Journal of Jiangsu University(Natural Science Eidtion)

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Journal of Jiangsu University(Natural Science Eidtion)

	2022 Vol.43 Issue.2 Published 2022-03-10

	125	Development and subjective evaluation of engine mount system based on TPA
		PAN Gongyu, WANG Gongqiang, CHEN Qingshuang, ZHU Rui, LI Dong
		To solve the problem of idle jitter caused by the engine mount system of a front drive passenger car, according to the optimal design results of the mount system, the sample of the mount system was remanufactured based on the transfer path analysis (TPA) model. The static stiffness curve of the sample was obtained on elastomer testing machine. Two test conditions of turning on the air conditioner at idle speed (Idle Ac On) and turning off the air conditioner at idle speed (Idle Ac Off) were selected for the test. The vibration signals of active end, passive end and target response point of the mount were measured by arranging the threeway acceleration sensors to verify the vibration isolation effect of mount and the vibration performance of whole vehicle. The perfectly subjective evaluation test content and evaluation method were also proposed. The results show that the vibration isolation rate of the newly developed mount system and the vibration response of each concerned point in the vehicle can meet the objectives set before optimization. By the newly developed mount system, the good ride quality and driving characteristics to the whole vehicle can be obtained.
		2022 Vol. 43 (2): 125-130 [Abstract] ( 47 ) [HTML 1KB] [ PDF 65408KB] ( 465 )

	131	Integrated antirollover control strategy of minibus
		LI Shengqin, DU Peng, FENG Xinyuan
		To solve the rollover problem of minibus during driving, the parametric model and the vehicle reference model of minibus were established. According to the working principle of active suspension and the dynamic characteristics of differential braking, the antirollover control subsystems of active suspension and differential braking were respectively established to propose the integrated antirollover control strategy. Using the lateral load transfer rate as trigger condition, the active suspension control or the differential braking control was implemented according to the vehicle speed to reduce the vehicle yaw rate and the roll angle of vehicle for achieving the antirollover control. The cosimulation model of integrated control system was established in Matlab/Simulink and CarSim, and the integrated control strategy of antirollover was verified by the simulation test under two typical working conditions of hook test and angle step test. The results show that the integrated antirollover control system can effectively reduce the vehicle′s body roll angle, yaw rate and other parameters under extreme conditions, and the rollover stability of minibus can be improved to reduce the probability of rollover.
		2022 Vol. 43 (2): 131-138 [Abstract] ( 46 ) [HTML 1KB] [ PDF 2107KB] ( 512 )

	139	Numerical simulation of methanol/F-T diesel premixed combustion#br#
		LIU Shuai， YAO Xiaohang， SUN Yong， LIU Zijie， PEI Hao， HE Ren
		CHEMKINPRO chemical kinetic software was applied to construct a simplified kinetic mechanism with 101 components and 692 primitive reactions for methanol/FischerTropsch(F-T) diesel characterization fuelcombustion. The combustion conditions of methanol/F-T diesel fuel during premixed combustion in diesel engines were simulated by the reflected excitation tube model, and the combustion characteristics of methanol/F-T diesel fuel under different initial premixed combustion conditions and different methanol blending ratios were investigated. The simulation results show that with the increasing of initial temperature and initial pressure, each combustion reaction rate is accelerated. The increasing of initial pressure can promote the complete combustion of blended fuel, while the increasing of initial temperature can inhibit the complete combustion of blended fuel. The increasing of equivalence ratio can inhibit the formation of oxygens and promote the formation of hydrogen radicals, which plays an inhibiting role on the combustion reaction of blended fuel. With the increasing of methanol blending ratio, the rate of F-T diesel consumption and the rate of intermediate radical generation are decreased, which can inhibit the combustion of blended fuels with decreased consumption sensitivity of hydro radical and decreased generation sensitivities of hydroxy and oxy radical.
		2022 Vol. 43 (2): 139-146 [Abstract] ( 38 ) [HTML 1KB] [ PDF 3075KB] ( 451 )

