bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation study on Air Outlet of Data Center
Authors: Liu Fuyi 
Published: April 2021

Abstract
How to reduce the amount of wasted cooling in corridors and gaps is a problem in data center air conditioning design. Modeling the data center airflow data and simulating the temperature distribution are the prerequisites and key points to solve this problem. This paper uses the optimal idea to establish a mathematical model to simulate the location of the air conditioning vent. Determine the layout of the computer cabinet based on the analysis of the internal and external environment of the computer cabinet. The external environment analysis is mainly the analysis of several directions: According to the CFD simulation and simulation, the wind speed and tuyere arrangement of the air supply port are compared and the optimal wind speed of the air supply port is obtained. For the problem of the ceiling height and the spacing of the upper air outlet, discuss the method of determining the air supply spacing on the air duct so that the upper air supply can cover all the air inlets of the cabinet to achieve the most reasonable air supply flow. For the numerical simulation and optimization of the airflow organization in the equipment room, it is easy to know that the farther away from the air conditioner, the higher the temperature is relative to the air conditioner, and the wind speed far from the air conditioner is relatively large, so the temperature in the distance is higher. Also, because the hot aisle has no ventilation slots, its temperature must be higher than the cold aisle. Therefore, the temperature in the hot aisle is higher than the ground and the air conditioner is far away. According to the airflow dynamic equation and the K-ε turbulence model equation, the Fluent software is used, and combined with the data given in the data center room, the airflow data is simulated. Finally, the best solution for setting the position of the air conditioning air outlet is given.
Design of high-order QAM modem algorithm
Authors: Chang Yinghui , Liu Changlong 
Published: April 2021

Abstract
More and more attention has been paid on the issue of bandwidth utilization. Nowadays, with limited frequency spectrum resources, the capacity of traditional communication system has not been able to meet the demands of users. Quadrature Amplitude Modulation (QAM) has become a critical technical solution for broadband wireless access and wireless video communication due to its advantages of high frequency spectrum utilization and high-power spectrum density. In order to further improve the control information transmission performance of high-order QAM, we propose a high-order QAM modulation and demodulation algorithm, which is designed from the aspects of interleave between channels, leading sequence, constellation modulation, frequency domain sampling and (Orthogonal Frequency Division Multiplexing) OFDM generation, etc. The simulation results demonstrate that the algorithm can ensure the reliable reception of control information.
Research on the application of Fama and French three-factor and five-factor models in American industry
Authors: Li Kanlong , Duan Yanjun 
Published: April 2021

Abstract
By conducting ordinary least square estimations using the Fama and French Three-Factor and Five-Factor models on thirty U.S. based industry portfolios, the significant rate of all the variables is compared. Using the comparison, the impacts of the COVID-19 Pandemic on the markets and the Fama and French models are significant. As a result, the significance level of all the independent variables has increased during the COVID-19 Pandemic. The Five-Factor model fares a more substantial increase in efficiency during the Pandemic, and some variables, such as HML and CMA, see tremendous changes. The market becomes less sophisticated during the Pandemic, and the Fama and French Five-Factor model may be more suitable for estimation under certain market environments, contrary to many previous studies.
Research on the Design of Fire Alarm and Pre-treatment Robot System
Authors: Zhang Bingchen , Bai Long , Chen Xiaohong 
Published: April 2021

Abstract
With the development of society and economy, the application of fire warning robots based on sensors and artificial intelligence technology is a new research field. This paper proposes a design scheme for fire warning and pre-processing robots. The robot is based on visual tracking instead of human Uninterrupted patrol of space sites; comprehensive analysis of environmental data collected by sensors based on fuzzy theory algorithms, and issuing fire warning and alarm signals; analysis of infrared images of electrical equipment based on machine vision to monitor operating conditions; construction of fire site maps based on slam algorithm through laser radar. The fire early warning and pre-processing robot designed in this paper realizes the functions of autonomous inspection, fire early warning, fire detection, fire extinguishing, and obstacle removal. It makes full use of the golden extinguishing time to kill the fire and protect people’s lives and property.
Research on Quality and Safety Intelligent System under Ship Navigation
Authors: Lin Tao , Wang Huihui , Ma Mengyin , Zhang Haotian 
Published: April 2021

