bluuebunny/crossref_metadata_2025 huggingface dataset:
Insight into the negative magnetization and anomalous exchange-bias in DyFe5Al7 through neutron depolarization and neutron diffraction studies
Authors: Deepak  , Kumar A , Yusuf S M , Sampathkumaran E V
Published: November 2022

We have provided the mesoscopic and microscopic understandings of polarity reversal of the magnetization or negative magnetization (NM) below T
COMP = 93 K in an exotic magnetic material containing three magnetic sublattices, viz., DyFe5Al7 crystallizing in ThMn12 structure, using neutron depolarization and neutron diffraction techniques. A full recovery of the neutron beam polarization at the T
COMP in a neutron depolarization experiment reveals a total compensation of magnetization inside the magnetic domains in the sample. The temperature-dependent neutron diffraction study under zero magnetic field has provided temperature dependencies of antiparallelly coupled Dy (M
Dy(2a)) and Fe (M
Fe(8f) and M
Fe(8j)) sublattice magnetic moments along [100] direction. The dominance of |M
Dy(2a)| over total Fe moment,

M

Fe

total

=

4
∗

M

Fe
(
8
f
)

+

M

Fe
(
8
j
)

, below T
COMP leads to the NM in the compound. The magnetization versus magnetic field curves below the T
COMP indicate the presence of field-induced spin reorientation in the compound. The magnetic field required for spin reorientation (H
SR) is maximum at the lowest temperature and it decreases to zero as the temperature is increased to T
COMP. Interestingly, the compound shows a finite exchange-bias (H
EB) below the T
COMP only, as evident from the field-cooled hysteresis loops, while at T > T
COMP, H
EB is almost zero. The cooling-field (H
COOL) dependent study of H
EB shows a slope change at H
COOL ∼ H
SR indicating a correlation of exchange-bias with spin-reorientation in the compound. This study, apart from revealing microscopic understanding of magnetic behavior of an exotic three magnetic sublattice system, provides a correlation among exchange-bias, magnetic compensation, and spin-reorientation phenomena.
Spin-polarized hot electron transport versus spin pumping mediated by local heating
Authors: Beens M , de Mare K A , Duine R A , Koopmans B
Published: November 2022

A ‘toy model’—aimed at capturing the essential physics—is presented that jointly describes spin-polarized hot electron transport and spin pumping driven by local heating. These two processes both contribute to spin-current generation in laser-excited magnetic heterostructures. The model is used to compare the two contributions directly. The spin-polarized hot electron current is modeled as one generation of hot electrons with a spin-dependent excitation and relaxation scheme. Upon decay, the excess energy of the hot electrons is transferred to a thermalized electron bath. The elevated electron temperature leads to an increased rate of electron-magnon scattering processes and yields a local accumulation of spin. This process is dubbed as spin pumping by local heating. The built-up spin accumulation is effectively driven out of the ferromagnetic system by (interfacial) electron transport. Within our model, the injected spin current is dominated by the contribution resulting from spin pumping, while the hot electron spin current remains relatively small. We derive that this observation is related to the ratio between the Fermi temperature and Curie temperature, and we show what other fundamental parameters play a role.
Calculation method for deflection of the vertical based on path gravity anomaly compensation
Authors: Hao Shiwen , Zhang Zhili , Zhou Zhaofa , Xu Zhihao , Liang Zhe
Published: November 2022

To solverole inefficiency and complete autonomy issues for deflection of the vertical (DOV) determination in geomatics, navigation, and military weapon launching fields, a calculation method based on path compensation has been proposed. After conducting the discretization of the Vening-Meinesz formula in the spherical surface, a novel path gravity anomaly compensation based on the ‘remove–restore’ algorithm was formulated to satisfy the requirement of regional high-precision gravity anomaly data. Meanwhile, utilizing the European Improved Gravity model of Earth by New techniques (EIGEN-6c4), the DOV was calculated using the Vening-Meinesz formula based on the ‘remove–restore’ method, unlike the previous regional direct integral calculations. Finally, to verify the reliability and feasibility of the algorithm, the gravity measurement system, consisting of the high-precision gravimeter and strapdown inertial navigation system, was constructed to conduct the simulation and shipborne experiments. The simulation and experiment results of the proposed method show that the root mean squares, relative to the real values, of DOV calculation components, are 0.89″ and 1.67″, while standard deviation values of the DOV components are the same within 2″ in experiments, which satisfies the precision requirement of the DOV.
Bolt loosening angle detection based on binocular vision
Authors: Wang Shixu , Wu Jiang , Zhao Zheng , Du Yixin , Ding Shuiting , Du Farong
Published: November 2022

