bluuebunny/crossref_metadata_2025 huggingface dataset:
IceCube Search for Galactic Neutrino Sources based on Very High Energy γ-ray Observations
Authors: Kheirandish Ali
Published: May 2021

Galactic cosmic rays reach energies of at least several PeV, and their interactions should generate γ-rays and neutrinos from decay of secondary pions. Therefore, Galactic sources have a guaranteed contribution to the total high-energy cosmic neutrino flux observed by IceCube. Assuming that the highest energy γ-rays are pionic, promising neutrino source candidates have been identified based on their spectra, and observing them is likely over the lifetime of the IceCube experiment. Here, we present the search for Galactic sources of high-energy cosmic neutrinos by focusing on sources identified by HAWC’s very high energy γ-ray survey.
Atmospheric transparency at TA site using Central Laser Facility
Authors: Tomida T. , Uehama T. , Yamazaki K. , Udo S.
Published: May 2021

The Telescope Array (TA) experiment has three fluorescence detector (FD) stations to measure fluorescence light emitted from extensive air showers, especially produced by Ultra High Energy Cosmic Rays(UHECRs). These fluorescence light is attenuated and decreased by aerosols in the atmosphere during their propagation to the FD. Measuring and calibrating the atmospheric attenuation is necessary to estimate energy of primary cosmic rays. The central Laser Facility (CLF) consists of a laser of wavelength of 355 nm, and emits beam vertically with 10 Hz, every half-hour. The atmospheric transparency in terms of the Vertical Atmospheric Optical Depth (VAOD) is measured with the CLF every 30 minutes during FD observation. The CLF is located at the center of three FD stations and observes the atmospheric transparency of the TA site. We calculated VAOD
τAS(5km) at the BR station using 1853 events of the CLF laser from January 2012 to September 2016. We found that the median of VAOD at 5 km height from the ground is

0.043

−
0.015

+
0.025

. We also found a seasonal variation of VAOD using the same data.
Study of Charged-Current neutrino interactions on water with nuclear emulsion in the NINJA experiment
Authors: Hiramoto A. , Suzuki Y. , Fukuda T. , Nakaya T.
Published: May 2021

Neutrino-nucleus interaction is one of the major sources of the uncertainty for neutrino oscillation experiments. The NINJA experiment aims to measure neutrino-water interactions containing low-momentum secondary particles using a nuclear emulsion detector. Since the nuclear emulsion has sub-micron position resolution, it allows us to observe the interaction vertices clearly. Short proton tracks down to 200 MeV/c momentum are expected to be observed, which are hardly reconstructed in plastic scintillator based detectors. A series of test experiments has been carried out with prototype detectors at J-PARC. In a test run in 2017-2018, a 3 kg water target detector was exposed to anti-neutrino beam corresponding to 0.7 × 1021 POT (protons on target). We have successfully detected low momentum protons above 200 MeV/c threshold from neutrino-water interactions.
Status of standard oscillation physics with IceCube DeepCore
Authors: Yanez J. P.
Published: May 2021

The IceCube neutrino observatory is a cubic km neutrino telescope located at the geographic South Pole. DeepCore is an infill array within IceCube that enables the detection of atmospheric neutrinos with energies as low as 5 GeV. These lower energy atmospheric neutrinos make it possible to study a broad range of particle physics including the measurement of standard neutrino oscillations. In this talk I discuss the recent oscillation results from IceCube DeepCore and go over the future prospects of oscillation physics with this detector.
Background analysis for the SNO+ experiment
Authors: Lozza V.
Published: May 2021

SNO+ is a large multi-purpose liquid scintillator based experiment, with the main physics goal of searching for the neutrinoless double-beta decay of 130Te. The first of the three SNO+ phases started in May 2017, with the detector filled with ultra-pure water. The deep underground location (6000 m.w.e.) and the low background levels allowed new physics searches, together with the measurement of the 8B solar neutrino flux in the 5-15 MeV energy range. Recently, SNO+ has began the transition to the scintillator phase. The double-beta decay phase is expected to start in early 2020, when the ultra-pure liquid scintillator will be loaded with 3.9 tonnes of natural tellurium, for a half-life sensitivity larger than 2×1026 years in 5 years of data taking. This article focuses on the low background measurement of the initial water phase.
Astroparticle Physics in Hyper-Kamiokande
Authors: Yano Takatomi
Published: May 2021

Hyper-Kamiokande (Hyper-K) is a proposed next generation neutrino experiment, aiming at the measurement which starts at 2027. Hyper-K project includes a high intensity accelerator neutrino beamline at J-PARC and large water Cherenkov far detectors. Each detector will provide the fiducial volume of 0.19 Mt ultra-pure water. Due to its world-largest water volume, superior performance of the new photodetector and the location at deep underground, Hyper-K will also have great capability for neutrino astrophysics and push back the frontiers. Here, the Hyper-K’s detector performance for MeV neutrinos will be shown. Then the issues for neutrino astrophysics and our reach will be discussed, i.e., for solar neutrino, supernova burst neutrino and supernova relic neutrino observations.
Bi-probability plots and PMNS compatibility studies with the T2K experiment
Authors: Sztuc Artur
Published: May 2021

