Downloads provided by UsageCounts
doi: 10.1002/jctb.5242
AbstractBACKGROUNDOscillatory baffled reactors have good prospect for use in batch to continuous transition for many industries. For reliable design and scale up it is essential to mathematically describe mixing and flow pattern of oscillatory flow. The aim of this study is to investigate the effects of operating conditions on residence time distribution (RTD) of liquid phase in a continuous oscillatory baffled reactor (COBR) and to propose a correlation that accurately describes the flow pattern.RESULTSAnalysis of results obtained for a wide variety of operating conditions in two geometrically similar reactors show that increase of oscillation frequency and amplitude both decrease axial dispersion, with a more prominent effect of amplitude. Proposed power‐law correlation is in very good agreement with all performed experiments. Peclet numbers predicted by this correlation are in reasonably good agreement with the literature experimental data and is much better than the ones obtained by the commonly used correlation, which contains more fitting parameters.CONCLUSIONResults show that relatively high amplitudes, low frequencies and low to moderate secondary non‐oscillatory flow should be used to ensure effective mixing with a low net flow in COBR. Developed correlation offers a simple, yet reliable way to predict the macroscopic flow pattern of liquid in COBR. © 2017 Society of Chemical Industry
Bioreactors, Process Engineering, Mixing, Process Intensification, Reactor Design
Bioreactors, Process Engineering, Mixing, Process Intensification, Reactor Design
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 39 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts