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).
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2025, 39(4): 375-381.
doi: 10.12299/jsues.24-0162
Abstract:
Based on ADAMS, a detailed model of the wiper blade was established to analyze the vibration characteristics of the wiper blade. Using Virtual.Lab, a finite element model of the acoustic-structural coupling between the windshield and the vehicle cabin was constructed to analyze the sound pressure level of friction noise transmitted to the driver’s position from the wiper-windshield system. The effects of different rotational speeds, friction models, and torsional stiffness of the wiper blade on the friction noise characteristics of the system were investigated. Through experimental testing of the wiper-windshield system on a real vehicle, the validity of the simulation models was verified. The results indicate that the detailed wiper blade model and the acoustic-structural coupling finite element model agree well with the experimental results. For the three types of friction noise in the system, rotational speeds, friction models, and torsional stiffness of the wiper blade each have different impacts.
Based on ADAMS, a detailed model of the wiper blade was established to analyze the vibration characteristics of the wiper blade. Using Virtual.Lab, a finite element model of the acoustic-structural coupling between the windshield and the vehicle cabin was constructed to analyze the sound pressure level of friction noise transmitted to the driver’s position from the wiper-windshield system. The effects of different rotational speeds, friction models, and torsional stiffness of the wiper blade on the friction noise characteristics of the system were investigated. Through experimental testing of the wiper-windshield system on a real vehicle, the validity of the simulation models was verified. The results indicate that the detailed wiper blade model and the acoustic-structural coupling finite element model agree well with the experimental results. For the three types of friction noise in the system, rotational speeds, friction models, and torsional stiffness of the wiper blade each have different impacts.
2025, 39(4): 382-388.
doi: 10.12299/jsues.24-0187
Abstract:
A diffuser is an advanced aerodynamic improvement device that reduces the drag coefficient of a vehicle by efficiently guiding airflow. To reduce the time required for developing vehicle aerodynamic performance, it was mounted on the sides of the Ahmed model, with the characteristic dimensions of the diffuser serving as design variables and the drag coefficient as the response. The optimal Latin hypercube experimental design method was employed to generate the design of experiments (DOE) matrix. Subsequently, Fluent was used to solve the simulated drag coefficients for each experimental scenario. After the dataset was constructed, it was applied to several machine learning models, including radial basis function (RBF), Extra Trees, extreme gradient boosting (XGBoost), and particle swarm optimization-backpropagation (PSO-BP). The results demonstrated that the PSO-BP model achieved the best prediction accuracy, whereas the RBF model performed the worst. Finally, the Extra Trees algorithm was used to analyze the influence of five design variables on the drag coefficient. The X1 exerted the highest influence, while X5 had the least. This demonstrates that the application of machine learning to automobile aerodynamic design is feasible.
A diffuser is an advanced aerodynamic improvement device that reduces the drag coefficient of a vehicle by efficiently guiding airflow. To reduce the time required for developing vehicle aerodynamic performance, it was mounted on the sides of the Ahmed model, with the characteristic dimensions of the diffuser serving as design variables and the drag coefficient as the response. The optimal Latin hypercube experimental design method was employed to generate the design of experiments (DOE) matrix. Subsequently, Fluent was used to solve the simulated drag coefficients for each experimental scenario. After the dataset was constructed, it was applied to several machine learning models, including radial basis function (RBF), Extra Trees, extreme gradient boosting (XGBoost), and particle swarm optimization-backpropagation (PSO-BP). The results demonstrated that the PSO-BP model achieved the best prediction accuracy, whereas the RBF model performed the worst. Finally, the Extra Trees algorithm was used to analyze the influence of five design variables on the drag coefficient. The X1 exerted the highest influence, while X5 had the least. This demonstrates that the application of machine learning to automobile aerodynamic design is feasible.