Abstract
This paper first analysed the importance of integrated ship control systems’ researches and developments, and find out why quality and safety plays an important role as the ship industry and the ship automation research develops. Then the paper introduced the ideas, theoretical basis, and the system structure of the whole system design, with the implementation steps of the quality and safety intelligent system followed. Finally, a simulation was executed on the system, and the data is persuasive.
Research on the Application of Big Data Technology in Information Statistics Research System
Authors: Hao Yuhong , Huang Ying , Feng Yu 
Published: April 2021

Abstract
With the continuous development of computing science and technology, the application of big data technology is very popular, especially in the field of scientific research. The content of mathematical information science fully reflects that mathematics is an important part of scientific research. This article adopts big data technology, which has certain educational significance for training scientific research staff to analyze sports technology of mathematics. The application of big data teaching has enabled scientific researchers to have a new understanding of mathematics, stimulated their interest in mathematics research, and gradually realized that mathematics information science is the basic skill of modern scientists, thus inspiring the continuous deepening of research mathematics Scientific research work.
Application Research and Implementation of Voice Control System Based on Android Speech Recognition
Authors: Meng Xiangrui , Song Yan 
Published: April 2021

Abstract
Based on the voice recognition technology of Android platform, combined with WiFi network communication technology and embedded control system, an audio voice control system is realized, which collects voice commands on the mobile phone APP for recognition and controls the operation of audio equipment through WiFi network and embedded control module. The voice recognition adopts the voice recognition SDK provided by IFLYTEK open platform, the WiFi network is provided by WiFi router, and the embedded control module adopts the STC15F204EA controller, which is matched with NL6621-M3WiFi module to receive processing instructions. After experimental test, the audio system can be effectively controlled by voice, which meets the requirements of modern audio equipment intelligence.
Simulation Analysis on Ride Comfort of Hybrid Heavy Truck Based on ADAMS
Authors: Wang Guangyu , Xie Chengwei 
Published: April 2021

Abstract
In traditional heavy truck design process, a large number of real vehicle tests are required to evaluate the ride comfort of the heavy truck. This not only increases the R&D costs but also prolongs the R&D cycle, which brings great inconvenience. This paper establishes a three-dimensional digital model in Adams/car based on the relevant parameters of a hybrid heavy truck. The ride comfort with different speeds was tested on B-level random roads and A-level impulsive roads, and the maximum body vibration acceleration of the heavy truck when driving on A-level impulse roads, weighted root mean square value of acceleration of driving seat vibration when driving on a B-level random road are obtained with different speeds. These values reflect the impact on human comfort and health when driving, provide a theoretical basis for the subsequent optimization design and greatly save manpower and material resources.
An Empirical Analysis of the Service Efficiency of Basic Public Education Based on the BCC-DEA Model of Neural Network Computing Principles
Authors: Han Tianyue , Han Xiaowei 
Published: April 2021

Abstract
Aiming at the problem that the performance ranking analysis method in the traditional BCC-DEA model will produce infeasible solutions under the assumption of variable returns to scale, this paper proposes to apply the neural network calculation principle to the DEA performance ranking analysis, thereby establishing a BCC based on the neural network calculation principle -DEA model, and then use this model to analyze the efficiency of basic public education service investment in Jilin Province during the “Twelfth Five-Year Plan” period, and studied the details of the nine-year compulsory education service. The implementation measures and implementation rules examine the relationship between the government’s interactions between educational resources and economic benefits. The layer is facing empirical research in Jilin Province as a whole. The study found that the overall high speed of basic public education services in Jilin Province is insufficient, and the education system, management level, and pure technical efficiency of resource allocation are the main factors affecting overall efficiency. Various investments made by the government during the 12th Five-Year Plan period, the efficiency changes in the whole period: the overall comprehensive efficiency changes in Jilin Province decreased during the five years, and the direct influencing factors were insufficient progress in education and through a variety of training, and a variety of multimedia education and new technology application. To this end, the paper puts forward the following suggestions: explore the public policy of sufficiency education, improve the performance of resource allocation; build a public policy of responsive education, improve the financial security mechanism; esTablelish a public policy of binding education, improve the system management; promote learning education Public policy to improve the development of capabilities.
Adiabatic shear bands formation in polycrystalline aluminium
Authors: Mania I , Paul H , Chulist R , Petrzak P 
Published: April 2021

