bluuebunny/crossref_metadata_2025_split huggingface dataset:
Particles reinforcement via friction stir processing (FSP): A Review
Authors: Kumar Harikishor , Prasad Rabindra , Kumar Parshant , Bhanuprakash L 
Published: October 2024

Abstract
Friction stir processing (FSP) is a variant of friction stir welding (FSW) follows the same principle of operation as that of FSW; however, its purpose is very much different. FSP can be employed for the reinforcement of particulate filler in materials to form surface composites. FSP carries a tool of cylindrical shape with shoulder and pin. Being mounted with the spindle of the machine, it can rotate with high speed as well as exert vertical force and hence plunges the pin in to the materials. Heat originated due to friction softens the material beneath shoulder and as tool passed through ahead the material is processed and consolidated. During processing, materials experience severe deformation and mixing. Also, the temperature of the materials goes high significantly due to the synergetic effect of friction and plastic deformation. Due to the material mixing and thermo-mechanical nature, the process opens the door for the possible incorporation of second phase particles in the processed region. In this review, firstly processing/reinforcement approaches will be discussed which will be followed by effect of process parameters. After that, microstructure evolution and related mechanical properties will be discussed in detail. The synergism among process parameters, microstructure and mechanical properties will also be discussed.
Multi-objective parametric modelling during wire-cut electric discharge machining of Incoloy 800H
Authors: Reddy Paturi Uma Maheshwera , Sahasra Bhojane Omkar Sunil , Reddy Goturi Sheshank , Vamshi Nudurupati Achintya , Nandan Konidhala , Reddy N.S. 
Published: October 2024

Abstract
Incoloy 800H exhibits exceptional resistance to corrosion in aqueous environments and demonstrates a strong resistance to chloride stress-corrosion cracking. In this study, a multi-objective parametric optimization technique is used to model and optimize the process inputs and the response parameters during wire electrical discharge machining (WEDM) of Incoloy 800H. Statistical techniques, response surface methodology (RSM) and analysis of variance (ANOVA) were employed for this purpose. The correlation coefficient is used to determine the accuracy of statistical model predictions based on experimental data. The results of statistical analysis demonstrate that the model predictions and experimental observations are in high agreement, with correlation coefficients of 0.9224 for surface roughness and 0.9968 for material removal rate (MRR). Thus, RSM helps in choosing the best input parameters, minimizing experimental trials, and enhancing process efficiency.
Exploration into assessing the mechanical characteristics of PETG pieces through the use of 3D printed material element tribology
Authors: Avinash Kapil Sk. , Harika Chowdary M. , Babji A. , Prabhuchand K. , Kumar Peyyala Pramod 
Published: October 2024

Abstract
Additive manufacturing techniques like 3D printing make it possible to quickly and affordably create complexly formed bodies. It is particularly helpful for engineering applications like quick prototyping and rapid manufacturing. Using a heated nozzle arranged in three axes, filament is dispensed using the widely utilized fused deposition modeling (FDM) technique. The filament hardens as it leaves the nozzle. The study presented in this article examined the mechanical characteristics (primarily the elastic modulus and basic tensile strength) of elements printed using the fused deposition modeling (FDM) process from two different materials: unreinforced polyethylene terephthalate glycol (PETG) and glass-fiber reinforced PETG. The study compares the characteristics of PETG with and without the inclusion of glass fiber, outlining the advantages and disadvantages of the materials mentioned. The collected data can be utilized to model the characteristics of 3D printed elements and aids in quantifying the mechanical properties of PETG pieces.
Influence of Printing Parameters to optimize mechanical properties in additive manufacturing – A Review
Authors: Bhushan T.V.S.M.R. , ChandraSekhar A. , Raju B. , Rahul Puri Ch. 
Published: October 2024