Bolt looseness detection is critical in preventing bolt connection failure. Compared to traditional sensor-based bolt looseness detection, image-based methods are low-cost and contactless and have thus become the highlight of research. However, current monocular vision-based detection methods are prone to error scaused by the camera perspective . In this paper, we present a novel bolt loosening angle detection method based on binocular vision. Key points on the bolt are detected and matched by SuperPoint Gauss network for 3D coordinates reconstruction and motion tracking. The bolt loosening angle is solved by fitting the rotation equation using random sample consensus. Experiments verify the proposed method performs well under different perspectives of camera and illumination conditions with an average error of 1.5°. Comparative test shows our method is superior to the monocular vision-based method in terms of accuracy when there is a large perspective angle. The proposed method is mark-free and robust to various working conditions, which makes it of great value for engineering application.
Sensitivity of structural and electronic properties of Li-ion battery cathode materials to Hubbard U correction: an efficient first-principle approach
Authors: Ziraki Sahar , Moaddeli Mohammad , Kanani Mansour , Hashemi Babak
Published: November 2022

A new material design approach using first-principles density functional theory (DFT) calculations with acceptable precision can elucidate many critical features in emerging high-performance lithium-ion battery fields. However, the dominant impact of transition metals (TM) as the major component and/or modification dopant element with localized d-electrons in this material system, which needs so-called Hubbard correction U, limits DFT to many extents. As the U correction is not completely transferable, one may need to recalculate it for the same input structure with structural or elemental changes. While the accurate calculation of U is costly, it is worth investigating its sensitivity to input system parameters, such as cell size, structure, and chemical composition, to dismiss unessential recalculations, especially in high-throughput schemes. Furthermore, implementing DFT + U to get the expected properties is computationally expensive too. The necessity of including the U correction for expected properties or its small variation should be investigated. In this study, Hubbard correction for TM using a density functional perturbation theory (DFPT) approach was considered to investigate the electronic structure and structural stability of LiNiO2, LiCoO2, and LiNi0.75Co0.167Al0.083O2. The effect of system parameters (cell size, structure, and chemical composition) on U values was considered for different systems. The dependency of calculated electronic densities of states, lattice parameters, preferred doping sites, and vacancy formation energy, as well as charge voltage, was investigated, and low and high sensitivities were discussed. Furthermore, the effect of different doping scenarios with Co and Al on structural stability was studied with the efficient DFT + U approach. The results showed that the structural variation due to doping and vacancy site formation has a negligible effect on calculated U values. Significant correlation of predicted electronic properties with U for all systems was observed, while calculated lattice parameters, as well as preferred doping sites, reflected very low dependency on U variations.
Simulating the impact of photoreceptor loss and inner retinal network changes on electrical activity of the retina
Authors: Ly Keith , Guo Tianruo , Tsai David , Muralidharan Madhuvanthi , Shivdasani Mohit N , Lovell Nigel H , Dokos Socrates
Published: November 2022

Objective. A major reason for poor visual outcomes provided by existing retinal prostheses is the limited knowledge of the impact of photoreceptor loss on retinal remodelling and its subsequent impact on neural responses to electrical stimulation. Computational network models of the neural retina assist in the understanding of normal retinal function but can be also useful for investigating diseased retinal responses to electrical stimulation. Approach. We developed and validated a biophysically detailed discrete neuronal network model of the retina in the software package NEURON. The model includes rod and cone photoreceptors, ON and OFF bipolar cell pathways, amacrine and horizontal cells and finally, ON and OFF retinal ganglion cells with detailed network connectivity and neural intrinsic properties. By accurately controlling the network parameters, we simulated the impact of varying levels of degeneration on retinal electrical function. Main results. Our model was able to reproduce characteristic monophasic and biphasic oscillatory patterns seen in ON and OFF neurons during retinal degeneration (RD). Oscillatory activity occurred at 3 Hz with partial photoreceptor loss and at 6 Hz when all photoreceptor input to the retina was removed. Oscillations were found to gradually weaken, then disappear when synapses and gap junctions were destroyed in the inner retina. Without requiring any changes to intrinsic cellular properties of individual inner retinal neurons, our results suggest that changes in connectivity alone were sufficient to give rise to neural oscillations during photoreceptor degeneration, and significant network connectivity destruction in the inner retina terminated the oscillations. Significance. Our results provide a platform for further understanding physiological retinal changes with progressive photoreceptor and inner RD. Furthermore, our model can be used to guide future stimulation strategies for retinal prostheses to benefit patients at different stages of disease progression, particularly in the early and mid-stages of RD.
Ultra long turbulent eddies, magnetic topology, and the triggering of internal transport barriers in tokamaks
Authors: Volčokas Arnas , Ball Justin , Brunner Stephan
Published: November 2022

Local nonlinear gyrokinetic simulations of tokamak plasmas demonstrate that turbulent eddies can extend along magnetic field lines for hundreds of poloidal turns when the magnetic shear is very small. By accurately modeling different field line topologies (e.g. low-order rational, almost rational, or irrational value of the safety factor), we show that the self-interaction of such ‘ultra long’ eddies can dramatically reduce heat transport. This extreme sensitivity of turbulent transport to the safety factor reveals novel strategies to improve confinement, constitutes experimentally testable predictions, and illuminates past observations of internal transport barriers.
Research and application of generator excitation overvoltage protection device tester
Authors: Su Dongliang , Qiu Tao , Yin Qihui
Published: November 2022