2025, 39(4): 389-395.
doi: 10.12299/jsues.25-0136
Abstract:
Aiming at the motion relationship between the vehicle and the passing target in the straight ahead process, an autonomous emergency braking (AEB) control strategy was proposed. The motion of the target relative to the vehicle was decomposed into lateral and longitudinal components, and the risk coefficient was defined based on the time to collision (TTC) algorithm to establish the early warning judgment conditions, and the dynamic trigger width and dynamic TTC threshold were designed. When the system given an early warning and the driver was not involved, the split speed and graded braking strategy was adopted. The lower controller was constructed based on the variable universe fuzzy PI algorithm to accurately follow the expected acceleration of the vehicle. At the same time, PreScan was used to establish the vehicle reverse longitudinal dynamics model, which was translated into actual operation. Though PreScan and Matlab, the strategy was simulated and verified. The results show that the strategy can effectively avoid collision in the test scenario based on C-NCAP.
Aiming at the motion relationship between the vehicle and the passing target in the straight ahead process, an autonomous emergency braking (AEB) control strategy was proposed. The motion of the target relative to the vehicle was decomposed into lateral and longitudinal components, and the risk coefficient was defined based on the time to collision (TTC) algorithm to establish the early warning judgment conditions, and the dynamic trigger width and dynamic TTC threshold were designed. When the system given an early warning and the driver was not involved, the split speed and graded braking strategy was adopted. The lower controller was constructed based on the variable universe fuzzy PI algorithm to accurately follow the expected acceleration of the vehicle. At the same time, PreScan was used to establish the vehicle reverse longitudinal dynamics model, which was translated into actual operation. Though PreScan and Matlab, the strategy was simulated and verified. The results show that the strategy can effectively avoid collision in the test scenario based on C-NCAP.
2025, 39(4): 396-402, 450.
doi: 10.12299/jsues.24-0397
Abstract:
In order to improve the motion performance of a flapping-wing aircraft with a double “S” shaped dual-moment transmission mechanism, an in-depth analysis and optimization of the proposed novel flapping-wing model were conducted based on the computational fluid dynamics (CFD) method. The geometric design of the airfoil was adjusted by focusing on key parameters such as leading edge radius, trailing edge angle, wingspan length, and airfoil thickness to achieve a better aerodynamic lift-to-drag ratio. High-quality meshes were generated in ANSYS software using an optimized mesh algorithm, and the dynamic mesh technique was adopted to simulate the fluid dynamics of the vehicle’s movement. The pressure contours and velocity contours of the vehicle under different flight attitudes were analyzed to verify the improved vehicle structure. The results show that the improved airfoil can effectively reduce pressure concentration and suppress vortices.
In order to improve the motion performance of a flapping-wing aircraft with a double “S” shaped dual-moment transmission mechanism, an in-depth analysis and optimization of the proposed novel flapping-wing model were conducted based on the computational fluid dynamics (CFD) method. The geometric design of the airfoil was adjusted by focusing on key parameters such as leading edge radius, trailing edge angle, wingspan length, and airfoil thickness to achieve a better aerodynamic lift-to-drag ratio. High-quality meshes were generated in ANSYS software using an optimized mesh algorithm, and the dynamic mesh technique was adopted to simulate the fluid dynamics of the vehicle’s movement. The pressure contours and velocity contours of the vehicle under different flight attitudes were analyzed to verify the improved vehicle structure. The results show that the improved airfoil can effectively reduce pressure concentration and suppress vortices.
2025, 39(4): 403-408, 427.
doi: 10.12299/jsues.24-0223
Abstract:
To promote high-standard improvement of water quality in urban scenic rivers, taking Beichaogang in Shanghai as a typical representative, a one-year monitoring of overlying water and surface sediments was conducted to identify pollution characteristics and evaluate ecological risks. The results show that water quality and sediment pollution degree in Beichaogang exhibited significant differences on both sides of the sluice gate. The overlying water remains stable within the good grade of water quality index, while serious accumulations of organic matter and nutrients are found in sediments, and the potential ecological risk of heavy metals is at the medium risk level. The implementation of the ecological restoration project significantly improved the water quality of the overlying water, but failed to reduce the content of pollutants in the sediments. Overflow pollution caused by the mixing of rainwater and sewage, and the release of endogenous pollutants from the sediments are likely the main sources of factors BOD5, total phosphorus, and total nitrogen in Beichaogang.
