Performance of novel multipath ultrasonic phased array flowmeter using Gaussian quadrature integration

Sakhavi, Noureddin; Nouri, Nowrouz Mohammad

doi:10.1016/j.apacoust.2022.109004

Cited by 6 publications

(3 citation statements)

References 30 publications

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“…This will make the measured value less sensitive to flow disturbances. This method has been described in many scientific articles [ 34 , 35 , 36 , 37 ].…”

Section: Discussionmentioning

confidence: 99%

Experimental Determination Influence of Flow Disturbances behind the Knife Gate Valve on the Indications of the Ultrasonic Flow Meter with Clamp-On Sensors on Pipelines

Piechota

Synowiec

Andruszkiewicz

et al. 2023

Sensors

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The aim of this work is to experimentally determine and evaluate the value of the correction factor for ultrasonic flow meters in order to improve their accuracy. This article concerns flow velocity measurement with the use of an ultrasonic flow meter in the area of disturbed flow behind the distorting element. Clamp-on ultrasonic flow meters are popular among measurement technologies due to their high accuracy and easy, non-invasive installation, because the sensors are mounted directly on the outer surface of the pipe. In industrial applications, installation space is usually limited and, therefore, flow meters frequently have to be mounted directly behind flow disturbances. In such cases, it is necessary to determine the value of the correction factor. The disturbing element was a knife gate valve, a valve often used in flow installations. Water flow velocity tests were performed using an ultrasonic flow meter with clamp-on sensors on the pipeline. The research was performed in 2 series of measurements with different Reynolds numbers of 35,000 and 70,000, which correspond to a velocity of approximately 0.9 m/s and 1.8 m/s. The tests were carried out at different distances from the source of interference, within the range of 3–15 DN (pipe nominal diameter). The position of the sensors at successive measurement points on the circuit of the pipeline was changed by 30 degrees. Flow velocity measurements were carried out for two different levels of the valve’s closure: 1/3 and 1/2 of the valve’s height. For the collected velocity values at single measurement points, the values of the correction coefficient, K, were determined. The results of the tests and calculations prove that compensation error of measurement performed behind the disturbance without keeping the required straight sections of the pipeline is possible by using the factor K*. The analysis of the results made it possible to identify the optimal measuring point at a distance from the knife gate valve as being smaller than specified in the standards and recommendations.

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“…This will make the measured value less sensitive to flow disturbances. This method has been described in many scientific articles [ 34 , 35 , 36 , 37 ].…”

Section: Discussionmentioning

confidence: 99%

Experimental Determination Influence of Flow Disturbances behind the Knife Gate Valve on the Indications of the Ultrasonic Flow Meter with Clamp-On Sensors on Pipelines

Piechota

Synowiec

Andruszkiewicz

et al. 2023

Sensors

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show abstract

“…The common algorithms are the Equal Tab, Gauss–Jacobi (IEC, 1991; Syaiful Abidin et al , 2019) and optimal weighted integration for circular sections (OWICS) (Voser, 1999). These algorithms belong to the Gaussian integrals, which is widely used in the flow calculation of multichannel ultrasonic flowmeter (Sakhavi and Nouri, 2022a; Sakhavi and Mohammad Nouri, 2022b). Tresch et al (2006) conducted a comparative analysis of several integration methods and elaborated the advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of a multipath ultrasonic flowmeter with deep learning based on the velocity profile

Xu,

2023

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Purpose The asymmetry of the velocity profile caused by geometric deformation, complex turbulent motion and other factors must be considered to effectively use the flowmeter on any section. This study aims to better capture the flow field information and establish a model to predict the profile velocity, we take the classical double elbow as the research object and propose to divide the flow field into three categories with certain common characteristics. Design/methodology/approach The deep learning method is used to establish the model of multipath linear velocity fitting profile average velocity. A total of 480 groups of data are taken for training and validation, with ten integer velocity flow fields from 1 m/s to 10 m/s. Finally, accuracy research with relative error as standard is carried out. Findings The numerical experiment yielded the following promising results: the maximum relative error is approximately 1%, and in the majority of cases, the relative error is significantly lower than 1%. These results demonstrate that it surpasses the classical optimization algorithm Equal Tab (5%) and the traditional artificial neural network (3%) in the same scenario. In contrast with the previous research on a fixed profile, we focus on all the velocity profiles of a certain length for the first time, which can expand the application scope of a multipath ultrasonic flowmeter and promote the research on flow measurement in any section. Originality/value This work proposes to divide the flow field of double elbow into three categories with certain common characteristics to better capture the flow field information and establish a model to predict the profile velocity.

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“…The errors between the new method and the COMSOL simulation were found to be less than 1%, and the errors between experiments using different ultrasonic transducers were within ±6%. Sakhavi and Nouri [51] used a phased array transducer in multipath ultrasonic flow meters for non-mechanical velocity measurements. The performance of the flowmeter downstream of a single bend was evaluated using Gaussian quadrature integration formulas with different velocity profile models, and CFD simulation modelled the flow field downstream of the bend.…”

Section: Introductionmentioning

confidence: 99%

Examining Transit-Time Ultrasonic Flowmeter Inaccuracies during Changing Gas Velocity Profiles

et al. 2023

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This study investigates the impact of changes in velocity profiles on the measurement inaccuracies of gas flow streams detected by an ultrasonic flowmeter. The cross-sectional velocity profile was influenced by the downhill flow rate, causing variations in the shape factor coefficient. The flowmeter processing equation should consider the factor of shape coefficient variations. Consideration for these variations can result in errors in the measurement of the flow stream. The processing equation assumes a single, constant value for the shape factor coefficient, which can lead to inaccuracies. This article covers the inaccuracies of the transit-time ultrasonic flowmeter caused by a change in the velocity profile of the flowing gas, such as air. A realistic flow system was established with measured flow rates ranging from 43 m3/h to 225 m3/h. The findings of this study can serve as a valuable reference for the design and implementation of more accurate and efficient flow measurement systems that can enhance process efficiency.

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Performance of novel multipath ultrasonic phased array flowmeter using Gaussian quadrature integration

Cited by 6 publications

References 30 publications

Experimental Determination Influence of Flow Disturbances behind the Knife Gate Valve on the Indications of the Ultrasonic Flow Meter with Clamp-On Sensors on Pipelines

Experimental Determination Influence of Flow Disturbances behind the Knife Gate Valve on the Indications of the Ultrasonic Flow Meter with Clamp-On Sensors on Pipelines

Accuracy of a multipath ultrasonic flowmeter with deep learning based on the velocity profile

Examining Transit-Time Ultrasonic Flowmeter Inaccuracies during Changing Gas Velocity Profiles

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