In order to solve the problems of complex operation steps, insufficient measurement accuracy and poor safety of the current generator excitation overvoltage protection device tester, the testing technology of generator excitation overvoltage protection device was deeply studied in this paper. Firstly, the overall architecture of the excitation overvoltage protection device tester was constructed. Secondly, it was designed from two aspects of software and hardware. Finally, combined with the actual application scenario, the developed tester was used to measure the action voltage and working voltage fluctuation range of the excitation overvoltage protection device. It was verified that the tester developed in this paper is simple to operate and the measurement results have high accuracy.
Analysis and Verification of Phase Current Detection Method of Permanent Magnet Synchronous Motor Based on Three Sampling Resistors Configuration
Authors: Zhu Ziwei , Cao Jiayong , Ma Qianli , Li Fazhe
Published: November 2022

In the permanent magnet synchronous motor (PMSM) control system, the phase current sampling unit is an important part of the whole motor control system. Traditionally, the hall-effect components are used to detecting the phase currents of the PMSM. However, the size of the hardware with Hall-effect components are often large. In this paper, a scheme of detecting the phase currents of PMSM by using three sampling resistors on the main circuit was discussed. In order to overcome the phenomenon that phase currents flow discontinuously across the three sampling resistors, a method for reconstructing the phase currents was proposed. Both simulation results and experimental results show that the phase currents can be reconstructed successfully and the high sampling accuracy can be obtained.
Experimental study on the ozonation of transformer oil in wastewater enhanced by hydrocyclone and cavitation
Authors: Qu Zihan , Cai Xuan , Zhang Ying , Zhang Chi , Wang Jing , Yu Danping
Published: November 2022

The treatment of transformer oil wastewater in the accident oil pond with ozone has no secondary pollution to the environment. The cavitation technique was used to enhance the oxygenation process and hydrocyclone separator to do the pretreatment. After transformer oil sewage enters the hydrocyclone, the separation efficiency reached up to 60%, which reduces the processing load of subsequent cavitation device. Through 10min cycle treatment of ozone in a cavitation device, the oil concentration of the imported wastewater was reduced from 50mg/L to below 5 mg/L, which has reached the Class-I discharge standard of industrial water. The optimal operation parameters of cavitation were studied by adjusting the inlet pipe gap and gas-liquid ratio of cavitation.
Assembly and dynamic operation simulation research of tooth-locked-output harmonic gear reducer
Authors: Ju Bin , Fan Yuanxun
Published: November 2022

Aiming at the special structure of the tooth-locked-output harmonic gear reducer, a simulation analysis method of ring shape flexspline based on ABAQUS is proposed in this paper. In the process of simulating assembly, this paper proposes a new method of “interference assembly first and then interference elimination”;In the process of simulating dynamic operation, this paper uses the “Continuum Distributing” coupling function to solve the difficult problem of setting the boundary conditions of the ring shape flexspline, and completes the data transfer between the two analysis processes. The research shows that the method proposed in this paper effectively reduces the difficulty of the ring shape flexspline simulation analysis, and reduces the cost and time for subsequent research.
Uncertainty measurement and research of Finite element analysis of Water Jet data based on Internet of Things
Authors: Wang Changhu , Meng Weiyun , Wang Jianxiang , Min Xiangmei
Published: November 2022

Nowadays, the concept of energy saving and water saving is deeply rooted in people’s minds, so it is necessary to promote efficient water-saving irrigation technology. Sprinkler irrigation is an efficient water-saving method, which is relatively uniform and does not affect the structure of the soil. It saves time and labor to irrigate fields, and has been used in more and more areas in China. The Internet of things technology is used to establish monitoring sites, collect and transmit water information, study and analyze crop fertilization and irrigation water volume, and achieve the purpose of saving water, fertilizer and labor. In test site traffic and sprinkler relationship between speed and pressure test, flow and in different pressure conditions were measured under different conditions of running speed, observe the fluid flows through the three links of pipe head loss and energy loss of the tee to the role of the internal pressure and axial force and other force, high stress concentration areas vulnerable to damage. The hydraulic characteristics in the process of water spraying are studied. The numerical simulation in this paper is completed by finite element software, and the hydraulic characteristics of the three-way pipe are analyzed by finite element to optimize the structure of the three-way pipe.
Energy consumption analysis of intelligent temperature control steaming process of new concrete prestressed pipe piles
Authors: Zhang DongMin , Xu YinCang , Huang PengLiang
Published: November 2022

