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学者姓名：聂松林
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Abstract ：
Pressure and flow ripples in integrated energy recovery-pressure boost devices (IERPBD) for seawater reverse osmosis (SWRO) systems induce detrimental vibrations, noise, and accelerated degradation of critical components (e.g., reverse osmosis membranes and valves). To address this challenge, this study proposes a comprehensive optimization framework combining numerical modeling, structural redesign, and experimental validation. A lumped parameter model of the axial piston booster pump (APBP) in IERPBD was developed, incorporating Monte Carlo-based flow area calculation and simulated annealing (SA) algorithm-driven optimization of port plate geometry. A novel 2 pressures/2 systems (2P2S) method was implemented to dynamically characterize flow ripples, achieving high measurement accuracy and validating the model's fidelity across rotational speeds. Besides, an optimized port plate was manufactured based on optimization results. Experimental results revealed a 14.8 % reduction in pressure ripple and 11.2 % reduction in flow ripple with the optimized port plate, demonstrating the efficacy of the SA algorithm in mitigating hydraulic pulsations. Furthermore, the study quantifies the diminishing optimization efficacy at higher rotational speeds, linking it to increased leakage dynamics and system resonance effects. This work establishes a validated methodology for improving SWRO systems reliability through flow ripple suppression, with direct implications for energy efficiency and component longevity.
Keyword ：
Flow ripple test Flow ripple test Energy recovery Energy recovery Simulated annealing algorithm Simulated annealing algorithm SWRO SWRO 2P/2S method 2P/2S method Lumped parameter method Lumped parameter method
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| GB/T 7714 | Yin, Fanglong , Luo, Hao , Nie, Songlin et al. Reducing flow ripple of integrated energy recovery-pressure boost device: optimization of port plate and experimental validation [J]. | DESALINATION , 2025 , 608 . |
| MLA | Yin, Fanglong et al. "Reducing flow ripple of integrated energy recovery-pressure boost device: optimization of port plate and experimental validation" . | DESALINATION 608 (2025) . |
| APA | Yin, Fanglong , Luo, Hao , Nie, Songlin , Ji, Hui , Ma, Zhonghai , Zhang, Yu et al. Reducing flow ripple of integrated energy recovery-pressure boost device: optimization of port plate and experimental validation . | DESALINATION , 2025 , 608 . |
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Abstract ：
The rapid development of flexible electronics technology has led to the popularity of wearable electronic devices and flexible electronic skins in various fields such as medicine, health monitoring, entertainment, military, and robotics. In this study, carbon black (CB) and multi-walled carbon nanotubes (MWCNT) were prepared through stirring and ultrasonication to fabricate a composite sensitive layer (CSL). A flexible encapsulation layer was then produced using FDM-3D printing with Thermoplastic Polyurethane-83A (TPU-83A) as the material. Meanwhile, a functional liquid alloy was created by mixing iron nano-powder and liquid alloys. Flexible electrodes were printed on the flexible encapsulation layer using an overlaying printing technique. Finally, all three components were thermally encapsulated to fabricate a flexible piezoresistive sensor (FPS). The microstructure of the CSL was investigated, along with its sensing mechanism. Importantly, comprehensive tests were conducted to assess its compressive mechanical properties, electrical characteristics, and sensing capabilities including detection range, sensing range, response time, dynamic response performance, and durability. The structural and sensing properties of the FPS were optimized and enhanced, enabling its successful utilization in human motion detection and contact detection of flexible actuators under various strains, thereby showcasing its excellent sensing characteristics. These findings ensure the promising applications of the FPS in the domains of human-robot interaction and soft robotics sensing.
