作者: Johannes Gradl , Hans-Christoph Schwarzer , Florian Schwertfirm , Michael Manhart , Wolfgang Peukert
DOI: 10.1016/J.CEP.2005.11.012
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摘要: Mixing is a key parameter to tailor the particle size distribution (PSD) in nanoparticle precipitation. In this study we present two model approaches simulate impact of mixing on PSD, using barium sulfate as exemplary material. first model, combine Lagrangian micromixing with population balance equation. This approach was found successful predicting influence mean sizes but fails predict shape and width PSD. attributed neglect spatial temporal fluctuations that model. Therefore, an improved CFD-based direct numerical simulation (DNS) combination tracking strategy applied. We full DNS-approach, coupled derived capable PSD