The traditional steam maintenance process of concrete prestressed pipe piles adopts steam maintenance, and the energy utilization rate is not high due to the inaccurate temperature automatic control system in the steaming pool and the serious loss of steam during the steaming process. In order to effectively ensure the strength and durability of concrete pre-products, shorten the production cycle at the same time, realize the automation of the steam pond temperature control system, the new maintenance process in the traditional maintenance process by manual temperature adjustment on the basis of intelligent control of temperature, thereby improving the accuracy of the steam pool temperature control system. In order to improve the energy utilization rate of the traditional steaming process of concrete prestressed pipe piles, the new concrete pipe pile maintenance process uses recycled water to maintain it, which has a certain energy-saving effect relative to the traditional steam maintenance, and calculates the energy consumption of the new steaming process and the energy consumption of the current steaming process of the enterprise to determine its energy saving.
Intelligent 3D Visual defect Detection for Industrial Applications
Authors: Yang Rui , Ke Hualin , Gan Lin , Li Yuhong , Hu Ruihan
Published: November 2022

Currently, new energy industries such as electric vehicles and energy storage batteries are experiencing rapid growth throughout the world. As a recognized ideal energy storage element, lithium batteries have also attracted considerable interest. To improve image contrast, the industry employs image preprocessing algorithms. Due to the high requirement of image consistency in the template matching method, which is difficult to meet in practice, and the large apparent difference between defects, it is challenging to design features. Therefore, the framework for defect detection is based on a method of deep learning with strong feature expression capability. In light of the severe imbalance in the number of samples in defect detection, data augmentation and generation methods are used to simulate real samples in order to improve the training effect of deep neural networks and alleviate the burden of data annotation to some extent.
Structural Strength Analysis and Stress Testing of Portal Crane based on Finite Element Method
Authors: Chen Min , He Shan
Published: November 2022

In order to ensure the safety of the long-term service shipbuilding portal crane, this paper analyzes the stress distribution of the crane metal structure by using the finite element analysis method, which plays an auxiliary role in the crane safety assessment. The working condition at the most dangerous working position of the crane is selected as the stress test condition for analysis, and compared with the simulation calculation. The finite element calculation results show that the stress distribution of the whole machine is relatively reasonable. The overall stress is basically less than 100 MPa, and the maximum stress value is 131 MPa, which is less than the allowable stress value of the material. And through the comparison with the actual stress testing data, they are also basically consistent, and the structure of the crane can be used safely.
Design of cable pipeline fault location device based on dynamic laser scanning
Authors: Li Zhongxing , Zhang Caihong , Huang Guojian , Ma Haixia
Published: November 2022

Aiming at the problem that some of the spare power cable pipelines without cable are damaged, and there is no effective detection equipment to detect the blocked state of the pipeline. This paper proposed a dynamic laser scanning method for obstacles in the pipeline, and designed a power pipeline fault positioning device. The infrared laser ranging technology based on time-of-flight is used to dynamically detect the distance between obstacles in the pipeline and the laser sensor, so as to detect the status and location of pipeline blockage. Taking ARM microcontroller as the core, equipped with VL53L0X laser module, the hardware design of the device was completed, and the software program was completed based on the Keil μVision5 IDE environment. The measurement and error analysis of obstacles of two different materials are carried out. The results show that the longer the measurement distance, the larger the error, and the highest measurement error is 1.47%, which fully meets the needs of engineering measurement.
Online Quartz Crystal Microbalance Analyzing Device of Mass Concentration of Formaldehyde Gas Based On FPGA
Authors: Chen Gangxin , Qiu Jian , Peng Li , Han Peng , Luo Kaiqing , Liu Dongmei
Published: November 2022

As one of the main indoor gas pollutants, formaldehyde gas (HCHO) seriously threatens human health and ranks second among toxic chemicals in China. In order to monitor the concentration of formaldehyde in the environment in real time, an online Quartz Crystal Microbalance (QCM) analyzing device based on FPGA is developed in this paper. This device is composed of QCM sensor module and FPGA signal processor. Firstly, graphene oxide film is prepared on QCM chip to adsorb formaldehyde, which causes the change of resonance frequency. Secondly, to monitor the quality of adsorbed formaldehyde through frequency change, FPGA signal processor is mainly integrated with Direct Digital Synthesis module, Analogue-to-Digital Conversion module, Low-Pass Filter module and Frequency Domain Analysis module. These modules have the characteristics of high speed, low power consumption and parallel processing, which provide the best solution for the online implementation of the analyzing device. Finally, the standard gas experiment shows that the device is feasible and reliable for the analysis of formaldehyde gas mass concentration, with a resolution of about 10 counts per 1% concentration.
Low temperature characteristics of FBG with free arc shape for low temperature monitoring
Authors: Lu Huanlang , Zhang Shuai , Yao Yunshuai , Yan Yukun , Lin Zecong , Zhu Pingyu
Published: November 2022

