Flow Measurement and Instrumentation最新文献_第7页

Experimental study on wind pressure control on low-rise building roofs using plasma actuation 等离子体驱动控制低层建筑屋面风压的实验研究

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-06 DOI: 10.1016/j.flowmeasinst.2025.103157

Li Jianan , Li Zhengnong , Cai Qiurui , Zou Zhengtao , Li Shujin

This paper proposes a novel method to control wind pressure on the partial roof of low-rise buildings using plasma actuators, aiming to improve the building's wind resistance. A wind tunnel experiment was conducted on a low-rise building model subjected to three different wind fields in the atmospheric boundary layer, as defined in the Load Code for the Design of Building Structures (GB50009-2012). The mean local wind-pressure coefficient at the measurement points served as the analysis parameter. The results show that negative pressures on the roof's front edge, under three levels of turbulence intensity, were significantly higher than those on other parts of the roof. Subsequently, tailwind and headwind plasma actuations were applied to the roof's front edge. The effects of these methods on wind pressure were analyzed, and a comparison was made of the wind pressure distribution before and after the actuation. The findings reveal that both plasma actuation methods can alter wind pressure on the roof under varying turbulence intensities. Specifically, tailwind plasma actuation reduces negative pressure on the front edge, with the reduction increasing as turbulence intensity rises. In contrast, headwind plasma actuation increases negative pressure, but the effect diminishes with increasing turbulence intensity.

本文提出了一种利用等离子体作动器控制低层建筑部分屋面风压的新方法，旨在提高建筑物的抗风能力。按照《建筑结构设计荷载规范》（GB50009-2012）的规定，对低层建筑模型进行了三种不同大气边界层风场的风洞试验。以测点的当地平均风压系数作为分析参数。结果表明，在三种湍流强度下，车顶前缘的负压明显高于车顶其他部位的负压。随后，顺风和逆风等离子体驱动应用于车顶前缘。分析了这些方法对风压的影响，并比较了驱动前后的风压分布。研究结果表明，在不同湍流强度下，两种等离子体驱动方法都可以改变屋顶上的风压。具体来说，顺风等离子体驱动减少了前缘的负压，随着湍流强度的增加，减少量也在增加。相反，逆风等离子体驱动会增加负压，但随湍流强度的增加而减弱。

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引用次数: 0

Data reduction methods in blade cascade experiment 叶栅实验中的数据约简方法

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-06 DOI: 10.1016/j.flowmeasinst.2025.103149

Terezie Kreuzová , David Šimurda , Erik Flídr , Pavel Šafařík , Martin Luxa

Data reduction methods typically used in turbomachinery linear blade cascades experiment are reviewed, analyzed, and tested from the point of view of conservativity and entropy production. The testing is performed on two types of data, channel flow data – used to allow study of simple flows without interaction of several flow phenomena – and blade cascades data. Among the datasets are those obtained experimentally but also numerically. The datasets are chosen to cover a wide range of operating regimes of blade cascades, compressor and turbine, subsonic and transonic. Results show that mean flow angles obtained by different reduction methods can differ by up to one degree. Entropy flux – directly connected to loss coefficients – is conserved only by Strictly conservative method. Momentum reduction method can increase it by tens of percent when applied to flows with large gradients, while Mass weighted averaging never increases the entropy flux, but can significantly decrease it.

从保守性和熵产生的角度对涡轮机械线性叶片叶栅实验中常用的数据约简方法进行了回顾、分析和测试。测试是在两种类型的数据上进行的，通道流动数据-用于研究没有几种流动现象相互作用的简单流动-和叶片叶栅数据。这些数据集既有实验数据，也有数值数据。选择的数据集涵盖了叶片级联、压气机和涡轮、亚音速和跨音速的广泛运行机制。结果表明，采用不同的压缩方法得到的平均气流角相差可达1度。与损失系数直接相关的熵通量仅通过严格保守方法守恒。动量约简法对梯度较大的流体可使熵通量增加数十个百分点，而质量加权平均法对熵通量没有增加作用，但能显著降低熵通量。

引用次数: 0

Prediction of solid-liquid two-phase flow velocity in horizontal pipelines via ensemble learning 基于集成学习的水平管道固液两相流速度预测

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-05 DOI: 10.1016/j.flowmeasinst.2025.103156

Lili Pang , Hanchuan Dong , Xiaotong Kong , Pan Zhang , Jianhua Feng , Lide Fang

Accurate estimation of the cross-sectional average velocity in liquid-solid two-phase flows is critical for understanding and managing multiphase transport processes. However, the complex behavior of suspensions, particularly when particle characteristics are unknown, makes accurate velocity estimation highly challenging. To overcome this limitation, this study presents a novel approach that integrates multi-frequency ultrasonic backscatter measurements with an ensemble learning framework. Unlike conventional Doppler techniques, the proposed method considers both particle-fluid interactions and varying hydraulic conditions, enabling accurate velocity prediction under partially filled regimes. A dimensionless ensemble learning model based on the Stokes number was developed, incorporating particle size, concentration, and flow parameters to improve the accuracy of cross-sectional mean liquid velocity estimation. Experimental validation and comparison with existing data verify that the proposed Gradient Boosting Tree model achieves a mean absolute percentage error below 5.21 %, with 98 % of predictions falling within a relative uncertainty of ±20 %. These results highlight that integrating multi-frequency ultrasonic backscatter technology with ensemble learning constitutes a novel and robust approach for the precise prediction of horizontal liquid-solid two-phase flow velocities.

准确估计液固两相流的横截面平均速度对于理解和管理多相输运过程至关重要。然而，悬浮液的复杂行为，特别是当颗粒特性未知时，使得准确的速度估计极具挑战性。为了克服这一限制，本研究提出了一种将多频超声后向散射测量与集成学习框架相结合的新方法。与传统的多普勒技术不同，该方法考虑了颗粒-流体相互作用和变化的水力条件，能够在部分填充状态下进行准确的速度预测。建立了一种基于Stokes数的无量纲集成学习模型，结合粒径、浓度和流量参数，提高了横截面平均液体速度估计的准确性。实验验证和与现有数据的比较验证了所提出的梯度增强树模型的平均绝对百分比误差低于5.21%，98%的预测在±20%的相对不确定性范围内。这些结果表明，将多频超声后向散射技术与集成学习相结合，为精确预测水平液固两相流速度提供了一种新颖而稳健的方法。

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引用次数: 0

Refinement of field-measured velocity profiles via CFD comparison: A case study on single-phase flow in aeration tanks 通过CFD比较改进现场测量速度剖面：以曝气池中单相流动为例

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-04 DOI: 10.1016/j.flowmeasinst.2025.103154

Damla Yilmaz Çelik , Babak Vaheddoost , Egemen Aras , Rahim Şibil

The accuracy of field measurements obtained from aeration tanks is of critically important for the validation of Computational Fluid Dynamics (CFD) models. In many cases, the employed validation metrics serve as a fundamental keystone for evaluating both the credibility of experimental data and the accuracy of numerical simulations. In this study, a novel data refinement approach is developed to assess the physical plausibility of velocity measurements collected from a full-scale aeration tank. Unlike conventional validation approaches, the CFD model is utilized as a reference framework within a reverse-approach perspective to evaluate the reliability of field data. Measurement points affected by acoustic noise, surface sludge interference, and turbulence near static structures were identified and excluded through curve-fitting and statistical filtering techniques. Velocity data obtained with the help of an Acoustic Doppler Current Profiler (ADCP) across six lateral and 53 vertical layers were evaluated using the Coefficient of Determination (R²), Relative Error (RE), and Performance Index (PI) metrics. The maximum-elimination combined with polynomial fitting notably enhanced the model accuracy, reducing RE from −123 % to 20 %, increasing R² from 0.054 to 0.96, and improving PI from 2.6 to 1.16. As a result, the refined dataset provided a more consistent and realistic representation of the flow structure and established a robust observational basis for the future calibration.