Bi-probability plots are a way of displaying the expected P(vμ
→ ve
) and

P
(

v
¯

μ

→

v
¯

e

)

for long baseline neutrino experiments. They provide an easy visualisation of how δCP
and mass hierarchy affect neutrino probabilities, and allow theorists to easily compare their theory predictions to experimental data fit results. We present the electron (anti)neutrino appearance bi-probability plots from the most recent T2K data fit. We also present bi-probability plots from fits with an extra parameter, β, that allows the fit additional freedom compared to the PMNS model and tests the compatibility of the T2K data with the PMNS model.
Classification of Super-Kamiokande atmospheric neutrino events by using neural network
Authors: Matsumoto Ryo , Ishitsuka Masaki
Published: May 2021

We present a new event classification method based on neural network for multi-GeV multi-ring samples from Super-Kamiokande (SK) atmospheric neutrino observation. Identifications of neutrino flavors are more difficult for multi-ring events due to several hadrons generated in deep inelastic scattering. We employed neural network to optimize the classification from a combination of observed variables. Compared with the conventional method, significant improvements of the ve
selection efficiency is confirmed with the comparable misidentification probabilities. Sensitivity to neutrino mass hierarchy can be improved with more statistics of ve
samples.
CUPID: CUORE Upgrade with Particle IDentification
Authors: Pavan Maura
Published: May 2021

CUPID is a next generation Double Beta Decay experiment based on scintillating bolometers. The already developed CUORE infrastructure will become the site in which the new detector will be installed. The technology, successfully tested in Laboratory Nazionali del Gran Sasso by CUPID-0 and in Laboratoire Souterrain de Modane by CUPID-Mo, will provide the rejection capability that allows to reduce the background by two orders of magnitude with respect to CUORE one. This result will be achieved using enriched Li2MoO4 scintillating bolometers for the study of the 100Mo isotope. The estimated discover sensitivity of CUPID for the effective neutrino Majorana mass is of the order of 20 meV .
The research on amorphous coatings for future GW detectors
Authors: Piergiovanni F
Published: May 2021

The high mechanical losses of the multilayer reflecting coating deposited on the mirror surface account for the main contribution to the thermal noise, limiting the sensitivity in the mid-frequency region of the detection band of the future gravitational waves detectors. Several European laboratories of the Virgo Collaboration have joined their efforts to improve the coating mechanical performances. The research lines of this collaboration are all focused on amorphous coatings, which represent a viable solution for the future GW detector generations. The main target is to find a way to reduce by a factor three the mechanical losses of the coating for the next generation of room temperature operating detectors. Some activities are also meant to be relevant for cryogenic operations. The status of this collaborative work will be described as well as the latest results of the different research lines.
Low radioactivity argon for dark matter and rare event searches
Authors: Bonivento Walter M.
Published: May 2021

We describe in this proceeding the status of procurement, purification and test procedures of argon depleted in 39Ar for dark matter searches with the DarkSide-20k experiment.
Research on Lane-level Travel Time Prediction Method Based on Gated Recurrent Neural Network
Authors: Zhang Shupeng , Guan Deyong , Liu Haiqing
Published: May 2021

In order to meet the needs of refined traffic guidance in the environment of the Internet of Vehicles, a lane-level travel time prediction method based on Gated Recurrent Neural Network is proposed. The research is based on the vehicle information collected by electronic police equipment, and analyzes and integrates the trip time of a single vehicle as model input; builds a gated recurrent unit(GRU) model deep learning framework, and performs multiple iterations through deviation correction and parameter update; The vehicle travel time data is verified and compared with the ARIMA model, BPNN model and LSTM model. The results show that the MAE and RMSE values of the GRU model are lower than other models, so it has good prediction accuracy.
Learn to Speak Like A Native: AI-powered Chatbot Simulating Natural Conversation for Language Tutoring
Authors: Tu Jianhong
Published: May 2021

In a globalizing world, the demand for acquiring a new language is expanding at a fast pace. However, language learners who have little opportunity to use the targeted language in their daily life are unable to increase their familiarity with the language given that contextual conversation is proven helpful in language acquisition. The current study dedicates to address this problem by proposing a language learning chatbot with which one can practice in a simulated setting. The chatbot is based on the deep neural network and is trained by MultiWOZ and personaChat collected in previous works. One chatbot structure is proposed to optimize the performance of the DNN chatbot. In comparison with the conventional chatbot, the new structure features a higher accuracy rate of generating appropriate utterance and suffers less from overfitting. Both machine and human evaluation show that the chatbot is able to produce transactional conversations that cover multiple domains of daily life conversations and incorporates a large vocabulary base as well as diverse sentence structures, which are beneficial for students.
Temperature dependence of the luminescence of powder SrAl2O4:(Eu2+, Dy3+) phosphor excited by cw and pulsed laser radiation
Authors: Banishev A F , Banishev A A
Published: May 2021

