Design of a high-precision linear regulating ball valve

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Flow Measurement and Instrumentation Pub Date : 2024-10-11 DOI:10.1016/j.flowmeasinst.2024.102708
Zhe Zhao , Yongguang Liu , Xiaohui Gao , Saisai Tong
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Abstract

In this paper, a high-precision linear regulating ball valve is designed from four aspects: positioning accuracy, sealing performance, flow area and flow coefficient. A mathematical expression for the relationship between spool thickness, incision angle and flow coefficient was developed. The correlation matrix P between the structural parameters and the flow coefficient is obtained by surface fitting. The structural parameters under linear requirements are further determined by determining the P matrix. A more accurate linearization of the flow characteristics was achieved. The CFD data showed that the error of the optimized flow rate with respect to the ideal linear data was less than 0.15 kg/s. The average error was reduced by 43.8% when compared with the minimum error of different structures. The variance decreased by about 58.2% compared to the minimum variance for different structures. The final flow test of the optimized ball valve was carried out. The error between the flow test data and the CFD data is less than 0.14 kg/s and the maximum relative error is about 6.58%.
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高精度线性调节球阀的设计
本文从定位精度、密封性能、流通面积和流量系数四个方面设计了一种高精度线性调节球阀。建立了阀芯厚度、切口角度和流量系数之间关系的数学表达式。通过曲面拟合得到了结构参数与流量系数之间的相关矩阵 P。通过确定 P 矩阵,进一步确定了线性要求下的结构参数。实现了更精确的流动特性线性化。CFD 数据显示,优化后的流量与理想线性数据的误差小于 0.15 kg/s。与不同结构的最小误差相比,平均误差减少了 43.8%。与不同结构的最小方差相比,方差减少了约 58.2%。对优化后的球阀进行了最终流量测试。流量测试数据与 CFD 数据之间的误差小于 0.14 kg/s,最大相对误差约为 6.58%。
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来源期刊
Flow Measurement and Instrumentation
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.
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