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学者姓名：聂松林
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摘要 ：
This study proposes a multi-objective optimization method based on a hybrid of computational fluid dynamics (CFD) and experimental techniques, which integrates a weighted average surrogate model and the NSGA-II intelligent algorithm. To validate the feasibility of this method, structural optimization for the self-excited oscillation mixer (SEOM) was conducted. The optimization objectives aimed to reduce potential abrasives accumulation in the mixed-flow cavity and minimize erosion on the elbow of the slurry outlet caused by mixed slurry, thereby enhancing the service life and rust removal efficiency of the mixed flow rotary jet descaling (MFD). A comparison between the optimized model and original model revealed a 2.51% increase in negative pressure within the cavity of the optimized model, as well as a 10.36% decrease in velocity at the outlet of mixed slurry based on simulation results. Experimental methods measured both mass flow rate of inhaled abrasive particles and impact force of mixed slurry outlet. The experimental results demonstrated that compared to its original counterpart, the optimized model exhibited superior performance with a 22.81% increase in abrasive particle flow rate and an 11.34% reduction in mixed slurry impact force indirectly, verifying better simulation effectiveness for SEOM with optimized structure. This approach also enhanced efficiency and surface quality of MFD processing strip steel, providing guidance for structural optimization of similar SEOMs used in mixed flow descaling.
关键词 ：
self-excited oscillation mixer self-excited oscillation mixer surrogate model surrogate model Mixed flow descaling Mixed flow descaling CFD CFD erosion erosion abrasive abrasive
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| GB/T 7714 | Nie, Songlin , Cai, Jie , Ji, Hui et al. Multi-objective optimization integrating weighted average surrogate model and NSGA-II intelligent algorithm applied to a self-excited oscillation mixer used in mixed flow descaling [J]. | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE , 2024 , 238 (15) : 7444-7462 . |
| MLA | Nie, Songlin et al. "Multi-objective optimization integrating weighted average surrogate model and NSGA-II intelligent algorithm applied to a self-excited oscillation mixer used in mixed flow descaling" . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 238 . 15 (2024) : 7444-7462 . |
| APA | Nie, Songlin , Cai, Jie , Ji, Hui , Zhang, Jinli , Hong, Ruidong . Multi-objective optimization integrating weighted average surrogate model and NSGA-II intelligent algorithm applied to a self-excited oscillation mixer used in mixed flow descaling . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE , 2024 , 238 (15) , 7444-7462 . |
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摘要 ：
The present study focuses on the development of a novel venturi-based self-excited oscillation mixer that effectively utilizes the venturi effect to facilitate efficient abrasive intake while simultaneously ensuring effective prevention of backflow through the utilization of the systolic section within the venturi tube. It not only ensures uniform mixing of water and abrasive but also transforms the continuous jet into a pulsed one, thereby significantly enhancing exit velocity. The orthogonal experimental design method and single factor experiment method were employed to investigate the effects of inlet water pressure, water nozzle diameter, abrasive inlet angle, aspect ratio of the self-excited oscillation mixer, and abrasive pipe inlet diameter on the inlet pressure of the abrasive pipe and the velocity of the jet exit in the new mixing device. Approximate response surface models for these parameters were constructed using lsight optimization software, combining the results of orthogonal experimental simulation. By employing a multi-island genetic algorithm, we have globally optimized this innovative mixing device to determine its optimal performance parameters. Subsequently, comparative experiments were conducted to validate the performance of different mixing devices in descaling applications. Through experimental verification, it was found that the venturi-self-excited oscillation mixer exhibits excellent rust removal capabilities in steel plate tests compared to traditional self-excited oscillation mixers. These findings provide valuable guidance for the subsequent design and enhancement of abrasive water jet mixers.