从曝气池获得的现场测量的准确性对计算流体动力学（CFD）模型的验证至关重要。在许多情况下，所采用的验证指标是评估实验数据可信度和数值模拟准确性的基本基石。在这项研究中，开发了一种新的数据细化方法来评估从全尺寸曝气池收集的速度测量的物理合理性。与传统的验证方法不同，CFD模型被用作反向方法视角下的参考框架，以评估现场数据的可靠性。通过曲线拟合和统计滤波技术，识别和排除受噪声、表面污泥干扰和静态结构附近湍流影响的测量点。利用声学多普勒电流剖面仪（ADCP）获得的6个水平层和53个垂直层的速度数据，使用决定系数（R2）、相对误差（RE）和性能指数（PI）指标进行评估。最大消除与多项式拟合的结合显著提高了模型精度，将RE从- 123%降低到20%，将R2从0.054提高到0.96，将PI从2.6提高到1.16。结果表明，精细化的数据集提供了更加一致和真实的流场结构表征，为今后的定标奠定了稳健的观测基础。

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引用次数: 0

Analysis of hydraulic characteristics of submerged gate discharge based on hybrid artificial intelligence models 基于混合人工智能模型的淹没闸门流量水力特性分析

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-04 DOI: 10.1016/j.flowmeasinst.2025.103155

Dingye Cao , Guodong Li , Shanshan Li

With the expansion of water conservancy projects and the complexity of water resources scheduling problems, calculating submerged flow has become increasingly critical and challenging, and improving its computational efficiency and accuracy has become a key problem. This study analyzes the hydraulic characteristics of sluice gate submerged flow based on a long-distance water transmission project. Random Forest (RF) and its optimization algorithm Firefly Algorithm-optimized Random Forest (FA-RF) were used to build an intelligent prediction model, with performance evaluated through index and uncertainty analysis. The Sobol sensitivity analysis method is used to quantify the hydraulic parameters affecting submerged flow, identifying core parameters influencing the submerged discharge coefficient C_d. The results show that for the submerged flow, the greater downstream water depth causes stronger upstream flow disturbance. In the testing phase, the indicators of the FA-RF model are better than RF, and the mean absolute percentage error (MAPE) and root mean square error (RMSE) are reduced by 20.9 % and 24.3 %, respectively, indicating that the firefly algorithm optimizes the performance of the RF algorithm. The upstream Froude number Fr and the ratio of downstream water depth to gate opening y₃/e were identified as core parameters affecting C_d. C_d increases with Fr and decreases with y₃/e.

随着水利工程规模的扩大和水资源调度问题的复杂化，淹没流量的计算变得越来越关键和具有挑战性，提高其计算效率和精度已成为关键问题。以某长距离输水工程为例，分析了水闸淹没水流的水力特性。采用随机森林（Random Forest， RF）及其优化算法萤火虫算法优化随机森林（Random Forest, FA-RF）构建智能预测模型，通过指标分析和不确定性分析对模型性能进行评价。采用Sobol敏感性分析方法对影响沉水流量的水力参数进行量化，识别影响沉水流量系数Cd的岩心参数。结果表明，对于沉水流量，下游水深越大，上游水流扰动越强。在测试阶段，FA-RF模型的各项指标均优于RF，平均绝对百分比误差（MAPE）和均方根误差（RMSE）分别降低了20.9%和24.3%，表明萤火虫算法优化了RF算法的性能。确定上游弗劳德数Fr和下游水深与闸门开度之比y3/e是影响Cd的核心参数，Cd随Fr增大，随y3/e减小。

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引用次数: 0

The dominant role of relative roughness in microscale flow transition: Redefining the critical Reynolds number for microflow measurement 相对粗糙度在微尺度流动转变中的主导作用：重新定义微流动测量的临界雷诺数

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-02 DOI: 10.1016/j.flowmeasinst.2025.103151

Li Cao , Shiyue Zhou , Hui Wang , Chunye Liu , Rong Wei , Wen'e Wang , Xiaotao Hu , Ning Zhang

This study aims to clarify the applicability of Nikuradze's classical findings under microscale conditions, with a specific focus on identifying the key factors governing the critical Reynolds number for flow transition. Experiments were conducted using deionized water as the working fluid in polytetrafluoroethylene (PTFE) and stainless steel (SS) circular tubes with diameters ranging from 500 to 3000 μm, employing an improved long/short-tube method. A quantitative relationship was established among the characteristic microchannel scale, relative roughness, and the critical Reynolds number for transition. The main findings are as follows: In the laminar flow regime of microtubes, the relationship between the friction factor and the Reynolds number still conforms to the classical Hagen-Poiseuille equation; The advancement of the transition point is not directly related to the tube diameter but is predominantly governed by the relative roughness, with a larger relative roughness leading to an earlier transition; The experimental friction factors in the turbulent regime for rough microtubes deviate significantly from the predictions of the classical Blasius equation. This research provides critical insights for the design and calibration of pressure-difference-based flowmeters in microscale systems.

