Particle image velocimetry in the impeller of a centrifugal pump: Relationship between turbulent flow and energy loss

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
William D.P. Fonseca , Rodolfo M. Perissinotto , Rafael F.L. Cerqueira , William Monte Verde , Marcelo S. Castro , Erick M. Franklin
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Abstract

Turbulent flows play a dominant role in the operation of centrifugal pumps, which find widespread use in industrial settings and various aspects of human life. The dissipation rate of turbulent kinetic energy emerges as a key parameter within these devices, with its local values exerting a significant influence on centrifugal pump performance. Recent advances in particle image velocimetry (PIV) techniques have expanded the ability to analyze complex turbulent flows across a broad spectrum of scales. In this context, this paper aims to deepen our understanding of the turbulent flow field and its correlation with energy loss in centrifugal pump impellers. To achieve this, experiments were conducted using PIV on a transparent pump operating under different conditions. Statistics of the turbulent flow were then obtained from phase-ensemble averages of velocities, vorticity, turbulence production, and local dissipation of turbulent kinetic energy. To overcome the limited spatial resolution constraint of PIV, the large-eddy PIV (LES-PIV) method was employed to estimate the local dissipation rate. In this method, it is assumed that the motion of larger scales is measured by the PIV technique, while the smaller scales (unresolved scales) are modeled by a sub-grid scale model, calculated from the strain rate tensors obtained from the measured fields. Energy losses in the impeller were studied using two methodologies: (i) a conventional method based on power measurements, and (ii) an alternative approach based on the budget of turbulent kinetic energy. Our results reveal that turbulent loss caused by turbulence production is the main source of energy loss in the pump impeller, and it is particularly pronounced in low-flow operating conditions characterized by large-scale structures. On the other hand, in situations where flow rates exceed the best efficiency point (BEP) condition, the predominant flow structures are marked by small-scale features, mainly attributed to local dissipation of turbulence. Our findings clarify the characteristics of energy losses in centrifugal pump impellers and their relationship with the turbulent flow field, and, in addition, providing a methodology for calculating the local turbulent dissipation rate and its limitations when derived from PIV measurements.

离心泵叶轮中的粒子图像测速仪:湍流与能量损失之间的关系
湍流在离心泵的运行中起着主导作用,广泛应用于工业环境和人类生活的各个方面。湍流动能的耗散率是这些设备中的一个关键参数,其局部值对离心泵的性能有重大影响。粒子图像测速(PIV)技术的最新进展扩大了分析各种尺度复杂湍流的能力。在此背景下,本文旨在加深我们对湍流场及其与离心泵叶轮能量损失的相关性的理解。为此,我们使用 PIV 对在不同条件下运行的透明泵进行了实验。然后从速度、涡度、湍流产生和湍流动能的局部耗散的相位组合平均值中获得湍流的统计数据。为了克服 PIV 空间分辨率有限的限制,采用了大涡度 PIV(LES-PIV)方法来估算局部耗散率。在这种方法中,假定较大尺度的运动由 PIV 技术测量,而较小尺度(未解决的尺度)由子网格尺度模型建模,子网格尺度模型由从测量场中获得的应变率张量计算得出。使用两种方法研究了叶轮中的能量损失:(i) 基于功率测量的传统方法;(ii) 基于湍流动能预算的替代方法。我们的研究结果表明,湍流产生造成的湍流损失是泵叶轮能量损失的主要来源,在以大型结构为特征的低流量运行条件下尤为明显。另一方面,在流速超过最佳效率点(BEP)的条件下,主要的流动结构具有小尺度特征,这主要归因于湍流的局部耗散。我们的研究结果阐明了离心泵叶轮中能量损失的特征及其与湍流流场的关系,此外还提供了一种计算局部湍流耗散率的方法,以及从 PIV 测量中得出的局部湍流耗散率的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Flow Measurement and Instrumentation
Flow Measurement and Instrumentation 工程技术-工程:机械
CiteScore
4.30
自引率
13.60%
发文量
123
审稿时长
6 months
期刊介绍: Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions. FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest: Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible. Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems. Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories. Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.
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