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    Information & Control
    Optimal Setting for Hydrometallurgical Whole Process Based on Case-Based Reasoning
    NIU Da-peng, ZANG Ya-li, JIA Ming-xing
    2020, 41 (1):  1-6.  DOI: 10.12068/j.issn.1005-3026.2020.01.001
    Abstract ( 749 )   HTML   PDF (527KB) ( 1005 )  
    The hydrometallurgical whole process has the characteristics of variable working conditions, strong coupling and non-linearity. The process optimization control based on mechanism model is usually difficult to solve, and has difficulty in adapting to changes in working conditions. Thus, a case-based reasoning(CBR)method to optimize the whole process is proposed. Due to the close coupling in hydrometallurgical the production processes, the operation parameters are related to each other, which shows the relationship between the operation parameters of each working condition and the optimal setting value of each adjustment variable. Therefore, the rules between the optimal setting values of each operation parameter and operation variables are searched by mining the association rules of historical data. The mining rules are used in the case correction to solve the problem that rules are difficult to obtain. The simulation results show that this method can improve the economic benefits of the hydrometallurgical whole process.
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    Speech Endpoint Detection Based on Fractal Dimension with Adaptive Threshold
    ZHENG Yan, GAO Shuang
    2020, 41 (1):  7-11.  DOI: 10.12068/j.issn.1005-3026.2020.01.002
    Abstract ( 619 )   HTML   PDF (858KB) ( 815 )  
    Considering the limitation of fixed threshold method in speech endpoint detection, in order to improve the robustness and accuracy of speech endpoint detection under low SNR(signal noise ratio), a novel speech detection algorithm was proposed based on adaptive threshold in fractal dimension. By analyzing the mechanism of speech signal generation, the fractal dimension was applied to the detection of speech starting and ending points, and an adaptive threshold was designed to avoid noise interference and to achieve real-time detection. The simulation results show that, compared with the traditional short-term energy detection algorithm, the proposed algorithm can effectively realize the endpoint detection of noisy speech under the low SNR, and has better robustness to noise interference.
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    GMSDenseNet:Lightweight DenseNet Based on Group Multi-structure Convolution
    YU Chang-yong, HE Xin, QI Xin, MA Hai-tao
    2020, 41 (1):  12-16.  DOI: 10.12068/j.issn.1005-3026.2020.01.003
    Abstract ( 684 )   HTML   PDF (1147KB) ( 687 )  
    A simple and efficient lightweight DenseNet model was proposed, which optimized the parameter redundancy and high FLOPs(floating point operations) in the original DenseNet model. Firstly, the details and characteristics of existing popular convolutional computing units were analyzed. Secondly, the convolutional unit combination with good characteristics was applied to design the multi-structure convolution unit which was used to construct the lightweight DenseNet model. The complexity of this lightweight model and the original DenseNet model was further analyzed. The optimal configuration of the constructed network structure was given according to the experimental results. The results of using the DenseNet-40 model with about 18.8% of FLOPs and 28.4% of the model parameters are obtained, and the accuracy is only reduced by 0.4% at most.
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    A Quantized Pheromone Ant Colony Optimization Algorithm for Feature Selection
    LI Zhan-shan, LIU Zhao-geng, YU Yin, YAN Wen-hao
    2020, 41 (1):  17-22.  DOI: 10.12068/j.issn.1005-3026.2020.01.004
    Abstract ( 675 )   HTML   PDF (379KB) ( 837 )  
    Ant colony optimization algorithms have positive feedback mechanisms and strong searching abilities, which makes them widely used in various kinds of optimization problems. An ant colony optimization algorithm was applied to the field of feature selection and a new quantized pheromone ant colony optimization(QPACO) feature selection algorithm was proposed. Quantum pheromone heuristic strategy was adopted in QPACO algorithm, compared with other ant colony optimization algorithms for feature selection, QPACO algorithm changes the traditional pheromone updating strategy and avoids the local optimization problem when searching for features. In the experimental stage, a KNN classifier was used to guide the learning process, and multiple data sets from the UCI database were used for testing. The experimental results showed that QPACO algorithm has good performances in classification accuracy, precision, recall and feature-reduction.
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    Retrieval of UML Class Diagrams Based on Semantics and Structure
    YUAN Zhong-chen, MA Zong-min
    2020, 41 (1):  23-28.  DOI: 10.12068/j.issn.1005-3026.2020.01.005
    Abstract ( 663 )   HTML   PDF (534KB) ( 609 )  
    The UML class diagram retrieval based on semantics and structure was proposed under the background of software reuse. The reuse model of UML class diagram was constructed and the reuse repository structure of UML class diagram was defined. The conceptual semantic distance of ontology was applied to the semantic similarity measure of UML class diagram and a graph was used to represent the structure of UML class diagram for the structural similarity measure. The retrieval requirements were formalized based on the retrieval procedure and the retrieval algorithm of UML class diagram was proposed. The proposed algorithm was validated from three retrieval types(semantics, structure and hybrids) according to the proposed criteria. The experimental results showed that the proposed algorithm is superior to other methods in terms of both retrieval quality and efficiency.
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    Node Similarity Measurement and Link Prediction Algorithm in Temporal Networks
    CHEN Dong-ming, YUAN Ze-zhi, HUANG Xin-yu, WANG Dong-qi
    2020, 41 (1):  29-35.  DOI: 10.12068/j.issn.1005-3026.2020.01.006
    Abstract ( 704 )   HTML   PDF (432KB) ( 941 )  
    Link prediction in temporal networks was analyzed and discussed in detail. The temporal network was divided into multilayer network snapshot sequences with the same time in chronological order. Aiming at solving the problem of rough granularity obtained by the common-neighbor-based similarity index, similarity indexes NCC and NCCP based on neighbor node clustering coefficient were proposed. Then a link prediction algorithm for temporal networks was designed for networks based on these two indicators. The comparison experiments on real datasets showed that the cluster information of neighbor nodes can improve the prediction accuracy. The superiority of the proposed link prediction algorithm was verified by a real mail dataset, and the experimental results showed that the closer the network structure is to the prediction time, the greater the impact on the prediction results.
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    Adaptive Adjustment of Weights and Search Strategies-Based Whale Optimization Algorithm
    KONG Zhi, YANG Qing-feng, ZHAO Jie, XIONG Jun-jun
    2020, 41 (1):  35-43.  DOI: 10.12068/j.issn.1005-3026.2020.01.007
    Abstract ( 1151 )   HTML   PDF (905KB) ( 1328 )  
    The whale optimization algorithm(WOA) has slow convergence speed and low convergence accuracy and tends to fall into local optimum.In order to solve these problems, a whale optimization algorithm(AWOA) based on adaptive adjustment of weight and search strategy was proposed.An adaptive adjustment of weight with the current distribution of whale population was designed to improve the convergence speed of the algorithm, and an adaptive adjustment of search strategy was designed to improve the ability of the algorithm to jump out of local optimum.Using 23 standard test functions, the algorithm was tested for high-dimensional and low-dimensional problems, respectively.The simulation results showed that the AWOA is generally superior to other improved whale optimization algorithms in terms of convergence accuracy and convergence speed.
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    Learnt Clauses Optimize Method Based on Restart Strategy
    LI Zhuang, LIU Lei, ZHANG Tong-bo, LYU Shuai
    2020, 41 (1):  44-48.  DOI: 10.12068/j.issn.1005-3026.2020.01.008
    Abstract ( 554 )   HTML   PDF (365KB) ( 598 )  
    With the background of optimization of the learnt clauses database, a new optimization method for learnt clauses based on the original MiniSAT solver was proposed. Based on game theory, this method adjusts the growth parameters after several restarts on the basis of the real-time feedback of the current solver, in order to be as close as possible to the balance point of clauses in the learnt clauses database. This makes the storage capacity of the learnt clause database reach the Pareto optimality as much as possible. Experiments showed that the proposed method is effective and outperforms existing optimization methods in random SAT problems. This method neither affects the speed of unit propagation because of too many clauses in the learnt clause database, nor destroys the integrity of learning because of too few clauses in the learnt clause database.