To promote high-standard improvement of water quality in urban scenic rivers, taking Beichaogang in Shanghai as a typical representative, a one-year monitoring of overlying water and surface sediments was conducted to identify pollution characteristics and evaluate ecological risks. The results show that water quality and sediment pollution degree in Beichaogang exhibited significant differences on both sides of the sluice gate. The overlying water remains stable within the good grade of water quality index, while serious accumulations of organic matter and nutrients are found in sediments, and the potential ecological risk of heavy metals is at the medium risk level. The implementation of the ecological restoration project significantly improved the water quality of the overlying water, but failed to reduce the content of pollutants in the sediments. Overflow pollution caused by the mixing of rainwater and sewage, and the release of endogenous pollutants from the sediments are likely the main sources of factors BOD5, total phosphorus, and total nitrogen in Beichaogang.
2025, 39(4): 409-413, 484.
doi: 10.12299/jsues.24-0179
Abstract:
The unsustainability of traditional energy sources and environmental issues have led to an emphasis on new energy storage devices. Among them, supercapacitors have received widespread attention due to their high power density, long cycle life, and environmental friendliness. CR2032 coin cells were assembled using activated carbon as the cathode in both organic and aqueous electrolytes. At a scan rate of 0.1 mV/s, the specific capacitances of the organic and aqueous electrolytes were 143.44 and 156.58 F/g, respectively; at a current density of 0.1 A/g, the corresponding specific capacitances were 79.54 and 95.92 F/g. The organic system exhibited a maximum potential window of 1.8 V. After 600 cycles, the organic system demonstrated better stability in terms of specific capacitance and Coulomb cycle efficiency retention compared to the aqueous system. In contrast, the impedance behavior of the aqueous system was found to be superior.
The unsustainability of traditional energy sources and environmental issues have led to an emphasis on new energy storage devices. Among them, supercapacitors have received widespread attention due to their high power density, long cycle life, and environmental friendliness. CR2032 coin cells were assembled using activated carbon as the cathode in both organic and aqueous electrolytes. At a scan rate of 0.1 mV/s, the specific capacitances of the organic and aqueous electrolytes were 143.44 and 156.58 F/g, respectively; at a current density of 0.1 A/g, the corresponding specific capacitances were 79.54 and 95.92 F/g. The organic system exhibited a maximum potential window of 1.8 V. After 600 cycles, the organic system demonstrated better stability in terms of specific capacitance and Coulomb cycle efficiency retention compared to the aqueous system. In contrast, the impedance behavior of the aqueous system was found to be superior.
2025, 39(4): 414-419.
doi: 10.12299/jsues.24-0379
Abstract:
Iron is an essential trace element for various physiological functions, yet excessive iron is highly toxic owing to its redox activity property. Male Sprague-Dawley (SD) rats, aged 6~7 weeks were randomly divided into a control group and an iron overload group. They were administered either saline or 150 mg/kg iron dextran for four consecutive weeks. The results show that iron overload significantly reduced body mass and increased serum iron, transferrin-bound iron, ferritin levels, and transferrin saturation. Elevated iron contents were observed in the duodenum, liver, and spleen of iron overloaded rats, whereas duodenal villus length and the villus-length-to-crypt-depth ratio were significantly decreased. Furthermore, an upregulation of DCYTB, DMT1, FTL, and FTH associated with absorption and storage, was observed in iron-overloaded rats, yet no significant changes were found in ferroportin (FPN) or serum ferritin levels. These findings indicate that iron overload induces duodenal iron deposition and intestinal damage by upregulating the expression of duodenal iron-absorption and storage proteins, thereby providing theoretical evidence for duodenal health issues caused by iron overload.
Iron is an essential trace element for various physiological functions, yet excessive iron is highly toxic owing to its redox activity property. Male Sprague-Dawley (SD) rats, aged 6~7 weeks were randomly divided into a control group and an iron overload group. They were administered either saline or 150 mg/kg iron dextran for four consecutive weeks. The results show that iron overload significantly reduced body mass and increased serum iron, transferrin-bound iron, ferritin levels, and transferrin saturation. Elevated iron contents were observed in the duodenum, liver, and spleen of iron overloaded rats, whereas duodenal villus length and the villus-length-to-crypt-depth ratio were significantly decreased. Furthermore, an upregulation of DCYTB, DMT1, FTL, and FTH associated with absorption and storage, was observed in iron-overloaded rats, yet no significant changes were found in ferroportin (FPN) or serum ferritin levels. These findings indicate that iron overload induces duodenal iron deposition and intestinal damage by upregulating the expression of duodenal iron-absorption and storage proteins, thereby providing theoretical evidence for duodenal health issues caused by iron overload.
