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Research on Drive Mode and Path Planning of Environmental Self-adaptive Soft Robot
YOU Xiao-dan;SONG Xiao-bo;CHEN Feng;School of Electrical Engineering, Nantong University;Institute of Advanced Manufacturing Technology;Cha racterized by its amazing softness, Soft robot can agilely get through cramped space and has strong ability of self-adaption to unstructured environment. Driving mode and path planning are the keys of soft robot. Its drive mode can be divided into cable driven and wireless drive. The materials used in actuators include pneumatic,shape memory alloys, electroactive polymers and polymer gel etc. Pneumatic and shape memory alloys have low flexibility and low degrees of freedom; while materials, like electroactive polymers and polymeric gel, have high flexibility and high degree of freedom. When the path planning mainly adopts artificial intelligence algorithms, many problems in application are still left to be further researched. Probability path method and impact test are easily trapped in the local minimum point and the most advantage; Genetic algorithm, claimed as easy to be combined with other algorithms, is low in operation efficiency and difficult in online programming and its evolutionary effect is not obvious; Neural network enjoys the reputation of high learning ability, simple calculation, fast convergence speed,but it has poor generalization ability. Now the available intelligent algorithm is only applicable to the particular object and cannot be applied to general deformable objects. So it is necessary to focus on the flexible software robots drive and new path planning algorithm in the future study.
Optimization on Process Parameters About Preparation of Polyaluminum Chloride from Aluminum Ash
SHI Jian,ZOU Kai-yun(Scholl of Chemistry and Chemical Engineering,Nantong University,Nantong 226019,China)Polyaluminum chloride are prepared from aluminum ash by acid dissolution.parameters that influence the performance of PAC,such as reaction temperature,reaction time,aging temperature,aging time,the ratio of aluminum ash,HCl and water,are investigated.The optimum conditions for the preparation of PAC are determined,namely the initial water15ml,ratio of water and acid is 1,dosing quantity is 3 g,react 2 h in 85 ℃,aging 48 h in 50 ℃.The precent of chloride is increased to 12%~14% from the past 6%8%.
Landsat Satellite Image-Based Land Use/Cover Change and Driving Factor Analysis: A Case Study of Nantong
WANG Xing;ZHOU Tong;FAN Ziling;School of Geographical Science,Nantong University;Taking Nantong as the research area, the Landsat series of terrestrial resources satellite imagery is used as the data source, based on ENVI5.3 image analysis and interpretation of ArcGIS 10.2 software and extraction of land use change information, Nantong land use/coverage classification map from 2003 to 2018 is acquired, and the reliability of classification is tested by the Luojia1-01 night light remote sensing image. On this basis, the methods of mathematical statistics and dynamic analysis are used to find out the changes of regional area and explore the mutual transfer relationship between land use types, so as to analyze the driving force of land use change. The results show that from 2003 to 2018 the cultivated land has the highest proportion of the arable land and shows a downward trend,while the construction land enjoys a significant increase, and there is relatively small change in other land areas. The main driving factors behind this are identified as transportation, population and industrial structure.
Research progress and application of platinum-based oxygen reduction electrocatalysts in proton exchange membrane fuel cells
ZHANG Luping;CHEN Sijie;XU Shuya;ZHANG Jingwen;ZHANG Lifang;QIAN Tao;LI TongfeiProton exchange membrane fuel cells(PEMFCs) have broad application prospects under the ″dual carbon″strategy due to their high energy density and low emissions. However, their commercialization process is still constrained by cost and durability, with the main bottleneck being the sluggish kinetics of the cathode oxygen reduction reaction(ORR), which relies on high-loading platinum-based catalysts. Although reducing platinum loading can control costs, it often leads to a decrease in active sites and an increase in mass transfer resistance, resulting in performance degradation. Additionally, the carbon support of platinum catalysts is prone to corrosion, causing structural collapse and affecting lifespan. Based on the PEMFC reaction mechanism, this paper systematically reviews the research progress of cathode electrocatalysts. For platinum-based materials, it focuses on analyzing the quantum size effect of single-atom catalysts, coordination regulation of alloy catalysts, nanostructure design under low loadings, and the relationship between electronic structure and activity revealed by density functional theory(DFT). Research results show that regulating catalyst morphology(such as branched structures and crystal facet orientation), electronic properties(dband center and oxygen binding energy), and support interaction can optimize the ORR pathway and break through traditional activity limitations. In terms of preparation, wet chemical methods, electrodeposition, and vapor deposition techniques significantly affect particle size, defects, strain, and metal-support bonding. Single-atom catalysts require precise control of precursor coordination to achieve atomic-level dispersion, while multi-component alloys rely on temperature-programmed reduction to regulate phase separation and form ordered structures. Future development directions include: constructing three-dimensional nanostructures to enhance specific activity, utilizing strong metal-support interactions to inhibit agglomeration, and combining machine learning to accelerate screening. Meanwhile, developing non-carbon supports(such as oxides and nitrides) and single-atom-cluster composite structures is expected to break through the durability bottleneck. These studies will provide support for the large-scale application of PEMFCs in transportation and distributed power generation fields.