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    Materials & Metallurgy
    Effect of Multi-stage Heat Treatment on Microstructure and Properties of High Strength Steel for Flexible Riser
    ZHANG Da-zheng, GAO Xiu-hua, DU Lin-xiu, WANG Hong-xuan
    2020, 41 (1):  49-54.  DOI: 10.12068/j.issn.1005-3026.2020.01.009
    Abstract ( 510 )   HTML   PDF (3120KB) ( 618 )  
    The microstructure, mechanical properties and hydrogen-induced cracking resistance of high strength steel used for flexible riser after different heat treatments were studied by means of optical microscope(OM), scanning electron microscope(SEM), transmission electron microscope(TEM) and electron back-scattered diffraction(EBSD). The results show that compared with the traditional quenching and tempering treatment, multi-stage heat treatment can refine the microstructure, promote the dispersion of fine precipitates and increase the density of grain boundary so that the strength of the tested steel can be improved greatly. Moreover, since multi-stage heat treatment increases the number of hydrogen traps, reduces the size of precipitates and improves the distribution of hydrogen traps and the hydrogen solubility, the hydrogen-induced cracking resistance of the tested steel is also improved.
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    Characterization and Antibacterial Properties of Li-Doped Nano-TiO2 Antibacterial Material
    SHI Dai, YANG He, XUE Xiang-xin, WANG Mei
    2020, 41 (1):  55-61.  DOI: 10.12068/j.issn.1005-3026.2020.01.010
    Abstract ( 726 )   HTML   PDF (1595KB) ( 825 )  
    Lithium doped titania (Li-TiO2) nano-materials were synthesized by a Sol-gel method. Using E.coli(ATCC 25922) as the target strain, the influences of factors such as doping lithium source, doping amount, surfactant, calcination temperature and other factors on the antibacterial properties of the materials were investigated, and the antibacterial mechanism of the antibacterial materials was discussed. Li-TiO2 nano-materials were characterized by X-ray diffraction(XRD), scanning electronic microscope(SEM)and UV-Vis diffuse reflectance spectra(DRS). The experimental results show that the optimal reaction conditions of Li-doped TiO2 nano-antibacterial materials can be achieved by adjusting the conditions of Li source, doping amount, surfactant type and calcination temperature. It is also found that the optimal antibacterial rate of Li doped TiO2 antibacterial material against E.coli is more than 99.5% and the diameter of its antibacterial ring reaches 2.6cm. The photocatalytic properties of the antibacterial agent are improved by inhibiting the grain growth of the antibacterial agent and expanding the light response range.
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    Adaptive Method for Coiling Temperature Control Model Coupled with Heat Transfer and Phase Transformation
    PENG Liang-gui, XING Jun-fang, CHEN Guo-tao, GONG Dian-yao
    2020, 41 (1):  62-67.  DOI: 10.12068/j.issn.1005-3026.2020.01.011
    Abstract ( 579 )   HTML   PDF (785KB) ( 639 )  
    To realize the online real-time scrolling optimization of the heat transfer learning coefficient and phase transformation rate learning coefficient in a coiling temperature control(CTC) model, the coiling temperature adaptation between strip segments was studied. Firstly, an equilateral triangle of learning coefficient was built, where the initial learning coefficent adopted by strip segment was in its center of gravity. Based on the learning coefficient on the triangle’s vertices, the coiling temperatures were predicted by the strip temperature model and then the first-order partial derivative of each learning coefficient to coiling temperature can be also obtained. Secondly, the instantaneous value of incremental learning coefficient can be calculated on the basis of the computed partial derivative value and temperature deviation between the predicted temperature and the measured one. There after, the instantaneous values were learned according to the learning rate, followed by the data validation and smoothing. Finally, the new incremental learning coefficients were delivered to the CTC model to update the cooling schedule of each strip segment located in laminar cooling zone. The results in practice show that the adaptive learning method can respond quickly to the change of rolling speed and the coiling temperature along the strip can be controlled more accurately.
