Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
Display Method:
2023, 37(4): 335-342.
doi: 10.12299/jsues.22-0242
Abstract:
A frustum of a cone for dimethyl ether (DME) steam reforming hydrogen production was designed, and the numerical model of DME steam reforming hydrogen production reaction system was established. The numerical model was solved by COMSOL software, the numerical results of simulation and experiment were basically consistent. By optimizing the structure of the reforming reactor, higher DME conversion rate was obtained. The influence of the cone change on the reforming reaction , and the influence of reaction conditions on DME conversion and hydrogen production were analyzed. The results showed that higher hydrogen yield and thermal efficiency can be obtained When increasing the taper within a certain range. Through structural optimization, the DME steam reforming reaction system can obtain 92.21% DME conversion and 90.54% hydrogen production rate. The highest thermal efficiency is 74.6%.
A frustum of a cone for dimethyl ether (DME) steam reforming hydrogen production was designed, and the numerical model of DME steam reforming hydrogen production reaction system was established. The numerical model was solved by COMSOL software, the numerical results of simulation and experiment were basically consistent. By optimizing the structure of the reforming reactor, higher DME conversion rate was obtained. The influence of the cone change on the reforming reaction , and the influence of reaction conditions on DME conversion and hydrogen production were analyzed. The results showed that higher hydrogen yield and thermal efficiency can be obtained When increasing the taper within a certain range. Through structural optimization, the DME steam reforming reaction system can obtain 92.21% DME conversion and 90.54% hydrogen production rate. The highest thermal efficiency is 74.6%.
2023, 37(4): 343-350.
doi: 10.12299/jsues.22-0199
Abstract:
A series of metal Cu-modified hierarchical flower-like TiO2 catalysts (X% Cu/TiO2) was prepared by using an alcoholysis solvothermal method, and their photocatalytic performance were evaluated by using visible-light photocatalytic reduction of nitrobenzene to aniline as a model reaction. The results show that 3.3% Cu/TiO2 photocatalyst exhibits excellent catalytic activity, achieving 83% nitrobenzene conversion under visible-light irradiation for 3.0 h. There are two main attributions : firstly, the hierarchical structure enlarged the catalyst’s surface area and thus, improved the adsorption and diffusion of nitrobenzene and its contact efficiency with catalyst; secondly, the introduction of metal Cu reduced the catalyst’ energy band and enhanced the separation ability of photoelectron-hole, and thus enhanced the photocatalytic activity. In addition, 3.3% Cu/TiO2 also exhibits good stability and shows good potential in practical applications.
A series of metal Cu-modified hierarchical flower-like TiO2 catalysts (X% Cu/TiO2) was prepared by using an alcoholysis solvothermal method, and their photocatalytic performance were evaluated by using visible-light photocatalytic reduction of nitrobenzene to aniline as a model reaction. The results show that 3.3% Cu/TiO2 photocatalyst exhibits excellent catalytic activity, achieving 83% nitrobenzene conversion under visible-light irradiation for 3.0 h. There are two main attributions : firstly, the hierarchical structure enlarged the catalyst’s surface area and thus, improved the adsorption and diffusion of nitrobenzene and its contact efficiency with catalyst; secondly, the introduction of metal Cu reduced the catalyst’ energy band and enhanced the separation ability of photoelectron-hole, and thus enhanced the photocatalytic activity. In addition, 3.3% Cu/TiO2 also exhibits good stability and shows good potential in practical applications.
2023, 37(4): 351-358.
doi: 10.12299/jsues.22-0190
Abstract:
Nitrogen-doped titanium dioxide (N-TiO2) photocatalyst was synthesized by mechanochemical, hydrolysis precipitation and sol-gel method respectively. With the application of Methylene blue (MB) and tetraccycline hydrochloride (TTC) as the target pollutants, N-TiO2-H synthesized by hydrolysis precipitation method has high photocatalysis activity under blue LED irradiation, uniform particle distribution and no agglomeration. Therefore, N-TiO2-H was selected to study the effects of calcination temperature, catalyst dosage, pH and initial concentration of organic pollutants by photocatalysis. The results showed that N-TiO2-H calcined at 400 ℃ had the best photocatalytic activity under blue LED light irradiation. Under the dosage of 0.5 g/L N-TiO2-H, the photocatalytic degradation of MB with initial concentration of 5 mg/L, pH=7, MB removal was 89.7% after 2 h, and the photocatalytic degradation of TTC with initial concentration of 50 mg/L, pH=5, TTC removal was 75.2% after 1.5 h.
