bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influences of Laser Remelting on Hot Corrosion Resistance of Plasma-sprayed Nanostructured Al2O3-13wt.%TiO2 Coating
Authors: Wang Dongsheng , Xiao Rui , Qu Guang , Zhou Xinhua 
Published: July 2021

Abstract
Nanostructured Al2O3-13wt.%TiO2 ceramic coatings were prepared on the TiAl alloy surface by using the plasma spraying and plasma spraying-laser remelting composite technology, respectively. Hot corrosion behaviors of these two coatings in 75%Na2SO4+25%NaCl (mass fraction) fused salts under 850 °C were discussed. Moreover, phases and microstructures of specimens after the corrosion were analyzed by X-ray diffractometer (XRD) and scanning electro microscope (SEM). Effects of laser remelting on hot corrosion resistance of coatings were explored. Results demonstrated that hot corrosion of ceramic coating prepared by plasma spraying is serious, but the hot corrosion resistance can be improved effectively after laser remelting. Laser remelting specimens show the higher hot corrosion resistance for two reasons. On the one hand, laser remelting forms a uniform and dense remelting layer by eliminating the lamellar structures and most pores of the coating layer, thus decreasing the corrosion diffusion channels during hot corrosion. On the other hand, laser remelting changes the metastable-phase γ-Al2O3 into stable-phaseα-Al2O3.
Research on Dilution of Laser Cladding Assisted by Pulsed Current Based on Orthogonal Experiment
Authors: Wang Dongsheng , Zhu Yuanyang , Qu Guang , Zhou Xinhua 
Published: July 2021

AbstractWith characteristics of high cladding efficiency, small grain size and low porosity, follow-up feeding pulse current assisted laser cladding can realize online self-healing of cracks on the cladding layer and get a crack-free cladding layer. It is a very promising new laser cladding technology. In this study, effects of cladding parameters (laser power, scanning speed, powder feed rate, pulse current, pulse frequency and pulse width) on dilution rate of coating were discussed through a six-factor three-level orthogonal experimental design method. Results demonstrated that laser power, scanning speed and powder feed rate can influence dilution ratio greatly, while pulse current, pulse frequency and pulse width influence the dilution ratio slightly. Among the top three major factors, laser power can influence the dilution ratio mostly, followed by powder feed rate and scanning speed. The dilution ratio increases with the increase of laser power, scanning speed and pulse width, but it decreases with the increase of powder feed rate and pulse frequency. With the increase of pulse current, the dilution ratio decreases firstly and then increases.
Optimization Steel ingot Mould’ Riser Height Based on Solidification Simulation
Authors: Yadong Xu , Hongyi Guo , Huichao Ge , Yanan Wang , Yun Zhou 
Published: July 2021

Abstract
Solidification process of 13.5t P91 steel ingot with different riser heights were simulated by software and predicted the distribution of shrinkage cavity. The simulation results showed the shrinkage cavity in the precedent ingots is much deeper. The simulation results is agreement well with experiment results. Therefore, the riser height was designed by solidifation simulation and verified by experiments and the results showed that optimized riser height can eliminate shrikage cavity and improve the quality of steel ingot.
Study on Automobile Front-End Structure Based on Pedestrian Leg Protection
Authors: Liu Meng , Sun Fuzhen , Wang Baoming , Wang Jianfeng , Yang Na 
Published: July 2021

Abstract
According to the pedestrian leg protection regulations, a collision with the simplified finite element model of the leg was carried out on the basis of incorporating EPP foam materials with different foaming rates and cushioning into the simplified front-end structure of the car. The results show that the front-end foam energy-absorbing structure of the vehicle cannot meet the pedestrian leg protection regulations. This paper designs a thin-walled steel structure and applies it to the front-end structure of the vehicle. After collision simulation with a simplified finite element model of the leg, the pedestrian’s tibial acceleration, knee joint shear displacement and knee joint bending angle are compared and analyzed. Pedestrian leg injury parameters, the results show that thin-walled steel structure is more suitable for giving full play to the energy absorption effect in an environment with insufficient energy absorption space than foam energy absorption structure.
Theoretical comparison of rheological properties of high-viscosity municipal sludge and magnetic liquid
Authors: Xing Feifei , Ruican Hao , Tian Xiaoqiang , Ji Jun 
Published: July 2021

