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Static mixers: Mechanisms, applications, and characterization methods – A review
Abstract
Abstract Static mixers and multifunctional heat exchangers/reactors (MHE/R) are qualified as efficient receptacles for processes including physical or chemical transformations accompanied by heat transfer due to their high productivity and reduced energy expenditures. The present work reviews recent conceptual and technological innovations in passive static mixers and continuous in-line reactors. Current industrial applications are discussed from a process intensification perspective, focusing on mixing and mass transfer performance. Typical experimental techniques employed to characterize and quantify the mixing process are explored. The work is complemented by a review of mixing fundamentals, knowledge of which allows the development of theoretical models crucial for the analysis of experimental data, like the chemical probe mixing assessment method. Considering the development of continuous flow equipment in numerous processes, advances in this field will certainly be of increasing interest to the scientific and industrial communities.
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Cited by
The Hitchhiker’s Guide to Flow Chemistry
Plutschack, M. B., Pieber, B., Gilmore, K., & Seeberger, P. H. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00183 · Cited by 1,995
Metadata
- Authors
- Ghanem, A., Lemenand, T., Della Valle, D., & Peerhossaini, H.
- Venue
- Chemical Engineering Research and Design
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 92
- Issue
- 2
- Pages
- 205-228
- ISSN
- 0263-8762 (ISSN-L)
- OpenAlex
- W2066450161
- Cited by
- 374
- References
- 0
- FWCI
- 6.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ghanem, A., Lemenand, T., Della Valle, D., & Peerhossaini, H. (2014). Static mixers: Mechanisms, applications, and characterization methods – A review. Chemical Engineering Research and Design. https://doi.org/10.1016/j.cherd.2013.07.013
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.