Nitrogen-doped titanium dioxide (N-TiO2) photocatalyst was synthesized by mechanochemical, hydrolysis precipitation and sol-gel method respectively. With the application of Methylene blue (MB) and tetraccycline hydrochloride (TTC) as the target pollutants, N-TiO2-H synthesized by hydrolysis precipitation method has high photocatalysis activity under blue LED irradiation, uniform particle distribution and no agglomeration. Therefore, N-TiO2-H was selected to study the effects of calcination temperature, catalyst dosage, pH and initial concentration of organic pollutants by photocatalysis. The results showed that N-TiO2-H calcined at 400 ℃ had the best photocatalytic activity under blue LED light irradiation. Under the dosage of 0.5 g/L N-TiO2-H, the photocatalytic degradation of MB with initial concentration of 5 mg/L, pH=7, MB removal was 89.7% after 2 h, and the photocatalytic degradation of TTC with initial concentration of 50 mg/L, pH=5, TTC removal was 75.2% after 1.5 h.
2023, 37(4): 359-362.
doi: 10.12299/jsues.22-0329
Abstract:
Tribo-material is one of the most critical components in triboelectric nanogenerators (TENG). NiFe2O4/BaTiO3 nanoparticles were filled into polydimethylsiloxane (PDMS), and the effects of two inorganic materials as fillers on generator output performance were studied in order to obtain a flexible triboelectric nanogenerator with higher output performance. It was found that both NiFe2O4 and BaTiO3 ceramic particles were polycrystalline and well-crystallized. Both nanoparticles could effectively enhance the electrical output value of PDMS. In particular, the output voltage of NiFe2O4/BaTiO3/PDMS composite film was significantly higher than that of PDMS film. The NiFe2O4/BaTiO3/PDMS composite film with a weight ratio of 7.5∶2.5∶90 possessed the highest output voltage.
Tribo-material is one of the most critical components in triboelectric nanogenerators (TENG). NiFe2O4/BaTiO3 nanoparticles were filled into polydimethylsiloxane (PDMS), and the effects of two inorganic materials as fillers on generator output performance were studied in order to obtain a flexible triboelectric nanogenerator with higher output performance. It was found that both NiFe2O4 and BaTiO3 ceramic particles were polycrystalline and well-crystallized. Both nanoparticles could effectively enhance the electrical output value of PDMS. In particular, the output voltage of NiFe2O4/BaTiO3/PDMS composite film was significantly higher than that of PDMS film. The NiFe2O4/BaTiO3/PDMS composite film with a weight ratio of 7.5∶2.5∶90 possessed the highest output voltage.
Study on preparation and tribological properties of PTFE composite lubricant based on uniform design
2023, 37(4): 363-367.
doi: 10.12299/jsues.21-0228
Abstract:
A new type of composite lubricant was prepared and its friction and wear characteristics were studied. The lubricant formula was optimized through the uniform design method, a model was established with SPSS and Matlab softwares, and results were analyzed by Intuitive analysis and regression analysis. The polytetrafluoroethylene (PTFE) was added to prepare a new type of composite lubricant p2, the lubricant contact friction status was analyzed to determine whether the friction coefficient of the contact surface had significantly reduced, and various properties of the metal were further analyzed. The results show that friction coefficients of lubricant p2 added with PTFE have reduced by 51.26% and 29.81% compared with dry friction and lubricant p1 respectively. Observing the morphology of the wear scars, it is found that the friction film can make the metal flow more uniform during the forming process, reduce the deformation force, and effectively avoid a variety of forming defects.
A new type of composite lubricant was prepared and its friction and wear characteristics were studied. The lubricant formula was optimized through the uniform design method, a model was established with SPSS and Matlab softwares, and results were analyzed by Intuitive analysis and regression analysis. The polytetrafluoroethylene (PTFE) was added to prepare a new type of composite lubricant p2, the lubricant contact friction status was analyzed to determine whether the friction coefficient of the contact surface had significantly reduced, and various properties of the metal were further analyzed. The results show that friction coefficients of lubricant p2 added with PTFE have reduced by 51.26% and 29.81% compared with dry friction and lubricant p1 respectively. Observing the morphology of the wear scars, it is found that the friction film can make the metal flow more uniform during the forming process, reduce the deformation force, and effectively avoid a variety of forming defects.
2023, 37(4): 368-371.
doi: 10.12299/jsues.22-0331
Abstract:
An aluminum alloy laser-cold metal transfer (CMT) hybrid welding experiment platform and a high-speed camera acquisition platform were established to study the droplet characteristics of aluminum alloy laser-CMT welding process. By changing the laser power, the high speed images of CMT droplet transition under different welding parameters were obtained. Comparative analysis shows that when the laser power is small, the laser mainly plays the role of guiding arc, and has little influence on CMT arc. The welding process is stable and good weld formation can be obtained. When the laser power is large, it will affect the original short circuit transition of CMT, resulting in droplet splashing and other conditions, and lead to poor weld formation. The result shows that keeping the effective distance between the welding wire and the laser and controlling the laser power are the key to ensure the stability of the laser-CMT composite welding process.