本研究旨在阐明Nikuradze经典发现在微观条件下的适用性，并特别关注确定控制流动过渡临界雷诺数的关键因素。采用改进的长/短管法，以去离子水为工质，在直径为500 ~ 3000 μm的聚四氟乙烯（PTFE）和不锈钢（SS）圆管内进行了实验。建立了特征微通道尺度、相对粗糙度和临界转捩雷诺数之间的定量关系。主要研究结果如下：在微管层流状态下，摩擦系数与雷诺数的关系仍然符合经典的hagan - poiseuille方程；过渡点的提前与管径没有直接关系，而主要受相对粗糙度的影响，相对粗糙度越大，过渡越早；粗糙微管湍流状态下的实验摩擦因子与经典Blasius方程的预测有很大的偏差。本研究为微尺度系统中基于压力差的流量计的设计和校准提供了重要的见解。

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引用次数: 0

Experimental and numerical simulation of the gas-liquid micro-cyclone separator with slotted outflow pipe 开槽流出管气液微旋流分离器的实验与数值模拟

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-02 DOI: 10.1016/j.flowmeasinst.2025.103153

Junfeng Zhang , Xin Wang , Shenglei Zhang , Yang Lv

Gas-liquid cyclone separators are widely used in various industrial processes. To reduce energy loss in traditional cyclone separators and enable their application in chemical absorption-based CO₂ capture systems for recovering liquid droplets from flue gas, this paper proposes a slot-type outflow pipe cyclone separator. Building upon existing research on slotted outflow pipes, this study optimizes the slot configuration and investigates how different slot angles affect separator performance. An innovative control group was established to determine whether the presence of a through-hole at the bottom of the outflow pipe impacts the separator's applicability. The RSM model simulates the gas-phase flow field, while the DPM model, within the multiphase framework, tracks droplet particles. Results show that the slotted outflow pipe structure not only reduces static pressure appropriately but also optimizes pressure distribution and turbulence intensity, enhances flow field stability, and suppresses the short-circuit flow phenomenon. When the bottom of the outflow pipe is unsealed and the groove angle is 90°, cutting particle size and Critical particle size reach optimal values, with reduction rates of approximately 20 % and 23 %, respectively, compared to the Lapple-type. The pressure drop reduction is about 3.3 %. At a constant liquid concentration of 8.1 g m⁻³, the intake volume reaches 22.56 m³ h⁻¹, yielding a separation efficiency of 80 %. At an intake volume of 34.21 m³ h⁻¹, the separation efficiency increases to 89.35 %, with a lower pressure drop than for the other two outflow pipe configurations.

气液旋风分离器广泛应用于各种工业过程中。为了减少传统旋风分离器的能量损失，使其能够应用于基于化学吸收的CO2捕集系统中，以回收烟气中的液滴，本文提出了一种槽式流出管旋风分离器。本研究在已有开槽流出管研究的基础上，对开槽结构进行了优化，研究了不同开槽角度对分离器性能的影响。为了确定出水管底部存在通孔是否会影响分离器的适用性，建立了一个创新的对照组。RSM模型模拟气相流场，而DPM模型在多相框架内跟踪液滴颗粒。结果表明，开槽式流出管结构不仅能适当降低静压力，还能优化压力分布和湍流强度，提高流场稳定性，抑制短路流动现象。当出水管底部不密封，槽角为90°时，切削粒度和临界粒度达到最优值，与lapapple型相比，分别降低了约20%和23%。压降降低约3.3%。当液体浓度为8.1 g m−3时，进气体积达到22.56 m3 h−1，分离效率为80%。进气体积为34.21 m3 h−1时，分离效率提高到89.35%，且压降低于其他两种出水管构型。

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引用次数: 0

Research on machine vision-based ore material flow dynamic monitoring for vertical shaft impact crusher 基于机器视觉的立轴冲击破碎机矿石流动态监测研究