Abstract
Additive manufacturing (3D printing) is a revolutionary technology with widespread applications among various industries. It is a cost effective and fast prototyping technology of 20th century, the parts produced by 3D printing are not only used for pre-production samples but also for replacement of functional parts in various applications. Various methods of 3D printing technologies viz., Fused Deposition, Resin printing etc., are available, however Fused Deposition Modelling (FDM) technique is very popular since it is promising and cost effective. There are two major aspects needs to be considered in preparing a sample from 3D printing, i.e., selection of material and printing parameter. With the advancement of material technology from time to time, the efficient and quality products that are produced with this technology. The present study explores the impact of various parameters that affect mechanical properties of 3D printed Polylactic Acid (PLA) in horizontal orientation.
A Study on the Bending Strength of Ultra Double-Sided Polypropylene Arc Welded Using Stainless Steel Sheets
Authors: Prasad Tankeswar , Srinivasa Reddy K , Kunda Aruna , Durga JM , Sai Kumar A 
Published: October 2024

Abstract
In this research, a micro-plasma arc welding technique is used to butt weld super duplex stainless steel sheets with a thickness of 0.33mm. While roughness and strength of tensile are referred to as output qualities, welding input factors included pulse width, pulse rate, peak current, and base current. Applications requiring both strong fatigue strength and resistance to corrosion are increasingly using super-duplex stainless steels. Welded joint tensile strength (868.28MPa) is 6.28 percent less than the fundamental metal tensile strength (923.16MPa). The microstructure of welded super duplex stainless steels has a strong correlation with their tensile strength (SDSS), and ANSYS has been utilized to do FEA analysis for different profiles that have also been investigated. This work includes a detailed investigation of the effects of various welding circumstances on super duplex stainless steel.
Casting and Microstructural Characterization of High-Performance 2000 Series Aluminum Alloy for Aerospace Applications
Authors: Ben Moses R , Ajith Raj R , Vijay Judges I , Barath Srinivas P 
Published: October 2024

Abstract
The aerospace industry demands materials with superior mechanical properties, lightweight characteristics, and excellent corrosion resistance. In response to this need, this study focuses on the development and manufacturing of a new aluminium 2000 series alloy designed specifically for aerospace applications. The alloy design process involves a meticulous combination of alloying elements to optimize mechanical performance, thermal stability, and manufacturability. The manufacturing process involves advanced metallurgical techniques such as casting, extrusion. Characterization studies including microstructural analysis, mechanical testing, and corrosion resistance evaluation demonstrate the superior performance of the developed alloy compared to conventional materials. The newly developed aluminium 2000 series alloy exhibits promising mechanical properties and microstructural characteristics ideal for aerospace structural components. Overall, this research contributes to the advancement of materials science in aerospace engineering to meet the specific requirements of modern aerospace applications. The developed alloy not only offers improved performance but also presents opportunities for enhanced fuel efficiency, reduced environmental impact, and increased safety in aerospace operations.
Real-type test platform capacitor bank switching oscillation suppression strategy and switching device design
Authors: Li Bing , Chen Haoran , Zhou Chuanqi , Li Xingyu , Liu Jundi , Wu Hanxu 
Published: October 2024

Abstract
The true-type test platform is widely used to evaluate whether relay protection devices are effective and accurate in handling simulated single-phase ground faults. However, since the system scale needs to be increased or decreased by switching capacitors connected in parallel on the feeder line, uncontrolled switching of capacitors may cause the magnetic latching relay to burn out. This article studies the transient process of switching and analyzes the reasons for relay burnout. Switching capacitors at non-current zero-crossing points will produce a large inrush overvoltage, which will burn the relay. To solve this problem, a switching control strategy based on delay compensation is proposed to ensure no inrush overvoltage during the switching process, improve the service life of the magnetic latching relay, and improve the safety of the power capacitor.
Control of a lithium-ion battery interfacing front-end quadratic boost converter with virtual-vector MPC
Authors: Liu Bin , Fu Tian 
Published: October 2024

