Xiaoxue Liu, Yaobao Yin, Yifan Wang, Weiqi Wang, Xinyi Wang, Hong Wang
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引用次数: 0
Abstract
The deflector jet servo valve (DJSV) is a critical component in modern hydraulic control systems, widely used in aerospace, industrial automation, and precision machinery due to its high response speed and reliability. The pilot stage, as a core component of the servo valve, plays a crucial role in converting the displacement signal from the torque motor into the pressure signal to drive the movement of the power stage spool valve. However, the pilot stage flow field structure of the DJSV is intricate, involving multiple phases of energy conversion, and existing studies lack a complete mathematical model that can accurately describe its performance. This limitation has hindered the optimization of servo valve design and performance analysis. To address this gap, this paper proposes a novel method for modeling and performance analysis of the pilot stage flow field of the DJSV. Based on the working principles of the pilot stage and the mechanisms of energy transfer and conversion during the jet flow process, the pilot stage jet flow is divided into five distinct phases to develop a mathematical model of the flow field. Furthermore, the performance of the pilot stage and the influence of key structural parameters are analyzed, then a mapping relationship between them is established. This paper conducted a pressure characteristic test of the pilot stage to verify the correctness of the proposed method. The proposed model offers significant practical value for optimizing servo valve design, reducing development time, and improving system performance in various industrial applications.
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.