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An electro-hydraulic water proportional directional valve with coaxially dual-drive servo mechanism and its control performance 一种同轴双驱动伺服机构电液水比例换向阀及其控制性能
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-15 DOI: 10.1016/j.flowmeasinst.2025.103130
Guangyao Wei, Yaoyao Liao, Changwang Yang
The switch valve commonly used on the mining hydraulic powered roof support (HPRS) has disadvantages of large pressure shock and discontinuous flow rate, making it difficult to achieve accurate control of the position and posture of HPRS. This not only affects the production efficiency of mining equipment but also poses potential risks to the safety production in coal mining engineering. To address these issues, this study develops a highly compact 3/2 water proportional directional valve (PDV) equipped with improved dual-drive servo mechanism. The mathematical model of the PDV is established, followed by analysis and optimization of key parameters affecting its dynamic response characteristics using Design of Experiments (DOE) and Sobol methods. In the step response process, the opening delay time, opening time and closing time are 4 ms, 9 ms and 31 ms respectively. The above indicators are 0.04s, 0.961s, and 1.02s in the ramp response process. A pressure-displacement correlative experimental method is proposed to indirectly reflect the displacement of the main inlet spool. Simulation and experimental results demonstrate that the newly developed PDV exhibits excellent dynamic response characteristics, enabling continuous, stable, low impact, and high-precision open-loop control of the main inlet spool. Experiment with load characteristics proves that proportional control mode effectively mitigates pressure shock generated by the main valve during both opening and closing processes. An important conclusion about the new dual-drive mechanism is found that insufficient pilot spring stiffness could result in the leakage of the pilot valve port, which significantly decrease the dynamic performance of the PDV.
矿用液压支架(HPRS)上常用的开关阀存在压力冲击大、流量不连续等缺点,难以实现对矿用液压支架位置和姿态的精确控制。这不仅影响了矿山设备的生产效率,而且给煤矿工程的安全生产带来了潜在的风险。为了解决这些问题,本研究开发了一种高度紧凑的3/2水比例换向阀(PDV),配备了改进的双驱动伺服机构。建立了PDV的数学模型,运用实验设计(Design of Experiments, DOE)和Sobol方法对影响其动态响应特性的关键参数进行了分析和优化。在阶跃响应过程中,开启延迟时间为4 ms,开启时间为9 ms,关闭时间为31 ms。上述指标在斜坡响应过程中分别为0.04s、0.961s和1.02s。提出了一种压力-位移相关实验方法来间接反映主进口阀芯的位移。仿真和实验结果表明,新开发的PDV具有良好的动态响应特性,可以实现主入口阀芯的连续、稳定、低冲击和高精度开环控制。负载特性实验证明,比例控制方式能有效缓解主阀开启和关闭过程中产生的压力冲击。对于新型双驱动机构,一个重要的结论是先导弹簧刚度不足会导致先导阀口泄漏,从而显著降低PDV的动态性能。
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引用次数: 0
Research on aerodynamic noise analysis and noise reduction method of gas regulator 气体调节器气动噪声分析及降噪方法研究
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-14 DOI: 10.1016/j.flowmeasinst.2025.103128
Chuanjun Han , Guo Yuan , Qian Xu , Lingxia Ding , Qianlu Li , Mingjun Du
To address the high noise levels observed in gas regulators installed in the manifolds of certain skid-mounted gas supply units, this study investigates a gas regulator with a diameter of 150 mm. A sound field analysis model is developed using the acoustic-fluid-solid coupling method, and its accuracy is validated through on-site sound pressure measurements. The mechanisms of noise generation induced by the regulator's internal flow field are further analyzed, and the effects of varying flow conditions on noise characteristics are systematically examined. Based on the identified noise generation mechanisms, two noise mitigation strategies are proposed, and the associated structural designs are optimized.The results indicate that the deviation between the simulated and measured sound pressure levels is less than 5 %, confirming the reliability of the numerical model. The noise level of the gas regulator increases progressively with flow rate. Installation of a noise-reduction orifice plate downstream of the gas regulator results in a 6.29 % reduction in sound pressure level. Optimization of the valve core and seat structure leads to a significant reduction in noise. The optimal noise reduction is achieved when the taper angle of the valve core and seat is set to 60°, resulting in a 6.7 % decrease in sound pressure level.