Abstract
In response to challenges such as energy loss, shortened lifespan, and risks of overcharging and over-discharging in the energy conversion process of lithium-ion batteries, this paper proposes an innovative Model Predictive Control (MPC) strategy for the secondary type boost converter at the interface of lithium-ion batteries. This strategy introduces an efficient secondary-type boost converter. It utilizes MPC methods to ensure stable control of input voltage at the optimal operating point and swiftly adjust responses in the event of voltage transients, effectively avoiding the risks of overcharging and over-discharging. This rapid response mechanism significantly enhances the system’s dynamic performance, reduces energy losses, extends battery life, and ensures safe operation. The MPC control strategy demonstrates its significant advantages in both dynamic and steady-state performance through experimental validation and comparison with traditional PI control methods.
Performance analysis of DME multipath interference monitoring for APNT applications
Authors: Du Shijie , Jia Qiongqiong 
Published: October 2024

Abstract
In order to meet the application requirements of Performance Based Navigation (PBN) during the malfunction of the Global Navigation Satellite System (GNSS), the concept of Alternative Positioning Navigation and Timing (APNT) has been proposed. DME/DME navigation based on Distance Measuring Equipment (DME) is considered the most promising solution for APNT. However, the degradation of DME ranging accuracy due to multipath transmission makes the DME/DME navigation method unable to meet the performance requirements of PBN. Based on this, this paper analyzes the performance of Signal Quality Monitoring (SQM) and Receiver Autonomous Integrity Monitoring (RAIM) methods, which are commonly used in GNSS, in monitoring the multipath interference in DME systems, and lays the foundation for real-time DME multipath interference suppression. The experimental results show that for the conventional multipath interference in the DME system, the detection performance of the SQM metric is better, while for the strong multipath interference, the detection performance of the RAIM algorithm is better.
Research on performance degradation of force sensors based on improved error back propagation algorithm
Authors: Wang Pengling , Wang Peng , Wang Chu , Wang Bin , Chen Chen , Li Liangliang 
Published: October 2024

Abstract
Studying the performance degradation of force sensors, a core component of aircraft control stick force measurement devices, is essential. The key to investigating equipment performance degradation lies in constructing a degradation model. When dealing with degradation data from specific devices, relying solely on fitting methods may not effectively describe the degradation of the equipment. This study introduces an error backpropagation neural network model for constructing the performance degradation model of force sensors, and optimization improvements are made by using a genetic algorithm. Experimental results demonstrate a 99% reduction in Root Mean Square Error with the proposed modeling approach.
Fault diagnostic research on the MMC output current sensors
Authors: Kang Zhuang , Zhang Li 
Published: October 2024

Abstract
The modular multilevel converter (MMC) has been extensively studied, and sensors are an important part of the MMC control link. However, few diagnostic methods exist to study the diagnosis of sensor faults in MMCs. This paper proposes a fault diagnosis strategy for output sensors in MMCs, which can complete the detection and localization of the faulty output current sensor. According to the operating principle and mathematical model of MMC, the fault mechanism and fault feature are analyzed. Secondly, the fault diagnosis method is designed according to the fault characteristics. Finally, simulation results show that the strategy proposed in this paper can accurately diagnose faults.
Development of spectral radiation imaging diagnostic systems for HFRC Device
Authors: Han Cheng , Cheng Zhifeng , Lin Weijie , Tian Ye , Zhang Yuchen , Rao Bo , Jin Xinyi 
Published: October 2024

Abstract
Spectral radiation imaging diagnostic systems utilizing PDA (avalanche PhotoDiode Array) have been developed and deployed on the HFRC device (HUST Field Reversed Configuration Device). These systems are designed to measure Hα radiation imaging, plasma velocity, orientation, and shape. Their innovative features include higher spatial resolution, integrated system design, flexible measurement, and superior electronic performance. This paper discusses the selection of basic electronic circuits, circuit analysis, parameter design, and noise analysis in detail. The accuracy of the design is validated through simulation and practical testing. The final system parameters achieved a bandwidth of 610 kHz, low noise of 2.5 mV, approximately 3% system overshoot, and a rising time of 468.5 ns. Additionally, preliminary measurement results are provided.
Mechanical State Fault Diagnosis Method of High Voltage Circuit Breaker Based on ICEEMDAN-Hilbert Marginal Spectral Energy Entropy
Authors: Peng Bohao , Wang Zhijuan , Qi Runze , Wei Binbin , Cao Shi , Liu Qinzhe 
Published: October 2024