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-12-01 DOI: 10.1016/j.flowmeasinst.2025.103152

Yangyang Guo , Lingfeng Pei , Minjian Zhu , Xiangfan Wu , Zuzhi Tian

The current accuracy and reliability of the contact measurement methods for ore materials remain insufficient, which hinders the intelligent and precise development of mechanical sand. To address the limitation, this paper proposes a non-contact monitoring approach for ore material flow at the inlet conveyor belt of the vertical shaft impact crusher. Utilizing line-structured light vision technology, the preprocessing of laser stripe images is optimized through the application of Green channel grayscal and Median filtering to effectively suppress the interfering noise. Given the irregularity and discontinuity of material flow on the belt, the regional skeleton method is employed to enable efficient and precise centerline extraction, while the linear interpolation method is applied to complete the repair of the broken centerline. By integrating the Riemann integral and Laser triangulation, the dynamic calculation model for material flow is established. Experimental results obtained from limestone at conveyor belt speeds of 0.4 m/s, 0.8 m/s, and 1.2 m/s demonstrate the average flow measurement errors of 4.11 %, 5.42 %, and 6.74 %, respectively, which satisfy the real-time control accuracy requirements for mechanical sand. Simulation results of the crushing characteristics indicate that an increase in feed rate leads to reduction in sand production rate and corresponding rise in rotor power. These results offer effective guidance for the dynamic measurement of bulk materials and the regulation of the crusher.

目前矿石物料接触式测量方法的精度和可靠性仍然不足，阻碍了机械砂的智能化、精确化发展。针对这一局限性，本文提出了一种对立轴式冲击破碎机入口输送带处矿石物料流动的非接触式监测方法。利用线结构光视觉技术，对激光条纹图像的预处理进行优化，采用Green通道灰度和中值滤波，有效抑制干扰噪声。针对输送带上物料流动的不规律性和不连续性，采用区域骨架法实现高效、精确的中心线提取，采用线性插值法完成破碎中心线的修复。将黎曼积分与激光三角剖分相结合，建立了物料流的动态计算模型。实验结果表明，在输送带速度为0.4 m/s、0.8 m/s和1.2 m/s时，石灰石的平均流量测量误差分别为4.11%、5.42%和6.74%，满足机械砂实时控制精度要求。破碎特性的仿真结果表明，进给量的增加导致出砂率的降低，转子功率相应增加。这些结果对散装物料的动态测量和破碎机的调节具有有效的指导作用。

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引用次数: 0

On-line river surface velocity measurement using GCPs-free UAV 利用无gcps的无人机在线测量河面速度

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-11-29 DOI: 10.1016/j.flowmeasinst.2025.103150

Zhen Zhang, Jinli Feng, Boyuan Liu, Juncheng Bao

Accurate river surface velocity measurement is crucial for effective water resource management. Traditional image-based velocimetry using unmanned aerial vehicles (UAVs) for wide rivers (>100 m) is often constrained by a fundamental trade-off between cross-sectional coverage and image resolution. Standard approaches that increase flight altitude to capture the entire river width in a single frame result in a low Ground Sampling Distance (GSD), rendering the small-scale (centimeter-level) natural tracers, which are often the only ones available, undetectable. To address this critical limitation, this study presents a novel online measurement system that employs a multi-point, low-altitude hovering operational mode: 1)We integrated a gimbal-stabilized camera and Real-Time Kinematic (RTK) positioning module with an open-source flight controller, enabling real-time sensor positioning and orientation. The ground station synchronizes RTSP video streams and MAVLink telemetry via first-frame alignment. 2)A multi-point hovering operational mode, optimized through flight parameter constraints, ensures tracer visibility and maximizes cross-sectional coverage. 3)Motion compensation using RTK coordinates enhances spatiotemporal image feature detection accuracy under UAV drift. 4)To address weak textures in nadir-view imagery, we improved the frequency-domain Spatiotemporal Image Velocimetry (FFT-STIV) method by incorporating directional filters for texture enhancement and implementing velocity validity identification/correction. Field experiments during flood season on Nanjing's Qinhuai River (about 200 m width) validated thesystem. Results demonstrate a surface velocity measurement relative error below 8.56 %, with the overall velocity distribution aligning well with expected flow characteristics. This research confirms that the multi-point hovering approach is a necessary and effective solution for real-time, contactless velocity monitoring of wide rivers where high-altitude methods are inapplicable due to tracer visibility constraints, offering significant potential for flood emergency response.

