Optimizing turbine meter performance through geometrical parameter analysis: A simulation-based approach using TOPSIS

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL Flow Measurement and Instrumentation Pub Date : 2024-08-30 DOI:10.1016/j.flowmeasinst.2024.102678

Mona Mohammadi Neyshaburi, Abdolamir Bak Khoshnevis, Mahdi Deymi-Dashtebayaz

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Abstract

The number of blades and their angle in a turbine gas meter directly affect its performance and the amount of lift force, pressure drop and flow rate passing through the blades. In this research, the combination of software simulation and optimization method has been used as an effective research tool to investigate the effect of these geometric parameters on the amount of pressure drop, volume flow rate and lift force. First, the flow in a turbine gas meter is simulated using computational fluid dynamics. The set of governing equations including continuity, linear momentum and angular momentum have been solved by Fluent software. To simulate the turbulent flow, the standard k-ε model is used. In the next step, with the help of TOPSIS model, it has been optimized to check the effect of each of the parameters and determine their optimal values. The results of this research showed that by increasing the number of blades and increasing the blade angle, the lift force increases. Among the two parameters, the number of blades and the angle value, changing the number of blades has a significant effect. Reducing the number of blades and decreasing the blade angle can be effective strategies to minimize pressure drop. Also, the effect of changing the number of blades plays an important role in pressure drop. The pressure drop in the number of 20 blades is the highest and this's due to its large number of blades. In this article, 21 cases have been investigated with the help of TOPSIS and it can be seen that the angle of 30 $°$ with 12 blades is an optimal model. The ratio of lift force to drag force is observed at an angle of 30°, the number of 20 blades is the highest and its dimensionless value is 78.23. For an angle of 37.5°, the ratio of lift force to drag force for 20 blades has the highest value and its dimensionless value is 915.9. Also, for an angle of 45°, the ratio of lift force to drag force and the number of 20 blades has the highest value, and its dimensionless value is 1190.94.

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通过几何参数分析优化涡轮流量计性能：基于模拟的 TOPSIS 方法

涡轮气体流量计的叶片数量和角度直接影响其性能以及通过叶片的升力、压降和流量。本研究采用软件模拟和优化相结合的方法作为有效的研究工具，研究这些几何参数对压降、体积流量和升力的影响。首先，使用计算流体动力学模拟涡轮气体流量计中的流动。包括连续性、线性动量和角动量在内的控制方程组已由 Fluent 软件求解。为了模拟湍流，使用了标准的 k-ε 模型。下一步，在 TOPSIS 模型的帮助下进行优化，以检查每个参数的影响并确定其最佳值。研究结果表明，通过增加叶片数量和增大叶片角度，升力会增大。在叶片数量和角度值这两个参数中，改变叶片数量的效果显著。减少叶片数量和减小叶片角度可以有效地减少压降。此外，叶片数量的变化对压力降也有重要影响。叶片数量为 20 的压降最大，这是因为叶片数量较多。本文利用 TOPSIS 对 21 种情况进行了研究，结果表明，12 片叶片的 30 ° 夹角是最佳模式。从升力与阻力的比值可以看出，在倾角为 30°、叶片数为 20 片时，升力与阻力的比值最大，其无量纲值为 78.23。角度为 37.5°时，20 片叶片的升力与阻力比值最大，其无量纲值为 915.9。此外，在倾角为 45°时，20 片叶片的升力与阻力之比值最大，其无量纲值为 1190.94。

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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.