It is important to monitor the iced condition for operating wind turbine blades. However, most sensors are difficult to be used in this quite cold and lightweight environment. Although the fiber bragg grating (FBG) is a good candidate for the case. With the change of the temperature, the thermal expansion coefficient and thermo-optical coeffecient of FBG material will affect the accuracy of characteristics of FBG sensor. Aiming at the application of fiber optic sensor in low temperature environment and ultrathin requirement, the low temperature characteristics of FBG sensor with free arc shape package has been studied. The low temperature calibration experiments of two packaged FBG samples are tested from -35°C ~20°C in a constant temperature freezer with alcohol tank. The effects of low temperature characteristics of two FBGs packaged with free straight and arc shape tubes are compared. The results show that arc shape can effectively reduce the repeatability error and improve its accuracy due to providing possible low temperature contracting of the optical fibers. Flat arc shape makes it possible to package ultrathin FBG temperature sensor.
Structural Deformation Reconstruction of Polymer Distributed Optical Fiber Sensing Tape Based on Ko Theory
Authors: Cheng Jianming , Lu Huanlang , Xie Fumin , Zhu Pingyu
Published: November 2022

The progress of material technology makes the structural deformation of composites more complex and more difficult to monitor. The distributed optical fiber sensor has a wide monitoring range and can continuously obtain the strain data of the structure in space for structural deformation reconstruction. In this paper, the optical frequency domain reflectometer (OFDR) and distributed optical fiber sensor are used as measurement tools to design the deformation reconstruction experiment of a cantilever beam with constant cross section. Based on the Ko theory, the strain signals collected by the distributed optical fiber sensors are converted into displacement signals, and the deformation reconstruction of the cantilever beam is carried out, and then compared and analyzed with the actual measured values. The experiment verifies the effectiveness of using distributed fiber optic sensors for cantilever beam bending deformation based on Ko theory, which provides a favorable reference for structural health monitoring.
Research on Integrated Control Strategy of Reactive Power and Voltage for Distributed Generation
Authors: Guo Xirong
Published: November 2022

The access of distributed photovoltaic power sources will change the power flow distribution in the distribution network. When the line load is light and the photovoltaic access capacity is large, the distribution network will become a multi-source network, which will cause the reverse flow of the line, increase the line voltage, and affect the power quality of the distribution network. Aiming at this problem, this paper studies the voltage control strategy after photovoltaic grid-connected, and proposes a four-level reactive voltage control strategy to solve the voltage problem when photovoltaic large-scale grid-connected. Finally, the method is verified by an example.
Research on Time Sidelobe Analysis on Pulse Compression Signal
Authors: Wang Bocheng , Chen Xiaolong , Li Yue , Zhou Qinshan , Li Yifan
Published: November 2022

As a measuring instrument, the signal analyzer is widely used in communication, microwave, aviation and other fields. It can not only measure the quality of the input signal, but also quickly demodulate the measured signal to obtain the information contained in the signal. In this paper, a method of pulse compression time sidelobe analysis applied to the signal analyzer is proposed to analyze and test the pulse measurement signal. First, the correlation between the pulse measurement signal and the pulse reference signal is processed by pulse compression. Secondly, the sidelobe suppression analysis is carried out by using the window function method for the reference signal. Finally, according to the pulse compression correlation amplitude results, the main side lobes are separated, and the time side lobes are further analyzed and the corresponding parameters are calculated. The simulation results show that the root mean square error of parameter calculation is less than 5%, which meets the standard of signal analyzer for pulse compression time sidelobe analysis.
Research on BSR evaluation method and positioning technology of battery module based on experimental bench
Authors: Huang Yingling , Zhang Bo , Zhao Kelun
Published: November 2022

A battery module was taken as the research object, and the BSR test of the module was carried out based on the silent vibration table, and the BSR evaluation of the module was realized through the combination of subjective and objective mode. In order to achieve the accurate positioning of the abnormal noise of the module, the frequency point of the abnormal sound is locked based on the relative approach technology, and the playback and confirmation of the abnormal noise of the module is carried out based on the filter playback technology. Finally, acoustic imaging is used to locate the abnormal noise of the module. The research results show that the evaluation of BSR needs to be combined objectively and subjectively, and the rapid identification and location of abnormal noise of battery modules is realized by combining relative approach technology, filter playback technology and acoustic imaging technology.
Reliability evaluation methods for unmanned aircraft systems with multi-rotors
Authors: Cai Ming-Xi , Wu He-Long , Yang Jian-Feng
Published: November 2022

According to the characteristics of unmanned aircraft systems (UASs) with multi-rotors, this paper realizes the reliability evaluation. Referring to the relevant standards and specifications for reliability evaluation of electronic products and communication products, the methods of sampling, test plan, test conditions and index evaluation related to reliability evaluation of Referring to are proposed. Based on the exponential distribution, the reliability index and its calculation method are put forward, and the evaluation method for non-failure data is also studied. The method is applied and the reliability level of UASs with multi-rotors is obtained. This method meets the actual market demand and provides a practical method for UASs reliability evaluation.
Intelligent defect detection for Power Patrol Inspection
Authors: Huang Chuangmian , Lin Riguang , Wu Lihao
Published: November 2022

In this paper, the insulator string images captured by Using unmanned aerial vehicles (UAVs) in the power inspection are taken as the research object. The image processing and deep learning methods are used to label the images, and the self-explosion fault of the identified and segmented insulator strings is identified and located.

