bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Lightweight Design of Automobile Collision Safety Structure Based on Multiple Materials
Authors: Wang Tingting , Dong Ruoyan , Zhang Shan , Qin Dongchen 
Published: November 2020

Abstract
With the increase in car ownership and the increasing pressure of energy conservation and emission reduction, the lightweighting of cars has become an important development direction for traditional cars to reduce emissions and increase the endurance of electric vehicles. Aiming at the lightweight design of automobile crash safety structure, this paper proposes a variable section and multiple materials vehicle lightweight design framework based on collision safety. Taking a certain type of racing car frame as the research object, the lightweight design is carried out, and the optimal design scheme of racing car frame with good collision safety performance is obtained. Taking the lightest frame mass as the design goal, the optimal latin square design and response surface model are used to optimize the thickness of each pipe frame, and the lightweight frame optimization scheme based on the improvement of collision safety performance is obtained. Finally, under the premise that the peak acceleration of the cockpit is reduced by 20.02% and the amount of intrusion at the brake pedal is reduced by 25.31%, weight reduction of 14.38% is achieved. Based on the actual engineering situation, this paper constructs a lightweight design framework for automobiles based on collision safety, and provides an efficient optimization process for lightweight design of automobiles.
A Discussion of Mathematical Models Used to Simulate the Vertical Mass Flux Profile of the Mega-Dune
Authors: Shi Huanyu , Dong Zhibao , Xiao Nan , Huang Qinni 
Published: November 2020

Abstract
The research of the sand transport profile is significant for the calculation of sediment transport rates and the improvement of previous models. However, there are few suitable mathematical models to simulate the “stratification pattern” of the vertical mass flux profile in sandy lands. The present study measured the sand flux vertical distribution within 30cm height with 2cm division at the windward slope and the top of the mega dune in the hinterland of Badain Jaran Desert in winter and used the method of function fitting to analyze the flux density profiles above each observation site. The results show that: (1) The sand-drift activity at each site of the mega-dune is in the erosional state. (2) Low temperature and snow cover have little effect on the vertical mass flux profile. (3) The slope is the key factor to affect the vertical mass flux profile. It is significant in the middle and upper-middle of the windward slope, the sediment transport rate decreases exponentially with the increase of the height. At the top of the slope, the sediment transport rate increases at the beginning and then decreases with the increase of the height, which is an Extreme function distribution. The present study use suitable mathematical models to simulate the stratification pattern of the sand transport profile in sandy lands, explains the physical significance of each fitting coefficients in the function, discusses the effect of the slope on the vertical mass flux profile, and provides theoretical support for the practice of sand-control.
Code Conversion Method on Process-in-Memory Platform
Authors: Liu Jinhui , Zhao Chen , Du Fangzhou , Liu Xuwen 
Published: November 2020

Abstract
Process-in-Memory (PIM) has become a favorable solution for data intensive applications with its advantages of placing processing units in or near memory, reducing the movement of data between memory and processing unit. However, most recent PIM platforms have relatively large limitations in terms of computing flexibility and types of computing, and programming is complicated, which cannot provide a unified programming framework. Therefore, it becomes a challenge to deploy the code to the hardware, which severely restricts the application development on the PIM platform. This paper presents a method of code conversion based on the PIM platform, which allows users to develop applications on the PIM platform with the high-level programming language, makes the PIM platform more accessible in the development of data intensive applications.
Research on Supply Chain Collaborative Manufacturing Mode
Authors: Li Mengliang , Yang Hong , Guo Xiong 
Published: November 2020

Abstract
In this paper, through the study of supply chain collaborative manufacturing business process and resource interaction mode, around the core production enterprises, from collaborative planning, collaborative procurement, collaborative production, collaborative logistics and collaborative service five supply chain business links. With the support of supply chain collaborative manufacturing platform, the overall competitiveness of supply chain collaborative manufacturing is improved, and the real-time interaction and information sharing of material flow, information flow and capital flow among suppliers, manufacturers and customers are realized.
Numerical Simulation on Perforation of Conical Nose Rigid Projectile into Thick Aluminum Alloy Target
Authors: Xu Ruihuai 
Published: November 2020

Abstract
In this paper, the penetration and perforation process of the conical nose rigid projectile into thick aluminum alloy target was simulated numerically by using finite element method. The residual velocity was obtained by using numerical simulation. Time history of the projectile velocity is presented. Comparison of the present experimental results with numerical data from MSC.DYTRAN code indicates validity of the proposed simulation. The simulation results indicate that in the same conditions, the simulated residual velocity is in generally good agreement with the existing data. It shows the validity and exactness of the numerical simulation.
Numerical Simulation of Characteristics of Spray Flow Field on the Conical Surface
Authors: Chen Shiming , GuichunYang  , Zhou Shuang , Chen Wenzhuo , Guan Jinfa , Chen Yan 
Published: November 2020

