上海工程技术大学学报

2025, 39(4): 1-2.

Abstract:

[Abstract](28) [FullText HTML] (18) [PDF 382KB](7)

Acoustic-structural coupling analysis of wiper-windshield friction noise

HUANG Zhichao, WANG Yansong, YUAN Tao, LIU Ningning

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.

[Abstract](40) [FullText HTML] (23) [PDF 1832KB](5)

Research on prediction of vehicle drag coefficient based on machine learning

ZHANG Hongwei, YUAN Zihou, DU Yanming, ZHENG Xingren

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.

[Abstract](48) [FullText HTML] (23) [PDF 1608KB](5)

Control strategy for AEB in target traversing based on PreScan

ZHANG Bingli, ZUO Yunjie, WANG Yixin, HUANG Zhonghan, LI Ren, CAO Lisong

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.

[Abstract](34) [FullText HTML] (15) [PDF 835KB](5)

Design and analysis of bird wing for flapping-wing aircraft based on CFD method

ZHANG Haibo, QIU Wenqian, YAN Cunyue, LI Chuanchang

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.

[Abstract](32) [FullText HTML] (20) [PDF 3475KB](6)

Characteristics of water pollution and ecological risk assessment of scenic rivers: a case study of Beichaogang in Shanghai

GU Dungang, CAO Yang, WANG Yizhen, LIU Zaiwei, YAN Lili, LI Guanghui

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.

[Abstract](36) [FullText HTML] (17) [PDF 1712KB](7)

Zinc-ion hybrid supercapacitor based on activated carbon cathode material

LI Shuaishuai, HUANG Qiannan, LI Wenyao

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.

[Abstract](44) [FullText HTML] (22) [PDF 1738KB](8)

Effects of iron overload on duodenal iron metabolism and health in rats

JIANG Shuxia, SHU Yujia, GUO Shihui, SHAN Hongli, MA Wenqiang

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.

[Abstract](28) [FullText HTML] (18) [PDF 1277KB](6)

Performance study of catalytic soot combustion using M_0.3Co_2.7O₄ solid solution nanocrystals

ZHANG Nianchen, WANG Chen, HAN Mengyu, SUN Honghua, WANG Jinguo

2025, 39(4): 420-427. doi: 10.12299/jsues.24-0128

Abstract:
Transition-metal ion M (M = Cu、Ni) doped M_0.3Co_2.7O₄ 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 Cu_0.3Co_2.7O₄ nanocrystals exhibit the optimal catalytic performance with a T_m 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, Cu_0.3Co_2.7O₄ solid solution nanocrystals showed good stability, providing a theoretical basis for designing high-efficiency diesel soot purification catalysts.

[Abstract](30) [FullText HTML] (18) [PDF 2511KB](6)

Hysteresis compensation and positive velocity-position feedback resonance control of piezoelectric driven nanopositioning stage

SIMA Jinfu, LAI Leijie

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.

[Abstract](44) [FullText HTML] (19) [PDF 1740KB](6)

Data driven health monitoring and fault diagnosis of mechanical equipment

ZHANG Meihua, TAO Ran

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.

[Abstract](35) [FullText HTML] (27) [PDF 1485KB](6)

Path planning for autonomous empty container handler based on A* algorithm and spiral curve optimization strategy

HE Weihan, CUI Guohua, LU Shengyao, ZHANG Ruoping

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.

[Abstract](25) [FullText HTML] (18) [PDF 2417KB](5)

Map construction for construction robot based on integrated improved algorithm

XUE Hui, ZHANG Zhenshan, ZHANG Yanwei, ZHU Zina, CUI Guohua, LU Shengyao

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.

[Abstract](32) [FullText HTML] (20) [PDF 2279KB](5)

Analysis of offshore floating photovoltaic motion power generation based on digital fusion

LIU Bo, PENG Lele, CHEN Yujie, WANG Jia'nan

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.

[Abstract](40) [FullText HTML] (22) [PDF 4858KB](6)

Optimization of condenser fins and water harvesting experimental study on air-water harvesting device

XU Conghui, XIA Peng

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.

[Abstract](35) [FullText HTML] (22) [PDF 2575KB](5)

Study on thermal characteristics of symmetric serpentine flow channel liquid cooling plate for prismatic battery module

ZHANG Zhengzhe, ZHANG Hengyun, ZHANG Jiansheng, ZHAO Can

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.

[Abstract](36) [FullText HTML] (23) [PDF 1182KB](6)

Thermodynamic analysis of product distribution and conversion rate of CH₄/CO₂ reforming products

QIU Lipei, WANG Sha, HU Bin, YAN Jinbiao, SHEN Jun

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 of 1137 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.

[Abstract](49) [FullText HTML] (28) [PDF 1451KB](7)

Current Articles 2025, Volume 39, Issue 4

Current Articles
2025, Volume 39, Issue 4