Precipitation of nanoparticles: A coupled LIF / PIV, DNS and PBE approach for prediction of the particle size distribution (PSD)

Peukert W, Gradl J, Schwertfirm F, Schwarzer HC, Manhart M (2005)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution

Publication year: 2005

Pages Range: 799-804

Article Number: D-6

URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=27344447739&origin=inward

Abstract

Continuous precipitation is a promising process to generate nanoparticles with tailored properties. One challenge is to predict the PSD by considering all fluid dynamical, physiochemical and thermodynamical process parameters. A CFD-based approach using DNS in combination with Lagrangian Particle Tracking is applied coupled with micromixing and population balance models. The simulated flow field is validated by optical measurement methods (PIV and LIF). Whereas the mean particle size in dependence of the Re-number (over 6 orders of magnitude) can be predicted by a 1D approach, prediction of the complete PSD needs information from the fully resolved 3D fluid flow field.

Authors with CRIS profile

Wolfgang Peukert Lehrstuhl für Partikelsynthese (LFG) Michael Manhart Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Peukert, W., Gradl, J., Schwertfirm, F., Schwarzer, H.-C., & Manhart, M. (2005). Precipitation of nanoparticles: A coupled LIF / PIV, DNS and PBE approach for prediction of the particle size distribution (PSD). (pp. 799-804).

MLA:

Peukert, Wolfgang, et al. "Precipitation of nanoparticles: A coupled LIF / PIV, DNS and PBE approach for prediction of the particle size distribution (PSD)." 2005. 799-804.

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