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(2): 119-124, 222.
doi: 10.12299/jsues.24-0080
Abstract:
The reduction of noise in the power system of electric vehicles has accentuated the contradictory issues between loudness and sharpness caused by wiper reversal. Multi-objective optimization methods can help guide multi-band collaborative active control and improve the sound quality of the wiper windshield system. Noise data during wiper operation were collected through actual vehicle test. A multi-objective optimization formulation was constructed based on the direct mapping relationships between the amplitude of characteristic frequency bands and loudness and sharpness. Sensitivity analysis identified a set of sensitive frequency bands that most significantly affect changes in loudness and sharpness. The multi-objective genetic algorithm NSGA-Ⅱ was employed to obtain the amplitude values of these sensitive bands yielding the best compromise between loudness and sharpness. Active control of loudness and sharpness was simulated using an active noise equalization (ANE) algorithm based on a filtered-error least mean square algorithm (FELMS) adaptive filter, verifying the feasibility of the optimal solution. The results show that the loudness is reduced by 15.4%, sharpness by 18%, achieving 94% of the optimal loudness reduction and 87% of the optimal sharpness reduction, demonstrating improved sound quality.
The reduction of noise in the power system of electric vehicles has accentuated the contradictory issues between loudness and sharpness caused by wiper reversal. Multi-objective optimization methods can help guide multi-band collaborative active control and improve the sound quality of the wiper windshield system. Noise data during wiper operation were collected through actual vehicle test. A multi-objective optimization formulation was constructed based on the direct mapping relationships between the amplitude of characteristic frequency bands and loudness and sharpness. Sensitivity analysis identified a set of sensitive frequency bands that most significantly affect changes in loudness and sharpness. The multi-objective genetic algorithm NSGA-Ⅱ was employed to obtain the amplitude values of these sensitive bands yielding the best compromise between loudness and sharpness. Active control of loudness and sharpness was simulated using an active noise equalization (ANE) algorithm based on a filtered-error least mean square algorithm (FELMS) adaptive filter, verifying the feasibility of the optimal solution. The results show that the loudness is reduced by 15.4%, sharpness by 18%, achieving 94% of the optimal loudness reduction and 87% of the optimal sharpness reduction, demonstrating improved sound quality.
2025, 39(2): 125-130.
doi: 10.12299/jsues.24-0048
Abstract:
Focusing on inertance systems and double-deck rail transit vehicle depot superstructure buildings, a finite element model was established and validated, the effectiveness of different types and inertance-to-mass ratios of inertance systems in controlling the vibration of these superstructure buildings was investigated. The results indicate that the three types of inertance systems viscous mass damper (VMD), tuned inerter damper (TID) and tuned viscous mass damper (TVMD) can all effectively reduce the Z-weighted vibration level on each floor of the upper building, and the damping effect becomes more pronounced as the inertance-to-mass ratio increases. Inertance systems TID and TVMD with different inertance-to-mass ratios exhibit larger reductions in the Z-weighted vibration level, reaching 1 dB~3 dB; whereas VMD shows relatively weaker damping performance, with a reduction in the Z-weighted vibration level of approximately 1 dB.
Focusing on inertance systems and double-deck rail transit vehicle depot superstructure buildings, a finite element model was established and validated, the effectiveness of different types and inertance-to-mass ratios of inertance systems in controlling the vibration of these superstructure buildings was investigated. The results indicate that the three types of inertance systems viscous mass damper (VMD), tuned inerter damper (TID) and tuned viscous mass damper (TVMD) can all effectively reduce the Z-weighted vibration level on each floor of the upper building, and the damping effect becomes more pronounced as the inertance-to-mass ratio increases. Inertance systems TID and TVMD with different inertance-to-mass ratios exhibit larger reductions in the Z-weighted vibration level, reaching 1 dB~3 dB; whereas VMD shows relatively weaker damping performance, with a reduction in the Z-weighted vibration level of approximately 1 dB.
