Cover of: Analysis and Control of Mixing with an Application to Micro and Macro Flow Processes | Luca Cortelezzi Read Online
Share

Analysis and Control of Mixing with an Application to Micro and Macro Flow Processes by Luca Cortelezzi

  • 196 Want to read
  • ·
  • 63 Currently reading

Published by Springer-Verlag Vienna in Vienna .
Written in English

Subjects:

  • Engineering,
  • Hydraulic engineering

Book details:

Edition Notes

Statementedited by Luca Cortelezzi, Igor Mezić
SeriesCISM International Centre for Mechanical Sciences -- 510
ContributionsMezic, Igor, SpringerLink (Online service)
The Physical Object
Format[electronic resource] /
ID Numbers
Open LibraryOL27016615M
ISBN 109783211993453, 9783211993460

Download Analysis and Control of Mixing with an Application to Micro and Macro Flow Processes

PDF EPUB FB2 MOBI RTF

  Analysis and Control of Mixing with an Application to Micro and Macro Flow Processes by Luca Cortelezzi,Igor Mezic, , Springer edition . Get this from a library! Analysis and control of mixing with an application to micro and macro flow processes. [Luca Cortelezzi; Igor Mezic; . Get this from a library! Analysis and Control of Mixing with an Application to Micro and Macro Flow Processes. [Luca Cortelezzi; Igor Mezić]. The book should give an understanding of the influence of the construction of different mixing equipment on to the momentum, heat and mass transfer as well as reaction processes running on microscopic scales of time and local coordinates.

  This classical segregation presents challenges in terms of batch mixing processes. If undisturbed, then the dye would eventually diffuse across lamellae to other .   At pressures above MPa the absence of drops but the presence of turbulent structures and gradients documents a single-phase jet mixing process governed by macro- . Analysis and Control of Mixing with an Application to Micro and Macro Flow Processes, () KAM tori: persistence and smoothness. Nonlinearity . In summary, process-oriented micro-macro-analyses typically combine or mix different data sorts (e.g. ethnography and public administrative data) which address different time layers. Based on these observations, the session asks how to conduct process-oriented micro—meso-macro-analyses.

The micromixing model of Baldyga and Bourne () was extended to include interactions between macro‐and micro‐mixing and should be valid for feed times below the critical value, although not so short as the macromixing time in the vessel. Model predictions were .   The macro-mixing time scale, or blend time in the reactor, is constant across all addition rates (see Eq.), whereas the meso-mixing and micro-mixing time scales vary as a function of addition rate due to the change to the local turbulence and flow field in the vicinity of the feed location. These values are calculated (Eqs. the plug flow reactor (PFR) and the batch reactor. The EFR usually is a tubular reactor through which a cylindrical plug of fluid passes with complete radial mixing at each axial cross section but no longi­ tudinal mixing. The batch reactor is a completely mixed stirred tank reactor with no flow in or out. The feed is initially charged to the. The mixing process of two pressure driven steady-state rarefied gas streams flowing between two parallel plates was investigated via DSMC (Direct Simulation Monte Carlo) for different combinations of gases. The distance from the inlet, where the associated relative density difference of each species is minimized and the associated mixture homogeneity is optimized, is the so-called mixing length.