Abstract
The microstructure and texture evolutions during dynamic (or high strain rate) deformation of commercially pure AA1050 alloy have been studied to elucidate the mechanisms of shear band (SB) formation and its propagation across the flattened grains arranged in layers with special attention to texture evolution. The hat-shaped samples were compressed using drop hammer at a strain rate of 5.3 × 102 s−1. Detailed microstructure and texture characterizations were carried out using SEM equipped with EBSD facility. The shear displacement moves the upper part of the hat-shaped sample towards the bottom one leading to a strain localization in the form of SB. It was found that the strain localization occurs via deflection of flattened grains within narrow areas leading to kink-type bands that are considered to be the precursors of SB. The strain-induced crystal lattice rotation led to the formation of new texture components, different from those identified inside the undeformed matrix. It also facilitates slip propagation across the grain boundaries. The mechanism of macro-SB formation is essentially crystallographic in nature since in all grains of the sheared zone, the crystal lattice rotated in such a way that one of the {111} slip planes became nearly parallel to the shear plane and the <011> direction became parallel to the direction of maximum shear.
Observation of Inhomogeneous Deformation in a Cold-Rolled Ti-added Ultra-Low Carbon Steel using High-Precision Markers Drawn by Focused Ion Beam
Authors: Morikawa T , Kurosaka R , Tanaka M , Ichie T , Murakami K 
Published: April 2021

Abstract
The development of deformation inhomogeneities in ultra-low carbon steel due to cold rolling has been investigated by observation of the longitudinal plane at chosen sites of a rolled sheet using SEM and SEM-EBSD techniques. Particular attention has been paid to the development of strain distribution in the crystals. The microstructures and the orientation distribution in the longitudinal plane of a sheet rolled to a 60% reduction in thickness were observed, and some grains with preferred orientation such as α-fiber and γ-fiber were selected. In order to examine the local strain distribution of these grains due to cold rolling, high-precision dot markers, 0.3μm in diameter, were drawn using a focused ion beam. Then, before being subjected to additional rolling, the sheet was fitted into a frame made of the same steel under a plane strain condition. Using the marker method, the local displacement of the grains due to cold rolling has been directly measured.
A phase-field investigation of recrystallization boundary migration into heterogeneous deformation energy fields: Effects of dislocation boundary sharpness
Authors: Li R , Yadav V , Moelans N , Zhang Y , Juul Jensen D 
Published: April 2021

Abstract
The migration of recrystallization boundaries into spatially varying deformation energy fields are simulated based on a two-dimensional phase-field model. The energy fields are chosen as idealized versions of deformation microstructures subdivided by two sets of intersecting geometrically necessary dislocation boundaries (GNBs), and effects of the sharpness of the GNBs are investigated. The simulations show that the shape of the recrystallizing grain as well as the recrystallization kinetics are considerably affected by the wall characteristics of the GNBs. Recrystallization occurs faster in the deformed matrix with “sharper” walls. The simulation results highlight the importance of the deformation microstructure characteristics on the recrystallization kinetics, and as the deformation microstructures depend on the initial grain orientations, the results also indicate tight relations between initial, deformation and recrystallization textures.
Texture evolutions in aluminum and Al-3%Mg alloy subjected to shear deformation and subsequent annealing
Authors: Takayama Yoshimasa , Xu Yihe , Yoshida Tsuyoshi , Tanaka Hiroki , Onuki Yusuke , Sato Shigeo 
Published: April 2021