This paper presents the results of a study of the temperature dependence of the photoluminescence and phosphorescence of the mechanoluminophor powder SrAl2O4:(Eu2+), SrAl2O4:(Eu2+, Dy3+), CaAl2O4:(Eu2+, Dy3+) which are promising materials for the creation of mechano-optical converters. The photoluminescence of the phosphors’ phosphorescence was excited by a set of cw lasers with different wavelengths. The temperature dependence of the kinetics of the photoluminescence and phosphorescence afterglow was studied. It is shown that with an increase in temperature to T » 90 °C, an increase in the intensity of the afterglow (phosphorescence) is observed in the initial period of time after switching off the exciting laser radiation.
Interlayer architecture for diffusion welding of monocrystalline silicon with copper
Authors: Barabanova O A , Nabatchikov S V , Zhukov E Yu
Published: May 2021

In the production of silicon-based products, one of the main tasks is to create a reliable connection of monocrystalline silicon with metals. This article discusses the issue of obtaining a welded joint of monocrystalline silicon with copper using intermediate layers.
Ti-doping of hematite by ion implantation method
Authors: Demirov A P , Blinkov I V , Sedegov A S , Chernogor A V , Kuznetsov D V , Kurichenko V L , Kolesnikov E A
Published: May 2021

Bulk α-Fe2O3 (hematite) sample with open porosity of 20 % and average pore size of 390 nm was obtained by spark plasma sintering (SPS). Ti-doping was carried out by ion bombardment method. Morphology, porosity, elemental and phase compositions were investigated. Rutile and titanomagnetite phases were formed after Ti-doping.
Effect of reference accelerating voltage on formation of TiN structural coatings during vacuum ion-plasma treatment
Authors: Petrov L M , Betsofen S Ya , Smirnova A N , Ashmarin A A , Semenov V D
Published: May 2021

In this article the matters of the structure of TiN coatings in the function of the parameters of ion-plasma vacuum treatment are addressed and their temporal evolution is considered.
Effect of Favipiravir on some epidemic infections: A mini review
Authors: Ibrahim N K , Al-Garawi Z S
Published: May 2021

Favipiravir is a modern antiviral drug that can be used in developing viral pandemics, such as the Ebola virus, H1N1 flu, Lassa fever, and haemorrhagic fever outbreaks in Argentina in 2009. A. Chain conclusion Favipiravir is transformed to favipiravir-RTP and inserted into the RNA strand that is elongating. Then, since favipiravir acts as a chain terminator, chain elongation slows down at incorporation site of favipiravir and does not continue. The proofreading enzyme cannot repair this complex of RNA-favipiravir and it will be discarded as excessive RNA, which causes the extinction of the viral genome. Mutagenesis with lethal consequences Ribavirin is used in the RNA elongating process until completion. The single strand of RNA with several ribavirin incorporation sites incorporates ribavirin or acts as mRNA for the production of viral proteins. Due to incorporation of ribavirin onto viral RNA, a mismatching of the base pairs (transition mutation) will occur. Translation of this mutated RNA will then cause mutations in the sequence of amino acid residues of the protein, result in impaired of protein function. Viral proteins that have lost their function are unable to replicate or generate infectious viral particles, and the virus is no longer infectious. As a result, lethal mutagenesis ends viral infection in a different way than chain termination. Favipiravir’s clinical trial against Ebola virus-infected patients has not yet been formally approved, and further research is required. Favipiravir, on the other hand, poses a risk of embryo toxicity and teratogenicity. As a result, the Japanese Ministry of Health, Welfare and Labor have been approved this medication with recommendations for more clinical use until August 15, 2014, when they approved the use of favipiravir due to the Ebola virus epidemic in West Africa. The aim of this review is to investigate the potential impact of favipiravir on infections espectially RNA-virus infections, according to previous published investigations, and thus to encourage rapid approval of this interesting antivirus in emergencies.
Study on microstructure and mechanical properties of 4Cr5MoSiV1 steel manufactured by selective laser melting
Authors: Bi Yanchao , Tao Fenghe , Jia Changzhi , Chen Shuai
Published: May 2021

The 4Cr5MoSiV1 steel samples were manufactured by selective laser melting technique. The effects of laser line energy density on microstructure, microhardness and wear resistance were analyzed. The relationship between microstructure and mechanical properties was studied. The results show that when the laser line energy density is too high, the grain size of the sample is larger, and there is a small amount of granular second phase precipitates in the sample. When the laser line energy density is too low, the grain size of the sample is small, and the grain shape is irregular, and there are obvious pores. When the laser line energy density is 633J•m-1, the microstructures of the samples are uniform in size and regular in shape. The highest microhardness is 682.3HV, and the lowest wear rate is 0.425 × 10-10kg• N-1 •m-1.
Super-Resolution multi-focus image fusion based on convolutional neural network
Authors: Wang Ying , Zeng Shangyou , Wang Xinjiao , Wang Jinjin
Published: May 2021