Abstract
The composition and structure of sludge determine its complex rheological properties. When the shear stress is small, the deformation of the structural skeleton appears elastic. As the shear stress increases, the structural skeleton begins to break until it is completely destroyed. In this process, it shows viscoelasticity, and its viscosity gradually dominates. A part of the basic fluid flows out from the damaged structural skeleton, causing the sludge to change from deformation to flow, the shear stress at which it starts to flow is called the yield stress. After the flow, the viscosity decreases with the increase of the shear rate, which is called the shear thinning characteristic. Magnetic fluid is a new type of magnetically sensitive smart material. In the past fifty years, a large number of results have been achieved in the research on the rheological properties of magnetic fluids. However, due to the extremely complex anisotropic structure formed inside the magnetic fluid under a magnetic field. At the same time, the macro-rheological experiment lacks systemicity, and it is urgent to integrate the research results obtained by different experimental methods. Even in the field of the most fully studied magnetic viscosity effect, based on strong idealization assumptions the chain-micro-model is widely used, it cannot be used to analyze the results of macroscopic rheological experiments.
Research of The Influence Mechanism of Multi Gradient Printing on Sand Mold Performance
Authors: Zheng LI , Zhongde Shan , Feng Liu , Yuelong Ran 
Published: July 2021

Abstract
In this paper, multi gradient sand mold sample printing was carried out based on the gray printing technology of sand mold 3D printing, and the influence of gradient distribution of resin addition in sand mold on the property of sand mold was studied. The results showed that the increase of resin addition gradient in sand mold would result in the decrease of tensile strength of sand mold with the constant total resin addition. The bending strength and air permeability of sand mold were mainly affected by the surface resin addition and gradient distribution. With increase of surface resin addition, The bending strength of sand mold decreased, and of which the air permeability increased at the same time. And the increase of gradient spacing between adjacent resin addition gradients in sand mold would lead to the increase of sand mold air permeability and the decrease of tensile strength and bending strength. The result also showed that The surface hardness of the sand mold increased with the increase of the resin content of the surface layer, and had nothing to do with the gradient distribution of the resin content.
Wrinkle analysis and optimization of large-scale membrane
Authors: Zhenyu Zhao , Yujia Zeng , Xianpeng Zhang 
Published: July 2021

Abstract
Wrinkles greatly affect the viewing quality of projection screens. Based on the bifurcation buckling theory, a modified model of screen was established. Various methods were introduced to improve the convergence and accuracy of the model. The causes of wrinkles were analyzed. It is found that the crescent wrinkles on side edges were caused by the free boundary conditions while the divergent wrinkles were resulted from the non-uniform displacement of the bottom edge. The simulation and measured results fit well on wave number, amplitude, wavelength, etc. The screen was optimized according to the analysis results and a perfect wrinkle-free screen was achieved after optimization. The method in this paper is proved applicable, accurate and convenient, which can greatly save time and cost for engineering design of large-scale wrinkle-free membrane.
Influence of Material Properties on Tire/Road Noise for Non-destructive Pavement Condition Assessment
Authors: Liu Hao , Zhang Yiying , Xu Zhengwei , Hou Xiaoning 
Published: July 2021