2025, 39(4): 420-427.
doi: 10.12299/jsues.24-0128
Abstract:
Transition-metal ion M (M = Cu、Ni) doped M0.3Co2.7O4 solid solution nanocrystals were prepared by a one-pot hydrothermal route. The effect of M doping on the catalytic performance of Co3O4 nanocrystals for soot combustion was systematically investigated. Results indicate that Cu0.3Co2.7O4 nanocrystals exhibit the optimal catalytic performance with a Tm of 421 ℃ and 100% CO2 selectivity. It was mainly attributed to the following aspects: 1) Cu ion doping inhibited the crystal growth of Co3O4 and increased the specific surface area, thereby expanding the contact between the catalyst and soot particles; 2) Cu ion doping increased the molar ratio of surface Co3+ and created more defect sites, facilitating the adsorption and activation of oxygen species; 3) Cu ion doping enhanced the redox ability of the catalyst, which not only promoted the generation of active oxygen species but also enhanced the oxidation of NO to NO2, thereby improving the soot combustion efficiency. Meanwhile, Cu0.3Co2.7O4 solid solution nanocrystals showed good stability, providing a theoretical basis for designing high-efficiency diesel soot purification catalysts.
Transition-metal ion M (M = Cu、Ni) doped M0.3Co2.7O4 solid solution nanocrystals were prepared by a one-pot hydrothermal route. The effect of M doping on the catalytic performance of Co3O4 nanocrystals for soot combustion was systematically investigated. Results indicate that Cu0.3Co2.7O4 nanocrystals exhibit the optimal catalytic performance with a Tm of 421 ℃ and 100% CO2 selectivity. It was mainly attributed to the following aspects: 1) Cu ion doping inhibited the crystal growth of Co3O4 and increased the specific surface area, thereby expanding the contact between the catalyst and soot particles; 2) Cu ion doping increased the molar ratio of surface Co3+ and created more defect sites, facilitating the adsorption and activation of oxygen species; 3) Cu ion doping enhanced the redox ability of the catalyst, which not only promoted the generation of active oxygen species but also enhanced the oxidation of NO to NO2, thereby improving the soot combustion efficiency. Meanwhile, Cu0.3Co2.7O4 solid solution nanocrystals showed good stability, providing a theoretical basis for designing high-efficiency diesel soot purification catalysts.
2025, 39(4): 428-434.
doi: 10.12299/jsues.24-0201
Abstract:
To address the hysteresis and low damping resonance problems of piezoelectric driven nanopositioning stages, a three-degree-of-freedom piezoelectric driven nanopositioning stage experimental system was constructed, and the hysteresis and resonance characteristics were analyzed. A rate-dependent Prandtl-Ishlinskii hysteresis model was established, and the parameters of its inverse model were identified. The effectiveness and accuracy of the model were verified through open-loop and close-loop feedforward compensation experiments. Subsequently, a pole placement method based on a Butterworth filter was employed to design the parameters of an integral tracking controller and a positive velocity-position feedback (PVPF) damping controller, and the effectiveness of the damping controller was verified. Finally, trajectory tracking experiments were conducted using a composite control method. The experimental results show that this method significantly improves the tracking accuracy and speed of the piezoelectric positioning stage, demonstrating the effectiveness of the proposed control method.
To address the hysteresis and low damping resonance problems of piezoelectric driven nanopositioning stages, a three-degree-of-freedom piezoelectric driven nanopositioning stage experimental system was constructed, and the hysteresis and resonance characteristics were analyzed. A rate-dependent Prandtl-Ishlinskii hysteresis model was established, and the parameters of its inverse model were identified. The effectiveness and accuracy of the model were verified through open-loop and close-loop feedforward compensation experiments. Subsequently, a pole placement method based on a Butterworth filter was employed to design the parameters of an integral tracking controller and a positive velocity-position feedback (PVPF) damping controller, and the effectiveness of the damping controller was verified. Finally, trajectory tracking experiments were conducted using a composite control method. The experimental results show that this method significantly improves the tracking accuracy and speed of the piezoelectric positioning stage, demonstrating the effectiveness of the proposed control method.