为了解决安装在某些橇装气体供应装置歧管中的气体调节器存在的高噪音问题,本研究研究了一种直径为150毫米的气体调节器。采用声-流-固耦合方法建立了声场分析模型,并通过现场声压测量验证了模型的准确性。进一步分析了调节阀内部流场产生噪声的机理,系统考察了不同流动条件对噪声特性的影响。在确定噪声产生机理的基础上,提出了两种降噪策略,并对结构设计进行了优化。结果表明,模拟声压级与实测声压级的偏差小于5%,验证了数值模型的可靠性。气体调节器的噪声水平随着流量的增大而逐渐增大。在气体调节器的下游安装降噪孔板,可使声压级降低6.29%。阀芯和阀座结构的优化使噪音显著降低。当阀芯与阀座的锥度角设置为60°时,降噪效果最佳,声压级降低6.7%。
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引用次数: 0
Energy dissipation due to flow over arced labyrinth weir with semicircular openings 带半圆开口的弧形迷宫堰流动的能量耗散
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-14 DOI: 10.1016/j.flowmeasinst.2025.103125
Asmaa M. Ahmed, Azza N. Altalib
Labyrinth weirs are crucial hydraulic structures designed to optimize water discharge by effectively extending the crest length within constrained widths, significantly improving hydraulic performance. This study experimentally examines energy dissipation characteristics in arced labyrinth weirs featuring semicircular openings, exploring the influence of geometric configurations such as cycle numbers (N), cycle angles (θ), and the ratio of opening diameter to weir edge length (d/Lc). A total of 42 physical models, including arced labyrinth weirs, linear labyrinth weirs with and without openings, and conventional arced weirs, were tested under varying hydraulic conditions in an 18 m long, rectangular experimental channel. The findings demonstrate that reducing the number of cycles markedly enhances energy dissipation, achieving improvements of up to 21 %. Additionally, linear labyrinth configurations outperformed arced counterparts in terms of energy dissipation, with efficiency gains reaching approximately 16 %. The analysis revealed that smaller opening diameters increase energy dissipation rates up to 20 % enhancement compared to larger openings. using dimensional analysis and regression methods an empirical equation was developed, accurately predicting energy dissipation with a coefficient of determination (R2) of 0.836 and a prediction error below 7 %. The study presents an optimized labyrinth weir design that balances hydraulic efficiency and economic considerations. These contributions facilitate the implementation of cost-effective and hydraulically efficient weir configurations suitable for various water resource engineering applications.
迷宫堰是一种重要的水工构筑物,通过在约束宽度内有效地延长波峰长度来优化排水量,显著提高水力性能。本文通过实验研究了半圆形开口的弧形迷宫堰的能量耗散特性,探讨了循环数(N)、循环角(θ)和开口直径与堰边长度之比(d/Lc)等几何构型对其能量耗散特性的影响。在一个18 m长的矩形实验通道中,对42个物理模型进行了不同水力条件下的测试,包括弧形迷宫堰、带开口和不带开口的线性迷宫堰和常规弧形迷宫堰。研究结果表明,减少循环次数显著提高了能量耗散,达到21%的改进。此外,线性迷宫结构在能量耗散方面优于弧形迷宫结构,效率提高约16%。分析表明,与大开口相比,较小的开口直径可使能量耗散率提高20%。利用量纲分析和回归分析方法,建立了能准确预测能量耗散的经验方程,决定系数(R2)为0.836,预测误差小于7%。该研究提出了一种优化的迷宫堰设计,平衡了水力效率和经济考虑。这些贡献促进了适用于各种水资源工程应用的具有成本效益和水力效率的堰配置的实施。
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引用次数: 0
Estimating talc and cellulose porosity under mechanical dewatering using electrical resistance tomography technique 用电阻层析技术估计机械脱水条件下滑石粉和纤维素的孔隙率
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-13 DOI: 10.1016/j.flowmeasinst.2025.103124
Fatma Ouled Saad , Jamel Madiouli , Daoued Mihoubi , Ihab Shigidi , Jalila Sghaier
Porosity of talc and cellulose filter cake during mechanical dewatering was investigated using a non-invasive technique namely electrical resistance tomography (ERT). Appling the ERT in mechanical dewatering is state-of-the-art technique with promising outcomes. This work showed the potential of this technique in characterizing the structure of filter cakes. An inverse problem was solved to reconstruct the distribution of electrical conductivity in the filter cake. If the electrical current is carried by the interstitial solution, filling the pores, the image obtained is thus considered as a representation of the porous structure of the tested material. It was found that, at constant pressure, the porosity of cellulose and talc filter cakes decreases over time. The spatial porosity distribution at the end of compression was calculated. At 4 mm of the filter media, the porosity values estimated by the ERT technique were compared to those calculated experimentally at the end of the compression phenomenon.