Abstract
With the purpose of using tire/road noise for pavement condition assessment as a non-destructive test method, an investigation on the influence of pavement material characteristics on tire/road noise is conducted. The acoustic data is collected by a directional microphone mounted behind the rear tire on the passenger’s side of a test vehicle, driving over different sections of pavements with different material properties. The tire/road noise under 2000 Hz is extracted to investigate how it is influenced by the pavement features, such as macrotexture, porosity, top-layer thickness, and top-layer stiffness. The macrotexture, which mainly reflects pavement friction, exhibits high relevance to the tire/road noise below 1000 Hz. The top-layer stiffness of pavement could be distinguished from the sound pressure level at peak frequency between 700 ∼ 1300 Hz, the larger stiffness coming with higher amplitude of sound pressure level (SPL) at peak frequency. The results show high potential to assess pavement friction by the tire/road noise starting from macrotexture measurement. Moreover, the consistency of paving quality or sudden change of pavement subsurface structure can be recognized by looking into the spectrum features at peak frequency area of tire/road noise.
Study on penetration performance of Zr-Ti-W alloys under high speed impacting process
Authors: Xing Lina , Liu Xingwei , He Chuan , Li Chenhui , Li Shukui , Liu Jinxu 
Published: July 2021

Abstract
The damage effect of reactive structural materials (RSMs) is one of the focuses in this field. In this study, four new Zr-Ti-W alloys were prepared by adding Ti element on the basis of W-Zr alloys. These alloys have different densities and mechanical properties. The damage effect of these alloys on 18 mm thick Q235 steel plate under the condition of 1600— 1700 m/s impacting speed was investigated. The results show that the penetration power of Zr-Ti-W alloy is mainly affected by the density of the alloy. The higher the density is, the greater the penetration depth and crater diameter of the alloy bullet are. In addition to the high penetration depth and large crater diameter, the 20Ti alloy also exhibits excellent energy-releasing behavior. This alloy has the tremendous potential to be used as reactive fragments in military application. Besides, the Zr-Ti-W alloys designed in this study maintain good integrity under extreme loading conditions, which had successfully overcome the problem of poor overload resistance of W-Zr alloys.
Typomorphic peculiarities of typical metal mineral and its effect on washability
Authors: Wang Jianguo 
Published: July 2021

AbstractThe scale characteristics of metal minerals generally include mineral form, structure, chemical composition, deposit state, crystal development, thermoelectric coefficient, density, common companion minerals, content, crystal cell parameters, particle size, crystal cell parameters, parcel, isotope composition, main trace elements, physical and chemical environment, complex, carrier, and distribution characteristics. Metal mineral scale largely determines the quality of mineral beneficiation, and it is also one of the basis for the division of mining selection process types. The study of metal mineral scale can provide the basis for ore crushing, beneficiation process classification and process parameters. Different types of metal minerals have a great influence on the beneficiation process, index parameters and ore selectivity of nonferrous metallurgy ores, and also receive more and more attention by relevant personnel in the fields of non-ferrous metals resource exploration, metallurgy and the construction of green metal mines. Therefore, the standard characteristics and optional correlation research of typical metal minerals will have a broad application and social benefits in the field of metallurgical materials.
Topology optimization of wheel drive planetary carrier
Authors: Lv Chang , Yang Yu , Zhan Dong an 
Published: July 2021

Abstract
In order to improve the reliability of the wheel drive system and the service life of the transmission system of the large-tonnage mining dump truck, the finite element model of the planetary carrier is established. According to the stress characteristics, the load, and constraint conditions of the main load, the static analysis and modal analysis are carried out. It is found that the maximum deformation and the maximum equivalent stress are small, and the fifth order modal frequency is high, which can further optimize the structure. Based on the SIMP (solid isotopic material with penalization) interpolation model in the variable density method, the mathematical model of multi-objective function for improving stiffness and reducing flexibility is established by using a compromise programming method. The structure topology of the planetary carrier is optimized to find a more reasonable distribution of materials, and the optimized structure is obtained. Based on the optimization results, the new planet carrier was redesigned, and the dynamic and static performance simulation analysis was performed to ensure the rationality of the improved design of the planet carrier structure. The research shows that the simulation results verify the safety and reliability of the structure, the performance of the optimized planetary carrier can meet the requirements, and the mass is reduced by 14.5%. and a new structure is obtained which is better than the original one.
Gear Modification of Hub Drive Reducer Based on Load Spectrum Test
Authors: Lv Chang , Yang Yu , Zhao Wenxiang 
Published: July 2021