An aluminum alloy laser-cold metal transfer (CMT) hybrid welding experiment platform and a high-speed camera acquisition platform were established to study the droplet characteristics of aluminum alloy laser-CMT welding process. By changing the laser power, the high speed images of CMT droplet transition under different welding parameters were obtained. Comparative analysis shows that when the laser power is small, the laser mainly plays the role of guiding arc, and has little influence on CMT arc. The welding process is stable and good weld formation can be obtained. When the laser power is large, it will affect the original short circuit transition of CMT, resulting in droplet splashing and other conditions, and lead to poor weld formation. The result shows that keeping the effective distance between the welding wire and the laser and controlling the laser power are the key to ensure the stability of the laser-CMT composite welding process.
2023, 37(4): 372-379, 408.
doi: 10.12299/jsues.22-0209
Abstract:
A novel adaptive lateral optimal tracking control algorithm for real-time estimation of tire lateral stiffness was proposed. The approximate linear range of tire lateral forces were altered with variation in road surface adhesion coefficients, rendering tire lateral stiffness estimations based on linear approximations unreliable. Utilizing the recursive least squares algorithm and taking tire slip angle and lateral force as inputs, the tire's lateral stiffness was estimated in real time and an adaptive linear quadratic regulator (ALQR) controller was developed. The effectiveness and robustness of the algorithm were validated on a joint simulation platform combining Matlab/Simulink and Carsim. The results demonstrated that under various road surface adhesion conditions and at different vehicle speeds, the performance of the designed control algorithm consistently surpassed that of the traditional linear quadratic regulator (LQR) control algorithm. Specifically, the maximum lateral position error and yaw angle error were reduced by 81.5% and 73.0%, respectively. Real-vehicle tests empirically validated the practical applicability and effectiveness of the algorithm, with the maximum trajectory tracking error being only 0.56 m.
A novel adaptive lateral optimal tracking control algorithm for real-time estimation of tire lateral stiffness was proposed. The approximate linear range of tire lateral forces were altered with variation in road surface adhesion coefficients, rendering tire lateral stiffness estimations based on linear approximations unreliable. Utilizing the recursive least squares algorithm and taking tire slip angle and lateral force as inputs, the tire's lateral stiffness was estimated in real time and an adaptive linear quadratic regulator (ALQR) controller was developed. The effectiveness and robustness of the algorithm were validated on a joint simulation platform combining Matlab/Simulink and Carsim. The results demonstrated that under various road surface adhesion conditions and at different vehicle speeds, the performance of the designed control algorithm consistently surpassed that of the traditional linear quadratic regulator (LQR) control algorithm. Specifically, the maximum lateral position error and yaw angle error were reduced by 81.5% and 73.0%, respectively. Real-vehicle tests empirically validated the practical applicability and effectiveness of the algorithm, with the maximum trajectory tracking error being only 0.56 m.
2023, 37(4): 380-386.
doi: 10.12299/jsues.23-0069
Abstract:
In a traditional industry, automotive paint repair is dominated by manual labor, which has problems such as high labor intensity, low efficiency and poor consistency. Combining the experience of manual sanding, the algorithm of generating the damaged car surface repair sanding area was designed based on the extraction of the damaged car surface contour. Firstly, the edge detection operator and convex hull algorithm were used to extract the contour of the damaged paint surface, then the convex package algorithm was used to pre-generate the contour, and then the contour was improved to generate the final car surface repair sanding area. By comparing the actual manual sanding area and the algorithm-generated sanding area, it shows that the sanding area generated by the algorithm is more accurate and meets the basic sanding requirements, which can provide a theoretical basis for the realization of automated sanding.
In a traditional industry, automotive paint repair is dominated by manual labor, which has problems such as high labor intensity, low efficiency and poor consistency. Combining the experience of manual sanding, the algorithm of generating the damaged car surface repair sanding area was designed based on the extraction of the damaged car surface contour. Firstly, the edge detection operator and convex hull algorithm were used to extract the contour of the damaged paint surface, then the convex package algorithm was used to pre-generate the contour, and then the contour was improved to generate the final car surface repair sanding area. By comparing the actual manual sanding area and the algorithm-generated sanding area, it shows that the sanding area generated by the algorithm is more accurate and meets the basic sanding requirements, which can provide a theoretical basis for the realization of automated sanding.