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| GB/T 7714 | Nie, Songlin , Zhang, Jinli , Hong, Ruidong et al. Effect of parameter optimization on the flow characteristics of venturi-self-excited oscillation mixer based on response surface model and multi-island genetic algorithm [J]. | PHYSICS OF FLUIDS , 2024 , 36 (5) . |
| MLA | Nie, Songlin et al. "Effect of parameter optimization on the flow characteristics of venturi-self-excited oscillation mixer based on response surface model and multi-island genetic algorithm" . | PHYSICS OF FLUIDS 36 . 5 (2024) . |
| APA | Nie, Songlin , Zhang, Jinli , Hong, Ruidong , Ji, Hui , Ji, Haidong . Effect of parameter optimization on the flow characteristics of venturi-self-excited oscillation mixer based on response surface model and multi-island genetic algorithm . | PHYSICS OF FLUIDS , 2024 , 36 (5) . |
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摘要 ：
Addressing the contradiction between the magneto-rheological properties and dispersion stability of MRFs poses a significant challenge in the preparation process. This paper proposes a micro-nano composite material design scheme using graphene oxide as a grafting agent to encapsulate nanoscale magnetite (Fe3O4) particles onto the surface of carbonyl iron powders. The prepared micro-nano composite magnetic microspheres achieve a reduction in density for enhanced stability while ensuring no compromise in magnetic performance. The effectiveness of the preparation process is ensured through the analysis of the microscopic morphology, crystal structure, and elemental characteristics of all process products using Field Emission Scanning Electron Microscopy (FE-SEM), powder X-ray diffraction (XRD), Raman Spectroscopy, and Fourier Transform Infrared Spectroscopy (FTIR). To obtain MRFs more suitable for magneto-rheological damper applications, this study synthesized micro-nano composite MRFs with different base liquids and varying volume fractions. The stability and magneto-rheological properties of each sample were analyzed through visual techniques and rheological testing platforms. The results indicated that micro-nano composite MRFs based on 40% to 50% silicone oil exhibit superior stability in various aspects, including sedimentation stability, redispersion stability, and temperature stability. Additionally, the micro-nano composite MRFs demonstrated significantly enhanced magnetic performance compared to pure micrometer-sized, pure nanometer-sized, and micro-nano hybrid MRFs.
关键词 ：
Magneto rheology Magneto rheology Micro -nano particle Micro -nano particle Stabilization Stabilization Magnetic microspheres Magnetic microspheres Smart damper Smart damper
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| GB/T 7714 | Nie, Songlin , Wang, Wen , Gong, Fei et al. Fabrication and characterization of graphene oxide (GO)-modified micro-nano composite magnetic microspheres [J]. | JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS , 2024 , 597 . |
| MLA | Nie, Songlin et al. "Fabrication and characterization of graphene oxide (GO)-modified micro-nano composite magnetic microspheres" . | JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS 597 (2024) . |
| APA | Nie, Songlin , Wang, Wen , Gong, Fei , Yin, Fanglong , Ma, Zhonghai . Fabrication and characterization of graphene oxide (GO)-modified micro-nano composite magnetic microspheres . | JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS , 2024 , 597 . |
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摘要 ：
A water hydraulic flexible gripper with three flexible actuators is proposed, which integrates a soft external skin and a flexible inner skeleton to enhance resistance against water pressure. To investigate the deformation characteristics of the water hydraulic flexible actuator, a mathematical model is established to describe the relationship between water pressure and actuator deformation. The effects of different materials, structural sizes, and inlet pressure are analyzed through simulation. A Kriging model is utilized to fit the simulation results, while a multi-island genetic algorithm is employed to obtain an optimal solution for the structure of the flexible actuator. Finally, the deformation of the flexible actuator under various inlet pressures is quantified through experimental measurements, and the obtained results exhibit degree of consistency with the simulation outcomes. After completing static experiments at a simulated sea depth of 1000 m, the tip forces of flexible actuators were tested, and then land and underwater grasping experiments were conducted. The water-hydraulic flexible actuator developed in this study has great potential for handling fragile or deformable objects during deep-sea. This promotes the application of water-hydraulic flexible manipulators in the field of underwater robotics, providing higher flexibility and adaptability compared to traditional rigid manipulators.