Abstract
In order to improve the reliability of hub drive system and the service life of transmission system for large-tonnage dump truck, the load spectrum test and compilation research of a certain type of mining dump truck were carried out, and the synchronous test acquisition of multi-load spectrum signals of mining dump trucks under complex dynamic conditions were completed. By establishing the standard sample of working mode and designing load spectrum architecture, the load spectrum data processing program was developed, and the outputting load spectrum data results were counted. The transmission model was established by Masta software, and the influence of micro-modification on gear performance was analyzed based on the test results. The results show that the contact stress between the planetary gear and the inner ring gear as well as that of the sun gear and the inner ring gear is reduced. The peak-to-peak transmission error of the high and low speed gear pair are reduced by 31.2% and 29.9%, respectively. For the whole working conditions, the contact stress of the low-speed gear decreases obviously. With the increase of torque, the gear pair contact area and the peak value of transmission error also increase.
Identification of panel acoustic contribution based on patch nearfield acoustic holography
Authors: Xiao Yue , Gao Wei , Chu Changbao , Sheng Jing 
Published: July 2021

Abstract
To identify panel acoustic contribution to the interior sound field, a new method using a modified sound field separation technique based on patch nearfield acoustic holography is presented. An improved sound field separation technique with single semi-closed surface covering the panel of interest is proposed to simplify the measurement process. The outward and inward pressures relative to the hologram surface can be separated directly by establishing the relationship between the measured acoustic pressures and calculated values based on the equivalent source method. The acoustic quantities on the vibrating panel surface can be reconstructed from the free radiated field by getting rid of the inward and the scattered field on the surface. The acoustic power on the panel is obtained as a criterion to evaluate the relative contributions to the interior sound field. A numerical simulation of a scaled car cabin model is investigated and the results demonstrate that the proposed method is an available approach for identifying panel acoustic contribution on the vibrating surface of interest to the interior sound field inside a cavity.
High accuracy on-machine inspection based on rotation theory of multi-axis machine tool
Authors: Zhuang Qixin , Wan Neng , Guo Yanheng 
Published: July 2021

Abstract
On-machine inspection is an important technology for the precision fabrication. Plagued by overlapping structure and positioning error from machine tool, it is a challenge to generate an on-machine inspection path. In this paper, a rotation theory is investigated for balancing efficiency and accuracy. Based on the kinematic chain of the machine tool, an accessible space graph is established to demonstrate this theory. The least rotations, the least direction reversions can be recognized from this graph. In term of these principles, an orientation planning method is proposed for the parts with overlapping free-form surface. At last, the advantages of proposed path generation method are verified on an impeller’s on-machine inspection.
Multi-level peer-to-peer collaborative optimization of smart energy system based on big data analysis
Authors: Bin Wang Guo , Fan Zhao Yi , Chao Wang , Chuang Wang Xiao , Jun Ma , Xiao-Dong Li , Li Zhang 
Published: July 2021

Abstract
The emergence of energy internet has changed people’s understanding of energy production, transmission, storage, conversion and consumption. However, how to promote the development of energy Internet, how to integrate it with various existing energy entities, and really play a role, still need more in-depth research and practice. To solve the problem of optimal management and control of energy and power system, a multi-level peer-to-peer collaborative optimization method for smart energy system based on big data analysis is proposed. In the constructed optimization scheduling model, combined with the demand response characteristics of different energy loads, and based on the time-sharing price of energy such as electricity and natural gas, the user IDR response is described in detail from the aspects of load reduction, transferable load and replaceable load, so that it can effectively cooperate with MES equipment in IEGS, thus minimizing the system operation cost. Multi-source energy storage mode is helpful to improve the economic efficiency of smart energy system, reduce the influence of uncertainty on the actual operation of the system, and reduce the power fluctuation burden of power grid.
Study on the Failure of PP+EPDM-TD20 Based on the Criterion of GISSMO
Authors: Zhi Fu , Yihui Guo , Haizhou Hao 
Published: July 2021