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    Analysis of Waste Aluminum Recovery in China’s Automobile Industry Based on System Dynamic Model
    YUE Qiang, XUE Meng, ZHANG Yu-jie, LI Shu-peng
    2020, 41 (1):  68-73.  DOI: 10.12068/j.issn.1005-3026.2020.01.012
    Abstract ( 587 )   HTML   PDF (576KB) ( 780 )  
    Analysis of waste aluminum recovery in China’s automobile industry was carried out by a system dynamic model. When the average service life of the automobile assumes to be 12 years, the annual recycling number of the used automobiles in China will be 24.5992 million and the annual recovered aluminum weight from these automobiles will be 1.8242 million tons in 2025. It would be 21.7275 million for the annual recycling number and 1.3459 million tons for the annual recovered aluminum if the average service life of the automobiles becomes 15 years. Meanwhile, there will be 3.5418 million tons of bauxite saved from the recycling. After considering that the recycling ratio of aluminum-containing processed materials, the annual recycling ratio of automobile castings and the annual remanufacturing ratio of automobile castings are 0.9, 0.61 and 0.3, respectively, the annual recovered aluminum of the used automobiles can reach 1.6025 million tons in 2025. It is very helpful to alleviate the shortage of aluminum resources in China and reduce the external dependence of waste scrap aluminum.
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    Mechanical Engineering
    Study on Characteristics of the External Aerodynamic Noise of High-Speed Trains
    JIANG Shi-jie, YANG Song, WEN Bang-chun, ZHAN Ming
    2020, 41 (1):  74-78.  DOI: 10.12068/j.issn.1005-3026.2020.01.013
    Abstract ( 645 )   HTML   PDF (1334KB) ( 746 )  
    The on-line experiments were carried out to illustrate that it is reasonable to simplify the high-speed train model. The turbulent air flow of the train model was simulated, and the far-field aerodynamic noise generated by high-speed trains was predicted. It was found that reasonably shortening the car body will not influence the distribution of the sound power level generated by the train surface. The aerodynamic noise of high-speed trains is a typical broadband noise in a wide frequency scope(0~5000Hz), the simulated aerodynamic noise agrees well with the measurement, and the simulation method is reliable. The turbulence is most severe at the bogie, followed by the nose cone. The air flow on the body surface is most gentle, further confirming the rationality of shortening the train model. The simulation method proposed can provide a basis for structural optimization design of high-speed trains and verify the effectiveness of the aerodynamic noise control method for high-speed trains.
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    Parameter Estimation of the Cumulative Logistic Regression Model Based on the Newton Iteration Method
    YIN Ming-ang, WANG Yu-shuo, SUN Zhi-li, GUO Bing
    2020, 41 (1):  79-83.  DOI: 10.12068/j.issn.1005-3026.2020.01.014
    Abstract ( 546 )   HTML   PDF (406KB) ( 647 )  
    Based on the Newton iteration method, a parameter estimation method of cumulative Logistic regression was proposed. The selection of primary values of iteration, the relationship of sizes of constant coefficients and the singularity of Hessian matrix were analyzed, which are the main problems influencing stypticity in the process of iteration. Through the self-adaptive selection of primary values of iteration and control of the iteration process, the singularity of Hessian matrix was avoided. The data of the bearing database of Case Western Reserve University was used for validation. The experiment results show that the accuracy of model training and verification proposed is higher than that of the statistics software SPSS. Moreover, the robustness of the proposed algorithm is proved by the Booststrap random testing method.
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    Experimental Study on Micro-hole Processing of Nickel-Based Single Crystal Superalloy
    GONG Ya-dong, MENG Fan-tao, SUN Yao, YU Xing-chen
    2020, 41 (1):  84-89.  DOI: 10.12068/j.issn.1005-3026.2020.01.015
    Abstract ( 554 )   HTML   PDF (1751KB) ( 806 )  
    The micro-hole processing test of nickel-based single crystal superalloy was carried out to investigate the effects of electrodes with different diameters and different cross-section shapes on the dimensional accuracy, surface quality, processing efficiency and subsurface damage of micro-holes. The results showed that the processing efficiency of micro-holes processed by the micro-spiral electrode is much larger than that machined by the cylindrical electrode. The processing efficiency of micro-holes machined by the micro-spiral electrode with the 200μm diameter is 17% higher than that by the cylinder electrode of the same diameter processed, and the processing efficiency of micro-holes processed by the micro-spiral electrode with the 300μm diameter can be increased by 30.56%. The micro-hole reaming machined by the micro-spiral electrode is smaller than that made by the cylindrical electrode, and the quality of the pore wall obtained by the micro-spiral electrode is better than that machined by the cylindrical electrode. The subsurface damage layer of the micro-hole processed by the micro-spiral electrode is continuous and the thickness is smaller than that of the micro-hole processed by the cylindrical electrode.