	147	Optimization of equivalent fuel consumption minimization strategy based on firefly algorithm
		WANG Wenbin， TIAN Shaopeng， ZHENG Qingxing， LUO Yi
		To improve the fuel economy of hybrid electric vehicles（HEVs）, an optimization of equivalent fuel consumption minimization strategy (EFCMS) was proposed based on firefly algorithm (FA). Taking the parallel hybrid electric vehicle as research object, the equivalent factor of EFCMS and the battery state of charge (SOC) were optimized by FA to realize the equivalent control. A whole vehicle model was established in Matlab/Simulink for simulation. The results show that compared with that before optimization, the fuel saving rates under three working conditions of urban dynamometer driving schedule（UDDS）， new European driving cycle（NEDC）and highway fuel economy test（HWFET） can respectively reach 286%, 255% and 169%. Compared with the traditional algorithms, the fuel consumption of the proposed EFCMS based on FA is effectively decreased, and the battery SOC can be well maintained near the target value.
		2022 Vol. 43 (2): 147-153 [Abstract] ( 37 ) [HTML 1KB] [ PDF 1930KB] ( 566 )

	154	Analysis of activity and stability of Ksupported catalyst on soot oxidation
		TANG Cheng， SUN Ping， LIU Junheng， JI Qian， HUANG Chao
		To reduce the oxidation temperature of diesel soot, the KNO3 and KOH supported nKCe0.5Mn0.5O2(n=005, 020 and 050) catalysts were prepared by citric acid solgel method. Thermogravimetric (TG) and temperature programmed oxidation (TPO) were used to investigate the effects of catalysts on the catalytic oxidation activity and stability of diesel soot. Xray diffractometer (XRD) was used to characterize the catalyst before and after the TPO experiment. The results show that the Ksupported catalyst can reduce the ignition temperature of diesel soot. The 050KOHCe0.5Mn0.5O2 has the best oxidation activity for soot under NO atmosphere among all catalysts. After TPO experiments for 10 times, the 020KNO3Ce0.5Mn0.5O2 catalyst still maintains high catalytic activity with good stability. The diffraction peak of KNO3 does not change, while the diffraction peak of KOH is disappeared, which proves the KNO3supported catalyst has excellent stability. By preparing a catalyst with suitable performance, the temperature required for diesel particulate filter（DPF）regeneration can be effectively reduced with decreased emissions.
		2022 Vol. 43 (2): 154-160 [Abstract] ( 38 ) [HTML 1KB] [ PDF 1958KB] ( 492 )

	161	Driver pose estimation based on dualstream fully convolutional network
		WANG Bin, ZHAO Zuopeng
		To solve the problems of nontarget misdetection and low accuracy under the complex environmental conditions in the cab by the existing pose estimation method, a driver pose estimation method was proposed based on dualstream fully convolutional network(FCN). Two independent FCN branches were established to predict the coordinates of keypoints and the connection information between keypoints, and the hourglass network structure was set in the two branches to enhance the ability of network for extracting key information. In order to further improve the feature extraction capability of the network, the feature maps obtained from the shallow and deep networks were fused. Common objects in context（COCO）data set and driver′s driving situation（DDS）data set were used to verify the detection effect of the proposed method. The experimental results show that the detection accuracies of the proposed method in COCO data set and DDS data set are respective 64.5% and 78.4%, which illuminates that the proposed method is superior to other three comparison algorithms. The proposed method can improve the detection accuracy of the driver posture with good robustness.
		2022 Vol. 43 (2): 161-168 [Abstract] ( 48 ) [HTML 1KB] [ PDF 13469KB] ( 415 )

	169	Dynamic optimal control of greenhouse environment based on improved genetic algorithm
		JIN Chun， MAO Hanping， MA Guoxin， WANG Qirui， SHI Qiang
		To effectively and practically solve the dynamic economic optimal control problem of greenhouse environment with mixed integer variables, an improved genetic algorithm（IGA） with engineering constraint rules was proposed. Based on piecewise constant method for discretizing the control variables, the optimal control problem was transformed into nonlinear programming (NLP) problem with finitedimension parameters, and the standard genetic algorithm (SGA) was used to solve the NLP problem. A precise penalty function was used to deal with the state variable path constraints.The engineering constraint rules and some improvement measures of elite retention, multipopulation parallel evolution and integer variable setting were used to improve the algorithm performance. The simulation results show that compared with SGA, IGA obtains better performance indexes and control quality, which proves the effectiveness and practicability of the proposed method.
		2022 Vol. 43 (2): 169-177 [Abstract] ( 49 ) [HTML 1KB] [ PDF 1809KB] ( 471 )

