{"title":"Research on optimization of dynamic characteristics of high-speed switching valves","authors":"Minjian Zhu , Zuzhi Tian , Rongrui Fan , Yangyang Guo , Fangwei Xie","doi":"10.1016/j.flowmeasinst.2026.103216","DOIUrl":null,"url":null,"abstract":"<div><div>The dynamic characteristics of high-speed switching valves (HSV) are significantly influenced by their driving parameters. Complex interactions among them often hinder further performance enhancement. To improve the dynamic response while maintaining optimization efficiency, this study takes into account both the opening and closing lag times of the HSV and the computational cost of the optimization process. A co-simulation model was established to systematically analyze the influence of multiple parameters on the dynamic characteristics and to conduct parameter optimization. First, a co-simulation model integrating the electromagnetic field and circuit was built using <em>Maxwell</em> and <em>Simplorer</em> to investigate the effects of coil turns, driving voltage, and accelerating capacitance on the valve's dynamic characteristics. Second, the Response Surface Methodology (RSM) was employed to design a multi-factor experiment, revealing the effects of parameter combinations on the opening and closing lag times and analyzing the interactions among the factors. Finally, objective functions were established and solved to minimize the opening and closing lag times, thereby obtaining the optimal parameter combination. The results demonstrate that with the optimal combination of 1006 coil turns, a 48 V driving voltage, and a 148 μF accelerating capacitance, the opening lag time is reduced by 64.7 % and the closing lag time by 62.9 %. This method significantly improves dynamic performance while effectively reducing computational costs, offering valuable insights for engineering practice.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"109 ","pages":"Article 103216"},"PeriodicalIF":3.3000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Flow Measurement and Instrumentation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0955598626000300","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/23 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The dynamic characteristics of high-speed switching valves (HSV) are significantly influenced by their driving parameters. Complex interactions among them often hinder further performance enhancement. To improve the dynamic response while maintaining optimization efficiency, this study takes into account both the opening and closing lag times of the HSV and the computational cost of the optimization process. A co-simulation model was established to systematically analyze the influence of multiple parameters on the dynamic characteristics and to conduct parameter optimization. First, a co-simulation model integrating the electromagnetic field and circuit was built using Maxwell and Simplorer to investigate the effects of coil turns, driving voltage, and accelerating capacitance on the valve's dynamic characteristics. Second, the Response Surface Methodology (RSM) was employed to design a multi-factor experiment, revealing the effects of parameter combinations on the opening and closing lag times and analyzing the interactions among the factors. Finally, objective functions were established and solved to minimize the opening and closing lag times, thereby obtaining the optimal parameter combination. The results demonstrate that with the optimal combination of 1006 coil turns, a 48 V driving voltage, and a 148 μF accelerating capacitance, the opening lag time is reduced by 64.7 % and the closing lag time by 62.9 %. This method significantly improves dynamic performance while effectively reducing computational costs, offering valuable insights for engineering practice.
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.