the voltage regulation ring’s structural characteristics is crucial for decreasing the electric field strength and enhancing the device’s accuracy. This study initially develops a functional engineering simulation model for the device that standardizes the ratio of DC voltages, employing finite element simulation software. Adjustments are made within a feasible range to compute the electric field strength along the surface of the voltage regulation ring, constructing a dataset. Subsequently, an FCC neural network model is constructed to capture the correlation between different parameters of the voltage regulation ring and the maximum surface electric field strength, yielding a relationship model. Finally, the design of the voltage regulation ring is optimized within a finite range using the constructed FCC neural network model to obtain parameters for minimum field strength. Experimental results indicate that under optimal conditions, the minimum electric field strength is 10051.4883 V/cm, effectively reducing the surface electric field strength of the DCVRS device, and provide a reliable and useful design methodology for equipment selection.
Compressible polybenzoxazine high-strength aerogel with a linear structure for thermal insulation
Authors: Long Xin , Xue Ji , Qin Jianan , Tang Jubo , Bi Linnan , Lin Ying , Wei Xiongbang , Liao Jiaxuan 
Published: August 2024

Abstract
The vulnerable structures have been the biggest barrier to the progress and use of aerogels, making it impossible to use aerogels alone in practical environments. The reversible sacrificial hydrogen bonding system in polybenzoxazine can greatly affect the strength function, providing a new approach for designing high-strength aerogels. We achieve a long-chain structured benzoxazine monomer as a precursor and a polybenzoxazine aerogel with excellent mechanical performance. The aerogel achieves a high compression strength (18.8 MPa) and a high fracture strain (78.0 %) at a 0.252 g/cm3 density. Furthermore, the aerogel also exhibits a low room temperature heat conductivity coefficient (0.03343 W/(m·K)) and hydrophobicity (water contact angle of 142.7°), demonstrating its high potential for use in the fields of construction, industry, space flight aircraft, etc.
Performance analysis on VPTIG repair welding joint of 2219 aluminum alloy
Authors: Li Xian , Song Yonglun , Lu Zhenyang 
Published: August 2024

Abstract
When the welded joint of 2219 aluminum alloy has defects, the high-frequency VPTIG is used for welding repair. The mechanism of control is proposed for the repair welding joint, and the process route for satisfying the repair welding joint of 2219-T87 aluminum alloy is formulated to reduce the influence of overall performance on the joint local repair welding position. The research results show that the DC-EN of VPTIG coupled to pulse current at a frequency of 20-25 KHZ is helpful to restrain the metallurgical defects such as pores and refine the grain of the fusion zone, to ensure the comprehensive performance of the repair welding joint.
The analysis and simulation of fracture behavior of fused quartz under dynamic loading
Authors: Duan Wenbo , Zhao Bingyao , Zhou Ping , Guo Dongming 
Published: August 2024

Abstract
Fused quartz is widely utilized across various industries due to its superior performance. However, its brittleness often leads to fracture occurrences under variable external loads during processing or usage, making the investigation of its dynamic mechanical properties and fracture mechanisms crucial. In this study, the fracture strength variations of fused quartz under different loading rates were obtained through strength experiments. It was observed that when the velocity is below 2 mm/min, the loading rate has little influence on fracture strength. And when the velocity exceeds 2 mm/min, fracture strength rises with the increase in velocity. According to the fitted fracture strength-strain rate curve, a modified peridynamic failure criterion was developed to simulate the fracture process under different loading speeds. The simulated fracture morphology closely matched experimental results and the error in fracture load values is less than 8%. It validates the accuracy of the simulation. Additionally, it was found that the displacement values at the moment of fracture under different loading rates were relatively similar. It indicated that higher speeds result in greater loading energy, thus leading to the generation of more cracks and fragments. This study provides theoretical support and reference for understanding the fracture behavior of fused quartz.
Analysis of the reasons for the fracture of the heat-engine plant turbine vane of the power plant feedwater pump
Authors: Gao Jun , Xie Liming 
Published: August 2024

Abstract
The turbine of a 350MW thermal power unit’s feedwater pump in the Mengxi region experienced blade fracture and failure during operation. To identify the cause of blade fracture, comprehensive testing and analysis were conducted on the fractured blade using experimental methods such as macroscopic analysis, chemical make-up analysis, mechanical property testing, microstructure testing, and SEM micro area analysis of the fracture surface. The results indicate that the inner shoulder of the first tooth of the blade root is at a 90° right angle and belongs to the weak part of stress concentration. The steam of this unit contains Cl-, which poses a significant risk to blade materials. Corrosive Cl- accumulates at the inner arc shoulder of the blade root long and forms tensile stress together with the static and dynamic loads during blade operation, leading to the initiation of SCC microcracks in this area. Under the long-term cyclic excitation stress generated by the high-speed rotation of the rotor, the source of stress corrosion cracks propagates in a fatigued manner, resulting in severe fracture of the blade.
Experimental study on the high-velocity impact resistance of Vitrimer-based carbon fiber composites
Authors: Lin Ziyue , Chen Peng 
Published: August 2024

Abstract
Vitrimer-based composites combine the excellent performance of thermoset materials with the recyclability of thermoplastic materials. In this paper, based on ballistic impact experiments, the high-velocity impact resistance of CFRP before and after matrix modification and the failure mechanism of Vitrimer-based composites are investigated. The better impact resistance of Vitrimer-based composites is demonstrated in terms of ballistic limit, energy absorption, and failure modes. The failure mechanism of Vitrimer-based composites, which is different from that of conventional Epoxy-based composites, is found by CT scanning and verified in the strain signals.
Optimization design of the ducted fan powered high-lift system based on i-sight platform
Authors: Mao Sen , Li Gang , Zhao Chuangxin , Guo Qiang , Feng Wenliang , Xie Zongming 
Published: August 2024

Abstract
The vertical/short take-off and landing (V/STOL) unmanned aircraft vehicle (UAV) equipped with a ducted fan has a broad application prospect, and the design of the ducted fan-powered high-lift system has become one of the key factors in the design and development. The i-Sight platform is used to optimize the design of the 2D ducted fan-powered high-lift system in the paper. First, the parametric modeling of the main control parameters is carried out, and then the i-Sight platform is built to carry out optimization calculations. Finally, three optimal design points are found for detailed aerodynamic characteristics analysis, and then the optimal scheme is selected. The i-Sight platform is proven to be accurate and efficient. By moving the ducted fan horizontally forward from the initial position to 160 mm, a larger lift coefficient can be obtained, while moving the ducted fan vertically from the initial position to 300 mm, a larger lift resistance ratio can be obtained.
Effect of explosion venting effect on explosion response characteristics of box-shaped cabin
Authors: Ma Yinliang , Ji Chenli 
Published: August 2024

Abstract
In this paper, based on dynamics software ANSYS/LS-DYNA, a numerical model is established to simulate the dynamic response of a box-shaped cabin, and the validity of the numerical model is confirmed by comparing its results with existing literature or experimental data. Using the validated model, the study delves into dimensionless damage number of box-shaped cabin structures in relation to implosion responses, taking into account the explosion venting effect. Numerical analysis is performed to determine the relationship between dimensionless damage number Din
and deflection thickness ratio δ/H of the cabin’s plates. The study then considers the influence of the explosion venting effect on the implosion response of box-shaped cabins and proposes dimensionless damage number Din
‘
, which can predict structure damage of constraint explosion.
Ease-off modification and tooth contact analysis for near net shape face-gear
Authors: Han Yinan , Ding Miaojiang , He Shuaiqi , Yang Jianjun 
Published: August 2024

Abstract
An ease-off modification method for face gear by near-net shape forming was proposed to improve transmission performance. Firstly, based on the involute cylindrical gear surface, the completely conjugated tooth surface of the face gear was obtained, and the ease-off surface was constructed using second-order and fourth-order polynomials. Then, the tooth contact analysis for the modified flank is carried out. According to the loaded tooth contact analysis (TCA), the transmission error (TE) and contact path were consistent with the predesigned parameters. The noise experiments confirmed that the meshing performance of the ease-off modification tooth surface is better than that of the ordinary design method, which provides a reference for the topological modification design method for the die tooth surface of face-gear.
Numerical study on mechanical responses of AHR and BWD packer under a cyclic loading
Authors: Ma Xin , Shao Bing , Zhang Yongliang , Wang Xiaomei 
Published: August 2024

Abstract
For AHR and BWD packers which are commonly used in gas storage, the mechanical behavior and sealing properties are comparatively studied in this paper by the numerical simulations and experimental verification. First of all, through the experimental data fitting, the Yeoh equation is adopted for the constitutive relationship of the hyper-elastic rubber used in the packers. Based on the ABAQUS explicit FEM algorithm, the mechanical behaviors of the packer during the setting process and under working conditions with a cyclic loading are discussed and the stress risky spots of the sealing rubber are investigated. The results obtained in this work could be helpful for the engineering application of the packer in gas storage.
Simulation study on the dynamic response of X80 steel pipelines under explosive loads
Authors: Wang Yuntian , Yang Min , Hu Danping , Wei Qiujie , Zhang Ying , Guo Yuzhu 
Published: August 2024

Abstract
This research investigates the dynamic response and failure behavior of X80 steel pipelines under external contact explosion loads, a critical concern for oil and gas pipeline safety due to increased terrorist activities. The dynamic response characteristics are critically analyzed under ten different conditions of explosive charges, providing a detailed evaluation of the damage mechanisms, including denting and perforation. The study finds that wall thickness significantly influences the blast resistance of pipelines, with thicker walls offering better protection against explosive loads. This is substantiated by comparing destruction scenarios and morphologies of perforation holes between X80 and X70 steel pipelines. The paper concludes that increasing wall thickness markedly improves pipeline resilience against explosive destruction, contributing valuable guidelines for designing more robust and safer pipeline infrastructures.