Abstract
In this paper, quasi-static and dynamic mechanical experiments or failure experiments were carried out for the PP+EPDM-TD20, which is the main material of a vehicle instrument panel. The elastoplastic model of the material under different strain rates and the GISSMO failure model based on LS-DYNA software had been established. The accuracy of the material elasto-plastic model and the failure model was compared and verified through the convex test and simulation of the head hammer impact on the instrument panel. The results show that the GISSMO failure model considering the strain rate effect and stress state can accurately predict the fracture failure behavior of PP+EPDM-TD20 plastic materials under complex stress states. This research provides reference for the failure prediction of similar plastic parts under impact conditions.
Human motion pattern recognition method and experiment based on dynamic time warping
Authors: Geng Kaijie , Mo Fan , Zhang Hu 
Published: July 2021

Abstract
In order to make the exoskeleton with better wearing effect, it is necessary to improve the exoskeleton motion intention recognition. In this paper, thin-film pressure sensors and inertial sensors are used to acquire human motion information on a wire-driven exoskeleton robot. The lower limb exoskeleton uses DTW (Dynamic Time Wraping) algorithm to recognize four kinds of human motion patterns by comparing the collected data with database features. The result shows that DTW algorithm can effectively recognize human motion patterns.
Adversarial Attacks Technology in Deep Learning Models
Authors: Lai Yucong , Wang Yifeng 
Published: July 2021

Abstract
Deep learning related to computer vision, speech recognition, and language processing has been developing rapidly over recent years. The applications of these models, however, have underlying risks. Recent studies have shown that small perturbation from adversarial examples could result in false interpretation of the neural network examples and false judgment. Therefore, understanding adversarial example technologies is essential for promoting the safety and robustness of neural network models. This paper summarizes current adversarial example technologies in different applications, discusses the current prospects and challenges, and envision potential future developments in related fields.
A Few-shot Learning algorithm based on attention adaptive mechanism
Authors: Fan Yujie , Li Yu , Zhu Aoqi 
Published: July 2021

Abstract
Deep learning has achieved remarkable results in image recognition, semantic segmentation and other fields. However, the primary premise of training deep learning model is the support of a large number of data sets and labeled samples. Therefore, deep learning is still faced with difficulties in medical, military and other areas where high-quality samples are scarce. Based on the image classification task as the application background, this paper improves a measure learning algorithm based on covariance representation. In the original Few-shot Learning algorithm based on measure learning, Firstly, from the perspective of second-order statistics, the covariance matrix between the feature vectors of each sample is constructed to realize the class representation; Then, an attention adaptive module is introduced to adjust the feature vectors of the class representation and query samples to make them closer to the class representation of the corresponding class. Finally, the experiment is carried out on the public data set(Omnight) to verify the effectiveness of the model. The experimental results show that the classification accuracy of the model designed in this paper is 6% higher than that of the Few-shot learning algorithm based on metric learning.
Research on Emotional Music Reconstruction Method Based on DBN-GRU
Authors: Wang Xuemeng , Guo Bin , Ma Xin , Bai Xuemei 
Published: July 2021

Abstract
In the process of music therapy, in order to solve the problems of short music segments with poor emotional adjustment effect and poor emotional perception of patients, this paper proposes an emotional music reconstruction method that combines Deep Belief Networks (DBN) and Gated Recurrent Unit (GRU). According to the emotional music clips fed back by EEG, the high-dimensional features of music were extracted from the DBN network, and the music features were input into the GRU to construct the emotional music reconstruction model. The accuracy of note prediction of reconstructed music is analyzed, and the results show that this method is better than the reconstruction method using GRU alone. An anxiety evaluation experiment of the subjects was designed, and the Self-rating Anxiety Scale (SAS) of the subjects before and after playing reconstructed music was analyzed, thus verifying that the music generated by the emotional music reconstruction method can effectively alleviate anxiety, which is an excellent tool in the field of music therapy.