Study on Hysteresis-Band Current Tracking Control of a Single Photovoltaic Grid-Connected Inverter
ZHANG Wei1,TANG Jin-cheng2,YANG Yi1(1.Electrical Engineering Institute of Nantong University,Nantong 226019,China;2.Yancheng Power Supply Company,Yancheng 224002,China)The method of inverter control in 3kW single photovoltaic(PV) grid-connected generation system was studied.A model was created by MATLAB/SIMULINK on the principle of hysteresis-band current tracking control.After the adjustment of the system parameters and the system simulation,the grind-connected voltages and currents were giv-en,in which the power factor is approximate to 1.Meanwhile,the total harmonic distortion(THD) was analyzed.The correlative experiments proved that the experiment data were basically accorded with simulating results.
Core loss prediction method for magnetic components based on machine learning
YAO Qida;PING Peng;ZHU Xinyi;ZHU XinfanMagnetic components play a key role in energy transfer, storage, and filtering, directly affecting the size,weight, loss, and cost of power converters. Therefore, accurate prediction of core loss is essential. To address the significant influence of excitation waveforms on core loss, an ensemble learning-based waveform classification strategy is proposed. Support vector machine(SVM), random forest(RF), and gradient boosting decision tree(GBDT) are used as base classifiers. The classification outputs are combined with original features to construct a new feature set, which is then used to train a meta-classifier to enhance generalization. XGBoost is selected as the core model for core loss prediction. A genetic algorithm is applied for multi-objective optimization to identify the optimal operating condition with minimal core loss and maximal magnetic energy transfer. Experimental results show that the ensemble classification model can accurately classify excitation waveforms. Compared with traditional core loss prediction models and other machine learning methods, the XGBoost model demonstrates higher prediction accuracy and better regression performance. The optimized framework demonstrates the capability to meet both loss reduction and energy efficiency objectives.
Design of the Main Motion Transmission System of General Lathes
ZHANG Jiaqiao;ZHANG Shouyang;NI Hongjun;School of Mechanical Engineering,Nantong University;In order to realize multistage transmission of common lathe and reduce the generation of heat during transmission, a mechanism design scheme for the main motion drive system of a general lathe was proposed. The speed number and speed series were calculated according to the machining requirements of the lathe, firstly. Then, the transmission system mechanism was designed according to the variable speed method. The parameters of key parts such as drive shaft diameter, motor power and gear number were determined, lastly. The whole motion system adopted separated structure, realizing high speed and low speed regulation respectively, with higher efficiency and less heat. The designed mechanism was analyzed by finite element Simulation software Solid works Simulation, and the results showed that the strength, stiffness and other requirements of the design meet the design requirements, and the adjustment of grade 12 speed can be achieved smoothly.
Study on the Synthesis of Benzhydrol by Phase Transfer Catalyst
WANG Shu-qing1,SUN Dong-bing2,CHEN Zhi-ping2,XIA Ming2(1.School of Chemistry and Chemical Engineering,Nantong University,Nantong 226007,China;2.Nantong Huikang International Enterprise CO.,LTD,Nantong 226009,China)The phase transfer catalyzed synthesis of benzhydrol by the reaction of benzophenone and sodium borohydride was studied.The effects of reaction temperature,reaction time,materials ratio and amount of catalyst on the synthesis were explored so that the optimal reaction conditions were turned out as follows: temperature,25 ℃,reaction time,1 h,the ratio of benzophenone to sodium borohydride,1 to 2.5,phase transfer catalyst,0.6 g and solvent,40 mL(with benzophenone 0.1 mol).The yield of benzhydrol reached 97.56%.
Study on Electrochemical Sensors for Heavy Metal Ions Determination
ZHANG Jiaqin;ZHU Xiaoxia;School of Medical, Nantong University;Environmental pollution by heavy metals has become high-profile because of their durability, bioaccumulation and toxicity. Compared with the traditional techniques, electrochemical sensors have the advantages of low cost,high sensitivity, ease of operation, portability, which are more suitable for the on-site detection. Based on the principle of electrochemical sensors, this review mainly presents different types of work electrodes in three-electrode system, different types of materials to modify the surface of working electrodes, the advantages of electrochemical sensors prepared by these materials and proposes that optimization and selection should be carried out in the application of work electrodes and materials. In addition, the future perspectives regarding heavy metal ions determination using electrochemical sensors will develop to the high durability, the microminiaturization, the automation and the multi-functionalization direction.
The Present Situation of Research on the Geo-environmental Evaluation Based on GIS Abroad
ZHAO Jin-ping,JIAO Shu-qiang (College of Environment and Resource,Fuzhou University,Fuzhou350002,China)This paper begins with the basic terminology based on GIS geo_environmental evaluation and related concept,and then discusses the GIS system of geological environmental evaluation from multi-geography of information,model analysis and research.After looking back on the GIS abroad,on the foundation of geological environmental appraisement application,three typical cases are discussedindetail.Simultaneously,the authorgives the presentsituationofresearchonthe geological environmenˉtal evaluation based on GIS abroad.In the end,the author puts forward some views.