2025, 39(2): 131-140, 173.
doi: 10.12299/jsues.24-0053
Abstract:
In response to the system operational anomalies caused by the mismatch between the vibration energy source and power supply requirements in piezoelectric passive sensing nodes for rail vehicle vibration, a node-level energy management strategy was proposed. By analyzing the structural composition, relevant parameters, and operational modes, an energy management strategy model was constructed. The particle swarm optimization (PSO) algorithm was then utilized to optimize and match the design parameters and operational modes, resulting in the design of a system solution and the development of a prototype. The results demonstrate that the node achieves a minimum standby power consumption of 8 mW, accurately collects traction motor vibration data, and extracts bearing fault characteristic frequencies from the data, validating the effectiveness of the proposed energy management strategy.
In response to the system operational anomalies caused by the mismatch between the vibration energy source and power supply requirements in piezoelectric passive sensing nodes for rail vehicle vibration, a node-level energy management strategy was proposed. By analyzing the structural composition, relevant parameters, and operational modes, an energy management strategy model was constructed. The particle swarm optimization (PSO) algorithm was then utilized to optimize and match the design parameters and operational modes, resulting in the design of a system solution and the development of a prototype. The results demonstrate that the node achieves a minimum standby power consumption of 8 mW, accurately collects traction motor vibration data, and extracts bearing fault characteristic frequencies from the data, validating the effectiveness of the proposed energy management strategy.
2025, 39(2): 141-147.
doi: 10.12299/jsues.23-0244
Abstract:
Low-power brushless DC motor (BLDC) in vehicles is prone to failures under complex operating conditions and harsh environments, while traditional detection measures relying on a single threshold setting often lead to issues such as false alarms, missed detections, and over-protection. A fault protection measure for vehicle motors was proposed, which was monitored by setting multi-threshold and sensitive value at the software level, and optimized circuit design at the hardware level. By monitoring the key voltage and current parameters of the test vehicle motor, combined with real-time data, experience and model simulation, multiple thresholds and sensitive values were set to judge the running state of the vehicle motor. According to the triggering conditions of different thresholds, corresponding protection measures were taken, and fault protection test bench was set up to analyze the signals received by the upper computer. The results show that the measure is feasible and correct.
Low-power brushless DC motor (BLDC) in vehicles is prone to failures under complex operating conditions and harsh environments, while traditional detection measures relying on a single threshold setting often lead to issues such as false alarms, missed detections, and over-protection. A fault protection measure for vehicle motors was proposed, which was monitored by setting multi-threshold and sensitive value at the software level, and optimized circuit design at the hardware level. By monitoring the key voltage and current parameters of the test vehicle motor, combined with real-time data, experience and model simulation, multiple thresholds and sensitive values were set to judge the running state of the vehicle motor. According to the triggering conditions of different thresholds, corresponding protection measures were taken, and fault protection test bench was set up to analyze the signals received by the upper computer. The results show that the measure is feasible and correct.
2025, 39(2): 148-156, 180.
doi: 10.12299/jsues.24-0068
Abstract:
Common detection algorithms often struggled with missed detections, false positives, and large deviations in predicted orientation angles in road vehicle detection. A fusion detection algorithm combining improved YOLOX and Second was designed. By leveraging images and point clouds, two sub-networks were employed for vehicle detection. For image detection, convolutional block attention module, focal loss, and efficient intersection over union loss function were used to improve the detection performance of existing YOLOX. For point cloud detection, a residual sparse convolutional middle layer was designed to enhance the feature expression and context information association of Second algorithm, effectively reducing the missed detection rate of vehicles. The predictive directional angles was optimized by constructing a multi-bins strategy. Experimental conducted on KITTI dataset show that the algorithm surpassed the original, with improvements of 1.00%, 1.38%, and 2.66% in 3D average precision for easy, moderate, and hard targets, respectively. The accuracy of detecting target rotation angles is also greatly improved.
Common detection algorithms often struggled with missed detections, false positives, and large deviations in predicted orientation angles in road vehicle detection. A fusion detection algorithm combining improved YOLOX and Second was designed. By leveraging images and point clouds, two sub-networks were employed for vehicle detection. For image detection, convolutional block attention module, focal loss, and efficient intersection over union loss function were used to improve the detection performance of existing YOLOX. For point cloud detection, a residual sparse convolutional middle layer was designed to enhance the feature expression and context information association of Second algorithm, effectively reducing the missed detection rate of vehicles. The predictive directional angles was optimized by constructing a multi-bins strategy. Experimental conducted on KITTI dataset show that the algorithm surpassed the original, with improvements of 1.00%, 1.38%, and 2.66% in 3D average precision for easy, moderate, and hard targets, respectively. The accuracy of detecting target rotation angles is also greatly improved.