2025, 39(4): 435-441.
doi: 10.12299/jsues.24-0180
Abstract:
To address the incomplete utilization of mechanical equipment fault data and overcome the limitations of traditional health status monitoring and fault diagnosis methods, a data-driven system architecture for health monitoring and fault diagnosis was constructed. A health status monitoring method based on digital twins was proposed, in which equipment vulnerability was incorporated to monitor the health status. Furthermore, a data-driven fault diagnosis method was studied. By utilizing a nonlinear kernel mapping algorithm, historical fault data were analyzed to determine the abnormal boundary of the equipment. Through the analysis of real-time data, equipment abnormalities and the key factors leading to these abnormalities were identified. Finally, an empirical analysis was conducted taking a robotic arm on an assembly line as a case study. The results indicate that the proposed method can effectively identify the performance parameters leading to equipment abnormalities and improve the dynamic response performance of the workshop to machine failures.
To address the incomplete utilization of mechanical equipment fault data and overcome the limitations of traditional health status monitoring and fault diagnosis methods, a data-driven system architecture for health monitoring and fault diagnosis was constructed. A health status monitoring method based on digital twins was proposed, in which equipment vulnerability was incorporated to monitor the health status. Furthermore, a data-driven fault diagnosis method was studied. By utilizing a nonlinear kernel mapping algorithm, historical fault data were analyzed to determine the abnormal boundary of the equipment. Through the analysis of real-time data, equipment abnormalities and the key factors leading to these abnormalities were identified. Finally, an empirical analysis was conducted taking a robotic arm on an assembly line as a case study. The results indicate that the proposed method can effectively identify the performance parameters leading to equipment abnormalities and improve the dynamic response performance of the workshop to machine failures.
2025, 39(4): 442-450.
doi: 10.12299/jsues.24-0166
Abstract:
The operational environment of container yards is complex, and achieving precise parking for autonomous empty container handler is a critical problem that need to be solved. To address this, a hybrid strategy combining an improved A* algorithm with polynomial spiral curves was designed. Considering the working conditions and grasping workflow of the empty container handler, a multi-target improved A* global planning algorithm was developed, enabling the sequential traversal of multiple given target points in a single planning process. Furthermore, based on non-holonomic constraints, a local planning strategy utilizing polynomial spiral curves was designed near the final target point. Simulations and analyses were conducted on selected typical operational scenarios to validate the proposed algorithm. The results indicate that the strategy enables the stacker crane to sequentially pass through multiple target points along the global path. After local planning adjustments, it can meet the constraints of the operational target points, thereby fulfilling operational requirements.
The operational environment of container yards is complex, and achieving precise parking for autonomous empty container handler is a critical problem that need to be solved. To address this, a hybrid strategy combining an improved A* algorithm with polynomial spiral curves was designed. Considering the working conditions and grasping workflow of the empty container handler, a multi-target improved A* global planning algorithm was developed, enabling the sequential traversal of multiple given target points in a single planning process. Furthermore, based on non-holonomic constraints, a local planning strategy utilizing polynomial spiral curves was designed near the final target point. Simulations and analyses were conducted on selected typical operational scenarios to validate the proposed algorithm. The results indicate that the strategy enables the stacker crane to sequentially pass through multiple target points along the global path. After local planning adjustments, it can meet the constraints of the operational target points, thereby fulfilling operational requirements.
2025, 39(4): 451-457.
doi: 10.12299/jsues.24-0169
Abstract:
The construction environment is characterized by unstructured, large workspace, and construction processes that are significantly influenced by on-site conditions. To address problems such as inaccurate pose estimation, incomplete map display, and more residual shadows in highly dynamic scenes during construction robot localization and mapping, multiple sensors including dual LiDAR, inertial measurement unit (IMU), and wheeled odometry were fused. Based on the Cartographer algorithm framework, an extended Kalman filter was employed to optimize the multi-sensor for more accurate pose estimation. Furthermore, dynamic obstacle point clouds were filtered and removed from the raw laser scan data to enhance mapping quality. Experimental results show that the proposed improved data fusion Cartographer algorithm can improve map quality and positioning accuracy, meeting the requirements for map construction in construction environment.