In the process of semantic segmentation of insulator string images, the given image data set is enhanced, and images are exchanged with image processing algorithms. Based on SegNet, each pixel in the picture is classified, and then the self-encoding is used for reference, and the image is first encoded and then decoded. The coding layer before the model uses the VGG-16 network to extract smaller pictures, so as to meet the requirements of semantic segmentation, and the decoding layer after the model obtains the classification probability value of each point and classifies each point. The experimental results show that the SegNet algorithm can realize the recognition and segmentation of insulator string images under complex conditions with high accuracy.

In order to realize the identification and location of the self-exploding fault position of the insulator string, the training model can be used to detect the position of the self-exploding insulator in the image. First, the data of target detection is preprocessed, and then the data set transformation method of rotation transformation and image mirroring is used; then the SSD model is selected to identify and locate the self-explosion position of the insulator. The SSD model combines the advantages of the Faster R-CNN model and the YOLO model. It runs faster and has higher detection accuracy, which meets practical applications. The experimental results show that the SSD algorithm is more targeted to the insulator data set, and can improve the speed and accuracy of insulator identification and positioning.
The Application of Deep Learning on Room Temperature Conductivity of Li10GeP2S12 Type Solid State Electrolyte
Authors: Peng Jie , Du Jianwen , Wang Liping
Published: November 2022

Room temperature ionic conductivity of the solid-state electrolyte is the essencial element of the commercialization of solid-state lithium-ion batteries. First-principles method is a good tool as it simulates the atomic level dynamics, and provides accurate insides of the ion moving velocity, path, and the microscopic environment. However, the first-principles method is time and computational resources-consuming. It is usually applied to systems with hundreds of atoms and the simulation time is less than 100 picoseconds. The classical molecular dynamics method applies to systems containing thousands of atoms and the simulation time can reach the scale of nanoseconds. However, it is based on the experimental force-field parameters and can only be applied to limited systems with experimentally-proofed good parameters. The method used in this paper is a combination of the first-principles simulation and classical dynamics. Deep-learning tool Deepmd-kit is used to train the first-principles simulation data of the targeted system into a tailor-made force-field model. The verified model for the specific system will then be used in the classical molecular dynamics simulation. With the first-principles precise and classical efficiency, the molecular dynamics simulation of ion movement at room temperature is achieved. The results of Li10GeP2S12 and Li10SiP2S12 showed good agreement with the experiments.
Silica nanofillers-reinforced polyimide composites for mechanical, thermal, and electrical insulation applications and recommendations: a review
Authors: Ogbonna V E , Popoola A P I , Popoola O M
Published: November 2022

Owing to the specific properties of polyimide, its nanocomposites have in recent years shown to be a promising polymer composite for mechanical, thermal, and electrical insulation applications. Studies have in many ways revealed the utilization of the polyimide reinforced nanofillers in the area of insulation practice be it thermal or electrical insulation. However, reinforced polyimide nanocomposites were observed to undergo interfacial bonding issues that have badly influenced their insulation behaviour during service. Dielectric properties and electrical discharge (corona discharge) resistance lifespan of polyimide composites are found degrading during long periods of exposure to elevated temperature conditions. Notwithstanding, efforts have been made on improving the electrical and thermal insulation behaviour of polyimide nanocomposites. As such, the current review study focused on the influence of silica nanoparticles on the thermal, electrical, and mechanical characteristics of polyimide matrix composites for insulation practice and applications. Thus, the vision of the authors is to contribute to the future trend of designing and processing polyimide nanocomposites for insulation applications. Thus, the authors ended the article with furtherance, challenges, and recommendations of further enhancement of polyimide nanocomposites as a candidate material for insulation (electrical and thermal). Hence, the study will pave the way for future studies.
Study of parameters influencing the compressive strength of Compressed Earth Blocks
Authors: Mango-Itulamya Lavie Arsène , Fagel Nathalie
Published: November 2022