采用非侵入性电阻断层扫描技术(ERT)研究了滑石粉和纤维素滤饼在机械脱水过程中的孔隙率。将ERT应用于机械脱水是一项新兴的技术,具有广阔的应用前景。这项工作显示了该技术在表征滤饼结构方面的潜力。求解了滤饼中电导率分布的逆问题。如果电流由间隙溶液携带,填充孔隙,则获得的图像被认为是被测材料的多孔结构的表示。研究发现,在恒压条件下,纤维素和滑石粉滤饼的孔隙率随时间的推移而降低。计算了压缩结束时孔隙率的空间分布。在过滤介质的4mm处,将ERT技术估计的孔隙率值与压缩现象结束时的实验计算值进行比较。
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引用次数: 0
An inductive debris sensor based on quasi closed magnetic circuit for condition monitoring of lubrication system 一种用于润滑系统状态监测的准闭合磁路电感式碎屑传感器
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-13 DOI: 10.1016/j.flowmeasinst.2025.103104
Zhiwei Xu , Shuyao Zhang , Hongpeng Zhang , Wei Li
—A great deal of information about equipment operation is available on the characteristics of the abrasive particles in the lubricant, and their detection can effectively predict equipment abnormalities and failures. This paper investigates the sensitivity enhancement of oil abrasive particle detection sensor with radial arrangement of magnetic field. Using a microfluidic chip as a carrier, the magnetic flux density is made larger at the detection area by embedding silicon steel to the coil of the detection unit, and a annular quasi-closed silicon steel sheet structure is designed. After embedding the coil, the leakage loss at the detection position is reduced and the magnetic induction lines are more aggregated, which breaks through the magnetization increase limitation of the material itself permeability and makes the sensor more sensitive. Through simulation and experimental research, we found that after the detection coil was embedded in annular silicon steel, the SNR is improved by 5 times for 70–80 μm iron particles and 4 times for 140–150 μm copper particles, and the differentiated detection of 25 μm iron particles and 80 μm copper particles can be achieved. This study can provide basic support to enhance the intelligence level of high-end equipment.
-润滑剂中磨料颗粒的特性可以提供大量关于设备运行的信息,对它们的检测可以有效地预测设备的异常和故障。本文研究了径向磁场布置对油磨粒检测传感器灵敏度的增强作用。以微流控芯片为载体,通过在检测单元线圈中嵌入硅钢片,使检测区域的磁通密度增大,设计了环形准封闭硅钢片结构。嵌入线圈后,检测位置的漏损降低,磁感应线更加聚集,突破了材料本身磁导率的增磁限制,使传感器更加灵敏。通过仿真和实验研究发现,将检测线圈嵌入环形硅钢后,对于70 ~ 80 μm的铁颗粒信噪比提高了5倍,对于140 ~ 150 μm的铜颗粒信噪比提高了4倍,并且可以实现25 μm铁颗粒和80 μm铜颗粒的差异化检测。本研究可为提升高端装备智能化水平提供基础支撑。
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引用次数: 0
Research on infrasound signal recognition of small leakage of urban pipeline based on improved HMM 基于改进HMM的城市管道小泄漏次声信号识别研究
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-12 DOI: 10.1016/j.flowmeasinst.2025.103122
Wenshuo Li , Yongmei Hao , Fei Li , Jun Shen , Zhixiang Xing , Anning Wang
To address the issues of frequent misclassification and low recognition rates for initial small leakage signals in medium- and low-pressure urban pipelines, this paper proposes a pipeline leakage signal recognition method based on improved HMM analysis. A deterministic adaptive particle swarm optimization (APSO) algorithm is selected to optimize the initial observation probability matrix values of the HMM model, globally searching for the optimal observation probability matrix parameter B value of the HMM to construct a high-precision pipeline leakage prediction model. Subsequently, the Baum-Welch algorithm is employed to re-estimate parameters for the optimized HMM. Finally, the Viterbi algorithm calculates the log-likelihood probability of the observation vector under different leakage models, with the highest probability indicating the corresponding fault state. Compared with the Coupled Hidden Markov Model (CHMM) and Hierarchical Hidden Markov Model (HHMM), results demonstrate that this method achieves the highest average accuracy and recall rates, at 90.68 % and 91.27 % respectively. Compared to CHMM and HHMM. The average improvements in accuracy and recall were 8.58 % and 10.38 %, respectively. This demonstrates that APSO-HMM effectively captures the changing patterns of sensitive features during pipeline leakage, thereby significantly enhancing leakage detection accuracy and showcasing the superior performance of the proposed method.