关键词 ：
Water hydraulic flexible gripper Water hydraulic flexible gripper Experimental verification Experimental verification Flexible actuator Flexible actuator Deformation characteristics Deformation characteristics Simulation analysis Simulation analysis
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| GB/T 7714 | Ji, Hui , Zhang, Le , Nie, Shuang et al. Optimization design and experiment study on a water hydraulic flexible actuator integrating flexible inner skeleton and soft external skin used for underwater flexible gripper [J]. | SENSORS AND ACTUATORS A-PHYSICAL , 2024 , 366 . |
| MLA | Ji, Hui et al. "Optimization design and experiment study on a water hydraulic flexible actuator integrating flexible inner skeleton and soft external skin used for underwater flexible gripper" . | SENSORS AND ACTUATORS A-PHYSICAL 366 (2024) . |
| APA | Ji, Hui , Zhang, Le , Nie, Shuang , Huo, Linfeng , Nie, Songlin , Wu, Ziwei . Optimization design and experiment study on a water hydraulic flexible actuator integrating flexible inner skeleton and soft external skin used for underwater flexible gripper . | SENSORS AND ACTUATORS A-PHYSICAL , 2024 , 366 . |
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摘要 ：
Tribological properties and wear mechanisms of S32750 stainless steel/carbon fiber-reinforced polyetheretherketone (CFRPEEK) tribopair in seawater under different salinities, sliding speeds and loads were experimentally studied. A novel Physics-Informed constraint strategy has been originally developed and combined with sparrow search algorithm (SSA) to optimize a Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model for predicting friction coefficient. The results indicate that an increase in seawater salinity and sliding speed enhances the tribological performance. Under high load, an increase in the PEEK transfer film leads to a slight decrease in friction coefficient. The Physics-Informed SSA (PISSA) offers enhanced performance through faster convergence, higher solution quality, and less computation time. Additionally, CNNLSTM model optimized by PISSA (PISSA-CNN-LSTM) provides more accurate predictions of friction coefficient.
关键词 ：
Physics-Informed Physics-Informed Seawater lubrication Seawater lubrication PISSA-CNN-LSTM PISSA-CNN-LSTM Friction coefficient prediction Friction coefficient prediction
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| GB/T 7714 | Yin, Fanglong , Luo, Hao , Nie, Songlin et al. Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM [J]. | TRIBOLOGY INTERNATIONAL , 2024 , 199 . |
| MLA | Yin, Fanglong et al. "Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM" . | TRIBOLOGY INTERNATIONAL 199 (2024) . |
| APA | Yin, Fanglong , Luo, Hao , Nie, Songlin , Ji, Hui , Ma, Zhonghai . Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM . | TRIBOLOGY INTERNATIONAL , 2024 , 199 . |
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摘要 ：
As a crucial traditional Chinese medicine practice in nursing rehabilitation, the professional gua sha can help to relieve the diseases with the theory of meridians and acupoints. Yet, the automation of gua sha faces several challenges such as insufficient sensor information, meridian quantification, and professional Chinese medicine knowledge. In this article, a gua sha trajectory planning is proposed based on multisensor integrated-gua sha robot system. The gua sha robot utilizes a smart gua sha device and information fusion method to quantify the true scraping processes. A scraping strategy is established by employing force information to correct trajectory and displacement restrictions to extract relevant trajectory. Based on distance likelihood, the gua sha robot develops a series of restrictions on the range, trajectory, quantity, and timing of scraping processes with different body types, and it is precisely controlled to replicate the gua sha force. The accuracy of the scraping trajectory obtained by stabilized numerical integration method based on information fusion and detrended fluctuation analysis (SNIF-DFA) and the effectiveness of the proposed strategy were verified through a series of tests. This article enhances the automatic and accurate reproduction of gua sha, which makes contributions to solving the imbalance of medical resource distribution and liberating professional doctors. The system can also serve as a reference for the development of intelligent service robots, such as massage robots, which must meet trajectory and force requirements.