Abstract
Aiming at the gas-liquid two-phase flow process in the spray flow field on the conical outer surface, based on Euler-Euler method a spray film forming model is proposed. A polyhedral mesh was utilized to divide the fluid computing domain and the coupled SIMPLE algorithm was adopted to solve the model. The results of show that the spray shape on the outer surface of the cone is similar to that on the outer surface of the arc, and both are in the shape of an elliptical cone; in the area far away from the wall surface, the difference ofsurface has almost no effect on the spray cone angle. In terms of the spraying speeds of the two spraying methods within the area close to the outer surface of the cone, for the circumferential spraying, the spray normal speed is higher than that of spraying along the busbar, and the maximum tangential speed is lower. Meanwhile, both the two speeds are almost equal to that of spraying the arc surface; for spraying along the busbar, the spray normal speed is higher than that of the arc outer surface, and the maximum tangential speed is lower.
A Prediction Model of Online Car-Hailing Demand Based on K-means and SVR
Authors: Chen Bang , Zhou Shenghan , Liu Houxiang , Ji Xinpeng , Zhang Yue , Chang Wenbing , Xiao Yiyong , Pan Xing 
Published: November 2020

Abstract
The paper proposed a prediction model of online car-hailing demand based on K-means and support vector regression (SVR) methods. In the past few years, online car-hailing market demand has grown rapidly, and prediction of rapid demand growth has become a hot topic. This study takes the initial longitude and latitude of online car-hailing orders as the eigenvalues for K-means clustering. The clustering results are taken as the result of area division. The number and size of potential demand areas could be determined automatically. This method of area division solves the shortcomings of traditional artificial meshing division and existing administrative division methods. The model takes a small-sample data set as the application object and uses the SVR method for data regression. Finally, we conduct an empirical study on Didi’s real data set in the core area of Chengdu City, China. The final experimental results suggest that the area division method based on K-means is reasonable and that the demand prediction model based on K-means and SVR is effective.
Research on Heat Conduction Model of Special Equipment Based on Difference Equation
Authors: Tan Jintao , Xia Jie , Gu Musong , Li Li 
Published: November 2020

Abstract
Special equipment plays an important role in the life safety of special operators. With the development of economy and society, the performance requirements of special equipment are higher and higher. In this paper, the fire-proof clothing in special equipment is taken as an example to study the internal temperature change of the fire-proof clothing in high temperature environment and improve the design of the fire-proof clothing. Through Newton’s law of cooling and Fourier’s law, combined with the relevant physical parameters, we establish the heat conduction model of the fire suit, discretize the differential equation in the model, use the chasing and driving method to solve the tridiagonal matrix after discretization, and transform the unknown parameters (heat extraction coefficient) in the model into a two-parameter optimization problem, combining with the classical optimization algorithm—The genetic algorithm is solved. Experiments show that our model can better solve this kind of problems, and the fitting accuracy is increased by 10%. Through the fitting image of the experimental results, we can see the improvement of the accuracy directly. Through the improvement, our model can improve the fitting accuracy, which is of great significance for the design and research of special equipment Fire clothing, and also has certain reference value for solving similar problems.
Study on High Temperature Wear-Resistant Coatings on Surface of Special Steel by Orthogonal Test
Authors: Xu Jingyu , Yuan Zhihua , Zhang Aili , Zhao Junqiang , Zhang Shengnan 
Published: November 2020

Abstract
In order to improve the friction and wear performance of steel under severe service conditions such as high temperature, epoxy resin E-51 resin is used as the base material, graphite, MoS2 and other high temperature wear-resistant materials are used as pigments to prepare a kind of oil-coated high temperature resistant paint. The entropy weight method is used to comprehensively evaluate high temperature wear, thermal weight loss rate, and corrosion current density. The results show that the coating optimized by the entropy weight method has excellent performance. Among them, the high temperature wear rate of the paint film is 0.83%, the thermal weight loss rate at 200 °C is 4.56%, the thermal weight loss rate at 400 °C is 27.84%, and the corrosion current density is 9.31E-9. The alkali resistance of the paint film is far greater than the national standard.
Research on the Definition of Small and Medium-sized Coastal Dry Bulk Shipping Enterprises Based on Data Mining
Authors: Wei Hongbin , Li Yunbo , Gong Jiaye , Du Wenquan 
Published: November 2020