2023, 37(4): 387-396.
doi: 10.12299/jsues.22-0374
Abstract:
Insulated gate bipolar transistor (Insulated Gate Bipolar Transistor, IGBT) is an important energy transfer and conversion component of electric vehicles. But working under varying conditions for a long time will result in high heat loads, which seriously affect IGBT service life. By establishing IGBT junction temperature estimation model for real-time temperature observation, the relationship between IGBT junction temperature, switch frequency and bus voltage was analyzed. In order to reduce the heat load of IGBT under cyclic conditions, the IGBT junction temperature regional control strategy was proposed. Aiming at controlling the maximum junction temperature and the junction temperature fluctuation, the control region was divided, and the switching frequency and bus voltage were controlled by fuzzy control and PI control respectively. The results show that the maximum junction temperature decreases by 5.1 ℃ and the junction temperature fluctuation of IGBT decreases by 2.6 ℃ on average under new European driving cycle (NEDC) condition, which verified the effectiveness of the control strategy and improved the reliability and operation life of IGBT.
Insulated gate bipolar transistor (Insulated Gate Bipolar Transistor, IGBT) is an important energy transfer and conversion component of electric vehicles. But working under varying conditions for a long time will result in high heat loads, which seriously affect IGBT service life. By establishing IGBT junction temperature estimation model for real-time temperature observation, the relationship between IGBT junction temperature, switch frequency and bus voltage was analyzed. In order to reduce the heat load of IGBT under cyclic conditions, the IGBT junction temperature regional control strategy was proposed. Aiming at controlling the maximum junction temperature and the junction temperature fluctuation, the control region was divided, and the switching frequency and bus voltage were controlled by fuzzy control and PI control respectively. The results show that the maximum junction temperature decreases by 5.1 ℃ and the junction temperature fluctuation of IGBT decreases by 2.6 ℃ on average under new European driving cycle (NEDC) condition, which verified the effectiveness of the control strategy and improved the reliability and operation life of IGBT.
2023, 37(4): 397-403.
doi: 10.12299/jsues.22-0334
Abstract:
Material transporting efficiency has an important impact on the production scheduling efficiency of the intelligent workshop. Material transporting tasks are usually executed by automated guided vehicle (AGV), which have large number of tasks, real-time changes in task demand, and intensive task issuance. In order to make the AGV workflow timely, efficient and accurate, an reinforcement-learning-based AGVs' scheduling model was established with a two-level mechanism. The first level aimes for load balancing, and assigns the tasks to AGVs in a rule-based scheduling method. The second level plans each AGV's path by a reinforcement learning deep Q-network (DQN) algorithm with single agent, which can reduce the convergence difficulty of the scheduling algorithm by reducing the dimensions of the agent's action space. The effectiveness and innovation of the method was verified through simulation examples.
Material transporting efficiency has an important impact on the production scheduling efficiency of the intelligent workshop. Material transporting tasks are usually executed by automated guided vehicle (AGV), which have large number of tasks, real-time changes in task demand, and intensive task issuance. In order to make the AGV workflow timely, efficient and accurate, an reinforcement-learning-based AGVs' scheduling model was established with a two-level mechanism. The first level aimes for load balancing, and assigns the tasks to AGVs in a rule-based scheduling method. The second level plans each AGV's path by a reinforcement learning deep Q-network (DQN) algorithm with single agent, which can reduce the convergence difficulty of the scheduling algorithm by reducing the dimensions of the agent's action space. The effectiveness and innovation of the method was verified through simulation examples.
2023, 37(4): 404-408.
doi: 10.12299/jsues.22-0287
Abstract:
As one of the core components of the fused deposition 3D printer, the feed mechanism is responsible for feeding the filaments into the nozzle and completing the printing. The extrusion gear is the key part of the entire feed mechanism. When the whole machine is working, the extrusion gear is in direct contact with the filaments, and the filaments are fed into the nozzle by friction. The tooth shape and number of teeth of the extrusion gears are studied by means of experiments, and the feed rate in the printing process and the quality of the printed parts are mainly analyzed. The results show that the extrusion efficiency of the helical extrusion gear is higher than that of the straight and concave teeth, but the phenomenon of tooth skipping occurs at a high speed. When working, the more teeth of the extrusion gear, the closer the actual feed is to the theoretical value.
As one of the core components of the fused deposition 3D printer, the feed mechanism is responsible for feeding the filaments into the nozzle and completing the printing. The extrusion gear is the key part of the entire feed mechanism. When the whole machine is working, the extrusion gear is in direct contact with the filaments, and the filaments are fed into the nozzle by friction. The tooth shape and number of teeth of the extrusion gears are studied by means of experiments, and the feed rate in the printing process and the quality of the printed parts are mainly analyzed. The results show that the extrusion efficiency of the helical extrusion gear is higher than that of the straight and concave teeth, but the phenomenon of tooth skipping occurs at a high speed. When working, the more teeth of the extrusion gear, the closer the actual feed is to the theoretical value.
