Skip to main content
Log in

Magnetic resonance imaging as a sensor system for multiphase mixing

  • Published:
Applied Magnetic Resonance Aims and scope Submit manuscript

Abstract

Mixing in a multicomponent batch system was evaluated by magnetic resonance images. The system was a 10% carbon black powder suspended in aqueous solution. The factors in this study were surfactant type (neodol 23-5 and sodium dodecyl sulfate) at two levels: 1 and 0.1%. Water (0% surfactant) was used as the control. In addition to surfactant type and level, the third factor was mixing mode: with vortex and without vortex motion. These conditions were displayed at 180 and 60 rpm impeller speed respectively. The type of surfactant did not yield significantly different results in terms of mixing effectiveness. The rate of mixing, as characterized by first-order rate constants, was statistically different as a function of mixing mode, level of surfactant and the interaction of these factors. The extent of mixing, characterized by a normalized mean signal intensity, was also statistically different as a function of the same factors and interaction. The incorporation of air and subsequent release of air was described by the volume change of the mixture as a function of time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Parfitt G.D., Barnes H.A.: Mixing in the Process Industries (Harnby N., Edwards M.F., Nienow A.W., eds.), 2nd edn., pp. 99–117. Oxford: Butterworth-Heinemann Ltd. 1992.

    Chapter  Google Scholar 

  2. Rwei S.P., Manas-Zloczower I., Feke D.L.: Polym. Eng. Sci.32, 130–135 (1992)

    Article  Google Scholar 

  3. Nagai K., Igarashi Y., Taniguchi T.: Colloids Surfaces153, 161–163 (1999)

    Article  Google Scholar 

  4. Yamada H., Manas-Zloczower I., Feke D.L.: Powder Technol.92, 163–169 (1997)

    Article  Google Scholar 

  5. Yamada H., Manas-Zloczower I., Feke D.L.: Rubber Chem. Technol.71, 1–16 (1998)

    Article  Google Scholar 

  6. Rwei S.P., Manas-Zloczower I., Feke D.L.: Polym. Eng. Sci.30, 701–706 (1990)

    Article  Google Scholar 

  7. Gerspacher M., Nikiel L., Yang H.H., O’Farrell C.P.: Rubber Chem. Technol.71, 17–25 (1998)

    Article  Google Scholar 

  8. McCarthy M.J.: Magnetic Resonance Imaging in Foods. New York: Chapman and Hall 1994.

    Book  Google Scholar 

  9. Tadmor Z., Gogos C.G.: Principles of Polymer Processing, pp. 196–235. New York: Wiley 1979.

    Google Scholar 

  10. Lee Y., McCarthy M.J., McCarthy K.L.: J. Food Eng.50, 167–174 (2001)

    Article  Google Scholar 

  11. Lee Y.: Ph.D. thesis, University of California, Davis, California, USA 2001.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

McCarthy, K.L., Lee, Y., Green, J. et al. Magnetic resonance imaging as a sensor system for multiphase mixing. Appl. Magn. Reson. 22, 213–222 (2002). https://doi.org/10.1007/BF03166104

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03166104

Keywords

Navigation