准确的河面流速测量对有效的水资源管理至关重要。传统的基于图像的测速技术使用无人驾驶飞行器（uav）对宽河流（100米）进行测速，通常受到截面覆盖和图像分辨率之间的基本权衡的限制。标准的方法是增加飞行高度，在一个帧中捕捉整个河流的宽度，导致较低的地面采样距离（GSD），使小尺度（厘米级）的自然示踪剂（通常是唯一可用的示踪剂）无法检测到。为了解决这一关键限制，本研究提出了一种采用多点低空悬停操作模式的新型在线测量系统：1)我们将万向稳定相机和实时运动学（RTK）定位模块与开源飞行控制器集成在一起，实现实时传感器定位和方向。地面站通过第一帧对准同步RTSP视频流和MAVLink遥测。2)多点悬停操作模式，通过飞行参数约束优化，保证了示踪可见性，最大化了横截面覆盖。3)基于RTK坐标的运动补偿提高了无人机漂移下的图像时空特征检测精度。4)针对低视图像中的弱纹理，对频域时空图像测速（FFT-STIV）方法进行了改进，加入了方向滤波器进行纹理增强，并实现了速度有效性识别/校正。在南京秦淮河（约200米宽）汛期进行的现场试验验证了该系统的有效性。结果表明，表面速度测量相对误差在8.56%以下，总体速度分布与预期流动特性吻合较好。该研究证实，多点悬停方法是一种必要的、有效的解决方案，用于实时、非接触式的宽河流流速监测，由于示踪剂能见度的限制，高海拔方法不适用，为洪水应急响应提供了巨大的潜力。

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引用次数: 0

Multi-interface fusion speed pulsation model and behavior analysis for high-torque hydraulic motors 大转矩液压马达多界面融合速度脉动模型及行为分析

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation

Pub Date : 2025-11-27 DOI: 10.1016/j.flowmeasinst.2025.103148

Yu Fang , Haifeng Yang , Gongcheng Zhang , Jianxiong Wu , Yiman Duan , Xuguang Li , Junhui Zhang , Bing Xu , Chao Zhang

Speed pulsation of the hydraulic motor not only reflects its inherent characteristics but also significantly affects its output stability and operation safety. However, there is still a significant challenge to reveal the speed pulsation mechanism owing to the complex friction and leakage characteristics of multi-interfaces in the hydraulic motor, especially under low speeds. To address this issue, this study proposes an innovative multi-interface fusion speed pulsation model that comprehensively incorporates the friction and leakage losses for high-torque hydraulic motors. Firstly, a coupled rigid-fluid dynamics framework is established to determine the speed pulsation behavior. Within this framework, multiple methods are employed to describe the friction and leakage losses in different interfaces according to their lubrication characteristics. Furthermore, a dedicated speed pulsation test rig is developed to experimentally validate the proposed model. Finally, the influence of multi-interface friction and leakage on the speed pulsation behavior is quantitatively revealed, providing new insights into the intrinsic pulsation mechanism and offering valuable guidance for the design optimization of high-torque hydraulic motors.

液压马达的转速脉动不仅反映了液压马达的固有特性，而且对液压马达的输出稳定性和运行安全性有重要影响。然而，由于液压马达内部多界面复杂的摩擦和泄漏特性，特别是在低速下，揭示其速度脉动机理仍然是一个重大挑战。为了解决这一问题，本研究提出了一种创新的多界面融合速度脉动模型，该模型综合考虑了大扭矩液压马达的摩擦和泄漏损失。首先，建立了刚流体耦合动力学框架，确定了速度脉动特性；在此框架下，根据不同界面的润滑特性，采用多种方法来描述不同界面的摩擦和泄漏损失。此外，开发了专用的速度脉动试验台，对所提出的模型进行了实验验证。最后，定量揭示了多界面摩擦和泄漏对速度脉动行为的影响，为大扭矩液压马达的内在脉动机理提供了新的认识，为大扭矩液压马达的优化设计提供了有价值的指导。

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引用次数: 0