2025, 39(2): 157-165.
doi: 10.12299/jsues.24-0097
Abstract:
The rheological behavior and microstructure evolution of the new near-α titanium alloy under different deformation conditions were investigated by thermal compression tests and microstructure characterization experiments. The results show that the real stress-strain curve displays characteristics of stress decrease and tendency to stabilize after the peak. At high strain rates, the peak stress is high and decreases rapidly. The transformation of the hard-oriented α phase to the soft-oriented β phase leads to a rapid decrease in the flow stress, with dynamic recrystallization (DRX) refining grains and dynamic recovery (DRV) rearranging dislocations within subgrains. Based on these findings, a dynamic recrystallization volume fraction model was established.
The rheological behavior and microstructure evolution of the new near-α titanium alloy under different deformation conditions were investigated by thermal compression tests and microstructure characterization experiments. The results show that the real stress-strain curve displays characteristics of stress decrease and tendency to stabilize after the peak. At high strain rates, the peak stress is high and decreases rapidly. The transformation of the hard-oriented α phase to the soft-oriented β phase leads to a rapid decrease in the flow stress, with dynamic recrystallization (DRX) refining grains and dynamic recovery (DRV) rearranging dislocations within subgrains. Based on these findings, a dynamic recrystallization volume fraction model was established.
2025, 39(2): 166-173.
doi: 10.12299/jsues.24-0043
Abstract:
Using solid sodium hydroxide as the alkaline exciter and slag and fly ash as the precursors, the fly ash-slag based geopolymer was prepared by "one-step" method. Through the unconsolidated and undrained (UU) triaxial shear test, the mechanical properties of soft soil stabilized with fly ash-slag based geopolymer were tested, and the influence mechanism of such as fly ash content, water to biner ratio, and curing time on the shear strength of the stabilized soft soil were investigated. The cohesion and internal friction angle of the stabilized soft soil were calculated, and the mechanisms of geopolymer stabilizing soft soil were also analyzed through microscopic tests. The results show that the increase of fly ash doping leads to the decrease of shear strength and internal friction angle of geopolymer stabilized soft soil; the increase of water to binder ratio reduces the shear strength of stabilized soft soil; the increase of cofining pressure makes the strain softening gradually weakened, and the strength gradually improved; the increase of curing time increases the shear strength, and the cohesion and the internal friction angle show a rising trend at the same time.
Using solid sodium hydroxide as the alkaline exciter and slag and fly ash as the precursors, the fly ash-slag based geopolymer was prepared by "one-step" method. Through the unconsolidated and undrained (UU) triaxial shear test, the mechanical properties of soft soil stabilized with fly ash-slag based geopolymer were tested, and the influence mechanism of such as fly ash content, water to biner ratio, and curing time on the shear strength of the stabilized soft soil were investigated. The cohesion and internal friction angle of the stabilized soft soil were calculated, and the mechanisms of geopolymer stabilizing soft soil were also analyzed through microscopic tests. The results show that the increase of fly ash doping leads to the decrease of shear strength and internal friction angle of geopolymer stabilized soft soil; the increase of water to binder ratio reduces the shear strength of stabilized soft soil; the increase of cofining pressure makes the strain softening gradually weakened, and the strength gradually improved; the increase of curing time increases the shear strength, and the cohesion and the internal friction angle show a rising trend at the same time.
2025, 39(2): 174-180.
doi: 10.12299/jsues.24-0085
Abstract:
To prepare the hydroxypropyl-β-cyclodextrin inclusion complex from clove essential oil using saturated aqueous solution method. Based on the single factor experiments, the ratio of hydroxypropyl-β-cyclodextrin to volatile oil, encapsulation temperature, and encapsulation time were used as influencing factors, and the comprehensive score was used as the response value. The encapsulation process was optimized by Box-Behnken response surface methodology. The optimal condition was obtained as the ratio of hydroxypropyl-β-cyclodextrin to volatile oil was 14.5∶1, with an inclusion temperature of 59 ℃ and an inclusion time of 2.4 h. The comprehensive score of the three validation experiments is 92.21%±0.50%, which is close to the predicted value, indicating that the prediction of the model is accurate and reliable. The inclusion complex was observed under microscope, analyzed by thin layer chromatography (TLC), and identified by infrared spectroscopy, proving the formation of a stable inclusion complex. These results can provide data support for further development and utilization of clove volatile oil.