关键词 ：
Robots Robots Medical services Medical services Trajectory Trajectory meridian quantification meridian quantification Force Force Gua sha Gua sha information fusion information fusion trajectory planning trajectory planning Robot kinematics Robot kinematics Robot sensing systems Robot sensing systems nursing rehabilitation nursing rehabilitation Medical treatment Medical treatment
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| GB/T 7714 | Ma, Zhonghai , Geng, Yugang , Nie, Songlin et al. Research on Chinese Scraping Automation Based on Sensor-Fusion Method [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (2) : 1751-1759 . |
| MLA | Ma, Zhonghai et al. "Research on Chinese Scraping Automation Based on Sensor-Fusion Method" . | IEEE SENSORS JOURNAL 24 . 2 (2024) : 1751-1759 . |
| APA | Ma, Zhonghai , Geng, Yugang , Nie, Songlin , Yin, Fanglong , Ji, Hui . Research on Chinese Scraping Automation Based on Sensor-Fusion Method . | IEEE SENSORS JOURNAL , 2024 , 24 (2) , 1751-1759 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
This study developed an innovative structure known as the Disturbed flow Self-excited oscillating cavitator (DF-SEOC) to enhance cavitation performance and improve wastewater treatment efficiency. The DF-SEOC holds a distinct advantage due to its internal disturbing flow ring structure, which effectively blocks the fluid and enhances its performance. This unique design promotes multiple collisions within the cavitator, thereby significantly increasing the cavitation area. To optimize the DF-SEOC's performance, investigations into vapor volume fraction and negative pressure under different structural parameters were conducted to determine the optimal configuration. To achieve this optimization, an integration method combining computational fluid dynamics, surrogate modeling, Non-dominated Sorted Genetic Algorithm-II with Elite Strategies, and gray theory was proposed to search for the Pareto frontier solution. This comprehensive approach enabled the identification of optimal parameters for the DF-SEOC. Furthermore, the proposed optimization scheme was validated through simulation analysis and Rhodamine B degradation experiments, with a comparison against existing cavitators. The simulation results demonstrated that the optimized values of vapor volume fraction and negative pressure for the DF-SEOC increased by 9.71% and 1.71%, respectively, compared to existing cavitators. Additionally, the degradation experiments revealed that the DF-SEOC exhibited a 61.42% higher degradation capacity than existing cavitators.
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| GB/T 7714 | Nie, Songlin , Qin, Tingting , Ji, Hui et al. Effect of disturbing flow ring on hydrodynamic cavitation characteristics of self-excited oscillating cavitation used for RB degradation [J]. | PHYSICS OF FLUIDS , 2024 , 36 (4) . |
| MLA | Nie, Songlin et al. "Effect of disturbing flow ring on hydrodynamic cavitation characteristics of self-excited oscillating cavitation used for RB degradation" . | PHYSICS OF FLUIDS 36 . 4 (2024) . |
| APA | Nie, Songlin , Qin, Tingting , Ji, Hui , Ma, Zhonghai , Yin, Fanglong . Effect of disturbing flow ring on hydrodynamic cavitation characteristics of self-excited oscillating cavitation used for RB degradation . | PHYSICS OF FLUIDS , 2024 , 36 (4) . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
The high reliability of seawater hydraulic components depends on the tribological properties of key tribopairs. It is impractical to conduct a high number of lifetime tests in a short amount of time due to the limitation of the cost and test time constraints in practical engineering applications, which has a significantly impact on the accuracy of reliability evaluation. To solve this, the Generative Adversarial Network (GAN) is provided as a few-shot learning (FSL) technique for expanding the tribopairs degradation data set, which has the potential to generate high-quality samples. Considering the uncertainty and diversity, an active learning approach is proposed to selecting the most effective generated samples. Finally, reliability is finally evaluated based on Wiener process model via using actual data combine with generated data selected from GAN model. Simulations and friction characteristics experiment of polyether ether ketone (PEEK)/174PH stainless steel are applied to validate the proposed method, the results show that the proposed method could generate and choose samples that are highly similar to the real samples, the accuracy of reliability evaluation is effectively improved.
关键词 ：
Few-shot learning (FSL) Few-shot learning (FSL) Reliability Reliability Generative Adversarial Network (GAN) Generative Adversarial Network (GAN) Active learning Active learning Seawater lubricated tribopairs Seawater lubricated tribopairs
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| GB/T 7714 | Ma, Zhonghai , Sun, Yiwen , Yin, Fanglong et al. Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network [J]. | ENGINEERING FAILURE ANALYSIS , 2024 , 165 . |
| MLA | Ma, Zhonghai et al. "Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network" . | ENGINEERING FAILURE ANALYSIS 165 (2024) . |
| APA | Ma, Zhonghai , Sun, Yiwen , Yin, Fanglong , Zhang, Qidong , Nie, Songlin , Ji, Hui . Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network . | ENGINEERING FAILURE ANALYSIS , 2024 , 165 . |
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摘要 ：
Combining multiple advanced oxidation processes (AOPs) is essential for the efficient treatment of dye wastewater. In this study, the degradation efficiencies of various oxidation methods, including hydrodynamic cavitation (HC), dielectric barrier discharge (DBD) plasma oxidation, ultraviolet C (UVC), and their combination HC + DBD + UVC, were investigated for Methyl Orange (MO). The photolysis of ozone (O-3) and the degradation mechanism associated with HC + DBD + UVC were analyzed to elucidate the pathway of MO degradation. The results demonstrated that the combination of HC + DBD + UVC exhibited a significantly enhanced degradation efficiency compared to other process combinations, achieving a removal efficiency exceeding 91% within a 5-min timeframe. Optimal parameters for achieving a 99.5% degradation rate of 10 mg/L MO were determined as follows: pH 4, inlet pressure of 1.5 MPa, utilization of eight UV lamps with a power input of 46.11 W. During the degradation process, hydroxyl radicals (OH) and ozone (O-3) played crucial roles, while the incorporation of UV lamps effectively mitigated ozone (O-3) emissions and enhanced the oxidation of ozone (O-3). In conjunction with the analysis of degradation products using liquid chromatography-mass spectrometry, it is highly probable that the MO degradation pathway involves reductive cleavage of the azo bond through OH attack. Compared to other experimental methods in literature, HC + DBD + UVC exhibits significant advantages such as enhanced efficiency and absence of additives. This innovative approach offers a rapid and practical on-site solution for efficient MO dye wastewater treatment.