Abstract
Shipping industry is an important part of the transportation industry. Small and medium-sized shipping enterprises play an important part in protecting the internal vitality of the shipping industry. However, there is no research on the definition of large and medium-sized shipping enterprises. Data mining method has become a convenient tool for mining the value of large data. This study first defines of shipping enterprises, and then discusses the definition of small and medium-sized coastal dry bulk shipping enterprises for the first time from the perspective of large data. This study is the first time to apply the cluster analysis method to research the data value of shipping enterprises, aiming to quantitatively define the scale of coastal dry bulk shipping enterprises from the perspective of large data. This research is the first time to establish a data mining model based on large data of shipping enterprises. The shipping capacity data, ship data and financial operation data are selected as data variables. With the selected data variables, data standardization, outlier processing and clustering analysis are carried out step by step. Taking the coastal dry bulk shipping enterprises as an example, the model is analysed. Through data mining, we get the main influence data variables that distinguish large and medium-sized coastal dry bulk shipping enterprises, and get the quantitative definition results of coastal dry bulk shipping enterprises. The research results serve as a basis for further analysis of dry bulk shipping enterprises, and the research method can be used as a tool for the scale classification of other shipping enterprises.
Comprehensive Economic Evaluation of Our Provinces Factor-based Analysis
Authors: Zhang Hongmin , Zhu Manman 
Published: November 2020

Abstract
According to the different conditions of the research objects, 10 indicators of economic representation in 2018 are selected for 31 provinces and cities in the country, and the objective and reasonable data analysis of economic indicators is carried out by using factor analysis method, and the ranking of provinces and cities in the country is obtained according to the level of their comprehensive evaluation scores. According to the score of provincial and municipal indicators, the economic situation of 31 provinces and cities in China is classified and analyzed. And put forward the feasibility suggestion to the economic imbalance of each province and city.
Diverging pond dissolved organic matter characteristics yield similar CO2 flux potentials in a disturbed High Arctic landscape
Authors: Heslop J K , Hung J K Y , Tong H , Simpson M J , Chapman F M , Roulet N , Lafrenière M J , Lamoureux S F 
Published: November 2020

Abstract
Climate warming and permafrost thaw have the potential to shift Arctic carbon (C) cycling dynamics so ponds, which represent over a quarter of northern circumpolar surface water area, may play a larger role in the mineralization of terrestrial C and emission of greenhouse gases (GHG). Here, we constrain how active layer detachments (ALDs) affect C cycling dynamics in High Arctic ponds (n = 19) through the examination of geochemistry, dissolved organic matter (DOM) characteristics, and dissolved GHG concentrations. Summer rainfall events were identified as the primary source of pond water over a 5 week period during the monitored thaw season. We observed two distinct geochemical and DOM composition groups in ponds surrounded by undisturbed, vegetated areas compared to ponds located within the geomorphologically-disturbed ALDs. DOM in undisturbed areas had characteristics suggesting allochthonous origin from modern vegetation. Ponds in the ALDs had lower mean dissolved organic carbon (DOC) concentrations than ponds within undisturbed landscapes, with DOM characterization suggesting greater proportions of autochthonous DOM. Observed differences in DOC concentrations and DOM composition between ponds located within the disturbed and undisturbed landscapes did not translate into significant differences in dissolved CO2 concentrations among pond types. We conclude that our observed changes in DOM composition and characteristics in High Arctic ponds may not result in substantial increases in GHG flux as a result of continued Arctic warming.
Experimental investigation on the strength of chipped rubber-based concrete
Authors: Dhiman S , Garg R , Garg R , Singla S 
Published: November 2020

Abstract
In this research work, the strength and microstructure of chipped rubber-based compressed concrete have been investigated. Chipped rubber has been utilized as an option over coarse aggregate. Chipped rubber at normal instance decreases the durable properties of concrete but the combination of compression testing as well as chipped rubber replacement can significantly affect the strength of the material. During the study, coarse aggregate has been replaced at 0-50% with chipped rubber. The freshly prepared concrete has been condensed in a specially designed mould and after that compression casting technique has been applied. Samples of both compressed chipped rubber as well as uncompressed chipped rubber have been prepared and then examined further for compressive strength, split tensile strength, and abrasion resistance. Microstructures of conventional concrete, compressed rubber concrete, and uncompressed rubber concrete, has also been analyzed. The results show that the concrete with replacement by 20% of chipped rubber gives the significant results for compressive strength and split tensile strength. This proposed method should be implemented by the concrete industry from an environmental point of view.
Effect of surface modification through GTAW on high-temperature performance of 4Cr5MoSiV steel
Authors: Cai Yangchuan , Cui Yan , Zhu Lisong , Geng Keping , Han Jian 
Published: November 2020

Abstract
In the study, the surface modification of 4Cr5MoSiV steel through gas tungsten arc welding (GTAW) was carried out. X-ray diffraction (XRD) and scanning electron microscopy (SEM) were used to investigate the evolution of phases and microstructures before and after the GTAW surface modification treatment. The microhardness, tribological behavior, and high-temperature oxidation property were systematically investigated using the tests regarding microhardness, high-temperature wear, and high-temperature oxidation. GTAW remelting process generated (FCC + BCC) dual phase, which created mutual restriction between the two phases in plastic deformation. Continuous distribution of hard Cr3C2 carbides at grain boundaries could disperse local stresses. The microhardness of the GTAW remelting layer was significantly improved, and the GTAW remelting increased the V element of the free state and formed V2O5 oxide with unique lattice structure in the oxide layer. The high-temperature oxidation performance of the GTAW remelting layer was slightly deteriorated. The high-temperature oxidation duration for the high-temperature wear test was short, and the high hardness of remelting layer and the connective carbides together played the major roles, so GTAW remelting layer had excellent resistance to high-temperature wear resistance.
Interfacial reaction and mechanical properties of diffusion bonded titanium/17-4 PH stainless steel dissimilar joint using a silver interlayer
Authors: Feng Bo , Deng Yongqiang , Feng Xiaowei , Wang Juan , Zheng Kaihong 
Published: November 2020

Abstract
Diffusion bonding of titanium (Ti) to 17-4 PH high strength stainless steel is challenging owing to the formation of brittle Ti-Fe intermetallic compounds (IMCs) at joint interface. In the current study, it was demonstrated that such detrimental Ti-Fe IMCs can be effectively eradicated by using a silver (Ag) interlayer. The diffusion bonded Ti/Ag/17-4 PH stainless steel is characterized by Ti-Ag solid solution, TiAg, remnant Ag interlayer and Ag-(Fe, Cr, Ni) interdiffusion layer. The interfacial reaction phase TiAg exhibited no detrimental effect on bonding strength. During tensile test, ductile fracture took place in the remaining Ag interlayer of resultant joint. Bonding strength up to ∼420 MPa was obtained over bonding durations in the range of 15 ∼ 25 min. It is thus concluded that using an Ag interlayer is highly appealing in improving bonding strength of diffusion bonded Ti/17-4 PH stainless steel dissimilar joint.
Energy dissipation and power deposition of electromagnetic waves in the plasma sheath
Authors: ZHANG Jiahui , JI Xin , YANG Keyuan , SHI Lei , WANG Qingxia 
Published: November 2020

Abstract
Energy dissipation and power deposition of electromagnetic waves (EMW) in the reentry plasma sheath provide an opportunity to investigate ‘communication blackout’ phenomena. Based on a finite element method (FEM) simulation, we analyze variation of EMW energy dissipation and power deposition profiles dependent on the wave polarization, wave incident angle, plasma density profile and electron collision frequency. Cutoff and resonance of EMW in the plasma sheath are crucial in explaining the regulation of energy dissipation and power deposition.
Antisaccade, a predictive marker for freezing of gait in Parkinson’s disease and gait/gaze network connectivity
Authors: Gallea Cécile , Wicki Benoit , Ewenczyk Claire , Rivaud-Péchoux Sophie , Yahia-Cherif Lydia , Pouget Pierre , Vidailhet Marie , Hainque Elodie 
Published: November 2020

Abstract
Freezing of gait is a challenging sign of Parkinson’s disease associated with disease severity and progression and involving the mesencephalic locomotor region. No predictive factor of freezing has been reported so far. The primary objective of this study was to identify predictors of freezing occurrence at 5 years. In addition, we tested whether functional connectivity of the mesencephalic locomotor region could explain the oculomotor factors at baseline that were predictive of freezing onset. We performed a prospective study investigating markers (parkinsonian signs, cognitive status and oculomotor recordings, with a particular focus on the antisaccade latencies) of disease progression at baseline and at 5 years. We identified two groups of patients defined by the onset of freezing at 5 years of follow-up; the ‘Freezer’ group was defined by the onset of freezing in the ON medication condition during follow-up (n = 17), while the ‘non-Freezer’ group did not (n = 8). Whole brain resting-state functional MRI was recorded at baseline to determine how antisaccade latencies were associated with connectivity of the mesencephalic locomotor region networks in patients compared to 25 age-matched healthy volunteers. Results showed that, at baseline and compared to the non-Freezer group, the Freezer group had equivalent motor or cognitive signs, but increased antisaccade latencies (P = 0.008). The 5-year course of freezing of gait was correlated with worsening antisaccade latencies (P = 0.0007). Baseline antisaccade latencies was also predictive of the freezing onset (χ2 = 0.008). Resting state connectivity of mesencephalic locomotor region networks correlated with (i) antisaccade latency differently in patients and healthy volunteers at baseline; and (ii) the further increase of antisaccade latency at 5 years. We concluded that antisaccade latency is a predictive marker of the 5-year onset of freezing of gait. Our study suggests that functional networks associated with gait and gaze control are concurrently altered during the course of the disease.