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Electronics System for Velocity Profile Emulation

  • Dario RussoEmail author
  • Valentino Meacci
  • Stefano Ricci
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 573)

Abstract

The possibility of detecting the velocity profile in a fluid flowing in an industrial pipe is of high importance for several applications, like the accurate measurement of the volume flow or the rheological characterization of the fluid. Recently, industrial embedded systems have been presented that detect the velocity profile in pipes through Pulsed Ultrasound Velocimetry (PUV) method, based on Doppler ultrasound. The development, test and characterization of these systems are currently based on flow-rigs, which consist of hydraulic systems where a known fluid flows in a pipe circuit pushed by a pump. Unfortunately, flow-rigs are cumbersome and produce velocity profile whose features are not perfectly known. In this work, an electronic system that mimics the echo signal produced by a flow-rig is presented. Characteristic of the emulated profile, like signal-to-noise ratio, shape, velocity, etc., are fully programmable and perfectly known, thus a complete and reliable evaluation of the performance of the PUV system under test is now possible.

References

  1. 1.
    Salazar, J., Alava, J.M., Sahi, S.S., Turo, A., Chavez, J.A., Garcia, M.J.: Ultrasound measurements for determining rheological properties of flour-water systems. In: IEEE Ultrasonics Symposium 2002 Proceedings (2002).  https://doi.org/10.1109/ULTSYM.2002.1193537
  2. 2.
    Birkhofer, B., Debacker, A., Russo, S., Ricci, S., Lootens, D.: In-line rheometry based on ultrasonic velocity profiles: comparison of data processing methods. Appl. Rheol 22(4), 3.  https://doi.org/10.3933/ApplRheol-22-44701
  3. 3.
    Wiklund, J., Shahram, I., Stading, M.: Methodology for in-line rheology by ultrasound Doppler velocity profiling and pressure difference techniques. Chem. Eng. Sci. 62(16), 4277–4293 (2007).  https://doi.org/10.1016/j.ces.2007.05.007CrossRefGoogle Scholar
  4. 4.
    Muller, M., Brunn, P.O., Harder, C.: New rheometric technique: the gradient-ultrasound pulse doppler method. Appl. Rheol 7(5), 204–210 (1997)CrossRefGoogle Scholar
  5. 5.
    Ricci, S., Matera, R., Tortoli, P.: An improved Doppler model for obtaining accurate maximum blood velocities. Ultrasonics 54(7), 2006–2014 (2014).  https://doi.org/10.1016/j.ultras.2014.05.012CrossRefGoogle Scholar
  6. 6.
    Ricci, S., Liard, M., Birkhofer, B., Lootens, D., Brühwiler, A., Tortoli, P.: Embedded Doppler system for industrial in-line rheometry. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 59(7), 1395–1401 (2012).  https://doi.org/10.1109/TUFFC.2012.2340CrossRefGoogle Scholar
  7. 7.
    Ricci, S., Meacci, V., Birkhofer, B., Wiklund, J.: FPGA-based system for in-line measurement of velocity profiles of fluids in industrial pipe flow. IEEE Trans. Ind. Electr. 64(5), 3997–4005 (2017).  https://doi.org/10.1109/TIE.2016.2645503CrossRefGoogle Scholar
  8. 8.
    Jensen, J.A., Svendsen, N.B.: Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 39(2), 262–267 (1992).  https://doi.org/10.1109/58.139123CrossRefGoogle Scholar
  9. 9.
    Jensen, J.A.: Field: a program for simulating ultrasound systems. Med. Biol. Eng. Comput. 34(1), 351–353 (1996)Google Scholar
  10. 10.
    Ricci, S., Swillens, A., Ramalli, A., Segers, P., Tortoli, P.: Wall shear rate measurement: validation of a new method through multiphysics simulations. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 64(1), 66–77 (2017).  https://doi.org/10.1109/TUFFC.2016.2608442CrossRefGoogle Scholar
  11. 11.
    Kotzé, R., Ricci, S., Birkhofer, B., Wiklund, J.: Performance tests of a new non-invasive sensor unit and ultrasound electronics. Flow Meas. Instr. 48, 104–111 (2016).  https://doi.org/10.1016/j.flowmeasinst.2015.08.013CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information Engineering DepartmentUniversity of FlorenceFlorenceItaly

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