Multi-focus image fusion combines the focus parts of multiple images in the same scene to generate a fully focused image. Aiming at the problem of multi-focus image fusion, this paper optimizes the network design based on the existed image fusion network. The optimized network uses two groups of dilated convolutions with different numbers and sizes to extract shallow features, and then integrates the two groups of features through 1 × 1 convolution. Extracting deep information from feature map by dense block and the dense block are composed of four layers of dense connection convolution. In addition, the fused image is processed by sub-pixel convolution to obtain a super-resolution fused image, and a perceptual loss function is introduced to optimize the network. The experimental results show that the optimized network is superior to the existing fusion methods in objective and subjective evaluation. It has a certain application value in the field of image fusion.
Study on laser cutting process of aluminum alloy explosion suppression material
Authors: Zhou Jingzhong , Zhang Zhiwei , Niu Fang , Lv Jianjun
Published: May 2021

Using laser cutting technology instead of the existing processing process to process aluminum alloy explosion-suppressing material mesh, the effect of laser output power, cutting speed and auxiliary blow pressure on the size of the seam and surface roughness is studied. Inverted optical microscope is used to characterize the shape and physical phase of the cut, and the composition content analysis of residue produced after vibration experiment is carried out using ICP-AES inductively coupled plasma emission spectrometer and CS-744 carbon sulfur analyzer. The results show that aluminum alloy explosion suppression material is prepared by laser cutting process, and the test parameters are laser output power 30W, cutting speed 200mm/s, auxiliary blow air pressure 0.7bar, and its cutting size and surface roughness are optimal. Ultrasonic cleaning can effectively remove patches from the surface of the material after cutting to achieve better surface quality requirements. Laser cutting process compared with the traditional mechanical cutting process has obvious advantages, smooth cutting, high processing accuracy, slag rate significantly reduced.
Modelling of Resources and Activity of the Scrap Iron and Steel Reverse Supply Chain Service Based on Ontology
Authors: Xiong Yingqing , Liu Yi
Published: May 2021

Scrap steel reverse supply chain service system is a typical complex system. The realization of the service activities involves a large number of service resources. And there are multiple relationships between atomic service activities and service resources. To realize the search matching between complex service resources and service activity demand in scrap steel reverse supply chain service, the modelling method of service resource information in scrap steel reverse supply chain based on ontology is proposed. After analysing the classification method of service resource, the ontology information model of service resources and service activities is constructed. Then the search matching between service demander and service resource provider is transformed into the mapping between service resource ontology and service activity ontology to solve. Finally, the ontology model of specific instance is established, and the Semantic Web ontology language OWL is used. The model is proved to be correct and feasible by describing the instance service resource ontology and service activity ontology.
Research on Cleaner Production Process of Nano-cellulose and Its Application in Paper Strengthening
Authors: Ding Qijun , Zhang Ping
Published: May 2021

This experiment initially explored the clean production process of nanocellulose fibrils (NFC) using commercial softwood pulp as raw materials, and selected appropriate biological enzyme pretreatment to prepare NFC1 with a higher concentration. Compared with NFC2 obtained by TEMPO oxidation method, it is found that the diameter of NFC1 obtained by enzymatic pretreatment method (10-30nm) is similar to that of NFC2 (20-30nm). But the length of NFC1 (1-4μm) is much longer than the length of NFC2 (400-600nm). In addition, the influence of two kinds of NFC on the physical strength of paper is also explored. Experimental results show that: NFC1 is better than NFC2 in enhancing the physical strength of paper. And when cationic starch and NFC act synergistically, the enhancement effect is obviously better than using NFC alone or cationic starch alone. When the addition amount of NFC1 is (1.5±0.5)%, the tensile index, burst index, and tear index of the resulting paper increase by (43±3)%, (55±1)%, (37±2), respectively %. When the amount of NFC2 added is (1.5±0.5)%, the paper tensile index is (29±2)%. When the amount of NFC2 added is about (3±1)%, the paper’s bursting index and tearing index growth rate are (29±1)% and (33±1)% respectively.
Evaluation of foam inducing and foam stabilizing properties of different kinds of concrete air entraining agents
Authors: Zhong Lina , Wang Zhaopeng , Fang Yunhui
Published: May 2021

Water solution method, saturated calcium hydroxide solution method and cement solution method were used to evaluate the foam inducing and foam stabilizing properties of seven different types of air entraining agents. The evaluation results of the three methods were compared with the initial air content of concrete, the air content in 1h and the change rate of air content in 1h. The results show that the corresponding relationship between the test results of water solution method and concrete is the best.
Advances on the biosensor based on nanotechnology
Authors: Wei Yanling
Published: May 2021

Biosensor is a detection instrument which is sensitive to biological substances and convert the signal of biological activity expression into electrical signal in order to determine the characteristic of samples. Besides, the development of nanoparticles greatly promoted the development and progress of biosensors. Biosensors are promising to be widely used in many fields such as food, pharmacy, chemical industry, clinical examination, biomedicine, environmental monitoring, they have gradually become a research focus on recent years hence. This paper presents a review of worldwide researches, particularly summarized and discussed in composition materials, classification, and application areas of biosensors as well. It is expected that this review can provide some help and references for further research on biosensors.
Mechanical property analysis of stainless steel bolt
Authors: Ren Facai , Tang Xiaoying , Si Jun , Xu Jinsha
Published: May 2021