The construction environment is characterized by unstructured, large workspace, and construction processes that are significantly influenced by on-site conditions. To address problems such as inaccurate pose estimation, incomplete map display, and more residual shadows in highly dynamic scenes during construction robot localization and mapping, multiple sensors including dual LiDAR, inertial measurement unit (IMU), and wheeled odometry were fused. Based on the Cartographer algorithm framework, an extended Kalman filter was employed to optimize the multi-sensor for more accurate pose estimation. Furthermore, dynamic obstacle point clouds were filtered and removed from the raw laser scan data to enhance mapping quality. Experimental results show that the proposed improved data fusion Cartographer algorithm can improve map quality and positioning accuracy, meeting the requirements for map construction in construction environment.
2025, 39(4): 458-465.
doi: 10.12299/jsues.24-0055
Abstract:
Compared with land-based photovoltaic (PV) power generation systems, offshore floating PV systems are coupled with motion characteristics, so the output power displays complex randomness. To obtain the motion characteristics of offshore floating PV power generation, a digital method "one measurement and three-layer fusion" was proposed. Data regarding motion, environment, components, and power generation were utilized to characterize the systems' coupling factors. Motion data were acquired through measurement, and data fusion was sequentially realized from motion to environment, environment to components, and components to power generation. Finally, an experimental system was constructed to validate the method. The results indicate that the maximum absolute deviation and relative deviation between the fusion data and the data from measurement were 1.11 W and 1%, respectively. Moreover, compared with the static state, the motion leads to an overall power reduction of 1.14 W (5.06%), with a maximum reduction of 3.27 W (13.30%). This method offers an effective approach to improve the efficiency of offshore floating PV power generation.
Compared with land-based photovoltaic (PV) power generation systems, offshore floating PV systems are coupled with motion characteristics, so the output power displays complex randomness. To obtain the motion characteristics of offshore floating PV power generation, a digital method "one measurement and three-layer fusion" was proposed. Data regarding motion, environment, components, and power generation were utilized to characterize the systems' coupling factors. Motion data were acquired through measurement, and data fusion was sequentially realized from motion to environment, environment to components, and components to power generation. Finally, an experimental system was constructed to validate the method. The results indicate that the maximum absolute deviation and relative deviation between the fusion data and the data from measurement were 1.11 W and 1%, respectively. Moreover, compared with the static state, the motion leads to an overall power reduction of 1.14 W (5.06%), with a maximum reduction of 3.27 W (13.30%). This method offers an effective approach to improve the efficiency of offshore floating PV power generation.
2025, 39(4): 466-470.
doi: 10.12299/jsues.24-0168
Abstract:
An experimental investigation was conducted to explore the factors influencing the water harvesting efficiency of an air-water harvesting device. The results indicate that fan speed, ambient air temperature, and relative humidity significantly affect the performance. During the experiments, it was observed that condensate on the surface of the fins failed to shed promptly. Instead, it adhered between fins and formed water bridges, which negatively affected the water harvesting efficiency. To address this, the condenser fins were optimized. Using COMSOL for modeling and simulation, the fin structure of the semiconductor refrigeration air-water harvesting device was optimized, and hydrophobic materials were coated on the fin surface to facilitate rapid condensate shedding, thereby increasing the device's water harvesting efficiency.
An experimental investigation was conducted to explore the factors influencing the water harvesting efficiency of an air-water harvesting device. The results indicate that fan speed, ambient air temperature, and relative humidity significantly affect the performance. During the experiments, it was observed that condensate on the surface of the fins failed to shed promptly. Instead, it adhered between fins and formed water bridges, which negatively affected the water harvesting efficiency. To address this, the condenser fins were optimized. Using COMSOL for modeling and simulation, the fin structure of the semiconductor refrigeration air-water harvesting device was optimized, and hydrophobic materials were coated on the fin surface to facilitate rapid condensate shedding, thereby increasing the device's water harvesting efficiency.