	178	Dynamic modeling of vibration and collision coupling of cluster system for nondestructive harvesting and transportation of fresh grapes
		LIU Jizhan， YANG Kaiyu
		To explore the mechanism and law of shattering and damage of fresh grape cluster during the whole period of harvesting and transportation,the construction method of vibration and collision coupling dynamic model of grape cluster was investigated.The improved vibration and collision coupling model of rape cluster was proposed based on the original vibration model of grape cluster. According to the proposed model, the vibration dynamic equation of grape cluster was obtained to describe the rachis and fruits based on absolute node coordinate formulate and the branches and fruit stems based on natural coordinate formulation,respectively.The expression of elastic force and stress of rachis and fruits was proposed based on the principle of virtual work and continuum mechanics, and the expression of collision force was obtained based on Hertz model and Kelvin model.The derived expressions were substituted into the vibration dynamic equation of grape cluster to establish the vibration and collision coupling dynamic model of grape cluster, and the solution method was also briefly explained.
		2022 Vol. 43 (2): 178-183 [Abstract] ( 77 ) [HTML 1KB] [ PDF 1713KB] ( 441 )

	184	Simulation of electromagnetic radiation environment in electric tractor
		JIA Shiqi, LIU Mengnan, XU Liyou
		To solve the problems of multiple electromagnetic radiation interference sources and complex electromagnetic environment in electric tractor, a multisoftware cosimulation method was proposed. The threedimensional model was geometrically processed in Hypermesh, and a finite element model was established. Based on the basic theory of electromagnetic radiation, an equivalent electromagnetic model of the main interference source was established in HFSS and FEKO. The electromagnetic radiation performance was simulated and analyzed, and the surface current distribution of the 100 MHz to 550 MHz electric tractor body and the electric field intensity distribution of the driver′s head, chest and feet in cockpit were obtained. The results show that the surface current of the tractor body has local prominent characteristics. The surface current of the front part of body is the largest at about 250 MHz, and the value is 0.50 A·m-1. The surface current of the rear cockpit is the largest at about 450 MHz, and the value is 0.42 A·m-1. The electric field intensity near the feet of tractor is the largest with the value of 1.79 V·m-1, and the corresponding frequency is 122 MHz.
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		2022 Vol. 43 (2): 184-190 [Abstract] ( 41 ) [HTML 1KB] [ PDF 5810KB] ( 518 )

	191	Statistics method of basic seedling based on machine vision
		REN Xingguang， DUAN Na, CHENG Yi, MIAO Zhen
		To reduce the labor cost of basic seedling statistics and improve the statistical efficiency and accuracy, a new statistics method was designed based on machine vision. The regions of interest were determined according to the good properties of images in HSV space. The connected domain was obtained by removing the noise through the image corrosion and expansion algorithm, and the final statistical goal was achieved. The basic seedling images obtained by UAV in a certain area of Xuzhou rice field were converted from RGB space into HSV space, and the regions of interest were obtained through threshold selection to achieve the expected statistical effect. The results show that the effectiveness of the proposed method of basic rice seedling based on machine vision is verified by the experiments, and the statistical efficiency is improved compared with the traditional method.
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		2022 Vol. 43 (2): 191-194 [Abstract] ( 46 ) [HTML 1KB] [ PDF 6095KB] ( 372 )

	195	Multifocus image fusion algorithm based on sparse theory and FFST-GIF
		SHENG Wenshun， SUN Yanwen， ZHANG Huiying
		To solve the problems of fuzzy detail features and poor comprehensive effect of multifocus images after sparse theory fusion, an image fusion algorithm was proposed based on sparse theory and fast finite shearlet transform with guided image filtering (FFST-GIF). FFST was adopted to disassemble the highfrequency and lowfrequency subband coefficients from the original image. The relative standard deviation algorithm of guided filtering was used to fuse the highfrequency coefficients with rich detail information. The K singular value decomposition (K-SVD) method was used to train the complete dictionary for fusing the low-frequency coefficients by combining the sparse theory. The fused high and low frequency subband coefficients were refused through inverse FFST to obtain a new fused image. Based on MATLAB, the brain MRI images in Harvard University database were selected as samples, and the four objective evaluation indexes of average gradient (AG), spatial frequency (SF), mutual information (MI) and edge preserving information transfer factor (QAB/F) were used to compare the proposed algorithm with the multi focus image fusion algorithms based on non-subsampled contourlet transform and pulse coupled neural network. The fusion experiments in different transform domains and different fusion algorithms were completed. The results show that the proposed algorithm has outstanding advantages in objective comprehensive evaluation index and visual effect. The parameters of each evaluation index are greatly improved with AG and QAB/F up to 0.081 3 and 0.793 5, respectively, and the proposed algorithm has good application prospect.
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		2022 Vol. 43 (2): 195-200 [Abstract] ( 54 ) [HTML 1KB] [ PDF 1694KB] ( 434 )