Tensile property test, hardness test, chemical composition test, metallographic analysis and solution treatment analysis were carried out for stainless steel bolt. The results show that the Cr content is slightly lower than the requirements of relevant standards, and the tensile properties and hardness meet the requirements. Comparing the microstructure of the original sample with that of the sample after solution treatment, it can be seen that there are a lot of acicular martensite phase in the original sample, and there are a lot of carbide precipitation at the grain boundary, but no carbide precipitation is found at the grain boundary of the sample after solution treatment.
Model Design and Processing of Bionic Non-smooth Surface of Fish-scale Concavity
Authors: Hou Jinming , Shi Guangfeng , Xia Mingqiang , Li Liang , Li Hongda
Published: May 2021

Based on the basic methods of engineering bionics research, this paper is inspired by the desert surface morphology on the basis of the existing drag reduction microstructures, and extracts the characteristics of ecological surface drag reduction information, thereby establishing a fish-scale pit model. This paper designs and builds a diamond stamping platform to stamp and stamp copper sheets, and proposes a method that can effectively process the non-smooth surface of the fish-scale pits of the required size.
Study on Application of Model Based 3D Process Planning System
Authors: Yin Haijun , Qiao Xinghua , An Weixing
Published: May 2021

based on the study on existing status of MBD technology applied in design and manufacturing aspects, this article analyzes the importance of model-based 3D process planning system utilized in manufacturing sector, puts forward a package of MBPP application proposal and describes the application objectives, application structure, implementation process and major functions. The model based MBPP system is developed based on process planning proposal, and has been validated by its application in the development and manufacturing of model X aircraft.
Software fault location technology under terminal embedded component
Authors: Xu Min , Lu XingHua
Published: May 2021

In order to improve the software fault location capability of embedded components of heterogeneous Web server terminals, a software fault location method of embedded components of heterogeneous Web server terminals based on source code fault feature detection is proposed. The original information collection model for software fault detection of embedded components of heterogeneous Web server terminals is constructed, the big data feature quantity of software safety information of embedded components is mined. The spectrum information of software safety information is extracted by adopting a dynamic information fusion method, so as to obtain the fuzzy closeness of software faults. The big data information parameters of embedded component software faults of heterogeneous Web server terminals are adaptively adjusted, and the cross information distribution set of embedded component software faults of heterogeneous Web server terminals is determined. The disturbance of embedded component software faults of heterogeneous Web server terminals is obtained by using the method of limit mining, and the adaptive mining of software faults is realized. Simulation results show that this method is accurate in locating software faults under terminal embedded components, and the software has strong anti-attack ability.
Process Design of Pilot Warm Rolling Mill for Difficult-to-deform Materials Research
Authors: Su Hai-Long , Yang Hong , Li Jian-Ping , Sun Tao
Published: May 2021

Due to the increasing demands for warm rolling research of difficult-to-deform materials, the State Key Laboratory of Rolling and Automation of Northeastern University (NEU-RAL) developed a set of pilot warm rolling mill with its functions including: rolled piece heating online, rolls heating online, hydraulic screwdown, tension control and reversing rolling. The rolls heating uses induction heating mode and the rolled piece heating adopts direct resistance heating way. The warm rolling process is designed based on the characteristics of pilot warm rolling mill. The AZ31 magnesium alloy samples were rolled successfully and demonstrated that warm rolling is an effective method to process difficult-to-deform materials. The new pilot warm rolling mill has been successfully put into use in several research institutes of China, it will contribute further studying on warm rolling characteristics of difficult-to-deform materials.
Effects of thermal-rate treatment and modification of Ce on the microstructure and properties of A356 alloys
Authors: Zhang Shuo , Bo Lin , Wang Lin , Hou Yangbo , Zhao Degang
Published: May 2021

In this study, the effects of thermal-rate treatment (TRT) and modification of Ce on the microstructure and mechanical properties of A356 alloy were investigated. The results showed that the microstructure of A356 alloy was improved after TRT and modification of Ce. The α-Al was refined significantly and the eutectic Si transformed from needle-like shape to granular-like shape. When the content of Ce increased to 0.5%, the grain size of α-Al of A356 alloy began to increase and the dendrites became coarse. When the Ce content was 0.4%, the tensile strength and yield strength of A356 alloy were 183MPa and 124 MPa, respectively. The mechanism of (TRT+Ce) on the grain refinement of α-Al and modification of eutectic Si was discussed.
Point Cloud Based 3D Matching and Identification of Welding Seam Using Genetic Algorithm
Authors: Lou Linlin , Li Zhe , Luo Shiqiang , Yang Changming , Liu Yu
Published: May 2021