Abstract
The predominant faults in high-voltage circuit breakers often stem from mechanical malfunctions within the operating mechanism. Addressing the intricate nature of feature extraction arising from the transient, nonlinear, and non-stationary characteristics of mechanical vibration signals during the circuit breaker’s operation, we propose a method for vibration signal feature extraction and fault diagnosis. This method integrates an Intrinsic Computing Expressive Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) with Hilbert marginal spectrum analysis. ICEEMDAN is utilized to decompose vibration signals, while Hilbert marginal spectrum is employed to calculate effective Intrinsic Mode Function (IMF) components. The distribution of Hilbert marginal spectrum energy entropy is analyzed, and the feature vectors are fed into an SVM classifier to achieve intelligent diagnosis of mechanical faults in high-voltage circuit breakers. Experimental validation demonstrates the reliability and effectiveness of the proposed ICEEMDAN-Hilbert marginal spectrum energy entropy-based approach for diagnosing mechanical faults in high-voltage circuit breaker operating mechanisms, offering valuable insights for practical applications.
Research on multipath error detection model in forest based on Signal-to-noise ratio
Authors: Bian Xiaoyuan , Xu Zhijing 
Published: October 2024

Abstract
Vegetation obstruction in densely wooded regions induces multipath errors in receivers, challenging their positioning accuracy. This paper proposes a pseudorange multipath error detection model for single-frequency receivers in forests, leveraging signal-to-noise ratio (SNR) principles. By analyzing SNR and elevation in open areas, threshold ranges are established to detect multipath errors. Experiments in various forest settings show significant enhancements in single and combined system positioning accuracy, up to 29.4%, 21.9%, and 55.4% in eastward, northward, and upward directions respectively, underscoring the model’s effectiveness in mitigating multipath errors in forest environments.
Monitoring system for external force damage on power transmission lines integrated with millimeter-wave radar and visual surveillance
Authors: Li Mengxuan , Shi Jiangtao , Yang Zhi , Zhang Sihang , Tang Haitao , Zhang Guoqiang 
Published: October 2024

Abstract
This paper proposes a monitoring system for detecting external force damage on power transmission lines by integrating millimeter-wave radar and visual surveillance. The aim is to address key issues in current transmission line monitoring, such as high labor costs, low efficiency, and environmental susceptibility. By organically combining millimeter-wave radar and visual surveillance devices, the system achieves all-weather, real-time monitoring and early warning of potential threats such as large machinery around power transmission lines. The system employs an RK3399PRO microcontroller as the main control module, utilizes 24 GHz millimeter-wave radar for long-distance target detection, and employs a back-illuminated ultra-low-light camera for day and night all-weather monitoring. Moreover, the system software supports automatic target recognition, tracking, and warning, thereby improving monitoring efficiency and accuracy. Additionally, the system is powered by solar energy, demonstrating good environmental adaptability and cost-effectiveness. Through application in a 220 KV line in Daxing District, Beijing, it is demonstrated that this monitoring system effectively enhances the safety monitoring level of power transmission lines, providing robust assurance for the safe operation of transmission lines.
Sea surface target detection method based on spectrum split-peak and hurst exponent
Authors: Bi Xiaowen , Shu Qin , Xu Fangwei 
Published: October 2024

Abstract
The sea surface is complex and affected by numerous factors, including radar parameters and environmental circumstances. Therefore, target identification at sea poses a significant challenge for maritime radar detection. This paper proposes spectral peak segmentability by analyzing the characteristics of sea clutter and targets, which combines the spectral Hurst exponent as a feature for identifying targets under sea clutter. The spectral split-peak method, based on the scale-space representation, can effectively identify the number of peaks in the echo spectrum and provides a foundation for target detection under sea clutter. It also introduces a new feature for target identification and enhances the detection performance of sea surface targets by integrating spectral fractal features. Finally, the method is tested by using IPIX-measured data. The target range bins can be effectively detected, and the target signal can be accurately extracted, verifying the effectiveness of the method.
Research on improving the efficiency of wireless networking in the power system
Authors: Dai Hongguang , Chen Jinlei , Ni Yuanyuan , Chen Hui , Yu Yawei , Ji Xiaowei , Wu Lei 
Published: October 2024