2025, 39(4): 471-476.
doi: 10.12299/jsues.24-0204
Abstract:
A novel symmetric serpentine channel structure was proposed for battery module thermal management. Numerical simulations were performed to investigate the bottom heat dissipation performance of a 1×6 series-connected prismatic battery module, compared against a straight-channel liquid cooling plate. The effects of the symmetric serpentine flow channel were investigated by adjusting structural parameters such as the number of channels, branch channel width, and secondary flow structure. Results show that increasing the channel numbers can enhance heat dissipation, but significantly increase the pressure drop in the inlet and outlet. Increasing the branch channel width can effectively improve the heat dissipation performance. The shortened secondary flow structure yields superior performance among the tested configurations. Specifically, the design with five channels, 24 mm branch width, and a shortened secondary flow structure reduces the maximum temperature difference and pressure drop by 23.84% and 59.02%, respectively. The proposed design outperforms the straight-channel plate in both temperature uniformity and pressure drop characteristics.
A novel symmetric serpentine channel structure was proposed for battery module thermal management. Numerical simulations were performed to investigate the bottom heat dissipation performance of a 1×6 series-connected prismatic battery module, compared against a straight-channel liquid cooling plate. The effects of the symmetric serpentine flow channel were investigated by adjusting structural parameters such as the number of channels, branch channel width, and secondary flow structure. Results show that increasing the channel numbers can enhance heat dissipation, but significantly increase the pressure drop in the inlet and outlet. Increasing the branch channel width can effectively improve the heat dissipation performance. The shortened secondary flow structure yields superior performance among the tested configurations. Specifically, the design with five channels, 24 mm branch width, and a shortened secondary flow structure reduces the maximum temperature difference and pressure drop by 23.84% and 59.02%, respectively. The proposed design outperforms the straight-channel plate in both temperature uniformity and pressure drop characteristics.
2025, 39(4): 477-484.
doi: 10.12299/jsues.24-0202
Abstract:
Based on the principle of Gibbs free energy minimization using HSC chemistry software, thermodynamic analysis of the CH4/CO2 reforming reaction process was performed. The effects of key parameters such as reaction temperature, pressure, feed ratio (n(CH4)/n(CO2) molar ratio), the inlet amounts of O2 and H2O, on the the equilibrium product distribution and reactant conversion were systematically explored. The results indicate that the conditions of1137 K, 101.325 kPa, n(CH4)/n(CO2) = 1.20, n(O2)/n(CH4) = 0.10, and n(H2O)/n(CH4) = 0.07 are most favorable for CH4/CO2 conversion and H2/CO generation. As an upstream reaction in numerous chemical synthesis chains, CH4/CO2 reforming effectively utilizes the two major greenhouse gases CH4 and CO2 to produce syngas (H2/CO), an important chemical raw materia. These findings benefits the development of related industries and provide a useful reference for global climate sustainability.
Based on the principle of Gibbs free energy minimization using HSC chemistry software, thermodynamic analysis of the CH4/CO2 reforming reaction process was performed. The effects of key parameters such as reaction temperature, pressure, feed ratio (n(CH4)/n(CO2) molar ratio), the inlet amounts of O2 and H2O, on the the equilibrium product distribution and reactant conversion were systematically explored. The results indicate that the conditions of
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.
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.
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.
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.
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.
2019, 33(3): 215-218,277.
doi: 10.3969/j.issn.1009-444X.2019.03.005
摘要：
综述了二氧化硅(SiO2)薄膜的制备方法和研究进展,介绍了磁控溅射、溶胶凝胶法和真空镀等SiO2薄膜制备方法及其优缺点,论述SiO2薄膜在光学、电学和光电等性能研究方面的新进展,最后对SiO2薄膜的应用和发展进行了展望.
综述了二氧化硅(SiO2)薄膜的制备方法和研究进展,介绍了磁控溅射、溶胶凝胶法和真空镀等SiO2薄膜制备方法及其优缺点,论述SiO2薄膜在光学、电学和光电等性能研究方面的新进展,最后对SiO2薄膜的应用和发展进行了展望.
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): 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.
2003, 17(2): 83-86.
doi: 10.3969/j.issn.1009-444X.2003.02.001
Abstract:
2019, 33(3): 283-284,288.
doi: 10.3969/j.issn.1009-444X.2019.03.017
Abstract:
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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
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