To prepare the hydroxypropyl-β-cyclodextrin inclusion complex from clove essential oil using saturated aqueous solution method. Based on the single factor experiments, the ratio of hydroxypropyl-β-cyclodextrin to volatile oil, encapsulation temperature, and encapsulation time were used as influencing factors, and the comprehensive score was used as the response value. The encapsulation process was optimized by Box-Behnken response surface methodology. The optimal condition was obtained as the ratio of hydroxypropyl-β-cyclodextrin to volatile oil was 14.5∶1, with an inclusion temperature of 59 ℃ and an inclusion time of 2.4 h. The comprehensive score of the three validation experiments is 92.21%±0.50%, which is close to the predicted value, indicating that the prediction of the model is accurate and reliable. The inclusion complex was observed under microscope, analyzed by thin layer chromatography (TLC), and identified by infrared spectroscopy, proving the formation of a stable inclusion complex. These results can provide data support for further development and utilization of clove volatile oil.
2025, 39(2): 181-186.
doi: 10.12299/jsues.24-0272
Abstract:
A systematic study on the extrusion process of automotive shaft parts with complex external splines was carried out. Firstly, the characterisation of the parts were analyzed. Three process parameters of extrusion speed, friction coefficient and billet taper angle were selected using Deform software, and orthogonal simulation tests were performed. The optimal process parameters determined using the range analysis method were as follows: punch extrusion speed of 20 mm/s, friction coefficient of 0.12, and billet taper angle of 15°. The results indicate that the maximum extrusion load and the minimum damage value obtained under these optimized conditions. Compared with the pre-optimisation process, the extrusion load was reduced by 26.3%, and the damage value was reduced by 81.4%.
A systematic study on the extrusion process of automotive shaft parts with complex external splines was carried out. Firstly, the characterisation of the parts were analyzed. Three process parameters of extrusion speed, friction coefficient and billet taper angle were selected using Deform software, and orthogonal simulation tests were performed. The optimal process parameters determined using the range analysis method were as follows: punch extrusion speed of 20 mm/s, friction coefficient of 0.12, and billet taper angle of 15°. The results indicate that the maximum extrusion load and the minimum damage value obtained under these optimized conditions. Compared with the pre-optimisation process, the extrusion load was reduced by 26.3%, and the damage value was reduced by 81.4%.
2025, 39(2): 187-193.
doi: 10.12299/jsues.24-0081
Abstract:
A voice coil motor-driven two-degree-of-freedom translational large-stroke decoupled micro-motion stage was proposed, which adopts a parallel dual-push-pull structure coupling straight flexible reed beams with a compound double parallelogram mechanism. Based on the push-pull driving principle of the voice coil motor and the configuration design of the dual-degree-of-freedom flexible mechanism, the static and dynamic characteristics of the platform were modeled using the force and deformation characteristics of the spring beam and the Lagrange equation, and an analytical model for calculating the static stiffness and natural frequency of the platform was obtained. Finite element analysis was conducted to validate the rationality and accuracy of the proposed models, and a control experimental system for the platform was constructed to compare trajectory tracking performance between single-push-pull and dual-push-pull modes. The experimental results show that the dual-push-pull mode has better tracking performance, higher precision, and better stability compared to the single-push-pull mode. The proposed complementary voice coil motor-driven large stroke flexible parallel precision motion platform features large stroke, high precision, and high stability characteristics, making it particularly suitable for large-stroke high-speed precision motion scenarios.