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    Control Strategy and Method for Variable Polishing Force Adapting to the 5-Axis Machining Trajectory
    SHI Jia-shun, Dong Jin-long, LIU Cong, YU Tian-biao
    2020, 41 (1):  89-94.  DOI: 10.12068/j.issn.1005-3026.2020.01.016
    Abstract ( 562 )   HTML   PDF (1231KB) ( 764 )  
    A pneumatic polishing force loading control system based on high speed on/off controlled by pulse-width modulation(PWM) signals was designed. The control system was adjusted by the moving average filter PID control method. PID parameters were determined by Simulink simulation and experiment, so the dynamic property of the system was improved to ensure the control requirement of variable polishing force. Assisted by a 3-TPS hybrid robot, a 5-axis variable polishing force experiment system was built, and the experiment of variable polishing force adapting to the 5-axis machining trajectory was conducted. The experiment results illustrate that the moving average filtering PID control can quickly respond as the setting force changes and the measure force value can quickly track the changing setting value. The average error of the force is about ±1N with a small fluctuation range. The control system has enough stability and accuracy to satisfy the control requirement of variable polishing force. Variable polishing force adapting to the 5-axis machining trajectory is thus achieved.
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    Numerical Simulation of Thermal-Fluid Coupling in Ultrasonic Vibration Assisted Friction Surfacing
    REN Zhao-hui, ZHANG Yan, JU Jian-zhong, ZHANG Lu
    2020, 41 (1):  95-100.  DOI: 10.12068/j.issn.1005-3026.2020.01.017
    Abstract ( 521 )   HTML   PDF (1762KB) ( 634 )  
    Traditional friction surfacing has a single energy input form. As the strength of the welded material increases, the larger axial pressure and torque need to be applied during the surfacing process, which greatly limit its application. In order to solve the above problem, a new ultrasonic vibration assisted friction surfacing technology with ultrasonic vibration applied to the substrate in front of the consumable rod was presented. Taking Ti-6Al-4V as the research object, a three-dimensional numerical model of thermal-fluid coupling was established based on the ultrasonic softening effect. The effects of ultrasonic vibration with different amplitudes on the temperature field and material flow behavior were quantitatively analyzed. The calculation results show that the preheating effect of ultrasonic vibration is not obvious. With the increase of amplitude, ultrasonic vibration can significantly increase the flow velocity of plastic material in the fusion zone, decrease the material’s viscosity and expand the flow region of plastic material.
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    Residual Stress in Soldering and Brazing Between Cemented Carbide and Steel Substrate of Shield Machine Cutters
    XIA Yi-min, TONG Lei, BAI Bin, HUA Wei-ming
    2020, 41 (1):  101-107.  DOI: 10.12068/j.issn.1005-3026.2020.01.018
    Abstract ( 588 )   HTML   PDF (1330KB) ( 659 )  
    Aiming at the problem that shield machine cutters are prone to welding cracks and the residual stress is too large, which leads to the alloy spalling easily in the cutting process of cutters, the finite element analysis model of the brazing process of cutters was established, and the brazing temperature field and residual stress field of cutters with different welding structures were studied through simulation calculation and X-ray diffractometer experimental verification. The results show that the temperature field presents a gradient distribution in the cooling process after brazing the cutter head. When the thickness of the solder is 0.25mm, the residual stress in the dangerous area of cutter head stress is the smallest. The number of cemented carbide blocks of 160mm blade width cutters is designed as 3 pieces to reduce welding residual stress and improve welding strength. The results of residual stress test are basically consistent with the numerical simulation results, and the surface of steel matrix is compressive stress.
