Fu-qiang Chen , Qin-rong Cai , Xue-yang Wei , Qian Xu , Zhi-jie Zhu , Wang-kou Liu , Xue-fei Fan
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引用次数: 0
Abstract
This study aims to address the lack of a well-established design method for fuel control valves in gas turbines, specifically in relation to noise comprehension and mitigation. It utilizes a theoretically validated and widely used precise numerical method to understand how flow induced noise is generated, evaluate the effectiveness of porous plates in noise suppression, and propose an optimized design method for reducing fuel control valve noise. Results reveal that the bias flow effect leads to an uneven force distribution at the valve core and an uneven flow in the outlet pipe. This uneven flow generates numerous vortices at valve throat, resulting in aerodynamic noise. Based on the understanding of the noise generation mechanism, it is found that using porous plates can effectively correct the bias effect at the valve core and suppress the eddy currents generated by bias current. Furthermore, in the pursuit of achieving an optimal design for noise reduction, a sensitivity analysis is performed and the impact on noise suppression varies across different parameters is observed. This study aims to investigate the mechanisms behind valve noise and explore suppression methods, ensuring the safe operation of gas turbine fuel control valves.
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.