A voice coil motor-driven two-degree-of-freedom translational large-stroke decoupled micro-motion stage was proposed, which adopts a parallel dual-push-pull structure coupling straight flexible reed beams with a compound double parallelogram mechanism. Based on the push-pull driving principle of the voice coil motor and the configuration design of the dual-degree-of-freedom flexible mechanism, the static and dynamic characteristics of the platform were modeled using the force and deformation characteristics of the spring beam and the Lagrange equation, and an analytical model for calculating the static stiffness and natural frequency of the platform was obtained. Finite element analysis was conducted to validate the rationality and accuracy of the proposed models, and a control experimental system for the platform was constructed to compare trajectory tracking performance between single-push-pull and dual-push-pull modes. The experimental results show that the dual-push-pull mode has better tracking performance, higher precision, and better stability compared to the single-push-pull mode. The proposed complementary voice coil motor-driven large stroke flexible parallel precision motion platform features large stroke, high precision, and high stability characteristics, making it particularly suitable for large-stroke high-speed precision motion scenarios.
2025, 39(2): 194-200, 208.
doi: 10.12299/jsues.24-0049
Abstract:
A steady-state two-phase heat and mass transfer model was developed for a single proton exchange membrane (PEM) electrolyzer to investigate the effects of different groove structures (triangular, tooth-shaped and goose-shaped) on its performance. The influence of groove depth, number and spacing was examined. The results show that incorporating grooves in the anode flow channel can improve electrochemical performance, enhance the heat and mass transfer, and increase the efficiency of the electrolyzer, with the best optimization effect of the goose-shaped groove. Within the range of 0.4~1.6 mm in depth, the electrolyzer corresponding to 0.8 mm has the best performance. Compared to a conventional flow channel, the optimized electrolyzer has a lower potential to achieve the same current density, has a better proportion of water saturation and oxygen content in the anode region, and has a lower proton exchange membrane temperature, thereby improving the performance of the electrolyzer.
A steady-state two-phase heat and mass transfer model was developed for a single proton exchange membrane (PEM) electrolyzer to investigate the effects of different groove structures (triangular, tooth-shaped and goose-shaped) on its performance. The influence of groove depth, number and spacing was examined. The results show that incorporating grooves in the anode flow channel can improve electrochemical performance, enhance the heat and mass transfer, and increase the efficiency of the electrolyzer, with the best optimization effect of the goose-shaped groove. Within the range of 0.4~1.6 mm in depth, the electrolyzer corresponding to 0.8 mm has the best performance. Compared to a conventional flow channel, the optimized electrolyzer has a lower potential to achieve the same current density, has a better proportion of water saturation and oxygen content in the anode region, and has a lower proton exchange membrane temperature, thereby improving the performance of the electrolyzer.
2025, 39(2): 201-208.
doi: 10.12299/jsues.24-0072
Abstract:
In order to investigate the aerodynamic performance of the tethered unmanned aerial vehicle (UAV) and the deformation of the tether, the dynamic response analysis of the tethered UAV was conducted. A tethered UAV model was developed, and numerical simulations were performed using using a fluid-structure interaction (FSI) analysis method, standard k-ε turbulence model, and slip-grid technology. The dynamic performance of the tethered UAV system under crosswinds at different wind speeds was investigated. The results shows that the vortex strength increases significantly with crosswind speed, particularly on the windward side. The tether deformed under the combined effect of wind and its gravity, and the maximum deformation occurs at a specific location and varies with wind speed. The maximum deformation was 448 mm, and the overall average deformation was 145 mm in 10 s. It can be used as a reference for the design and utilization conditions of tethered UAVs.
In order to investigate the aerodynamic performance of the tethered unmanned aerial vehicle (UAV) and the deformation of the tether, the dynamic response analysis of the tethered UAV was conducted. A tethered UAV model was developed, and numerical simulations were performed using using a fluid-structure interaction (FSI) analysis method, standard k-ε turbulence model, and slip-grid technology. The dynamic performance of the tethered UAV system under crosswinds at different wind speeds was investigated. The results shows that the vortex strength increases significantly with crosswind speed, particularly on the windward side. The tether deformed under the combined effect of wind and its gravity, and the maximum deformation occurs at a specific location and varies with wind speed. The maximum deformation was 448 mm, and the overall average deformation was 145 mm in 10 s. It can be used as a reference for the design and utilization conditions of tethered UAVs.
