Simulation and Measurement of Flows in Chemical Process Engineering—Trends, Insights and Applications

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: 30 May 2024 | Viewed by 997

Special Issue Editors


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Guest Editor
Faculty of Chemistry-Chemical Engineering, University of Applied Sciences Niederrhein, 47798 Krefeld, Germany
Interests: stirring and mixing technology; fluid and particle flows; CFD; flow measurement technology; gas hydrates

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Guest Editor
Innovative Technologies Department, SUPSI, East Campus, Via la Santa 1, CH-6962 Lugano, Switzerland
Interests: fluid flow; CFD; heat and mass transfer; mixing

Special Issue Information

Dear Colleagues,

This contribution shall present new trends and insights in the application of flow simulations and flow measurement technology in chemical process engineering.

Both simulation and measurement technology have shown great developments and progress on their own, but in combination, especially, there are many synergies and connecting points. These topics will be explored in this Special Issue.

With this field, multiple aspects of modern engineering and sustainable chemical processes are addressed. Innovative flow simulations and up-to-date flow measurement technologies deliver chemical process optimization, improvements in mixing, savings of large amounts of thermal and electrical energy, minimization of resource and educt consumption as well as undesirable secondary products and therefore environmental impact, CO2 footprint, maximization of selectivities and yields, process safety, as well as economic efficiency and competitiveness of chemical products. This is precisely why the topics of this Special Issue are so important in regard to widespread chemical, mixing, and process engineering operations.

Flow simulation now seems to be present almost everywhere as a frequently used “standard tool” in companies for design purposes, parameter studies, virtual simulations of operational conditions, troubleshooting approaches, and customer-support services. In this context, however, awareness must be raised that, especially in the case of complex geometries and multiple phases, models that have been verified and validated experimentally by modern flow measuring technology are required to provide significant meaningfulness of the simulations in order to go beyond the status of “colorful simulation images”.

Rapidly increasing computing capacities of conventional computers lead to the spread of the technologies mentioned and new approaches to solution algorithms for simulations on the one hand, and, in particular, non-contact measurement technology on the other hand, resulting in progress and exciting developments in both areas.

Panta rhei – everything flows.

We look forward to your contributions!

Prof. Dr. Heyko Jürgen Schultz
Prof. Dr. Maurizio Barbato
Guest Editors

Manuscript Submission Information

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Keywords

  • fluid flow
  • particle flow
  • mixing
  • computational fluid dynamics (CFD)
  • discrete element method (DEM)
  • particle image velocimetry (PIV)
  • laser induced fluorescence (LIF)
  • shadowgraphy
  • chemical process engineering
  • heat and mass transfer

Published Papers (1 paper)

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Research

20 pages, 7880 KiB  
Article
Investigation of the Mixing Time Distribution and Connected Flow Fields in Two-Stage Stirred Vessels
by Marian Matzke, Mathias Ulbricht and Heyko Jürgen Schultz
Processes 2024, 12(1), 132; https://doi.org/10.3390/pr12010132 - 04 Jan 2024
Viewed by 737
Abstract
In this study, laser-induced fluorescence is used to investigate the homogenization in stirred vessels equipped with single- and two-stage stirrers. The acquired local mixing times across the reactor cross-section are plotted as mixing time distribution (MTD) and then compared with the previously measured [...] Read more.
In this study, laser-induced fluorescence is used to investigate the homogenization in stirred vessels equipped with single- and two-stage stirrers. The acquired local mixing times across the reactor cross-section are plotted as mixing time distribution (MTD) and then compared with the previously measured flow fields of the identical systems. With the help of a novel evaluation method, the mixing times are characterized with a normal distribution fit. With mean value and standard deviation as determined parameters, the mixing results of different installation heights and stirrer combinations are quantitatively evaluated and lead to clear recommendations for installations that enable efficient mixing. Full article
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