Keyword ：
Impedance analysis Impedance analysis Wearable motion sensors Wearable motion sensors Composite sensitive layer Composite sensitive layer Flexible piezoresistive sensors Flexible piezoresistive sensors
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| GB/T 7714 | Ji, Hui , Huo, Linfeng , Nie, Songlin et al. Development and application of flexible piezoresistive sensors based on synergistic effect of CB and MWCNTs [J]. | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 382 . |
| MLA | Ji, Hui et al. "Development and application of flexible piezoresistive sensors based on synergistic effect of CB and MWCNTs" . | SENSORS AND ACTUATORS A-PHYSICAL 382 (2025) . |
| APA | Ji, Hui , Huo, Linfeng , Nie, Songlin , Hong, Ruidong , Gao, Pengwang , Zhang, Xufeng et al. Development and application of flexible piezoresistive sensors based on synergistic effect of CB and MWCNTs . | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 382 . |
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Abstract ：
The generation of a stable and reliable water jet fiber is essential for optimizing the performance of water-guided laser systems, as cavitation significantly impacts its stability. This study utilizes computational fluid dynamics to simulate various nozzle structures and analyze the effect of cavitation on water jet fiber stability. Numerical simulations were conducted to examine the behavior of downward conical nozzles both with and without cavitation effects. The research aims to explicate the mechanisms governing cavitation formation and its impact on jet stability. Additionally, this study investigates how nozzle structural parameters, including the length-to-diameter ratio, divergence angle, and orifice diameter, affect jet stability under cavitation conditions. A multi-objective genetic algorithm is subsequently employed to globally optimize the Kriging surrogate model, thereby facilitating the identification of Pareto-optimal solutions for enhancing the stability characteristics of the water jet fiber. High-speed camera visualization was utilized to systematically investigate the stability and fragmentation mechanisms of the water jet. Experiments conducted using a 532 nm green laser source confirmed that the optimized downward conical nozzle can produce a stable water jet fiber. Specifically, an optimized nozzle with a 0.08 mm aperture can generate a stable water jet fiber extending up to 84 mm in length under an inlet pressure of 5.0 MPa, thus meeting the requirements for efficient water-laser coupling. This study provides valuable insights and guidance for enhancing water-guided laser processing technology and its practical engineering applications.
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| GB/T 7714 | Nie, Songlin , Wu, Rui , Ji, Hui et al. Cavitation characteristics of water guided laser nozzle on water jet fiber stability [J]. | PHYSICS OF FLUIDS , 2025 , 37 (3) . |
| MLA | Nie, Songlin et al. "Cavitation characteristics of water guided laser nozzle on water jet fiber stability" . | PHYSICS OF FLUIDS 37 . 3 (2025) . |
| APA | Nie, Songlin , Wu, Rui , Ji, Hui , Lin, Luyan , Li, Jiakai . Cavitation characteristics of water guided laser nozzle on water jet fiber stability . | PHYSICS OF FLUIDS , 2025 , 37 (3) . |
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Abstract ：
The utilization of soft actuators in robotics is progressively expanding, particularly for intricate tasks like grasping and exploration in complex environments. However, conventional rigid actuators driven by motors often prove unsuitable for underwater applications due to their intricate structure. This paper introduces a novel underwater twisting water hydraulic artificial muscle (TWHAM) specifically designed for biomimetic flexible robotic fish, such as pectoral fins. A mathematical model for TWHAM is developed using Gaussian Process Regression (GPR), and the parameters are optimized through Harris Hawks Optimization (HHO). Experimental results demonstrate that TWHAM can achieve an impressive torsion angle of 49.5 degrees and generate a substantial torque of 0.848 N & sdot;m under a pressure of 1.0 MPa. The incorporation of bionic pectoral fins enables the robotic fish to achieve precise steering with a radius of 0.65 m at a speed of 0.32 m/s. These findings highlight the significant potential application of water hydraulics in areas such as environmental protection, water quality testing, and ocean exploration.