Welding seams identification is a challenging task in robotic welding process. In this paper, we present a method for the automatic identification and location of welding seams for robotic welding using handy 3D scanner. The method uses point cloud based local feature matching and continuous feature search algorithm, which aim at achieving an adaptive seam identification process that can work on similar work pieces with different sizes. The results together with the visual verification demonstrate that the proposed algorithms have ability to identify the welding seam from point cloud acquired by handy laser scanner.
Research on Dynamics of Vehicle Height Adjustment for Automobile with Double-Wishbone ECAS
Authors: Wang Hui
Published: May 2021

This paper addresses the problem of dynamics of vehicle height adjustment for automobile with Double-wishbone electronically-controlled air suspension (ECAS) under considering the effects of suspension geometry and kinematics. The model of vehicle height adjustment consists of air spring model and suspension dynamics model. The air spring model was derived by thermodynamic theory for variable-mass gas charge/discharge system. The suspension dynamics model was formulated by kinematics analysis and dynamics modeling of double-wishbone suspension. Then, the influence of suspension geometry and kinematics on the model of vehicle height adjustment was quantitatively analyzed through simulation. Finally, Simulink-Adams co-simulation results show the accuracy of the model.
Study on the problem of unlocking P block of car
Authors: Li Hongxing , Sun Wenfang , Zhang Weizhong , Zhang Jun , Li Hongling
Published: May 2021

In view of the market problem that the P gear of a certain model cannot be unlocked, through a detailed fault tree analysis of various influencing factors, the control mechanism and transmission control software are optimized to improve the vehicle shift performance and provide a reference for solving similar problems in the later stage.
The Characteristics of Debye Effect Magnetic Field Under Acoustic Excitation
Authors: Xu Yujing , Pan Mengchun , Zhang Qi , Chen Dixiang , Liu Zhongyan , Hu Jiafei , Chen Zhuo , Wang Zhenxiong , Wang Ze
Published: May 2021

Debye proposed the generation of electric potential difference under acoustic excitation in electrolyte solution because of ion separation. However, the ion separation can also induce magnetic field, which has always been neglected by researchers. This paper builds a theoretical model of Debye effect magnetic field, and a multi-physics computation method to study the magnetic field. According to the computation results, an acoustic excitation with frequency at 70Hz and amplitude at 0.1m/s can generate magnetic field at the level of one pico-Tesla, which can be detected nowadays.
Inverse kinematics based on backbone curve for a hyper-redundant tensegrity bird-neck robotic mechanism
Authors: Wang Yihang , Li Zhaoqin , He Jingfeng , Li Xin
Published: May 2021

In this paper, we propose a hyper-redundant tensegrity bird-neck robotic mechanism. To study the inverse kinematics of this mechanism, we propose a method with two steps. Firstly, the backbone curve for the bird neck is used to describe the macroscopic shape of the mechanism. Secondly, by coordinating the internal forces of the cables when the bird-neck tensegrity model is in equilibrium, we can get all cable lengths of the bird neck at a certain shape which is the inverse kinematics solution. Simulations are conducted to verify the validity of the proposed inverse kinematics method.
A Segmentation Algorithm of Wear Debris Reflected image Based on Watershed and H-minima Transform for On-Line Visual Ferrograph Analysis
Authors: Wu W , Wei H D , Li B , Lv H W
Published: May 2021

Aiming to solve the problems of identifying the over-brightness and over-dark parts in the reflected light wear debris image, this paper proposed a new OLVF (on-line visual ferrgraph) reflected light wear debris segmentation algorithm. If the wear debris image is bright and dark, the morphological black-hat operation is used to eliminate these interferences. Then the H-minima transform is applied to corrected image local extreme value interference and the threshold is obtain through Otsu algorithm. The watershed algorithm is adopted to separate over-bright and over-dark wear debris. Eventually the morphological dilate corrosion of opening and closing reconstruction is applied to filled holes and connected wear debris profile. On the basis of the above-mentioned method, the OLVF reflected light wear debris are accurate shape and continuous profile in the final result. Compared with other wear debris divide algorithms, the proposed method effectively suppresses the influence of reflected light, and better retain the information of wear debris image. At the same time, the signal-to-noise ratio is 12dB higher than others at the maximum, and the root mean square error is reduced by 0.051 at the maximum.
Servo control and detection system of magnetic levitation pipeline based on FPI bus
Authors: Luo Ruiliang , Wang Ao
Published: May 2021

The growth rate of China’s plastic pipe industry ranks first in the world. In 2018, China’s plastic pipe production broke through the 16 million ton mark. With the growth of China’s economy, the output of plastic pipe still has a large space for increase. However, the detection of pipeline defects has been relatively backward in China. Aiming at the problem of pipeline internal inspection, this paper proposes a magnetic suspension non-contact detection method, and designs a real-time feedback servo control system for the detection system. to improve the efficiency and quality of pipeline inspection, and expand the scope of pipeline inspection in industrial production.
Application of Maximum Entropy Method in Error Statistic of Vertical Launching Device
Authors: Lei Xiaobo , Song Xiangtao , Du Siyuan
Published: May 2021

The installation accuracy of the vertical launcher will have varying degrees of influence on the initial accuracy of the test missile launching. Therefore, it is of great practical significance to study the assembly error characteristics of the launcher. This article will perform ANSYS simulation of the vertical launcher based on the marine force environment, use the maximum entropy method to perform statistical analysis on the extracted simulation error data, and calculate and solve the probability density function and distribution curve of the error data. The analysis results provide guidance for the next step in the accuracy control research of the launcher.
Fatigue Simulation of Railway Car Bogie Frame Based on Multi-body Dynamics and Finite Element Analysis
Authors: Lan Qingqun , Song Fu
Published: May 2021

This paper proposes to combine multi-body dynamics and finite element method to study the fatigue strength and fatigue life of the bogie frame from the perspective of taking the vehicle as a whole. The analysis model established by the multi-body dynamics simulation software SIMPACK, the dangerous positions are determined from FEA software ANSYS, Based on the load-time history and Miner cumulative damage theory, the fatigue strength prediction is carried out using n-soft software, the study shows that the time-load history of each key position obtained by simulating working conditions can predict the life of components more accurately, this method can be applied to the initial stage of product design.
Refined cost control and management methods for high-speed railway signal projects
Authors: Wang Li , Wang Rongsheng , Yuan Zhiming
Published: May 2021

The paper concentrates on a cost control and management problem of high-speed railway signal systems when the project managers require to organize, implement, and assess the project cost. When it comes to the existing issues of implementing railway signal project, the management process’s actual performances are presented, including the weak awareness of refined management and the lack of the financial management information system. Aiming to reduce project cost and safe operation of the signal systems, the refined cost control and management methods and concrete measures are presented during the concrete stage involving project bidding, preparatory, implementation, and completion.
Study on Measurement and Alarm Device with Magnetic Fluid for Air Flow Safety
Authors: Hao Ruican , Liu Huagang , Wang Shang , Ma Jinru
Published: May 2021

For many engineering fields, the air flow should be controlled into a safety range to ensure the production safely. A novel flow measurement device was designed for large safety range. A separable structure of the device was proposed to meet the convenience to carry. Magnet and magnetic fluid was selected as an inducting core. The characteristics of the inducting core were researched. The working principle of the measurement and alarm device for air flow safety was introduced and analyzed. The separable structure was designed to achieve two modes of the measuring and alarm device that one mode is for measuring and alarming work and the other mode is for storing and transporting conveniently. A pipe was designed for the air to pass through. Two coils were designed and chosen to be set up at two ends of the pipe to detect the changes of the internal magnetic flux and then alarm for the changes. An adjustment element was designed and set into the pipe to adjust the position of the inducting core to satisfy the requirements of the working conditions. The designed device is feasible to keep the air flow safely and to alarm when the air flow exceeds safety range.
Design of a cleaning robot for the interior of a mobile pressure vessel
Authors: Chen WuChao , Xi LingLi , Yang LiJun , Mu YanChun , Liu MingMing , Lin Qi
Published: May 2021

Mobile pressure vessel in operation, will produce a lot of impurities inside the container, Up to tens of kilograms to hundreds of kilograms. The impurities are not only flammable and explosive, but also toxic and harmful. Moreover, the internal structure of the container is complicated, and it is difficult to remove it with conventional water cleaning or steam purging. which will cause explosions, personnel poisoning and other hazards during welding and inspection. In this article, for the inspection and cleaning of mobile pressure vessels, how to design a semi-automatic robot to remove impurities inside the container and ensure the safety of the inside of the container, The authors published their own design ideas.
Design and Demonstration of Experiment Bench with Small Vibration Source and Large Load
Authors: Li Wanguo , Lv Min , Liu Chengyao
Published: May 2021

We design a kind of vertical vibration experiment bench with small vibration source and large load, and demonstrate that the support spring has no influence on the vibration transmissibility. The spring parameters are designed based on the resonance characteristic of the spring, and the transfer plate is simulated and optimized by Workbench and Hyperworks. The experiment bench makes the large load can be vibrated under the excitation of small vibration source, which provides a reference design for the vibration isolator and other equipment that need to carry out the large load vibration experiment.
Simulation and analysis of marine strong magnetic surface-mounted shield
Authors: Wang Zhi , Zhao Bin , Liu Maoke , Zhu Honghai , Qi Guoliang
Published: May 2021

In the course of the ship’s navigation, a strong magnetic surface mount method is used to realize real-time observation of the temperature and salt elements of the sea surface. In order to ensure the stability of the magnetic module (the shield) during navigation, the force condition was analyzed with ANSYS Fluent, and a design calculation method was proposed. Firstly, numerical simulation analysis is carried out on the force of the shield. Secondly, the magnetic force of permanent magnets with different sizes is calculated. Through the analysis of the overall force, the size and total number of magnets required on the shield are finally determined.
Design and Structure Simulation Analysis of Sand-mold Inkjet Printing Device
Authors: Wang Yifei , Shan Zhongde , Wu Shuangfeng , Guo Zhi , Dong Shijie , Hu shan
Published: May 2021