This work aims to study four parameters that influence the compressive strength of compressed earth blocks (CEB): clay mineralogy, grain size, formatting pressure, and water content. Five soils with different mineralogical composition were used to study the first parameter. 12.5, 25, 40 and 60% of aggregates sized 0/2, 0/4 and 0/6.3 mm were added to the soil to study the second parameter. CEB were compacted at 100, 200 and 300 kN to study the third parameter. 3, 6 and 10% of water were used to study the fourth parameter. Test specimens were produced using a hydraulic press and characterized by compression. The characterization of the specimens shows that the compressive strength increases with the smectite content. Compressive strength does not always increase with changing particle size. Compressive strength increases with increasing formatting pressure, while increasing water content decreases compressive strength. This study also shows that the compressive strength of CEB is improved differently for each soil type.
Boriding kinetics and mechanical properties of X65Cr14 martensitic stainless steel by pack method
Authors: Zong Xiaoming , Xia Renshan , Zhang Yongxing , Zhang Yanan , Zhu Qiusheng
Published: November 2022

In this task, some mechanical properties and diffusion kinetics of boronized layers on X65Cr14 martensitic stainless steel were investigated. The boronization treatments were carried out at 1123, 1173, 1223 and 1323 K with 2, 4, 6 and 8 hours using the packing process. The boronized layers were characterized by optical microscopy, X-ray diffraction, and micro-Vickers hardness tester. The boronized layers produced on X65Cr14 martensitic stainless steel exhibited smooth and regular morphology. The thickness of the boronized layer ranged from 9.1 to 98.3 μm with different treatment time and temperature. XRD analysis revealed the existence of FeB, Fe2B, and CrB compounds. The surface hardness increased from 410 to 1750-2050 HV0.05 after the boronization treatment. The activation energy of the layer was 206.53 kJ/mol.
Smart optical measurement probe for autonomously detecting nano-defects on bare semiconductor wafer surface: highly sensitive observation system using phase-contrast microscopy with a spatial light modulator
Authors: Guan Yizhao , Masui Shuzo , Kadoya Shotaro , Michihata Masaki , Takahashi Satoru
Published: November 2022

Nowadays, the yield rate of semiconductor process is strongly affected even by nanoscale defects on bare Si wafer surfaces. Therefore, a non-destructive and high-speed method for detection of nanoparticle contamination is highly demanded. In this research, a nanoparticle detection method is proposed based on the fact that the volatilization process of the volatile inert liquid behaves as an autonomous nanoparticle search probe. Dynamic phase contrast microscopy (Dynamic PCM) is proposed to detect small thickness changes of a thin liquid film with high sensitivity. The dynamic PCM is expected to have double sensitivity compared to normal PCM and it is experimentally verified. Based on previous results, 4% intensity change is expected for 10 nm particles and even over 1.5% intensity change is expected for 5 nm particles by using this proposed dynamic PCM.
A thin-film waveguide problem with positive Kerr nonlinearity and its TM standing wave solution
Authors: Nyamsuren O , Ochirbat G
Published: November 2022

In the previous work [1], we applied the scattering-type TM standing wave solution to a slab waveguide with negative Kerr nonlinearity. In this work, we analyzed a waveguide problem with positive Kerr nonlinearity. In our formalism, fields are expressed through the value of a dielectric function and a constant of non-flow integral of motion. We formulated the necessary boundary condition for both boundaries with no reference to a film thickness. The condition binds a dielectric function to have two equal or two different values at boundaries leading to the existence of symmetrically and asymmetrically fit wave pieces. Families of such standing wave solutions were constructed. The satisfactory boundary condition is implemented when we start to apply a film thickness to family data. The family of symmetrically fit wave pieces turned out to have a relatively complex structure due to two singularities in a dielectric function and three regions had to be analyzed separately. To look for matches within the data we presented two simple criteria that completely define the length-form and the number of standing wave solutions within a film. Afterward, a calculation of fitted solutions is straightforward.
Effect of different microstructural design on properties for quenching and partitioning steel with tensile strength of 980MPa
Authors: Hu Zhiping , Gu Xingli , Liu Rendong , Lin Li
Published: November 2022

Three different quenching and partitioning processes (Q&P) processes were applied to a commercial Q&P steel. Three different microstructural constitutes were designed to achieve the strength level of 980MPa. Consequently, various yield strengths, ductility and hole expansion rates were attained, and indicated that different microstructural constitutes contributed to the various performances. An optimized microstructural constitute design (composed of ferrite, tempered martensite, bainite and retained austenite) was proposed, which would contribute to an excellent mechanical combination of yield strength, ductility and hole expansion rate.
An optimum retained austenite design from bainitic matrix for a novel Q&P steel
Authors: Lin Chunqing , Hu Zhiping , Meng Fanzhi , Liu Rendong , Jiang Ruiting
Published: November 2022

The commercial steel was processed by three different Q&P heat treatments and three kinds of steels with different microstructures and mechanical properties were obtained. Among them, two steel samples contain bainite and ferrite matrix, fresh martensite and retained austenite, while the other possesses tempered martensite and ferrite matrix, fresh martensite and retained austenite. Comparing the content of retained austenite in these samples, the highest volume fraction was obtained in the sample with bainite matrix and a higher partitioning temperature. The mechanical property result shows that the yield strength for three steel samples had little difference, but their elongations were quite different. The steel with most retained austenite exhibits a good combination of yield strength and ductility.
Test verification of emergency separation fuse pins for aircraft engines
Authors: Chen Chi , Zhang Pengfei , Xue Caijun
Published: November 2022