2023, 37(4): 409-413.
doi: 10.12299/jsues.23-0047
Abstract:
Reversible logic circuits can avoid thermal dissipation due to information loss so that it is possible to solve the thermal dissipation problem of integrated circuits. As reversible logic circuit synthesis problem was modeled as a multi-objective optimization problem, a reversible logic synthesis method was proposed based on a cooperative multi-objective differential evolution algorithm. Differential evolution algorithm with self-adaptive population resizing mechanism (SapsDE) was adopted as the basis and combined with the co-evolution algorithm based multiple population strategy for multiple objectives. Meanwhile, the population updating scheme and the fitness evaluation strategy based on Pareto-optimal were employed to update the candidate individuals. The synthesis method tested on a suite of benchmark functions is feasible and effective. Compared with classical and heuristic synthesis methods, the circuits generated by the proposed synthesis method have better performance.
Reversible logic circuits can avoid thermal dissipation due to information loss so that it is possible to solve the thermal dissipation problem of integrated circuits. As reversible logic circuit synthesis problem was modeled as a multi-objective optimization problem, a reversible logic synthesis method was proposed based on a cooperative multi-objective differential evolution algorithm. Differential evolution algorithm with self-adaptive population resizing mechanism (SapsDE) was adopted as the basis and combined with the co-evolution algorithm based multiple population strategy for multiple objectives. Meanwhile, the population updating scheme and the fitness evaluation strategy based on Pareto-optimal were employed to update the candidate individuals. The synthesis method tested on a suite of benchmark functions is feasible and effective. Compared with classical and heuristic synthesis methods, the circuits generated by the proposed synthesis method have better performance.
2023, 37(4): 414-419.
doi: 10.12299/jsues.21-0086
Abstract:
An improved fast point feature histogram (FPFH) was proposed for the initial registration of grid point cloud. The neighborhood density was added as a point feature description on the basis of FPFH. When searching the corresponding points with k-dimensional tree (k-d tree), the Bhattacharyya distance was used as the index. This improved method was compared with FPFH in the simulation. Then, the test device was built to collect the grid’s surface point cloud data. The data were registered with improved FPFH method and iterative closest point (ICP). Test results show that the precision level of the matched point cloud is 1 μm and the error range of grid hole stays in ±(20~40) μm, which theoretically satisfy the precision requirement of the grid.
An improved fast point feature histogram (FPFH) was proposed for the initial registration of grid point cloud. The neighborhood density was added as a point feature description on the basis of FPFH. When searching the corresponding points with k-dimensional tree (k-d tree), the Bhattacharyya distance was used as the index. This improved method was compared with FPFH in the simulation. Then, the test device was built to collect the grid’s surface point cloud data. The data were registered with improved FPFH method and iterative closest point (ICP). Test results show that the precision level of the matched point cloud is 1 μm and the error range of grid hole stays in ±(20~40) μm, which theoretically satisfy the precision requirement of the grid.
2023, 37(4): 420-427.
doi: 10.12299/jsues.22-0313
Abstract:
With the continuous development of intelligent construction machinery, the traditional hydraulic breaker with complex structure and single function has been gradually replaced by the increasingly mature intelligent breaker. The recognition and localization of multi-target stones is an important guarantee for intelligent crushing to improve the accuracy of action output and complete the crushing task. A target stone recognition and localization method based on segmentation-mask convolutional neural networks (Mask R-CNN) instance segmentation and light detection and ranging (LiDAR) information fusion was proposed. The Mask R-CNN instance segmentation algorithm was used to quickly identify the region of interest (RoI) of the target stone in complex operation scenarios. On the premise of ensuring the accuracy of stone detection, the position information of the crushing point was obtained by fusing lidar and the Kalman filter algorithm to guide the crushing hammer to realize the positioning operation. The results of the field tests show that the average recognition accuracy of the stone target detection model for stones is 95.35%, the recall rate is 95.06%, and the accuracy of stone breaking point recognition is 94.20%, can meet the real-time requirements.
With the continuous development of intelligent construction machinery, the traditional hydraulic breaker with complex structure and single function has been gradually replaced by the increasingly mature intelligent breaker. The recognition and localization of multi-target stones is an important guarantee for intelligent crushing to improve the accuracy of action output and complete the crushing task. A target stone recognition and localization method based on segmentation-mask convolutional neural networks (Mask R-CNN) instance segmentation and light detection and ranging (LiDAR) information fusion was proposed. The Mask R-CNN instance segmentation algorithm was used to quickly identify the region of interest (RoI) of the target stone in complex operation scenarios. On the premise of ensuring the accuracy of stone detection, the position information of the crushing point was obtained by fusing lidar and the Kalman filter algorithm to guide the crushing hammer to realize the positioning operation. The results of the field tests show that the average recognition accuracy of the stone target detection model for stones is 95.35%, the recall rate is 95.06%, and the accuracy of stone breaking point recognition is 94.20%, can meet the real-time requirements.
