Modelling flow-distributed oscillations in the CDIMA reaction

Literature Information

Publication Date 2000-09-04
DOI 10.1039/B004552G
Impact Factor 3.676
Authors

Serafim Kalliadasis, John H. Merkin


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Abstract

The development of spatial patterns (‘flow distributed oscillations’) in a model representing the chlorine dioxide–iodine–malonic acid (CDIMA) reaction is investigated analytically and numerically. Flow distributed oscillations arise in a plug-flow reactor (PFR) for which the inflow concentrations of the various reacting species are maintained at appropriate constant values. Unlike other situations, the patterning here does not require any difference in diffusion coefficients for the different species. The patterns are, however, closely related to operating conditions for which the same chemical system would show temporal oscillations in a well-stirred batch reactor. As the flow rate through the PFR is varied, the system undergoes a sequence of transitions from absolute to convective instability and subsequently to stationary patterns. The onset of stationary patterns is found to be subcritical, so there is a range of operating conditions for which there is bistability between a stationary pattern and an essentially uniform state. The results indicate that these patterns occur for conditions that should be realisable experimentally and that typical wavelengths of the patterns would be of the order of 0.1 mm.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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