Abstract
Shear deformation is imposed on materials by several advanced techniques for microstructural and textural control. Shear texture evolved during deformation tends to remain after subsequent annealing. Texture evolutions with shear deformation and subsequent annealing in aluminum and Al-3mass%Mg alloy rolled sheets have been investigated by neutron diffraction technique. N-shaped specimen was prepared from the alloy sheet to impose shear strain in compression. The central objective part of the N-shaped specimen was sheared with slight rotation about the normal axis so as to develop preferred orientations of {111} parallel to the original shear plane and <110> parallel to the original shear direction before deformation. In-situ neutron diffraction analysis during step heating revealed that the preferred orientations formed by shear deformation remain and evolve as recrystallization texture during subsequent annealing in both materials. Evolutions of shear and recrystallization textures were compared after shear deformations with strains of 0.5 and 0.7 in two samples sheared parallel to rolling and transverse directions.
Secondary recrystallization in grain-oriented silicon steel
Authors: Ushigami Y 
Published: April 2021

Abstract
Grain-oriented silicon steel is a soft magnetic material widely used for transformer cores. Magnetic properties are closely related to the sharpness of Goss texture, which is evolved by secondary recrystallization. An overview of our results will be presented; secondary recrystallization behaviour has been investigated by in situ observation utilizing synchrotron x-ray topography. The results support the selective growth mechanism. Migration of Goss grains is controlled by inhibitor and sharper Goss grains, which have higher frequency of CSL-boundaries to the matrix, start to grow preferentially while the other grains are stagnated by inhibitor. Secondary recrystallization behaviour can be explained based on this CSL-model. At the initial stage, inhibitor gradient through the thickness promotes Goss selective growth from the subsurface layer and at the later stage, inhibitor drop rate dominates the Goss selective growth. Inhibitor and CSL-boundaries synergistically affect Goss selective growth and Goss grain evolves to a coarse grain.
Grain growth in soft magnetic ferritic stainless steels under compressive stresses at high temperatures
Authors: Suzuki S. , Onuki Y. , Uchida M. , Sato S. , Naruse T. , Watanabe M. , Sato T. , Ebata T. 
Published: April 2021

Abstract
Precipitation-hardened ferritic stainless steels are used for soft magnetic actuators of engines, as these steels exhibit high strength and soft magnetic properties. These ferritic stainless steels are hardened by nanoscale precipitates formed during an aging process after solution treatment. Furthermore, texture control of these steels is required in order to improve the soft magnetic properties. Therefore, texture control of ferritic stainless steels with <100> fiber texture by deformation at high temperatures is attempted in this study, as it has been demonstrated that the texture of ferritic Fe-Si alloys is significantly changed by deformation conditions, including temperature and strain rate. The results demonstrate that grains with the <100> fiber texture in the present stainless steels are preferentially evolved by compressive deformation under specific strain rates at high temperatures.
Improving Ductility in Dual-Phase Steel by Cold Rolling and Intercritical Annealing
Authors: Singh Alok Kumar , Bhattacharya Basudev , Biswas Somjeet 
Published: April 2021

Abstract
Dual-phase steels offer huge potential to provide a cost-effective solution in the automobile industry to fulfill the demand for high strength with formability. The desirable strength is achieved by increasing geometrically necessary boundaries and ferrite grain refinement but not by increasing martensite fraction. The major challenge is to improve the ductility and formability, without compromising its strength. In this work, cold rolling reductions to ∼84% was given to hot rolled annealed steel, followed by intercritical annealing and water quenching. Tensile tests, Optical microscopy, Electron Back Scattered Diffraction and X-Ray characterizations were carried out. The improvement in strength and ductility were correlated with microstructure and texture.
η-fiber microstructure and texture evolutions in ultra-thin silicon steel
Authors: Zhang N , Meng L , Zhang B , He C X , Ma G , Han Y , Chen X 
Published: April 2021