针对城市中低压管道初始小泄漏信号分类错误频繁、识别率低的问题,提出了一种基于改进HMM分析的管道泄漏信号识别方法。采用确定性自适应粒子群优化(APSO)算法对HMM模型的初始观测概率矩阵值进行优化,全局搜索HMM的最优观测概率矩阵参数B值,构建高精度管道泄漏预测模型。然后,采用Baum-Welch算法对优化后的HMM进行参数重估计。最后,通过Viterbi算法计算不同泄漏模型下观测向量的对数似然概率,概率最高的表示相应的故障状态。与耦合隐马尔可夫模型(CHMM)和层次隐马尔可夫模型(HHMM)相比,该方法的平均准确率和召回率最高,分别为90.68%和91.27%。与CHMM和HHMM相比。准确率和查全率的平均提高分别为8.58%和10.38%。这表明,APSO-HMM有效地捕获了管道泄漏过程中敏感特征的变化模式,从而显著提高了泄漏检测精度,显示了该方法的优越性能。
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引用次数: 0
Investigation of flow field characteristics in triple-reflection ultrasonic anemometers based on numerical simulation and PIV experiments 基于数值模拟和PIV实验的三反射超声风速计流场特性研究
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-11 DOI: 10.1016/j.flowmeasinst.2025.103121
Hangbo Li , Menghao Lin , Yang Liu , Yang Ding , Weiyi Chen , Tianle Wang , Jinda Lu , Xuezhi Li
To address the issue of flow field interference in single-reflection ultrasonic anemometers under complex wind conditions, this study proposes a triple-reflection ultrasonic anemometry approach. A new anemometer model was developed by optimizing the transducer layout and support pillar arrangement. Numerical simulations and Particle Image Velocimetry (PIV) experiments were conducted to analyze key flow characteristics, including the velocity field, vorticity field, and turbulent kinetic energy. The results reveal distinct flow field features and superior measurement accuracy of the triple-reflection model. Compared to the single-reflection design, the proposed model exhibits significantly improved flow behavior across various wind speeds and directions. Within the transducer measurement section, streamlines are smoother, the extent of large-scale turbulent structures is reduced, and velocity vector consistency is enhanced in the main flow region. Furthermore, the strength and scale of wall-attached reverse vortices near the transducers are markedly diminished. The recirculation zone caused by flow separation is substantially smaller, and the vortex breakdown process shifts from large-scale intermittent separation to small-scale dissipation. In comparison, under complex wind conditions, the triple-reflection anemometer model exhibits improved consistency in ultrasonic measurement path velocity distribution. It achieves significant enhancement in measurement accuracy, with wind speed relative errors below 5 % and wind direction relative errors within ±6 %.