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    Influence of Adsorbed Micro-particles on Micro-suspended Bridge Sensor
    MA Shu-jun, WANG Xiao-xiao
    2020, 41 (1):  108-112.  DOI: 10.12068/j.issn.1005-3026.2020.01.019
    Abstract ( 538 )   HTML   PDF (581KB) ( 632 )  
    In order to further improve the detection accuracy of the sensor, a systematic theoretical investigation on the vibration characteristics of a nanomechanical sensor with a micro-particle adsorbed at various positions was carried out. Taking the typical micro-suspended bridge structure as the research object, considering the influence of the particle’s own mass, and using the perturbation theory, the expression of the exact mode shape and the corresponding resonant frequency of the loaded micro-suspended bridge was obtained. By this method, the relationship between the mass of the adsorbed particles and the dynamic characteristics of the micro-suspended bridge can be easily determined. The results show that the particle with larger mass has a great influence on the performance of the micro-suspended bridge. With the increase of the mass of the particle to be tested, the change of the mode shape of the micro-suspended bridge cannot be ignored. Finally, the accuracy of the result was verified by finite element simulation.
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    Running Analysis of Quadruped Robot with Flexible Spine
    MA Zong-li, MA Qing-ying, LYU Rong-ji, WANG Jian-ming
    2020, 41 (1):  113-118.  DOI: 10.12068/j.issn.1005-3026.2020.01.020
    Abstract ( 745 )   HTML   PDF (791KB) ( 734 )  
    In order to improve the running performance of quadruped robot, a quadruped robot with flexible spine was designed. The flexible spine was composed of two parallel rubber rods and a driving hydraulic cylinder. By controlling the expansion and contraction of the driving hydraulic cylinder, the two parallel rubber rods can be bent up and down. The influence of the flexible spine of the quadruped robot on step length was analyzed. Based on a CPG control method of the Hopf model, the expressions of the amplitude of the joint drive curve of the hip joint and the knee joint were derived. Meanwhile, through the reconstruction of the network topology, the spine drive signal was coupled with the joint drive signal of each leg.Finally, the bound gait simulation of the quadruped robot was done by using the Adams and MATLAB/Simulink softwares. The simulation results show that the running performance of the quadruped robot with flexible spine is obviously improved.
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    Resources & Civil Engineering
    Induced Caving Mechanism of Multi-mined-out Areas Layered Orebody and Optimization of Undercut Schemes
    CAO Jian-li, TAN Bao-hui, LIU Yang, REN Feng-yu
    2020, 41 (1):  119-124.  DOI: 10.12068/j.issn.1005-3026.2020.01.021
    Abstract ( 566 )   HTML   PDF (1798KB) ( 578 )  
    A technical scheme of mining multi-mined-out areas layered orebody based on induced caving method(ICM) was proposed, and 3DEC software was used to study the mechanism and law of induced caving. Four different withdrawal sequences were designed and simulated by the 3DEC software. The results showed that the larger the number of mined-out areas around the pillar and the smaller the size of the pillar, the more easily the cracks form in the pillar due to stress concentration. Once the crack connected with the bedding plane, the falling of the orebody begins. If the undercutting project is arranged at the bottom of the most vulnerable pillar and the undercutting area is continuously expanded from the pillar to the surrounding area, the continuous caving of orebody can occur in the shortest time. In this way, the safe and efficient mining of multi-mined-out orebody can be realized.
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    Error Correction and Deformation Analysis of GB-SAR Monitoring Based on the Multiple Regression Model
    MAO Ya-chun, CAO Wang, ZHAO Zhan-guo, XU Mao-lin
    2020, 41 (1):  125-130.  DOI: 10.12068/j.issn.1005-3026.2020.01.022
    Abstract ( 622 )   HTML   PDF (1969KB) ( 717 )  
    Aiming at the key problem of low precision of the deformation data due to the inaccurate correction of the original image interference phase error based on the ground-based synthetic aperture radar(GB-SAR) in open pit slope, the sources and distribution characteristics of interference phase error in original image were analyzed with the original GB-SAR image of Malanzhuang open-pit iron mine as the data source. The method of extracting PS points and high-quality PS points by using triple threshold was also proposed. In addition, a multi-regression model was established based on the high-quality PS point phase and pixel coordinates. According to the model, the PS point phase was corrected to obtain the accurate deformation phase and the single image deformation, and the superposition deformation analysis was performed on the time series. The results show that the GB-SAR deformation monitoring error correction method based on multiple regression model can accurately correct the GB-SAR deformation monitoring error and improve the accuracy of deformation monitoring data.