2025, 39(2): 209-215.
doi: 10.12299/jsues.24-0070
Abstract:
Inconel 718 alloy is considered a typical difficult-to-machine material. The cutting simulation and experimental research of Inconel 718 alloy were conducted through the design of three different shapes of micro-weave on the front face of the tool: square, round, and triangular. The influence of the shape of the micro-weave on the machining performance of Inconel 718 was explored, and the material removal process, stress distribution, chip morphology, and cutting force during the cutting process were analyzed. The change rule of these aspects was passively observed and documented. The results show that compared with ordinary tools, microtextured tools can effectively reduce the cutting force, reduce the tool-chip contact length and improve the friction of the tool. In addition, the phenomenon of secondary cutting in the cutting process was discussed, the mechanism of secondary cutting was analyzed, a method to inhibit secondary cutting through force analysis was propose, and the reliability of the method was verified by using experiments and finite element simulation.
Inconel 718 alloy is considered a typical difficult-to-machine material. The cutting simulation and experimental research of Inconel 718 alloy were conducted through the design of three different shapes of micro-weave on the front face of the tool: square, round, and triangular. The influence of the shape of the micro-weave on the machining performance of Inconel 718 was explored, and the material removal process, stress distribution, chip morphology, and cutting force during the cutting process were analyzed. The change rule of these aspects was passively observed and documented. The results show that compared with ordinary tools, microtextured tools can effectively reduce the cutting force, reduce the tool-chip contact length and improve the friction of the tool. In addition, the phenomenon of secondary cutting in the cutting process was discussed, the mechanism of secondary cutting was analyzed, a method to inhibit secondary cutting through force analysis was propose, and the reliability of the method was verified by using experiments and finite element simulation.
2025, 39(2): 216-222.
doi: 10.12299/jsues.24-0063
Abstract:
In a dual-arm surgical robot environment, it is essential for the robotic arms to reach target positions safely and efficiently. An adaptive APF-Informed-RRT* path planning algorithm was proposed to overcome limitation of traditional APF-Informed-RRT* algorithms, such as lack of adaptability and insufficient path stability, thereby improving the quality of path planning for robotic arms. The coefficients of the attraction term, repulsion term, and random guidance term were dynamically adjusted based on the Euclidean distance from the robot's current position to the target, as well as the density of obstacles in the nearby area. This adaptability helps to reduce the path planning cost by adjusting to the environment. Simulation results show that compared to the APF-Informed-RRT* algorithm, the proposed method performs better in terms of path cost and search range in a 3D oral simulation environment. This adaptability endows the algorithm with effective stability in path planning tasks.
In a dual-arm surgical robot environment, it is essential for the robotic arms to reach target positions safely and efficiently. An adaptive APF-Informed-RRT* path planning algorithm was proposed to overcome limitation of traditional APF-Informed-RRT* algorithms, such as lack of adaptability and insufficient path stability, thereby improving the quality of path planning for robotic arms. The coefficients of the attraction term, repulsion term, and random guidance term were dynamically adjusted based on the Euclidean distance from the robot's current position to the target, as well as the density of obstacles in the nearby area. This adaptability helps to reduce the path planning cost by adjusting to the environment. Simulation results show that compared to the APF-Informed-RRT* algorithm, the proposed method performs better in terms of path cost and search range in a 3D oral simulation environment. This adaptability endows the algorithm with effective stability in path planning tasks.
2025, 39(2): 223-228.
doi: 10.12299/jsues.24-0079
Abstract:
A low noise LC-VCO with a working frequency of 3.8~4.0 GHz was designed using the 0.25 μm GaAs HBT process of San'an Optoelectronics. The design adopted a bipolar junction transistor to form a differential negative resistance structure, and used a source resistance bias circuit to provide the working current. Finally, the tail inductance and large-capacity filtering technology were used to improve the noise factor, and the microstrip line was used instead of inductance in the layout design to achieve a lower noise factor. The post-chip simulation results show that the LC-VCO designed has a frequency range of 3.75~4.05 GHz, an amplitude of 1.6 V, a phase noise of −118.8 dBc at 1 MHz offset, and a voltage control sensitivity of 43 MHz/V.