关键词 ：
Ultraviolet C Ultraviolet C DBD plasma DBD plasma Methyl orange Methyl orange Degradation Degradation Hydrodynamic cavitation Hydrodynamic cavitation
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| GB/T 7714 | Song, Yuwei , Nie, Songlin , Ji, Hui et al. Degradation of methyl orange using hydrodynamic cavitation coupled with plasma oxidation and ultraviolet C [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 467 . |
| MLA | Song, Yuwei et al. "Degradation of methyl orange using hydrodynamic cavitation coupled with plasma oxidation and ultraviolet C" . | JOURNAL OF CLEANER PRODUCTION 467 (2024) . |
| APA | Song, Yuwei , Nie, Songlin , Ji, Hui , Qin, Tingting , Ma, Zhonghai . Degradation of methyl orange using hydrodynamic cavitation coupled with plasma oxidation and ultraviolet C . | JOURNAL OF CLEANER PRODUCTION , 2024 , 467 . |
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摘要 ：
To reduce the volumetric mixing rate of the integrated energy recovery-pressure boost device, a novel symmetrical duct structure with diversion surface was proposed. The surrogate model-based multi-objective optimization framework was established, and obtained the optimal ducts V1 and V2 combined with computational fluid dynamics simulation. Numerical results indicate that optimized duct structure could promote the formation of plug flow and effectively improve the collision efficiency between high-pressure brine and low-pressure seawater, and the volumetric mixing rate corresponding to the ducts V1 and V2 was reduced by 31.52% and 22.18%, and the duct volume efficiency was increased by 16.04% and 19.56%, respectively. Finally, the performance of optimized device was verified through seawater reverse osmosis desalination system under actual working conditions. Experimental results showed that the mixing rate of optimized ducts had a significant decrease of 30.86% and 20.53% in the applicable range, and the energy recovery efficiency improved at most 5.41% and 7.55%, respectively. The optimized ducts could significantly reduce the specific energy consumption of the desalination system by 26.01% and 18.22%, respectively, and the specific energy consumption reached the lowest level of 3.02 kWh/m3, demonstrating the superiority of the structure and the accuracy and effectiveness of the optimization strategy.
关键词 ：
Surrogate model Surrogate model Rotary energy recovery device Rotary energy recovery device Computational fluid dynamics Computational fluid dynamics Mixing rate Mixing rate Multi-objective optimization Multi-objective optimization
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| GB/T 7714 | Yin, Fanglong , Lu, Wang , Ji, Hui et al. Multi-objective optimization and energy efficiency improvement for rotor duct in integrated energy recovery-pressure boost device [J]. | ENERGY , 2024 , 300 . |
| MLA | Yin, Fanglong et al. "Multi-objective optimization and energy efficiency improvement for rotor duct in integrated energy recovery-pressure boost device" . | ENERGY 300 (2024) . |
| APA | Yin, Fanglong , Lu, Wang , Ji, Hui , Nie, Songlin , Ma, Zhonghai , Yan, Xiaopeng . Multi-objective optimization and energy efficiency improvement for rotor duct in integrated energy recovery-pressure boost device . | ENERGY , 2024 , 300 . |
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