为解决复杂风况下单反射超声风速仪的流场干扰问题,提出了一种三反射超声风速测量方法。通过优化传感器布局和支撑柱布置,建立了一种新的风速计模型。通过数值模拟和粒子图像测速(PIV)实验,分析了流速场、涡度场和湍流动能等关键流动特性。结果表明,三反射模型具有明显的流场特征和较高的测量精度。与单反射设计相比,该模型在不同风速和风向下的流动性能显著改善。在换能器测量截面内,流线更加平滑,大尺度湍流结构的程度减小,主流区域的速度矢量一致性增强。此外,在换能器附近,附壁逆涡的强度和规模明显减小。流动分离引起的再循环区大大缩小,涡击穿过程由大尺度间歇分离转向小尺度耗散。相比之下,在复杂风况下,三反射风速仪模型在超声测量路径速度分布上具有更好的一致性。测量精度显著提高,风速相对误差在5%以下,风向相对误差在±6%以内。
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引用次数: 0
Performance optimization of external gear flowmeters via passive rotation simulation (PRS) and experimental validation 基于被动旋转仿真和实验验证的外齿轮流量计性能优化
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-11 DOI: 10.1016/j.flowmeasinst.2025.103126
Lintao Wang, Yili Yang, Xinkai Ding, Xiyuan Fan, Xin Liu
External gear flowmeters (EGF) are high-precision positive displacement flow measurement devices with critical applications in precision flow control applications. However, existing simulation studies commonly employ active rotation modes with preset constant rotational speeds, which fail to accurately capture the true operational characteristics under fluid-driven conditions. This paper proposes a novel passive rotation simulation (PRS) method for gear flowmeters based on a degree of freedom (DOF) model, which accurately calculates gear rotational speed and pressure differential by solving gear motion equations driven by hydrodynamic torque, thereby achieving realistic simulation of EGF operation. Experimental validation demonstrates that the maximum relative errors between simulated and measured values for the meter coefficient and inlet-outlet pressure differential are 1.33 % and 4.82 %, respectively, confirming the method's accuracy. Based on the established simulation model, the influence mechanism of gear backlash on flowmeter performance was systematically investigated, revealing that micro-leakage flow produces pressure buffering effects, reducing pressure pulsation rates from 26.47 % to 7.11 %. Further investigation of relief groove structures demonstrates that small-spacing symmetric rectangular relief grooves can reduce pressure pulsation rates to 3.69 %, maintaining maximum measurement error within 0.28 % across 1–40 MPa pressure and 1–15 L/min flow ranges. This study reveals the key mechanism that measurement accuracy depends primarily on internal leakage consistency rather than its absolute magnitude, providing a theoretical foundation for high-precision gear flowmeter design optimization.
外齿轮流量计(EGF)是高精度正位移流量测量装置,在精密流量控制应用中具有重要应用。然而,现有的仿真研究通常采用预设恒定转速的主动旋转模式,无法准确捕捉流体驱动条件下的真实工作特性。提出了一种基于自由度模型的齿轮流量计被动旋转仿真方法,通过求解由流体动力扭矩驱动的齿轮运动方程,精确计算出齿轮转速和压差,从而实现对EGF运行的真实仿真。实验验证表明,流量计系数和进出口压差的模拟值与实测值最大相对误差分别为1.33%和4.82%,证实了该方法的准确性。基于所建立的仿真模型,系统研究了齿轮间隙对流量计性能的影响机理,发现微泄漏流具有压力缓冲作用,将压力脉动率从26.47%降低到7.11%。进一步研究表明,小间距对称矩形卸压槽结构可将压力脉动率降低至3.69%,在压力1 ~ 40 MPa、流量1 ~ 15 L/min范围内,最大测量误差保持在0.28%以内。该研究揭示了测量精度主要取决于内漏一致性而非其绝对值的关键机理,为高精度齿轮流量计的优化设计提供了理论依据。
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引用次数: 0
Newton-Raphson-based optimizer combined with LSSVM: temperature compensation applied to small-range electronic pressure scanners 基于牛顿-拉斐尔的优化器结合LSSVM:适用于小范围电子压力扫描仪的温度补偿
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-11 DOI: 10.1016/j.flowmeasinst.2025.103127
Huan Wang , Xinxin Chen , Jiaxu Xia , Hongchao Zhao , Pedda Nagyalla Maddaiah
Aiming at the problem that the accuracy of electronic pressure scanners drifts with temperature during gas pressure measurements in small ranges, a temperature compensation model based on a least squares support vector machine (LSSVM) is constructed. By analyzing the signals at different ambient temperatures, characteristic parameters that reflect the pressure drift are extracted. The optimal kernel function parameters and regularization penalty parameters of the LSSVM are determined by using a Newton-Raphson-based optimizer (NRBO), and the NRBO-LSSVM model is constructed. The model is compared with back propagation (BP), SVM, particle swarm optimization (PSO)-LSSVM and grey wolf optimizer (GWO)-LSSVM algorithms, and the results show that the compensation results of the NRBO-LSSVM model are better than those of other models, and the evaluation indexes of the compensation are significantly improved, with the R2 of the test set decision coefficient reached 0.9997, and the pressurization accuracy of the small-range channel reaching within 0.08 % F.S. The results of the NRBO-LSSVM model can be used for the compensation of 300 kPa, with the regularization penalty parameters determined by the NRBO. This research can provide a new idea for low-range electronic pressure scanning valve measurement and control below 300 kPa.