A low noise LC-VCO with a working frequency of 3.8~4.0 GHz was designed using the 0.25 μm GaAs HBT process of San'an Optoelectronics. The design adopted a bipolar junction transistor to form a differential negative resistance structure, and used a source resistance bias circuit to provide the working current. Finally, the tail inductance and large-capacity filtering technology were used to improve the noise factor, and the microstrip line was used instead of inductance in the layout design to achieve a lower noise factor. The post-chip simulation results show that the LC-VCO designed has a frequency range of 3.75~4.05 GHz, an amplitude of 1.6 V, a phase noise of −118.8 dBc at 1 MHz offset, and a voltage control sensitivity of 43 MHz/V.
2025, 39(2): 229-235.
doi: 10.12299/jsues.24-0075
Abstract:
Light filaments are pivotal in ultrafast laser applications, and enhancing the long-distance propagation of light filaments substantially broadens their application prospects.Wrapped beams exhibits characteristics that significantly enhance the long-distance propagation of light filaments, with their annular portions playing a crucial role during propagation. Based on the split-step Fourier transform simulation method, the propagation characteristics of wrapped beams endowed with varied annular segments were systematically investigated through comparative simulation. The results indicate that the input energy, beam waist radius and central distance of the annular portion of the wrapped beam all influence the filament's propagation. Fine-tuning the annular parameters can optimize the propagation efficiency of laser filamentation, expanding the applications domains of ultrafast lasers.
Light filaments are pivotal in ultrafast laser applications, and enhancing the long-distance propagation of light filaments substantially broadens their application prospects.Wrapped beams exhibits characteristics that significantly enhance the long-distance propagation of light filaments, with their annular portions playing a crucial role during propagation. Based on the split-step Fourier transform simulation method, the propagation characteristics of wrapped beams endowed with varied annular segments were systematically investigated through comparative simulation. The results indicate that the input energy, beam waist radius and central distance of the annular portion of the wrapped beam all influence the filament's propagation. Fine-tuning the annular parameters can optimize the propagation efficiency of laser filamentation, expanding the applications domains of ultrafast lasers.
2025, 39(2): 236-242.
doi: 10.12299/jsues.24-0087
Abstract:
Aiming at the problems of low search efficiency and difficulty in resolving path conflicts when the ant colony algorithm was used to the cooperative path planning problem of multiple mobile robots, a dual-layer cooperative path planning method was proposed. In the static layer, the crossover mechanism of genetic algorithm was integrated into ant colony algorithm, and the evolutionary path crossover strategy was established to improve the quality of planning path.Concurrently, the calculation method of pheromone increment differentiation was adopted to accelerate the convergence speed of ant colony algorithm. In the dynamic layer, collision prediction was conducted based on a three-dimensional space-time map, and a priority conflict-free strategy was employed to effectively resolve path conflict. Simulation results show that the proposed dual-layer dynamic cooperative path planning method can improve the comprehensive performance of the algorithm and solve the cooperative path planning problem, which verifying the feasibility and effectiveness of the proposed algorithm.
Aiming at the problems of low search efficiency and difficulty in resolving path conflicts when the ant colony algorithm was used to the cooperative path planning problem of multiple mobile robots, a dual-layer cooperative path planning method was proposed. In the static layer, the crossover mechanism of genetic algorithm was integrated into ant colony algorithm, and the evolutionary path crossover strategy was established to improve the quality of planning path.Concurrently, the calculation method of pheromone increment differentiation was adopted to accelerate the convergence speed of ant colony algorithm. In the dynamic layer, collision prediction was conducted based on a three-dimensional space-time map, and a priority conflict-free strategy was employed to effectively resolve path conflict. Simulation results show that the proposed dual-layer dynamic cooperative path planning method can improve the comprehensive performance of the algorithm and solve the cooperative path planning problem, which verifying the feasibility and effectiveness of the proposed algorithm.
2025, 39(2): 243-250.
doi: 10.12299/jsues.24-0074
Abstract:
The scarcity of infrared defect samples and the difficulty in acquiring them during the automated tape laying process result in low classification accuracy and ineffective defect identification by classification model algorithm. To address this issue, a data augmentation method based on an attention mechanism Wasserstein generative adversarial network (WGAN) was proposed. A CB-Attention module was introduced into the generator to enhance its capability to capture image feature, expand the receptive field, and improve the quality of generated images without adding extra parameters. Batch channel normalization was employed to adaptively integrate information from both channel and batch dimensions, thereby imcreasing the model's training speed and generalization ability. Experimental results demonstrate that the samples generated by the attention-based data augmentation method are diverse and of high quality. Incorporating these samples into the small dataset of automated tape laying defects significantly improves defect recongnition accuracy, which validates the ffectiveness of the proposed algorithm and lays a data foundation for automated tape laying defect classification algorithms.