An equivalent method from dynamic load to static load using the aircraft full finite element model based on the structure energy theory is proposed to solve the problem that fuse pin structures cannot be precisely designed under dynamic impact loading. Two groups of material and structure test are performed to verify the strength and failure mode of the structures with dynamic load and equivalent static load. The experimental and analytical results indicate that the sized structure based on equivalent load can be accurately destroyed, the failure mode is similar to the dynamic group’s strength and failure mode. This method provides theoretical and methodological basis for structural with precise strength as the design goal.
Controllable Potassium Iodide-Assisted Preparation of Two-dimensional SnS2 for Hydrogen Evolution Reaction
Authors: Yang Qi. Chao. , Wang Jun. Qi. , Li Ke. Yan. , Qi Jun. Jie.
Published: November 2022

The controllable preparation of Two-dimensional transition metal chalcogenides (TMDCs) is very important. However, the uncontrollable growth of SnS2 by chemical vapor deposition (CVD) and the unsatisfactory performance of hydrogen evolution reaction (HER) based on SnS2 have hindered its applications. Herein, we reported the direct synthesis of high-quality 1T-SnS2 with various morphologies via potassium iodide-assisted CVD. On the basis of CVD technology, We have developed process technology to grow different shapes of SnS2 from dot line to fishbone controlled by growth conditions. The growth mechanism of SnS2 was studied, and their HER performance with different morphologies of SnS2 was investigated. The growth trend of 2D SnS2 provides a reference for the controllable preparation of TMDCs materials. These results demonstrate that TMDCs can adjust the performance of HER through shape control.
A Novel High Holding Voltage ESD device based on SCR and SiGe
Authors: Liu Jing , Liu Huiting , Fan Yuansong , Zhao Yan , Liu Chun
Published: November 2022

As a kind of efficient electrostatic protection device, SCR has been extensively used in on-chip electrostatic discharge protection for its strong current discharge ability and favorable internal radiating heat characteristic [1-7]. But there are low holding voltage and easy latch up happening two restrictions. A novel high-holding voltage ESD device based on SCR and SiGe is proposed in this paper. By introducing Ge composition in the P + region in the N-well of ordinary SCR, the holding voltage of the device is enhanced for that the current gain of the PNP parasitic transistor is reduced then the conductivity modulation is inhibited. The simulation results based on TCAD indicate that when Ge percentage composition is 30%, the holding voltage of new SCR with SiGe P+ region promotes four times from 2.06V to 10.32V. Therefore, there is no enlarging of the layout area of the novel structure when promoting the holding voltage and enhancing the anti-latch ability of SCR.
Exploration and Analysis of the Application of “1+1” UPS Redundant Power Supply in a Large Science and Technology Park in Beijing
Authors: Zhou Dongpeng , Yang Hongjun , Qu Di
Published: November 2022

Based on the actual test of the “1+1” UPS redundancy system, the causes of some abnormal data are analysed. Subsequently for the purpose of avoiding these abnormalities and improving power supply reliability, the key points are described. The park should pay attention to when to apply the “1+1” UPS redundancy system.
Influence of Eu doping on the electric properties of perovskite iridate Sr2-x
Eu
x
IrO4
Authors: Liu Hui , Xiong Yanfei , Shi Wei , Zu Hao
Published: November 2022

Here, we report the evolution of the physical properties of Eu-doped polycrystalline perovskite iridates Sr2-x
Eu
x
IrO4 (x=0, 0.02, 0.04, 0.06). It is found that substituting Eu3+ for Sr2+ retains the I41/acd crystal structure but causes rotation of IrO6-octahedra decreases so that the bond angle of Ir-O1-Ir increases. The SEM micrographs indicate that the average grain size decreases, while the grain size distribution increases with doping. Compared with the resistivity of the parent material, all the doped materials show an increase, which can be further verified by the slight increase of band gap obtained from ultraviolet-visible absorption spectra. Furthermore, Eu doping makes the dielectric constant increases and thus the ability of electrical conduction decreases. All the physical properties of the compounds rely heavily on the parameters of their crystal structure, φ
Oct and c/a, implying spin-lattice coupling makes an important contribution to the electric behaviors.
Factorization Method of the Elliptic Curve
Authors: Zhang Qirui
Published: November 2022

The elliptic curve is an important topic in number theory. In 1987, Lenstra discovered the elliptic-curve factorization method (ECM). [4] Nevertheless, until now, no research can have complete detailed codes in Wolfram Mathematica. This article will state the definition of the elliptic curve, analyze this ECM algorithm, and build a complete code s in Mathematica. Finally, completed factorization for 1820099 by experiment, which can prove that the code can complete ECM, but it may take much time to calculate.