Abstract
0.08mm ultra-thin silicon steel is prepared with 0.30mm commercial grain-oriented silicon steel as raw material, and the evolutions of η-fiber microstructure and texture are investigated with emphasis. During rolling deformation, initial Goss orientation shows crystal rotation to {111 }<112> orientation. With the increase of rolling reduction, the retention of Goss orientation is reduced and more observed near the sheet surface. For initial deviated Goss oriented grains, {111}<112> and η-fiber oriented areas are also observed in 0.08mm rolled sheet, while the accuracy and concentration of these two components are decreased. During annealing, η-fiber nucleation superiority in γ-fiber deformed regions is significant, and thus contributes to strong η-fiber recrystallization texture. When the rolled sheets are heated at 800 °C for 15 min, strong η-fiber recrystallization texture and uniform microstructure is beneficial for the magnetic properties of ultrathin silicon steel sheets.
Influence of substructure inhomogeneity on the anisotropy of physical properties of textured materials
Authors: Krymskaya O A , Isaenkova M G , Perlovich Y A , Fesenko V A 
Published: April 2021

Abstract
Calculation of the physical properties anisotropy is based on single crystal properties and information about material texture, i.e. orientation distribution function (ODF). At the same time, the grains of different orientations are known to have different substructure parameters including the lattice distortion and microstrains. Determination of these parameters is possible with the X-ray method of Generalized Pole Figures (GPF), which consists of registration of the whole X-ray reflection profile under the pole figure recording. As a result, one can obtain the FWHMs of X-ray line profiles and microstrains distributed on the stereographic projection. Despite the observable equilibrium of tensile and compressive microstrains of differently oriented grains within the studied material volume, they can affect the product properties anisotropy. In this study the calculation method for elastic properties and thermal expansion coefficients taking into account substructure inhomogeneity is offered on the basis of elastic energy minimization. Its efficiency is demonstrated for the samples of zirconium alloys.
Depth Profile of Residual Stresses to Analyze Textures in Extruded A6XXX
Authors: Oda Shogo , Tanaka Shun-Ichiro 
Published: April 2021

Abstract
The extruded profiles of A6XXX alloys have a textured surface structure, different from those having the inner cube and Goss orientations. This structure possibly contributes to the decrease in bending strength. Although the mechanism of degradation has been discussed for precipitates, it is necessary to reconsider it from the viewpoint of residual stress distribution. In this study, we first determine the optimal method to evaluate the residual stress in a textured structure. The cosa method with 3-axis oscillation successfully yielded highly precise residual stress values even in extruded aluminum alloys. Although the inner layers of A6063 and A6005C had the cube and Goss orientation, the surface layer at a depth of ∼400 μm had a (112) orientation in A6063 and that at ∼200 μm had a (110) orientation in A6005C. The residual stress increased further from the surface, and changes in the preferred orientation corresponded well with those of residual stress, especially in A6005C. It is suggested that the residual stress increases as the tensile strength increases.
Process parameter influence on deformation and recrystallization textures in Al alloys
Authors: Sidor Jurij J , Xie Qingge , Chakravarty Purnima , Pal Gyula 
Published: April 2021

Abstract
Mesoscopic changes take place during the entire thermomechanical processing (TMP) of polycrystalline metallic materials. Controlling the TMP parameters is of key importance since both microstructure and texture evolution of a particular technological step severely influence the final properties of a given product. This study is focusing on the crystallographic aspect of microstructural formation in Al alloys. The effect of straining level on the crystallographic texture evolution and texture-dependent properties is discussed. This contribution clearly demonstrates that the plastic stain ratio can be modified via TMP route. Implementation of relatively small deformation could account for improvement of anisotropy of plastic yielding, necessary for advanced deep drawing qualities.