The characterization of fluids that flow in industrial pipes is of paramount importance to optimize the production process and guarantee the final product quality in most industries. Rheological parameters of the fluid can be efficiently calculated starting from the Pressure Drop (PD) along a tract of the pipe, and the velocity profile that the flow develops along the pipe diameter, which can be assessed through Ultrasounds Pulsed Wave Doppler (PWD). Unfortunately, in PWD the maximum detectable velocity is restricted by the aliasing limit related to the Pulse Repetition Frequency (PRF). The use of PRF sequences at different rate can recover de-aliased velocities by combining the aliased data. In this work, we extend the capabilities of an embedded PWD ultrasound system used to characterize industrial fluids by implementing, in real-time, the multi-PRF method.

Real-time in-line industrial fluids characterization using multiple pulse repetition frequency / Meacci, Valentino*; Matera, Riccardo; Wiklund, Johan; Ricci, Stefano. - STAMPA. - 512:(2019), pp. 73-79. (Intervento presentato al convegno International Conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2017 tenutosi a ita nel 2017) [10.1007/978-3-319-93082-4_10].

Real-time in-line industrial fluids characterization using multiple pulse repetition frequency

Meacci, Valentino;Matera, Riccardo;Ricci, Stefano
2019

Abstract

The characterization of fluids that flow in industrial pipes is of paramount importance to optimize the production process and guarantee the final product quality in most industries. Rheological parameters of the fluid can be efficiently calculated starting from the Pressure Drop (PD) along a tract of the pipe, and the velocity profile that the flow develops along the pipe diameter, which can be assessed through Ultrasounds Pulsed Wave Doppler (PWD). Unfortunately, in PWD the maximum detectable velocity is restricted by the aliasing limit related to the Pulse Repetition Frequency (PRF). The use of PRF sequences at different rate can recover de-aliased velocities by combining the aliased data. In this work, we extend the capabilities of an embedded PWD ultrasound system used to characterize industrial fluids by implementing, in real-time, the multi-PRF method.
2019
Lecture Notes in Electrical Engineering
International Conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2017
ita
2017
Meacci, Valentino*; Matera, Riccardo; Wiklund, Johan; Ricci, Stefano
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1131892
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