针对电子压力扫描仪在小范围气体压力测量中精度随温度漂移的问题,建立了基于最小二乘支持向量机(LSSVM)的温度补偿模型。通过分析不同环境温度下的信号,提取反映压力漂移的特征参数。利用基于newton - raphson的优化器(NRBO)确定LSSVM的最优核函数参数和正则化惩罚参数,并构建NRBO-LSSVM模型。将该模型与反向传播(BP)、支持向量机(SVM)、粒子群优化(PSO)-LSSVM和灰狼优化器(GWO)-LSSVM算法进行比较,结果表明NRBO-LSSVM模型的补偿效果优于其他模型,补偿评价指标显著提高,测试集决策系数R2达到0.9997;NRBO- lssvm模型的结果可用于300 kPa的补偿,正则化惩罚参数由NRBO确定。该研究可为300kpa以下低量程电子压力扫描阀的测控提供新的思路。
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引用次数: 0
Three-dimensional reconstruction of low-pressure supersonic flows via physics-informed neural network enhanced laser-induced fluorescence imaging 利用物理信息神经网络增强激光诱导荧光成像对低压超音速流动进行三维重建
IF 2.7 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2025-11-10 DOI: 10.1016/j.flowmeasinst.2025.103123
Tingxuan Fan , Tingting Liu , Tianliang Zhao , Shuqin Jia , Jiaxu Li , Ying Huai
Accurate three-dimensional flow diagnostics in low-pressure supersonic environments remain a critical challenge for vacuum-relevant applications. In low-pressure supersonic flows, traditional particle image velocimetry encounters limitations in velocity measurements due to tracer particle inertia effects, while planar laser-induced fluorescence lacks direct velocity measurement capabilities. Additionally, the vast amount of accumulated fluid mechanics data remains underutilized due to its complexity in practical applications. To address these issues, this study proposes a physics-informed neural network enhanced planar laser-induced fluorescence technique for reconstructing three-dimensional velocity fields from concentration data in low-pressure supersonic flows. By integrating experimentally measured concentration fields, auxiliary datasets, governing equations, and entropy-based physical constraints, the method achieves full-field reconstruction. The domain decomposition framework based on compressible flow physics and entropy constraints are introduced to address high-gradient discontinuities. Normal Shock Tables serve as auxiliary references for estimating properties near the Mach disk, where direct measurements are infeasible. Validation on an extremely under-expanded jet at 520 Pa demonstrates a relative L2-norm error of 7.56 % for the reconstructed velocity field, with localized errors of 5.41 % within the isentropic barrel shock region and 14.92 % at the shock front. This method provides a non-intrusive, data-physics fusion approach for flow characterization in low-pressure supersonic environments.
在低压超音速环境中精确的三维流动诊断仍然是真空相关应用的关键挑战。在低压超声速流动中,由于示踪粒子的惯性效应,传统的粒子图像测速受到限制,而平面激光诱导荧光缺乏直接测速能力。此外,由于实际应用的复杂性,大量积累的流体力学数据仍未得到充分利用。为了解决这些问题,本研究提出了一种基于物理信息的神经网络增强平面激光诱导荧光技术,用于从低压超音速流动的浓度数据重建三维速度场。该方法通过整合实验测量的浓度场、辅助数据集、控制方程和基于熵的物理约束,实现了全场重建。引入了基于可压缩流动物理和熵约束的区域分解框架来处理高梯度不连续结构。正常激波表作为辅助参考,用于估计马赫盘附近的性能,在那里直接测量是不可行的。在520 Pa极度欠膨胀射流上的验证表明,重建速度场的相对l2范数误差为7.56%,其中等熵桶形激波区域的局部误差为5.41%,激波前缘的局部误差为14.92%。该方法为低压超音速环境下的流动表征提供了一种非侵入式的数据物理融合方法。
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引用次数: 0
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Flow Measurement and Instrumentation
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