	201	Knowledge mesh recommendation method based on fuzzy rules for course teachinglearning
		ZHU Yuquan， SHI Liang， LI Lei
		To solve the problem that the current recommendation methods could not fully consider the learning objectives of learners and the dynamic uncertainty of learner′s cognitive level, a knowledge mesh recommendation method was proposed based on fuzzy rules. In the proposed method, the teaching experience of the course teacher and the learning path of the learners who had learned the course were respectively formed into each knowledge mesh. The cognitive level of the learners was determined by comprehensively considering the factors of questionmaking time, test difficulty and memory. The similarity between the knowledge meshes was calculated by fusing the matching degree and cognitive level, and the knowledge meshes were clustered by the fuzzy Cmean clustering method. Taking the learning paths of 15 learners as experimental data, the knowledge meshes of W1-W15 were constructed, and the fuzzy cognitive level and membership degree of W1-W15 were calculated. The knowledge mesh with the largest membership degree was optimized and combined into a new knowledge network. The experimental results show that the proposed recommendation method can recommend suitable learning paths for learners′ learning purpose and reasonably reflect learners′ cognitive process.
		2022 Vol. 43 (2): 201-208 [Abstract] ( 37 ) [HTML 1KB] [ PDF 1347KB] ( 441 )

	209	Equilibrium optimization modeling of ground support process for transit flight
		XING Zhiwei, WANG Sibo, LI Biao, LIAN Guan
		To solve the imbalance problem of resource allocation of each link in the ground support process of transit flights, a support process equilibrium optimization model was proposed based on the systematic analysis of link business characteristics and equilibrium influencing elements. The link start time and resource usage were considered to constrain the priority and operation mode for good applicability. Based on the optimization objectives of minimizing the effective deviation, total operation time and comprehensive resource consumption of the links, a model objective function was established to measure the resource balance of each link in the support process. By NSGA-II algorithm with improved chaos and differential evolution, the optimization scheme of the constructed model was solved and designed with the actual operation data of a hub airport in central China. To verify the effectiveness of the model, the optimization scheme was evaluated based on the equilibrium evaluation index. The results show that the equilibrium optimization model is effective in terms of time utilization and resource allocation, and the total operating time is reduced by 10.6% with saving 30.3% of the total amount of idle resources. The evaluation shows that the equilibrium rate is increased by 10.7%, and the time loss coefficient and the resource smoothing coefficient are reduced by 65.7% and 54.7%, respectively.
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		2022 Vol. 43 (2): 209-217 [Abstract] ( 45 ) [HTML 1KB] [ PDF 1829KB] ( 483 )

	218	Modification of filter rods for heatnotburn tobacco by three watersoluble polymers
		ZHANG Jin, ZHANG Jian, CHEN Pengpeng, MAO Changjie, SHI Kangzhong, ZHOU Shun
		To reduce the harmful substances in cigarette, three kinds of watersoluble polymers were selected to modify the filter rods of heatnotburn tobaccos by dipping and freezedrying technology. The three polymers of sodium alginate (SA), polyvinyl alcohol (PVA) and polyethylene glycol (PEG) with different contents were loaded onto the filter rods. The modification effects of the composite filters were evaluated through SEM, suction resistance, CO content, nicotine content, total particulate matter content and tar rejection rate. The results show that the filter rods modified by PEG2 has the best comprehensive performance with little increased suction resistance. The tar content in the flue gas of PEG2 modified filter rods is reduced by 183%, and the total particulate matter content is decreased by 15.62%.
		2022 Vol. 43 (2): 218-223 [Abstract] ( 50 ) [HTML 1KB] [ PDF 9047KB] ( 494 )

	224	Thermal analysis on basic configuration of phase transition energy storage wallboards
		ZHANG Yuan, WEI Yanli, XU Jinfeng
		It is one of the effective ways to solve the problems of high thermal resistance and low thermal capacity by introducing phase change materials (PCMs) into lightweight wallboards for buildings. The enthalpy mathematical model was used to analyze the impact rules on the thermal performance of basic, lightweight and heavy wallboards outfitted with PCMs. The impacts of location and quantity variations of the insulation and PCM layers on the thermal performance of wallboards were investigated. The results show that adequate amount of insulation material in wallboards is the basic guarantee for the energy storage performance of PCMs. To obtain high thermal performance, PCM should be set inside insulation layer. The other material layers, except for the insulation and PCM layers, should be selected with lightweight materials and set as inner layers in wallboards for high thermal performance.
		2022 Vol. 43 (2): 224-229 [Abstract] ( 49 ) [HTML 1KB] [ PDF 2036KB] ( 480 )