The scarcity of infrared defect samples and the difficulty in acquiring them during the automated tape laying process result in low classification accuracy and ineffective defect identification by classification model algorithm. To address this issue, a data augmentation method based on an attention mechanism Wasserstein generative adversarial network (WGAN) was proposed. A CB-Attention module was introduced into the generator to enhance its capability to capture image feature, expand the receptive field, and improve the quality of generated images without adding extra parameters. Batch channel normalization was employed to adaptively integrate information from both channel and batch dimensions, thereby imcreasing the model's training speed and generalization ability. Experimental results demonstrate that the samples generated by the attention-based data augmentation method are diverse and of high quality. Incorporating these samples into the small dataset of automated tape laying defects significantly improves defect recongnition accuracy, which validates the ffectiveness of the proposed algorithm and lays a data foundation for automated tape laying defect classification algorithms.
2025, 39(2): 251-256.
doi: 10.12299/jsues.24-0073
Abstract:
Existing researches on sports arm sleeves predominantly focus on the singular effect of compression in alleviating muscle fatigue, with limited integration of far-infrared radiation (FIR) technology investigated. In this study, sports arm sleeves were knitted using graphene-nylon composite fiber and nylon yarn, with far-infrared fiber contents (mass fraction, the same hereafter) of 0%, 25%, 50%, and 75%. Their effects on reducing muscle fatigue in the arm were evaluated under three pressure levels. Muscle fatigue was assessed using the root mean square (RMS) and median frequency (MF) of electromyographic signals, as well as subjective fatigue scores. The results indicate that FIR-integrated sleeves effectively reduce muscle fatigue after exercise, with the effect increasing as FIR fiber content rises, peaking at 75% content. At the same FIR contents, medium- and high-compression sleeves are more effective in alleviating muscle fatigue, particularly in the brachioradialis and flexor carpi radialis muscles. This may be attributed to the sequence of muscle activation and involvement degree during exercise.
Existing researches on sports arm sleeves predominantly focus on the singular effect of compression in alleviating muscle fatigue, with limited integration of far-infrared radiation (FIR) technology investigated. In this study, sports arm sleeves were knitted using graphene-nylon composite fiber and nylon yarn, with far-infrared fiber contents (mass fraction, the same hereafter) of 0%, 25%, 50%, and 75%. Their effects on reducing muscle fatigue in the arm were evaluated under three pressure levels. Muscle fatigue was assessed using the root mean square (RMS) and median frequency (MF) of electromyographic signals, as well as subjective fatigue scores. The results indicate that FIR-integrated sleeves effectively reduce muscle fatigue after exercise, with the effect increasing as FIR fiber content rises, peaking at 75% content. At the same FIR contents, medium- and high-compression sleeves are more effective in alleviating muscle fatigue, particularly in the brachioradialis and flexor carpi radialis muscles. This may be attributed to the sequence of muscle activation and involvement degree during exercise.
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.
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(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.
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.
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.
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.
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.
2018, 32(4): 324-328.
doi: 10.3969/j.issn.1009-444X.2018.04.007
摘要：
综述人工神经网络在轧制参数预报中的应用,包括轧制力能参数、组织性能和温度的预报;并介绍了混合人工神经网络模型与改进的人工神经网络模型,其中混合对象包括传统数学模型、有限元和其他智能算法.研究表明,人工神经网络在轧钢参数预报中具备很大的优势,能显著提高轧钢相关参数预报精度,提升轧材的品质.
综述人工神经网络在轧制参数预报中的应用,包括轧制力能参数、组织性能和温度的预报;并介绍了混合人工神经网络模型与改进的人工神经网络模型,其中混合对象包括传统数学模型、有限元和其他智能算法.研究表明,人工神经网络在轧钢参数预报中具备很大的优势,能显著提高轧钢相关参数预报精度,提升轧材的品质.
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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