Keyword ：
Hydraulic artificial muscle Hydraulic artificial muscle Torsional actuator Torsional actuator Soft robotics Soft robotics Biomimetic robotic fish Biomimetic robotic fish
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| GB/T 7714 | Nie, Songlin , Gao, Pengwang , Huo, Linfeng et al. Water hydraulic actuator for bionic fish pectoral fin: Optimization and implementation [J]. | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 387 . |
| MLA | Nie, Songlin et al. "Water hydraulic actuator for bionic fish pectoral fin: Optimization and implementation" . | SENSORS AND ACTUATORS A-PHYSICAL 387 (2025) . |
| APA | Nie, Songlin , Gao, Pengwang , Huo, Linfeng , Ji, Hui , Hong, Ruidong , Ma, Zhonghai . Water hydraulic actuator for bionic fish pectoral fin: Optimization and implementation . | SENSORS AND ACTUATORS A-PHYSICAL , 2025 , 387 . |
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Abstract ：
The stability of the water jet flow used in water-guided laser processing plays a crucial role in determining the quality of the processing process. The present study aims to investigate the effect of water-laser coupling device and nozzle geometry on the stable length of a water-guided laser beam. A numerical model is developed to analyze the internal flow field within the coupling device. Computational fluid dynamics (CFD) simulations are employed to examine how variations in cone nozzle's length-to-diameter ratio, divergence angle, nozzle aperture, and inlet pressure that affect the flow characteristics of water jet. Subsequently, the Latin Hypercube experimental design method is employed to establish parameter samples and construct a Kriging approximation model for the stable length of water-guided laser beam. The Multiple Island Genetic Algorithm (MIGA) is utilized for global optimization of the approximation model, while CFD methods are employed to analyze and validate the optimization results. Finally, experimental verification was conducted to determine the stable length of water-guided laser beam generated by the optimized cone nozzle structure. The research findings demonstrate that the optimized nozzle structure can compensate for approximately 21 mm in the stable distance of water-guided laser beam under the pressure of 5.0 MPa. This study provides valuable guidance for enhancing the performance and engineering applications of laser micro-jet processing technology.
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| GB/T 7714 | Wu, Rui , Nie, Songlin , Ji, Hui et al. Effect of multi-parameter optimization of water-laser coupling device and nozzle geometry on the stability of water-guided laser beam [J]. | PHYSICS OF FLUIDS , 2024 , 36 (1) . |
| MLA | Wu, Rui et al. "Effect of multi-parameter optimization of water-laser coupling device and nozzle geometry on the stability of water-guided laser beam" . | PHYSICS OF FLUIDS 36 . 1 (2024) . |
| APA | Wu, Rui , Nie, Songlin , Ji, Hui , Wang, Yueqi , Lin, Luyan , Yin, Fanglong . Effect of multi-parameter optimization of water-laser coupling device and nozzle geometry on the stability of water-guided laser beam . | PHYSICS OF FLUIDS , 2024 , 36 (1) . |
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Abstract ：
This study proposes a multi-fidelity efficient global optimization framework for the structural optimization of self-excited oscillation cavity. To construct a high-precision multi-fidelity surrogate model to correlate the structural parameters of a self-excited oscillation cavity with the gas precipitation and energy consumption characteristics by effectively fuzing the information of different fidelity levels, choosing different correlation functions and hyper-parameter estimation methods, and learning the correlation between the data. The optimization framework determines various sampling methods and quantities by calculating the minimum Euclidean distance between sample points and sensitivity index. To enhance computational efficiency, a multi-fidelity sample library is established by utilizing both precise and coarse computational fluid dynamics grids. The expected improvement criterion-based algorithm for global optimization is employed as an additive strategy to incorporate additional data points into the model. This approach considers both local and global search of the model, thereby enhancing sample accuracy while reducing computation time. Moreover, the utilization of the highly generalized Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for identifying the Pareto optimal solution set enhances convergence speed. The proposed optimization framework in this study achieves a remarkable level of model accuracy and provides optimal solutions even with a limited sample size. It can be widely used in engineering optimization problems.