2023, 37(4): 428-434.
doi: 10.12299/jsues.22-0337
Abstract:
Based on the 411 key research papers published in CNKI database from 1994 to 2021, the published works, research institutions and research strengths, journal sources, high frequency co-cited literature and classical literature contents in the field of margin trading in China were systematically analyzed. Employing the CiteSpace software to draw a knowledge map, the evolution process, research frontiers and trends of domestic margin trading research hotspots were summarized. The results show that the overall number of research papers and their cyclical fluctuation in the domestic margin trading field are subject to the expansion policies. Fudan University, Nanjing University, etc. as the main research institutions had made the biggest contributions; researches concerning the stock price volatility and pricing efficiency by Chu Jian, Li Zhisheng and other scholars had become high frequency cited results in this field. The research process in the field of margin trading were divided into five stages: germination, start, landing, development and maturity. The research hotspots were mainly concentrated on five aspects: market impacts relationship, corporate decision-making and management, stakeholder influence, R&D investment relationship and business theory improvement, which can provide a frame of reference for scholars studying margin trading business.
Based on the 411 key research papers published in CNKI database from 1994 to 2021, the published works, research institutions and research strengths, journal sources, high frequency co-cited literature and classical literature contents in the field of margin trading in China were systematically analyzed. Employing the CiteSpace software to draw a knowledge map, the evolution process, research frontiers and trends of domestic margin trading research hotspots were summarized. The results show that the overall number of research papers and their cyclical fluctuation in the domestic margin trading field are subject to the expansion policies. Fudan University, Nanjing University, etc. as the main research institutions had made the biggest contributions; researches concerning the stock price volatility and pricing efficiency by Chu Jian, Li Zhisheng and other scholars had become high frequency cited results in this field. The research process in the field of margin trading were divided into five stages: germination, start, landing, development and maturity. The research hotspots were mainly concentrated on five aspects: market impacts relationship, corporate decision-making and management, stakeholder influence, R&D investment relationship and business theory improvement, which can provide a frame of reference for scholars studying margin trading business.
2017, 31(2): 174-177,182.
doi: 10.3969/j.issn.1009-444X.2017.02.016
摘要：
随着纺织印染行业的不断发展,纺织印染废水成分也日益复杂,大大增加了废水处理难度.针对纺织印染废水的来源和水质特点,综述了国内外纺织印染废水处理技术的研究进展,包括物理处理法、化学处理法和生物处理法,分析了各类处理方法的机制、处理效果及其优缺点.对纺织印染废水处理技术的发展前景进行了展望,指出优化组合废水处理工艺可提高纺织印染废水处理效果及综合回用率.
随着纺织印染行业的不断发展,纺织印染废水成分也日益复杂,大大增加了废水处理难度.针对纺织印染废水的来源和水质特点,综述了国内外纺织印染废水处理技术的研究进展,包括物理处理法、化学处理法和生物处理法,分析了各类处理方法的机制、处理效果及其优缺点.对纺织印染废水处理技术的发展前景进行了展望,指出优化组合废水处理工艺可提高纺织印染废水处理效果及综合回用率.
2018, 32(1): 64-67.
doi: 10.3969/j.issn.1009-444X.2018.01.014
摘要：
交通数据质量是影响交通控制方法有效实施的关键因素之一.为进一步提升交通数据的准确性和时效性,对比分析交通预处理方法,采用标准差公式对拉依达准则进行优化,设计一种适用于交通异常数据检测和修复的优化方法,并结合上海城市快速路实际数据对模型有效性和时效性进行检验.结果表明,基于拉依达准则的数据处理优化方法能够有效、实时地检测交通异常数据、改善数据质量,为道路交通状况的监测和预警提供数据支持.
交通数据质量是影响交通控制方法有效实施的关键因素之一.为进一步提升交通数据的准确性和时效性,对比分析交通预处理方法,采用标准差公式对拉依达准则进行优化,设计一种适用于交通异常数据检测和修复的优化方法,并结合上海城市快速路实际数据对模型有效性和时效性进行检验.结果表明,基于拉依达准则的数据处理优化方法能够有效、实时地检测交通异常数据、改善数据质量,为道路交通状况的监测和预警提供数据支持.