Abstract
Considering the issue of slow station access speed leading to a subpar user experience in the current power wireless communication system, this paper proposes an initial networking scheme that enhances the speed of networking by broadcasting current networking frequency information on a designated public frequency point, avoiding sequential attempts at networking on multiple frequency points. Furthermore, the current wireless communication network utilized by the State Grid operates within the public frequency band, rendering it susceptible to co-channel interference, potentially resulting in network unavailability for some stations. Hence, this paper suggests a networking method in which the entered stations sequentially switch frequency points within the beacon/CSMA timeslots to search for potential stations and ultimately transition to a new frequency point suitable for all stations. The experimental results demonstrate that the network access time of the stations unaffected by co-channel interference is only 21.5% compared to the current sequentially detection network access scheme. The stations affected by co-channel interference can still achieve successful network access under the proposed solution, with a remarkable success rate of 100%, thereby effectively enhancing the networking success rate. In summary, the proposed scheme in this paper enhances networking efficiency by addressing both networking speed and success rate. In addition, through calculation and analysis, it is known that the complexity and power consumption associated with networking do not result in significant increments.
An optimized compression algorithm for distributed photovoltaic data
Authors: Shi Zhan , Liang Yutu 
Published: October 2024

Abstract
To realize the compression of data in distributed photovoltaic systems, this paper proposes a data compression algorithm that combines particle swarm optimization and multi-layer sparse autoencoder. Firstly, the particle swarm optimization algorithm was used to search the weights and thresholds globally to find the global optimal solution. Then, the weights and thresholds obtained in the previous step are used as inputs to the sparse autoencoder. Finally, the input data of the last hidden layer in the autoencoder is used as the compressed data, and the final compression result is obtained. Experiments show that the MSO algorithm is used to optimize the MSAE, and it has a good compression ratio for different types of photovoltaic data. And the compression ratio reaches up to 56%, which has a good data compression effect.
Effect of ultraviolet treatment on soft tissue healing and bacterial attachment to titania-coated zirconia
Authors: Tang Shuang , Zhang Jiebing , Ma Ping , Zhang Zutai 
Published: October 2024

Abstract
Zirconia is the most promising implant abutment material due to its excellent aesthetic effect, good biocompatibility and corrosion resistance. To obtain ideal soft tissue sealing, the implant abutment surface should facilitate cell adhesion and inhibit bacterial colonization. In this study, pre-sintered zirconia was placed in a suspension of titania (TiO2) and zirconium oxychloride (ZrOCl2) and heated in a water bath for dense sintering. A titania coating was prepared on the zirconia surface and subjected to UV irradiation. The surface morphology, elemental composition and chemical state of each group of samples were analyzed by scanning electron microscope, x-ray energy spectrometer, x-ray photoelectron spectroscopy and x-ray diffraction. The responses of human gingival fibroblasts (HGFs) and common oral pathogens Streptococcus mutans (S. mutans) and Porphyromonas gingivalis (P. gingivalis) to modified zirconia were systematically assessed. Our findings demonstrated that the surface of titania-coated zirconia after UV irradiation produced a large number of hydroxyl groups, and its hydrophilicity was significantly improved. Meanwhile, the UV irradiation also greatly removed the hydrocarbon contaminants on the surface of the titania-coated zirconia. The UV-treated titania coating significantly promoted the proliferation, spreading, and up-regulation of adhesion-related genes and proteins of HGFs. Furthermore, the titania coating irradiated with UV could reduce the adhesion, colonization and metabolic activity of S. mutans and P. gingivalis. Therefore, UV irradiation of titania-coated zirconia can promote the biological behavior of HGFs and exert a significant antibacterial effect, which has broad clinical application prospects for improving soft tissue integration around zirconia abutments.