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| GB/T 7714 | Nie, Songlin , Li, Mingshuai , Nie, Shuang et al. Optimization framework for multi-fidelity surrogate model based on adaptive addition strategy-A case study of self-excited oscillation cavity [J]. | PHYSICS OF FLUIDS , 2024 , 36 (7) . |
| MLA | Nie, Songlin et al. "Optimization framework for multi-fidelity surrogate model based on adaptive addition strategy-A case study of self-excited oscillation cavity" . | PHYSICS OF FLUIDS 36 . 7 (2024) . |
| APA | Nie, Songlin , Li, Mingshuai , Nie, Shuang , Ji, Hui , Hong, Ruidong , Yin, Fanglong . Optimization framework for multi-fidelity surrogate model based on adaptive addition strategy-A case study of self-excited oscillation cavity . | PHYSICS OF FLUIDS , 2024 , 36 (7) . |
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Abstract ：
Seawater reverse osmosis (SWRO) technology has been universally adopted because of its high efficiency, economic benefits, easy maintenance, and high-pressure seawater pump (HPSP) and energy recovery device (ERD) are essential components, which determine the specific energy consumption of SWRO system. However, it is still unclear about energy dissipation mechanism and mixing characteristics from the perspective of system. For that, this thesis proposes a novel system-level Computational Fluid Dynamics (CFD) model considering all interfaces in HPSP and integrated energy recovery and pressure boost device (IERPBD). To profoundly investigate the system performance under various operating conditions, the pressure and composition distribution, power loss of each interface and mixing rate are numerically calculated and analyzed. Additionally, experiment of the effect of temperature on SWRO system performance is conducted to practically verify the proposed model, which indicates that the presented model could precisely reflect the energy dissipation and mixing characteristics. Besides, it is advised that the rotating speed of HPSP and IERPBD should not be set too high which could increase the mixing rate and energy consumption, and higher temperature might lower the quality of produced freshwater. This study offers a feasible way to reveal the energy dissipation mechanism of SWRO desalination system.
Keyword ：
Power loss Power loss SWRO system SWRO system Energy dissipation mechanism Energy dissipation mechanism Mixing characteristics Mixing characteristics System-level CFD model System-level CFD model
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| GB/T 7714 | Yin, Fanglong , Zhang, Yu , Nie, Songlin et al. A system-level CFD simulation model for investigating the energy dissipation mechanism of seawater pump and rotary energy recovery device in SWRO desalination system [J]. | DESALINATION , 2024 , 587 . |
| MLA | Yin, Fanglong et al. "A system-level CFD simulation model for investigating the energy dissipation mechanism of seawater pump and rotary energy recovery device in SWRO desalination system" . | DESALINATION 587 (2024) . |
| APA | Yin, Fanglong , Zhang, Yu , Nie, Songlin , Ji, Hui , Ma, Zhonghai . A system-level CFD simulation model for investigating the energy dissipation mechanism of seawater pump and rotary energy recovery device in SWRO desalination system . | DESALINATION , 2024 , 587 . |
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Abstract ：
In this study, a series dual-chamber self-excited oscillation nozzle (SDSON) for atomization was developed for photodecomposition of oily wastewater. In order to address the computational complexity associated with optimizing this nozzle, a surrogate model that integrates computational fluid dynamics simulation is proposed. By employing a multi-objective optimization algorithm that combines Genetic Algorithm and Non-dominated Sorting Genetic Algorithm II, significant improvements in atomization performance have been achieved. The influencing factors of atomization and their interactions on the nozzle's atomization performance have been analyzed. The entropy weight method was employed in conjunction with gray theory to rank the optimal solutions based on weighted correlation evaluation, resulting in the determination of the most favorable design solutions. The optimized design exhibited significant enhancements in turbulence kinetic energy and gas volume fraction at the nozzle outlet. Atomization experiments confirmed that the optimized SDSON generated smaller and more uniformly sized droplets under identical inlet pressure conditions, thereby greatly improving atomization performance.