2017, 31(4): 371-375.
doi: 10.3969/j.issn.1009-444X.2017.04.017
摘要：
老年人参与各项社会活动,能够延缓衰老,促进身体健康、提高生活质量.通过开展调研探究了老年人的社会参与意愿及其影响因素.调查发现,城市老年人对经济、政治、社区、文化等各项活动的参与意愿都较高,但是多数的参与停留在被动层面;年龄、性别、文化程度、健康状况等因素会影响参与意愿,且不同活动受影响的程度不同;参与意愿会受到现实条件的约束,如照看小孩,料理家务等.
老年人参与各项社会活动,能够延缓衰老,促进身体健康、提高生活质量.通过开展调研探究了老年人的社会参与意愿及其影响因素.调查发现,城市老年人对经济、政治、社区、文化等各项活动的参与意愿都较高,但是多数的参与停留在被动层面;年龄、性别、文化程度、健康状况等因素会影响参与意愿,且不同活动受影响的程度不同;参与意愿会受到现实条件的约束,如照看小孩,料理家务等.
2020, 34(3): 238-246.
doi: 10.3969/j.issn.1009-444X.2020.03.006
摘要：
针对机械臂关节空间轨迹规划的时间优化问题,结合机械臂运动约束,提出基于非线性动态改变惯性权重的粒子群优化(NPSO)算法.根据传统3-5-3多项式插值方法,采用改进粒子群算法寻求最短关节运动时间,研究线性递减改变惯性权重(LPSO)算法和NPSO算法的性能,选用NPSO算法完成关节运动时间最优求解.研究结果显示,经时间优化后的3-5-3插值曲线连续光滑且具备更好的运动特性,整体运动时间缩短约26%,证实提出的方法具有可行性.
针对机械臂关节空间轨迹规划的时间优化问题,结合机械臂运动约束,提出基于非线性动态改变惯性权重的粒子群优化(NPSO)算法.根据传统3-5-3多项式插值方法,采用改进粒子群算法寻求最短关节运动时间,研究线性递减改变惯性权重(LPSO)算法和NPSO算法的性能,选用NPSO算法完成关节运动时间最优求解.研究结果显示,经时间优化后的3-5-3插值曲线连续光滑且具备更好的运动特性,整体运动时间缩短约26%,证实提出的方法具有可行性.
Numerical Simulation Analysis on Air Distribution of Inter-Column Air Conditioning in a Machine Room
2018, 32(3): 244-249.
doi: 10.3969/j.issn.1009-444X.2018.03.009
摘要：
以上海某数据中心机房为研究对象,针对机房服务器散热量大的特点及传统封闭冷通道存在的问题,提出适合该机房的封闭热通道方案.采用计算流体动力学(CFD)模拟的方法,分析机房内封闭热通道与传统封闭冷通道的温度场和速度场分布特性.通过模拟分析得出:大散热量机房列间空调采用封闭热通道形式效果更佳.
以上海某数据中心机房为研究对象,针对机房服务器散热量大的特点及传统封闭冷通道存在的问题,提出适合该机房的封闭热通道方案.采用计算流体动力学(CFD)模拟的方法,分析机房内封闭热通道与传统封闭冷通道的温度场和速度场分布特性.通过模拟分析得出:大散热量机房列间空调采用封闭热通道形式效果更佳.
2021, 35(3): 237-242.
摘要：
针对传统光流法处理视频序列时存在运行效率低及跟踪偏移问题，结合粒子滤波模型提出一种改进光流法的视频目标跟踪技术. 该技术首先通过遍历法搜索运动点，采用质心定位方式捕获目标质心坐标，然后将得到的视频序列进行光流处理，最后经粒子滤波求解质心运动信息，以实现对视频中目标的精确检测与追踪. 在不同场景下对不同数量、不同类型目标进行仿真跟踪试验，并与光流法、ViBe算法及YOLO算法进行比较. 仿真结果表明，该跟踪技术可使目标跟踪的精准率有效提高5.2%，跟踪效率提高13.7%，同时表现出较好的鲁棒性.
针对传统光流法处理视频序列时存在运行效率低及跟踪偏移问题，结合粒子滤波模型提出一种改进光流法的视频目标跟踪技术. 该技术首先通过遍历法搜索运动点，采用质心定位方式捕获目标质心坐标，然后将得到的视频序列进行光流处理，最后经粒子滤波求解质心运动信息，以实现对视频中目标的精确检测与追踪. 在不同场景下对不同数量、不同类型目标进行仿真跟踪试验，并与光流法、ViBe算法及YOLO算法进行比较. 仿真结果表明，该跟踪技术可使目标跟踪的精准率有效提高5.2%，跟踪效率提高13.7%，同时表现出较好的鲁棒性.