	230	Model and test verification on corrosion detection of steel strand based on metal magnetic memory magnetic flux leakage signal
		LI Zhigang， MA Huixiang， ZHOU Jianting， ZHAO Yayu， ZHANG Hong
		The metal magnetic memory technology was introduced to detect the corrosion of steel strand as an important component of cablestayed bridge. Combined with the magnetic dipole model of defect magnetic flux leakage detection, the magnetic flux leakage model of steel strand corrosion defect was established, and the magnetic flux leakage signal finite element numerical simulation and the experimental verification were carried out. Through theoretical research, simulation analysis and experimental verification, the distribution and variation characteristics of magnetic flux leakage signal of steel strand corrosion defects were analyzed, and the discrimination criteria of magnetic flux leakage signal detection of steel strand corrosion was constructed. The results show that there is unique corresponding relationship between the corrosion degree of steel strand and the magnetic flux leakage signal, and the corrosion degree of steel strand can be determined by detecting the magnitude and change of magnetic flux leakage signal around the steel strand. The normalized peak value of magnetic induction intensity for magnetic flux leakage signal and the corrosion degree of steel strand present Boltzmann function distribution, which can be used as the characteristic quantity to judge the corrosion degree of steel strand.
		2022 Vol. 43 (2): 230-234 [Abstract] ( 41 ) [HTML 1KB] [ PDF 1748KB] ( 418 )

	235	Horizontal bearing capacity of pilebucket composite foundation of offshore wind turbine
		ZHOU Enquan, XU Xiang, LU Jianfei
		To improve the bearing capacity of offshore wind turbine foundation, a pilebucket composite foundation with bucket foundation and steel piles was designed. Based on the limit equilibrium method, the theoretical formula of horizontal bearing capacity of pilebucket composite foundation was proposed with considering different pile numbers. The finite element analysis model was established to analyze the bearing capacity of pilebucket composite foundation with different pile numbers, pile diameters and arrangements. The results show that the ultimate bearing capacity of pilebucket composite foundation can be effectively improved for the same steel amounts of foundation. Compared with single bucket foundation, the bearing capacity of bucket foundation with 1 pile is increased by 44.27%, and the bearing capacity of bucket foundation with 3 piles is increased by 35.76%, while the bearing capacity of bucket foundation with 4 piles is increased by 34.73%. Obvious wedgeshaped equilibrium plastic strain is appeared in the soil foundation of the passive area. The more obvious the equilibrium plastic strain is, the higher the load sharing ratio of foundation soil is, and the higher the bearing capacity of foundation is. The high stress area of foundation is mainly concentrated in the top cover of foundation.
		2022 Vol. 43 (2): 235-241 [Abstract] ( 50 ) [HTML 1KB] [ PDF 8357KB] ( 397 )

	242	Dynamic characteristics tests of quartz sand with considering coarse particle content
		YANG Peng, JIN Dandan, ZHAO Yu, WANG Binghui
		The influence of coarsegrain content on the dynamic deformation characteristics of quartz sand was investigated by resonance column test system to simultaneously test dynamic shear modulus and dynamic elastic modulus for particle group of 1.0-2.0 mm coarse grain and 0.1-0.5 mm fine grain. Based on the test results of dynamic shear modulus and dynamic elastic modulus under different strains, the iterative calculation method for dynamic Poisson′s ratio under different strains was established, and the dynamic Poisson′s ratio in a small strain range was calculated. The results show that with the increasing of coarse particle content, the dynamic shear modulus and the dynamic elastic modulus are increased first with latter decreasing when the strain is small. When the coarse particle content is about 50%, the dynamic shear modulus and the dynamic elastic modulus reach the maximum values because the contact states of the two grains of sand reach the best states. In the process of small strains from 10-6 to 10-4, the dynamic Poisson′s ratio is increased from 0.1-0.2 to 0.2-0.3 with significant increasing.
		2022 Vol. 43 (2): 242-248 [Abstract] ( 30 ) [HTML 1KB] [ PDF 2316KB] ( 423 )

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