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| GB/T 7714 | Nie, Songlin , Song, Yuwei , Ji, Hui et al. Atomization performance optimization of series dual-chamber self-excited oscillation nozzle using the entropy weight method combined with gray theory [J]. | PHYSICS OF FLUIDS , 2024 , 36 (9) . |
| MLA | Nie, Songlin et al. "Atomization performance optimization of series dual-chamber self-excited oscillation nozzle using the entropy weight method combined with gray theory" . | PHYSICS OF FLUIDS 36 . 9 (2024) . |
| APA | Nie, Songlin , Song, Yuwei , Ji, Hui , Qin, Tingting , Yin, Fanglong , Ma, Zhonghai . Atomization performance optimization of series dual-chamber self-excited oscillation nozzle using the entropy weight method combined with gray theory . | PHYSICS OF FLUIDS , 2024 , 36 (9) . |
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Abstract ：
The emergence of bionic soft robots has led to an increased demand for bionic soft actuating ends. In this study, a three-dimensional spiral water hydraulic soft actuator (3D-SWHSA), inspired by the winding action of an elephant's trunk, is proposed to provide a more targeted soft actuator catching method. The 3D-SWHSA is composed of multiple bending and twisting units (BATUs), which can produce winding deformation after being pressed. By using the principles of virtual work and integrating the Yeoh 3rd order model, a predictive model for winding was established to investigate the bending and twisting characteristics of BATUs with varying structural parameters through finite element simulation. Following the selection of an optimal set of structural parameters for the 3D-SWHSA, its bending and deformation capabilities were simulated using finite element analysis and subsequently validated experimentally. To validate its flexibility, adaptability, and biocompatibility, successful catching experiments were conducted in both air and underwater environments. Underwater organisms, including organisms with soft appearance such as starfish and sea cucumbers, and organisms with hard shell, such as sea snails and crabs, can also be caught harmlessly. In cases where a single 3D-SWHSA is insufficient for capturing objects with unstable centers of gravity or when the capture range is exceeded, the double 3D-SWHSAs can be utilized for cooperative winding. This study affirms the great potential of 3D-SWHSA in diverse marine applications, including but not limited to marine exploration, fishing, and operations.
Keyword ：
bioinspiration bioinspiration deformation characteristics deformation characteristics underwater manipulator underwater manipulator spiral soft actuator spiral soft actuator water hydraulics water hydraulics
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| GB/T 7714 | Nie, Songlin , Huo, Linfeng , Ji, Hui et al. Deformation Characteristics of Three-Dimensional Spiral Soft Actuator Driven by Water Hydraulics for Underwater Manipulator [J]. | SOFT ROBOTICS , 2023 , 11 (3) : 410-422 . |
| MLA | Nie, Songlin et al. "Deformation Characteristics of Three-Dimensional Spiral Soft Actuator Driven by Water Hydraulics for Underwater Manipulator" . | SOFT ROBOTICS 11 . 3 (2023) : 410-422 . |
| APA | Nie, Songlin , Huo, Linfeng , Ji, Hui , Nie, Shuang , Gao, Pengwang , Li, Hanyu . Deformation Characteristics of Three-Dimensional Spiral Soft Actuator Driven by Water Hydraulics for Underwater Manipulator . | SOFT ROBOTICS , 2023 , 11 (3) , 410-422 . |
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Abstract ：
Machine learning (ML) methods are becoming popular in prognostics and health management (PHM) of engi-neering systems due to the recent advances of sensor technology and the prevalent use of artificial neural net-works. In practice, mechatronic systems are by nature, prone to degradation/failure due to complex failure mechanisms and other unknown causes. As a result, degradation modeling and prediction of mechatronic sys-tems are quite challenging especially when highly integrative and special operational conditions are considered. To overcome such challenges, artificial neural networks can be employed. This paper proposes the use of a long short-term memory (LSTM)-based multi-input neural network for degradation modeling and prediction of an Electro-Hydrostatic Actuator (EHA) system. The failure mechanisms of the EHA system are explored first, and the obtained physics-of-failure information is utilized in constructing the LSTM neural network to enhance the prediction capability of the model. An actual dataset collected from an EHA test bench is utilized to illustrate the effectiveness of the proposed physics-informed LSTM method for modeling the EHA system's degradation behavior. The result shows that the proposed method provides more accurate life prediction than several benchmark methods for the EHA system.
Keyword ：
Degradation assessment Degradation assessment Feature extraction Feature extraction Long short-term memory Long short-term memory Machine learning Machine learning Electro-hydrostatic actuator Electro-hydrostatic actuator
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| GB/T 7714 | Ma, Zhonghai , Liao, Haitao , Gao, Jianhang et al. Physics-Informed Machine Learning for Degradation Modeling of an Electro-Hydrostatic Actuator System [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2023 , 229 . |
| MLA | Ma, Zhonghai et al. "Physics-Informed Machine Learning for Degradation Modeling of an Electro-Hydrostatic Actuator System" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 229 (2023) . |
| APA | Ma, Zhonghai , Liao, Haitao , Gao, Jianhang , Nie, Songlin , Geng, Yugang . Physics-Informed Machine Learning for Degradation Modeling of an Electro-Hydrostatic Actuator System . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2023 , 229 . |
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