2017, 31(1): 90-94.
doi: 10.3969/j.issn.1009-444X.2017.01.019
摘要：
针对我国黄金期货价格预测问题,对影响我国黄金期货价格的5项指标进行灰色关联度分析,得出我国黄金期货价格与美国黄金期货价格之间的关联度最高.建立反向传播(BP)神经网络模型对我国黄金期货价格预测,并与GM(1,1)方法和ARIMA(0,2,1)模型下的预测结果进行对比.结果显示:与后两个模型相比,BP神经网络模型在黄金期货价格预测方面的精确性更高,具有较好的实用价值.
针对我国黄金期货价格预测问题,对影响我国黄金期货价格的5项指标进行灰色关联度分析,得出我国黄金期货价格与美国黄金期货价格之间的关联度最高.建立反向传播(BP)神经网络模型对我国黄金期货价格预测,并与GM(1,1)方法和ARIMA(0,2,1)模型下的预测结果进行对比.结果显示:与后两个模型相比,BP神经网络模型在黄金期货价格预测方面的精确性更高,具有较好的实用价值.
2017, 31(2): 126-130.
doi: 10.3969/j.issn.1009-444X.2017.02.007
摘要：
为满足读者的个性化需求,为其提供内容精准推送服务,有效提升期刊论文的传播与交流,设计了《计算机工程》内容精准推送系统.基于期刊采编系统的大量学者信息,利用语义分析及智能分词等技术,将读者—文章—标准关键词库进行匹配和过滤,为潜在读者主动推送相关论文摘要及下载链接.每期推送邮件约7 000封,发送成功率达99％,论文被下载次数较未运行该系统前明显增多,其中下载排名前列的均为已推送论文.科技期刊采用精准推送平台不仅可以为领域学者提供高效便捷的知识服务,也能够增强期刊论文的有效传播力度.
为满足读者的个性化需求,为其提供内容精准推送服务,有效提升期刊论文的传播与交流,设计了《计算机工程》内容精准推送系统.基于期刊采编系统的大量学者信息,利用语义分析及智能分词等技术,将读者—文章—标准关键词库进行匹配和过滤,为潜在读者主动推送相关论文摘要及下载链接.每期推送邮件约7 000封,发送成功率达99％,论文被下载次数较未运行该系统前明显增多,其中下载排名前列的均为已推送论文.科技期刊采用精准推送平台不仅可以为领域学者提供高效便捷的知识服务,也能够增强期刊论文的有效传播力度.
2018, 32(3): 214-220.
doi: 10.3969/j.issn.1009-444X.2018.03.004
摘要：
介绍功能纺织品的分类,分析功能纺织品的开发途径,主要阐述国内现代功能纺织品研究及开发进展,包括纳米光触媒多功能纺织品、防电磁辐射纺织品、超疏水多功能纺织品、阻燃纺织品、防蚊虫纺织品,并指出采用高新技术开发生态安全高附加值多功能纺织品是功能性纺织品的发展趋势.
介绍功能纺织品的分类,分析功能纺织品的开发途径,主要阐述国内现代功能纺织品研究及开发进展,包括纳米光触媒多功能纺织品、防电磁辐射纺织品、超疏水多功能纺织品、阻燃纺织品、防蚊虫纺织品,并指出采用高新技术开发生态安全高附加值多功能纺织品是功能性纺织品的发展趋势.
2017, 31(1): 20-24.
doi: 10.3969/j.issn.1009-444X.2017.01.005
摘要：
介绍了水性工业涂料用丙烯酸酯、聚氨酯、环氧和醇酸4种树脂水性化的最新研究进展.对水性工业涂料的成膜机制进行了总结,并对水分散型、水稀释型等工业涂料的成膜机制做出进一步探讨.总结了水性工业涂料在应用过程中出现的问题并提出解决办法,展望了工业涂料水性化技术面临的挑战与机遇.
介绍了水性工业涂料用丙烯酸酯、聚氨酯、环氧和醇酸4种树脂水性化的最新研究进展.对水性工业涂料的成膜机制进行了总结,并对水分散型、水稀释型等工业涂料的成膜机制做出进一步探讨.总结了水性工业涂料在应用过程中出现的问题并提出解决办法,展望了工业涂料水性化技术面临的挑战与机遇.
2003, 17(2): 83-86.
doi: 10.3969/j.issn.1009-444X.2003.02.001
Abstract:
2001, 15(1): 31-37.
doi: 10.3969/j.issn.1009-444X.2001.01.007
Abstract:
About Journal
More>
Chinese Quarterly
Supervisor: Shanghai Municipal Education Commission
Sponsors by: Shanghai University of Engineering Science
Publisher: Editorial Department of Journal of Shanghai University of Engineering Science
Editor-in-Chief: WANG Yansong
Email: xuebao@sues.edu.cn
ISSN1009-444X
CN31-1598/T
Link
More>
Email Alert
RSS
