Dynamic characteristic analysis and optimization of a pilot-operated safety valve based on co-simulation

IF 2.7 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-10-02 DOI:10.1016/j.flowmeasinst.2025.103082

Lintao Wang , Xinkai Ding , Yongxin Wang , Ruichuan Li , Xin Liu , Zihan Wang

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引用次数: 0

Abstract

To address the challenges of dynamic characteristic analysis of pilot-operated safety valve systems under multi-physics coupling and multi-structure interactions, this study proposes a multi-structure coupling dynamic analysis method based on 1D-3D co-simulation, using the AMESim and STAR-CCM + platforms. The method systematically reveals the regulation mechanisms of various structural parameters on the dynamic performance of the pilot-operated safety valve. By establishing a high-precision co-simulation framework, key structural parameters of the pilot valve, piston, and main valve are optimized collaboratively using experimental design and the SHERPA algorithm within the working pressure range of 140–170 kPa. This framework accurately characterizes the interaction mechanisms between the pilot valve, piston, and main valve and quantifies the control effects of different structural parameters on the pilot-operated safety valve. The “pilot valve, piston dynamic regulation - main valve fluid-structure interaction” progressive optimization strategy was employed, ensuring the analysis and optimization of the dynamic performance of the pilot-operated safety valve while fully considering multi-structure coupling effects. The results show that the optimized pilot-operated safety valve exhibits a 68.18 % reduction in pressure overshoot, a 61.61 % improvement in system response speed, and a 14.19 % increase in maximum discharge capacity at the maximum main valve lift. This study reveals the synergistic control mechanisms of the pilot-operated safety valve and provides theoretical foundations and engineering methods for the structural design and optimization of high-performance pilot-operated safety valves.

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基于联合仿真的先导式安全阀动态特性分析与优化

针对多物理场耦合和多结构相互作用下先导式安全阀系统动态特性分析的挑战，本研究基于AMESim和STAR-CCM +平台，提出了一种基于1D-3D联合仿真的多结构耦合动态分析方法。该方法系统地揭示了各种结构参数对先导式安全阀动态性能的调节机理。通过建立高精度协同仿真框架，在140 ~ 170 kPa工作压力范围内，采用实验设计和SHERPA算法协同优化先导阀、活塞和主阀关键结构参数。该框架准确表征了先导阀、活塞和主阀之间的相互作用机理，量化了不同结构参数对先导安全阀的控制效果。采用“先导阀-活塞动态调节-主阀流固耦合”的渐进优化策略，在充分考虑多结构耦合效应的同时，保证了先导安全阀动态性能的分析与优化。结果表明，优化后的先导式安全阀在最大主阀扬程下，压力超调量降低了68.18%，系统响应速度提高了61.61%，最大排量提高了14.19%。本研究揭示了先导式安全阀的协同控制机理，为高性能先导式安全阀的结构设计与优化提供了理论依据和工程方法。

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 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.