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    Quantitative Structure-Activity Relationship of Amine Collector Adsorption on Quartz Surface
    WANG Ben-ying, XU Xin-yang, DUAN Hao, CHEN Xi
    2020, 41 (1):  131-136.  DOI: 10.12068/j.issn.1005-3026.2020.01.023
    Abstract ( 580 )   HTML   PDF (420KB) ( 931 )  
    In order to understand the relationship between adsorption energy of amine collectors on quartz surface and their molecular structure parameters, quantitative structure-activity relationship (QSAR) model based on 20 different collectors was constructed using genetic algorithm. This model with correlation coefficient of R2=0.969, adjustment coefficient of R2ad=0.964, cross validation factor of R2cv=0.955, and salience value of F=168.429 was fitted well with the calculated simulation results. External validation was carried out with four chosen amine collectors, and the error was less than 5%. The results indicated that the model has good predictability, which can be used to predict the adsorption energy of amine collectors on quartz surface.
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    Study on Ignition and Flame Spread Characteristics of Micron and Nano Titanium Dust Layers
    CAI Jing-zhi, YUAN Chun-miao, MENG Fan-yi, LI Chang
    2020, 41 (1):  137-142.  DOI: 10.12068/j.issn.1005-3026.2020.01.024
    Abstract ( 689 )   HTML   PDF (1648KB) ( 830 )  
    In order to understand the layer fire hazard of fine titanium powders, the minimum ignition temperature(MIT) and flame spread velocity(FSV) of micron and nano titanium dust layers were studied by using standard hot plate test device and self-made dust layer flame spread experimental device. The applicability of thermal explosion theory model and FSV model was verified. The results showed that the minimum ignition temperature of titanium dust layer decreases with the decrease of particle size, and the MIT of 33μm titanium powder and 60~80nm titanium powder dust layer are >400℃ and 230℃, respectively, which are basically in consistent with calculation results of Thomas model. The fire hazard of titanium powder layer is greatly affected by particle size. The experimental results showed that the FSV of the dust layer of micron and nano titanium powder are 13.60 and 500.57mm/s, respectively, which are larger than those calculated by the theoretical model. The results can be used as reference for fire safety evaluation and industrial fire protection design of fine titanium powder.
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    Management Science
    Effect of Investor Sentiment on Stock Prices from the Perspective of Spatial Interaction
    JIANG Shang-wei, JIN Xiu
    2020, 41 (1):  143-147.  DOI: 10.12068/j.issn.1005-3026.2020.01.025
    Abstract ( 617 )   HTML   PDF (444KB) ( 632 )  
    The spatial weight matrix reflecting spatial interaction was constructed from the two aspects of economic distance measured by consumption coefficient and geographic distance to study the effect of investor sentiment on stock prices from the perspective of spatial interaction. The results show that there is significant spatial interaction between stocks in the financial market, and the spatial interaction is more sensitive to economic distance than geographic distance. The spatial cross-sectional regression model is superior to the traditional cross-sectional regression model in explaining the effect of investor sentiment on stock prices. The conclusion reminds investors that in the process of asset pricing and transaction decision-making, it is necessary to fully understand the potential spatial interaction.
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    Biologic Engineering
    Rheological Characteristics Analysis of Blood Flow at the Site of Vascular Lesion Based on CFD
    LU Ye, ZHANG Shu-sheng
    2020, 41 (1):  148-152.  DOI: 10.12068/j.issn.1005-3026.2020.01.026
    Abstract ( 715 )   HTML   PDF (1074KB) ( 1241 )  
    In order to study the influence of vasculopathy on hemodynamic characteristics of blood flow, the blood flow characteristics were studied before and after changes took place in blood vessel structure. A method of comparative study focusing on the blood flow characteristics in artery with and without atherosclerosis was proposed. The geometry model was established based on data taken from tomography scan. Geomagic Studio was used to convert the pathological blood vessel model back into healthy vessel model. The blood flow characteristics were investigated based on the condition of pulsatile blood stream flowing in elastic vessel. The blood flow field in bifurcation region was simulated with ANSYS software adopting Newtonian mechanical model. Result indicates that the lesion site on vessel wall suffers larger shear stress. Secondary flow occurs in the distal end of lesion site with low flow velocity, low shear stress and higher pressure difference, which indicates that the atherosclerosis will be further affected.
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