基于运动信息分析的气流涡特性模型实验研究

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-08-22 DOI:10.1016/j.flowmeasinst.2025.103037

Min Sheng, Ruhao Dai, Bo Yang

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引用次数: 0

摘要

在水轮机模型试验中，为了确认水力发展过程和运行稳定性，有必要对旋涡进行观测。为了在试验条件下记录更多的静态和动态信息，本文提出了基于试验经验的观察记录方法。该方法不同于现有的直接观测和记录气流涡旋的方法，可以同时提取气流涡旋的运动信息。在东芝液压综合试验平台上将该方法应用于某混流式水轮机模型，研究了不同流量下旋涡流型及特性的变化规律。此外，还尝试使用漩涡数来描述从组织和记录中获得的信息。结果表明，该方法的实现可以对观测和试验信息进行补充和完善，从而对研制过程中的数值模拟结果进行验证，对样机运行也具有参考意义。

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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Model experimental study on draft vortex characteristics based on motion information analysis

In the model test of hydraulic turbine, it is necessary to observe the vortex to confirm the hydraulic development process and operation stability. In order to record more static and dynamic information at the test conditions, observing and recording method based on tests experience was proposed in this paper. This method differs from existing methods of directly observing and recording the draft vortex, as it can simultaneously extract the motion information of the vortex. The application of this method to a Francis turbine model was carried out on the Toshiba Hydraulic General Test Platform, and the variation laws of vortex flow regime and characteristics under different flow rates were studied. Furthermore, Swirl Number was attempted to use to characterize the information obtained from organizing and recording. The results show that the observation and test information can be supplemented and improved by this method implementation, thus the numerical simulation results in the development process can be verified, and this also have reference significance for the prototype operation.

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来源期刊

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.