Ink-jet printing technology is a digital high-efficiency forming technology that can realize the rapid manufacturing of sand mold for foundry. This paper designs a low-cost, high-reliability ink-jet printing device based on the sand-mold inkjet printing process, and uses ANSYS finite element analysis software to carry out static analysis and modal analysis for its main frame. The analysis results show that the main frame has good rigidity and high strength, there will be no large deformation and resonance in frame under the working conditions, which can meet the requirements of sand-type inkjet printing devices.
Design of high power switched reluctance motor controller
Authors: Cao Jianping , Zhang Yulin
Published: May 2021

This paper takes the high power Switched Reluctance Motor (SRM) as an example, and designs the control system of the SRM according to the structure and operation characteristics of the high power SRM. The control system takes STM32 MCU as the core, and is composed of driving circuit, current detection circuit and protection circuit. The control methods commonly used in SRM include current chopper control (CCC), voltage chopper control (VCC) and Angle position control (APC). In addition, PI closed-loop control strategy is used to optimize the system performance, which verifies the feasibility and stability of the design of the motor control system.
Structure design and type selection of a crawler manipulator chassis
Authors: Xingzhizhi  , Lianzhou Yu , Lei Fan , Shangli  , Xiaolin Zhang
Published: May 2021

The crawler robot chassis is intended to be used in dangerous places, complex environment and other operations, the machine can work on complex ground, with good environmental adaptability, good crawler grip, no slipping. This paper briefly introduces the structure design, control system design and motor selection of the new crawler manipulator chassis.
Design and Lightweight based on FSC racing monocoque
Authors: Ye Pengxiang , Zhou Wencan , Zhao Chaohui
Published: May 2021

In order to improve the handling of the suspension system in FSC racing cars under extreme operating conditions, the overall strength stiffness of the car is improved to provide reliable support and protection for the driver, engine and all other components. This paper focuses on the torsional stiffness of the load bearing members required for the transient conditions of the car entering and exiting the corners. Based on the design value, 3D modeling was carried out according to the 95th percentile manikin and driver data. Importing Hypermesh to divide the mesh for finite element analysis of each working condition, and changing the skin thickness, core material thickness or core material type for each area of the whole vehicle to continue to optimize the performance of the parts and complete the purpose of lightweighting.
Smart Pet Feeding Device Based on Single Chip Microcomputer
Authors: Su Qiaoping , Liu Yuan , Wu Haojian
Published: May 2021

In modern society, more and more young people take pets as their emotional sustenance. However, due to the busy daily work, we can’t take care of the pet’s diet in time. In order to make this kind of people more convenient to feed their pets, we designed an intelligent pet feeder based on MCU. This design can solve the problem that the pet owner can’t take care of the pet’s diet for various reasons to a certain extent. The system uses STC89C52RC single chip as the main control chip, which can manually set the feeding times and feeding time of pets, display the data through LCD1602 screen, and use step motor to control the opening and closing of the intelligent pet feeder. A sound prompt module is set up, which uses the buzzer to send out feeding signals during feeding time to attract pets to eat.
Research on integration of Beidou Positioning and RFID antenna module
Authors: Xia Chuanfu , Li You , Zhang Lili , Liu Wei , Liao Baoquan , Zhang Yonghui , Zheng Lingfeng
Published: May 2021

RFID radio frequency identification technology has been carried out on the grid assets life cycle management all the various levels of application, the technical implementation model is the physical label paste on the assets, equipment information storage, contactless batch read and data transfer. This design studies the long-distance ultra-high RF technology and designs the integrated ultra-high frequency module through the RFID asset physical electronic identification; the design studies the high-precision Beidou Positioning Technology and designs the integrated high-precision positioning module. According to the above two modules, the peripherals integrating Beidou Positioning and RFID are designed to connect the mobile terminals of various business departments.
Design of airport road surface inspection system based on machine vision and deep learning
Authors: Guo Wentong , Wang Niannian , Fang Hongyuan
Published: May 2021

The specific objective of this study was to solve the problem of high risk and low efficiency of manual inspection of airport road surface. This paper describes the design of an Airport Road Surface Intelligent Inspection System Based on machine vision and deep learning. The system completes the airport pavement inspection through autonomous navigation. MobileNet-SSD and Mask R-CNN algorithms are used for target detection and semantic segmentation of airport pavement apparent disease and foreign object bebris in this paper. At the same time, topological feature extraction and pixel size measurement were carried out. Finally, the information is uploaded to the storage server and the target information is displayed on the Android mobile terminal. The inspection system can complete the work of airport pavement inspection and provide a new way for airport pavement health monitoring.
Design and Research on the Control Circuit of Capacitive High Power Pulse Power Supply
Authors: Xu Guiyue
Published: May 2021

Based on the function of the high-power pulsed power supply control circuit, this article reasonably selects the control device combined with the emission characteristics of the electrochemical gun, and proposes a control circuit design plan, and effectively improves the circuit through the trial of the control circuit.