Qingchao Xia , Dapeng Zhou , Ganghui Ye , Liujie Wu , Guoyun Ye , Bo Jin
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引用次数: 0
Abstract
This paper focuses on the study of a bi-directional relief valve for vehicle shock absorbers. The performance of the solenoid valve significantly influences the overall efficiency of the vehicle damping system. In order to optimize its dynamic performance and ensure a better driving experience, an accurate dynamic model was developed to study the characteristics by numerical simulation approach. The model was validated by experimental results. With the validated model, the dynamic response of valve system under different operating conditions were discussed and selected some key parameters that have a significant impact on the dynamic characteristics by the Sobol sensitivity analysis method. Then, based on genetic algorithm, these parameters were optimized and the final optimization values were determined. Finally, the optimization was validated by comparing the experimental results before and after optimization. Under recovery stroke conditions, the maximum adjustment pressure increases 36.6 % and response time decreases 45 % compared to pre-optimization. This study proposes a more accurate modelling method and effectively improves the performance of the valve, which provides a validated methodology for enhancing the dynamic characteristics of electro-hydraulic control components in automotive suspension systems.
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.