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Open AccessArticle

Numerical Analysis of Woltman Meter Accuracy under Flow Perturbations

Rural and Agrifood Engineering Department, Polytechnic University of Valencia (UPV), 46022 Valencia, Spain
Agricultural Engineering Department, Federal University of Ceara (UFC), Pici Campus, Fortaleza 60356-001, Ceara, Brazil
Author to whom correspondence should be addressed.
Water 2019, 11(12), 2622;
Received: 6 November 2019 / Revised: 2 December 2019 / Accepted: 6 December 2019 / Published: 12 December 2019
(This article belongs to the Special Issue Irrigation Management)
One of the unknowns in the instrumentation for water measurement is what degree of influence other hydraulic elements exert on the velocity profile and, consequently, on the measurement errors. In this work, the measurement errors of a horizontal-axis Woltman meter produced by a gate valve and by a butterfly valve in different hydraulic configurations were studied using a simplified numerical model. The gate valve was installed beside the meter and three pipe diameters upstream of the meter and were operated with closures of 75%, 50% and 25%, while the butterfly valve was installed at three pipe diameters upstream of the meter with closures of 0° (open) and 30°. The numerical model based on the rotor’s torque balance equations and Computational Fluid Dynamics (CFD) was validated by experimental tests. According to the results, it was concluded that the proposed model is valid and capable of estimating the errors caused by the hydraulic fittings arranged next to the meter. In addition, it is evident that for the analysed operating range, both valves must be installed at least three diameters of straight pipe upstream of the meter. View Full-Text
Keywords: Computational Fluid Dynamics; metering; pressurized irrigation; flow perturbations Computational Fluid Dynamics; metering; pressurized irrigation; flow perturbations
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Palau, C.V.; Balbastre, I.; Manzano, J.; Azevedo, B.M.; Bomfim, G.V. Numerical Analysis of Woltman Meter Accuracy under Flow Perturbations. Water 2019, 11, 2622.

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